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VENTSPILS UNIVERSITY COLLEGEFACULTY OF INFORMATION TECHNOLOGIES

Programme code 46 48100

Masters degree study programme in Natural sciences: Computer sciences

(Mathematic Fundamentals of Computer Science andSatellite Information Data Processing Systems)

Self-Assessment ReportFor the Accreditation of the Study Programme

APPROVED

According to the Ventspils University College Senate’s resolution No._07.08._On _Febr. 21._2007

Programme Director:

Assoc. Prof. J. ŽagarsCorresponding Member of the Latvian Academy of Sciences

Chairperson of the SenateAssoc. Prof. V. Rudziša

2007

TABLE OF CONTENTS

1. AIMS, OBJECTIVES AND RESULT OF THE STUDY PROGRAMME………......3

2. CONTENT AND ORGANISATION OF THE STUDY PROGRAMME…………....42.1. Title of the study programme and degree obtained……….……………………………...42.2. Requirements for admission to studies and terms of matriculation…………………........42.3. Structure of the study programme.…………………………………...…………………..42.4. Study plan……………………………………………………………………………..….52.5. Terms for obtaining the Master’s degree in Computer Science.…..………………….….72.6. Conformity of the study programme to the documents regulating the higher

academic education……………………………………………………...………………..72.7. Evaluation of the study programme concerning interests of the EU, State of Latvia, Kurzeme Region and Ventspils University College……………………………...72.8. Comparison with other study programmes…………………...…………………………..82.9. Academic staff, its qualification.………………………………………………………..102.10. Experience of lecturers in Computer Sciences………………….……….…………….11

3. LEARNING PROCESS AND KNOWLEDGE ASSESSMENT………………….....133.1. Structural units carrying out the programmes……………………………………..…….133.2. Study process…………………………………………………………………………....133.3. Modern study methods….……………………………………………………………….133.4. Other forms of teaching………………………………………………………………....143.5. Assessment of knowledge and skills…………………………………………………....143.6. Assistance to students………………………………………………………………..…15

4. PROVISION AND MANAGEMENT OF STUDIES…………………………...……164.1. Compliance with the principles of democracy…………………………………...……..164.2. Results of students’ questionnaire……………………...…………………………..…...164.3. Co-operation with other educational and scientific institutions…………………...……194.4. Co-operation with employers……………………………………………………………194.5. Informative materials and equipment of the study programme………………………....20

5. SCIENTIFIC RESEARCH WORK OF UNIVERSITY LECTURERS AND STUDENTS……...………………………………………………………………...225.1. Scientific research work of university lecturers………………………………………...225.2. Scientific research work of students…………………………………………………….29

6. QUALITY ASSURANCE AND GUARANTEES……………………………….……316.1. Development plan of the study programme……………………………………….…….316.2. Specific objectives for the future………………………………………………….…….336.3. Main objectives for improvement of the Master’s degree study programme…….…..…336.4. Job opportunities for graduates and development of academic staff………. …...…...…346.5. Possibilities to continue studies in case of organizational changes…………….…...…..346.6. Assessment of expenses and financial sources of the programme ………………...…...34

7. SUMMARY…………………………………………………………………….…..…….36

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1. AIMS, OBJECTIVES AND RESULS OF THE STUDY PROGRAMME

The strategic aims and main objectives of the programme are defined by Regulations on State Academic Education Standard (03.01.2002. Regulations No. 2 of the Cabinet of Ministers of the Republic of Latvia) issued in conformity with the Article 14(19) of the Law on Education.

The specific aims of the study programme:

to prepare specialists in mathematic fundamentals of computer science including processing and analysis of digital images and satellite data with broad knowledge in higher mathematics, fundamentals in natural and engineering sciences, as well as to prepare students for independent research work;

to provide students with profound knowledge of mathematic modelling enabling them to engage in professional activities within the changing labour market.

The objectives of the study programme:

to provide students with opportunities to acquire knowledge and skills for their scientific and professional activity;

to create motivation and promote the fulfilment of students’ needs for further education including motivation to continue studies in doctoral programmes;

to develop abilities of students’ scientific analysis, pedagogic skills, the ability to solve problems independently, as well as to foster their participation in scientific problem solving.

Specialists in Computer Sciences (Mathematic Fundamentals of Computer Science and Satellite Information Data Processing Systems) with the Master’s degree in Natural Sciences are prepared during the studies. The level of theoretical knowledge and practical skills enable them: a) to start an independent research work; b) continue education in doctoral programmes in Natural Sciences or the second level professional higher education study programmes in information technologies for acquiring the fifth level of professional qualification; c) to improve one’s knowledge and skills independently and systematically for adapting oneself to the changing labour market.

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2. CONTENT AND ORGANISATION OF THE STUDY PROGRAMME

2.1. Title of the study programme and degree obtained

Title of the study programme: Master’s Degree Study Programme in Natural Sciences: Computer Science(Mathematic Fundamentals of computer science and satellite information data processing systems)

Programme code: 46 48100

Degree: Master of Natural Sciences in Computer Science

2.2. Requirements for admission to studies and terms of matriculation

In order to be accepted for studies in the Mater’s Degree Study Programme in Natural Sciences: Computer Science (Mathematic Fundamentals of computer science and satellite information data processing systems), the applicants should hold a Bachelor’s degree in Natural Sciences or Engineering of the following specialisations: Computer Science, Mathematics, Information Technologies, Physics, Astronomy, or Electronics and Telecommunications. The applicants should have acquired the knowledge in Physics, Mathematics, and Computer Sciences at the level of the Bachelor’s degree in Natural Sciences.

The admission procedure is regulated by terms of enrolment of the Ventspils University College.

2.3. Structure of the study programme

A credit point is the measure unit of the students’ workload. One credit point stands for the workload that equals to 40 academic hours. If we apply a coefficient of 1.5, it can be compared to the ECTS system used in Europe. In Ventspils University College, a half of this time is constituted of contact hours spent by the student in direct intercourse with a lecturer in lecture-rooms or computer laboratories. The other half of this time comprised of independent study of literature, Internet resources while preparing practical assignments either individually or together with group-mates.

A set of study programme courses corresponds to a certain number of credit points:

1. Compulsory part (Part A) including 45 credit points— theoretical courses (27 credit points)— topical problems (18 credit points)

2. Compulsory elective part (Part B) 15 credit points— from the complete offer (38 credit points)

3. Master’s thesis 20 credit points

Courses of the compulsory part (Part A) broaden students’ knowledge of Higher Mathematics, Physical Sciences, and methods of Applied Mathematics, as well as provide the basic knowledge in methods of computerised processing of digital images:

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- theoretical courses of the field contain courses in mathematical analysis, equations of mathematical physics, calculations of variations, numerical methods in algebra and analysis, astronomy, geophysics etc.

- actual problems of the field contain basic courses in methods of digital image processing, including calibration, enhancement, interpretation and classification of digital images, as well as methods of digital image compression using wavelets and fractal analysis.

Compulsory elective (B) courses provide opportunity to get specialisation in the following two subfields: (a) satellite information data processing systems and (b) mathematical modellation.

Master’s thesis is a form of tuition, which consolidates knowledge gained during the theoretical courses, using them in work of scientific research. Master’s thesis is individually carried research project in Satellite information data processing or Mathematical modelling which is being presented for the final evalutation commission. The Master’s thesis is the acknowledgment of student’s competence for obtaining the Master’s degree in natural sciences.

Stages for elaboration of Master’s thesis:

formulation of the task; analysis of the problem and options of possible solutions; accomplishment of the task, using scientifically argumented methods; evaluation of results obtained in the Master’s thesis.

Elaboration and presentation of Master’s thesis show the student has acquired a proper amount of theoretical knowledge, developed their analytical skills and ability solve scientific problems according to requirements of the study programme. The student has the opportunity to chose the theme of Master’s thesis.

2.4. Study plan

Theoretical courses of the field (compulsory) 01. t. 02. t. 03. t. 04. t.Equations of mathematical physics 4Selected topics of mathematics 4Calculus of variations 2Spatial statistics 3Numerical methods of algebra 2Numerical methods of analysis 2Optimization methods 2General astronomy 3Fundamentals of geophysics 3Fundamentals of Remote Sensing 2

Total (27) 9 9 9 -

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Actual problem courses (obligatory part) 01.t. 02.t. 03.t. 04.t.Digital image processing 4Methods of interpretation and classification 2Methods of image compression 2Computer graphics 4Processors of numerical images 2Digital cartography and GIS 4

Total (18) 4 6 8 -Number of credit points for obligatory courses (45) 13 15 17 -Total number of obligatory courses (16) 4 5 7 -

Compulsory elective courses of the field 01.t. 02.t. 03.t. 04.t.Programming of numerical methods (3)Nonlinear systems (3)Applications of digital images (3)MATLAB tools 2GAMS tools (2)Game theory (2)Satellite navigation systems and methods 3Satellite telecommunication systems (2)Applications of Remote Sensing (3)Introduction to radio astronomy 3Microwave remote sensing 2Sensor systems (2)Artificial intelligence (2)Wireless technologies 2Telecommunication technologies 4

Total (15) 7 5 3 -

Individual work 01.t. 02.t. 03.t. 04.t.Master’s thesis 20Total (20) - - - 20

Total 20 20 20 20

*) In the table constantly provided study courses of choice are indicated without bracketsIn the table periodically provided study courses of choice are indicated in brackets

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2.5. Terms for obtaining the Master’s degree in Computer Science

Programme duration: 2 years (4 terms)Programme extent: 80 credit pointsContent of credit points: 1CP = 40 working hours per weekForm: full time studies

To obtain the academic Master’s degree in Computer Science, the following is required:Acquiring the study courses mentioned in this programme, in the extent of 80 credit points (45 – part A, 15 – part B), and developing and presenting the Master’s thesis which is equal to 20 credit points.

2.6. Conformity of the study programme to the documents regulating the higher academic education

The study programme is developed according to The Law on Education and the Law on the Institutions of Higher Education of the Republic of Latvia. The study programme is elaborated according to all requirements of the Regulations on State Academic Education Standard. (03.01.2002. LR MK Regulations No. 2). We believe that this study programme corresponds to the formal requirements of the regulations mentioned above. The study programme as well corresponds to the Constitution of the Ventspils University College and other documents regulating the study process.

2.7. Evaluation of the study programme concerning interests of the EU, State of Latvia, Kurzeme Region and Ventspils University College.

Globalisation processes and modern information and communication technologies create completely new conditions for the development of labour market. More often the job opportunities are determined by the qualification of the employee and not by his location. Already now almost every programmer has an opportunity to take part in global competitions for the development of some programming project. With the improvement of the digital communications such work opportunities become available also to the specialists of other fields. These development trends determine the necessity to prepare specialists of computer sciences for many years in advance because development of the new services will require many computer specialists in different fields.

The study programme of Mathematic fundamentals of computer science and satellite information data processing systems was created considering that Latvia has left behind many European countries in the use of space information technologies in general and there is an objective need to prevent or at least to decrease this gap. Especially this concerns the fields declared as the prior in Europe, such as satellite navigation, use of satellite images and the satellite communications. The space information technologies mentioned above are widely used in managing structures of forestry and agricultural production, in the marine, air and land transport systems (logistics), also in the assessment and control of ecological situation, national defence and in many other fields in Europe and the world. It is essential that these technologies are introduced and developed in Latvia in a reasonably short time.

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This fact is reflected also in the current statement of government supporting the idea of Ventspils International Radio Astronomy Centre becoming the Geo-Informational Satellite Technology research, higher education and innovation centre of national importance. The study programme Mathematic fundamentals of computer science and satellite information data processing systems implemented in Ventspils University College is the next step towards achieving this aim.

It is important to increase competitiveness of both Kurzeme Region and Ventspils city raising the capacity of producing products with high added value. Development of information technologies, computer science and sattelite technologies are among the most essential factors for achieving this competitiveness attracting industrial investors and young, educated and talanted people.

Development of information technologies, computer science, mathematical modelling, as well as geo-information and satellite technologies in Ventspils University College and it`s scientifical centers (Ventspils International Radio Astronomy Centre and VUC Research and Engineering Centre) is included also in the Development plan of Ventspils University College.

2.8. Comparision with other study programmes.

It is not easy to compare Ventspils University College Master`s Degree Study Programme in Natural Sciences: Computer Sciences (Mathematic Fundamentals of computer science and satellite information data processing systems) with study programmes of other countries since it is created as a cross-discipline programme of computer science (information technologies), applied mathematics (modelling), as well as natural sciences and engineering studies (geo-informatics and satellite technologies). That is why instead of a comparison with only two other foreign institutions of higher education it was necessary to make more a more comprehensive analysis, comparing it to experience of several universities in the USA and Europe.

(a) Practically everywhere the satellite information data processing technologies are taught in combination with other courses. One large group of study programmes is oriented to different applications, mainly targeted on ecological, geodetical, geological and such a type of applications (Helsiniki University of Technology, University of Missuri-Rolla etc.).

The second large group of study programmes consists of mainly engineering based study courses oriented to formal methods (University of Central Lancashire in Great Britain), University of California in Santa Barbara etc.), where satellite data and other digital information and its processing is mainly examined from the aspect of signal processing theory. Accordingly, these studies have comparatively narrow scope.

The third, relatively small study programme group, consists of programmes where satellite data technologies are taught together with applied mathematics and computer science blocks in different combinations (Techincal University of Munich, partly Technical University of Vienna and Malaysia University of Technology). This third study programme group is the closest to Ventspils University College Master`s Degree Study Programme in Natural Sciences: Computer Sciences (Mathematic Fundamentals of computer science and satellite information data processing systems).

(b) There is a significant distinction between studying approach of space information technology (i.e., remote sensing, digital (mostly satellite) picture analysis and processing, methods of satellite navigation and geographical information systems (GIS), as well as other related disciplines) in the USA and other countries (incl. European) In the USA where very often intergrated Master’s and Doctoral study programmes are used in practice (University of Visconsin- Madison, University of Texas, University of Louisville and other) a huge amount of optional courses is offered. They are arranged into thematic and other groups from which

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students complete their individual study programme at a certain amount of credit points. This approach is common in the big universities of the USA where it is possible to acquire space information technology of any profile both with wide and narrow professional (satellite technologies in ecology, in costal supervision, in agriculture, in city mapping, in cartography, in geology, in climatography, in supervision of natural disasters and climat changes, in archaeology, in insurance and many other spheres) applications.

In Europe and elsewhere on the world there is a completely different system. Each universtity in Europe has specialized in relatively narrow sphere of usage of satellite data technology. Therefore students who would like to acquire some specific area of satellite data technologies must choose the most appropriate educational institution in Europe or other country. Generally, European universities offer most (but not all!) of the study programmes available (within the framework of choise) in universities of the USA.

(c) The report of the project eduGI.LA (ALFA project II-0250-A-FI) which few years ago was implemented by consortium of seven universities and institutions (Universidad de Concepcion (Chile), Instituto Nacional de Pasquisas Espacias (Brasil), Intituti Technologico de Toluca (Mexico), Universidade Federal de Pernambuco (Brasil), Universitaet Muenster (Germany), Universidade Nova de Lisaboa (Portugal), Universidad Jaume (Spain)) published on the Internet gives the insight in the training situation of remote sensing data processing and geospatial information technology in universities of Europe and Latin America. In the conclusions of this project it is mentioned that there is a huge difference in the way of space information technology study programme creation in Europe and Latin America that practically eliminates the possibility of student exchange. Without going to the root of the details of this huge, but interesting research it must be mentioned that in the end of the project a proposal of an ideal combined study course for regions of Europe and Latin America was created, and it covers the following study course groups:

Introduction to Geographical Information Systems (GIS) Spatial data modelling Methods of statistics Data bases User interfaces and visualizations Programming engineering (GIS applications) Network systems and web-applications Fundamentals of remote sensing Processing and analisys of digital images Image algebra Legal aspects of space IT Digital cartography Information system management Spatial interactive modelling Algebraic and semantic basics of GIS Spatial statistics

The Master’s degree study programme of Ventspils University College (Mathematic Fundamentals of computer science and satellite information data processing systems) is created

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according to the vision of this study course in European and Latin American regions, as well as using University of Wisconsin-Madison and University of Texas study course variety (listing of which would take too much space in this comparison). Similarly to other European universities, the Master’s degree study programme of Ventspils University College (Mathematic Fundamentals of computer science and satellite information data processing systems) does not include all the possible courses due to several reasons: a) a number of them were included in Ventspils University College Bachelor’s study programme in IT; b) some of the courses do not have space due to the limited number of available credit points; c) for some courses it is impossible to find the teaching staff in the closest area – the only specialists can be found either in Germany, Brazil or universities of other countries. In any case, the goal of the study programme is not to achieve the impossible, yet to create the first study programme in Latvia offering qualitative academic education in computer applications of mathematical modelling in connection with main satellite information data processing disciplines.

2.9. Academical staff, its qualification

The course of Ventspils University College’s master study programme in Natural Sciences: Computer sciences (Mathematic Fundamentals of computer science and satellite information data processing systems) was developed by the following researchers and Ventspils University college university lecturers:

Juris Žagars, Dr. habil. phys., VUC Associate Professor; Zigurs Sīka, Dr. habil. sc. ing., VIRAC Lead researcher; Juris-Roberts Kalniņš, Dr.habil.phys., ERC Lead researcher; Jānis Vucāns, Dr. mat., VUC Professor; Māris Ābele, Dr. phys., VIRAC Lead researcher; Aivars Zemītis, Dr. mat., Associate Professor (ex-VUC) Juris Ozols, Dr. phys., VIRAC Lead researcher; Ilgonis Vilks, Dr. ped., VIRAC Lead researcher; Gaļina Hiļkeviča, Dr. mat., VUC Assistant Professor; Ivars Šmelds, Dr. phys., VUC Assistant Professor; Boriss Rjabovs, Dr. phys., VIRAC Lead researcher; Mārtiņš Kriķis, Dr. sc. comp.(Ph.D), VUC Assistant Profesor; Juris Freimanis, Dr. phys., VIRAC Researcher; Manfrēds Šneps-Šneppe, Dr. habil. sc. ing., ERC Lead researcher;

The study programme is carried out by VUC permanent staff:

Juris Žagars, Dr. habil. phys., VUC Associate Professor; Gaļina Hiļkevičā, Dr. mat., VUC Assistant Professor; Ivars Šmelds, Dr. phys., VUC Assistant Professor; Boriss Rjabovs, Dr. phys., VIRAC Lead researcher; Juris-Roberts Kalniņš, Dr. habil. phys., ERC Lead researcher; Jānis Vucāns, Dr. mat., VUC Professor; Juris Freimanis, Dr. phys., VIRAC Researcher; Valerijs Bezrukovs, Dr.sc.ing., VIRAC Lead Researcher; Manfrēds Šneps-Šneppe, Dr. habil. sc. ing., ERC Lead researcher;

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Besides, highly qualified university lecturers from universities of Latvia and other European Union countries:

Radu Ranta, Assoc. Prof., Dr. sc. comp. (PhD), Technical University of Nancy (France); P. Misāns, Prof., Dr. sc. ing., Riga Technical University (Latvia); O. Dumbrājs, Assoc. Prof., Dr.phys.(Ph.D), Finnish Academy of Science (Finland,

Latvia); L. Gurvits, Prof., Ph.D. astrophys, JIVE Institute (Netherlands); V. Bezrukovs, PhD student, Cork Institute of Technology (Ireland); E. Mūkins, Mg. sc., University of Latvia (Latvia).

2.10. Experience of lecturers in computer science

Associate (corresponding) member of the Latvian Academy of Science (LAS), Dr.habil.phys., Assoc. Prof. J. Žagars (57 years old) for about 10 years has been working as a programmer at the University of Latvia, developing software for satellite observatories in Russia, East-European countries and Finland. The programmes and integrated complexes (systems) designed by him used to be officially applied in Russian Space Research Institute (Moscow), in the Institute of Astronomy of Russian Academy of Sciences (Moscow), in Lebedev Physical Institute of Russian Academy of Sciences (Moscow) and in its branch of satellites and Moon laser ranging in Crimea (Ukraine), in Czech Technical University in Prague (Czech Republic), in Russian Central Institute for Physical-technical and Radiotechnical Measurements (Irkutsk), in the Special Construction Office of the Moscow Energetic Institute, in Pulkovo observatory (Saint-Petersburg), in Crimean Astrophysical Observatory (Ukraine), in Finnish Geodesic Institute (Helsinki), in universities of Uzhgorod (Ukraine) and Juzhno-Sakhalinsk (Russia), in Potsdam Centre for Geoscience Research (Germany), in Space Research Institute of Bulgarian Academy of Sciences (Sofia) and in another places. He also was implementing the installation and the modernization of the software developed by him and his colleagues of the University of Latvia to IBM-370 and IBM-PC computers. Although more than 10 years have passed from time when the software products were developed, the software is still used in Russia as the modules for the space research software of the new generation.

Associate (corresponding) member of the LAS Dr. math, Assoc. prof. Aivars Zemītis (52 years old) for more than 8 years has been working in Germany – first in the University of Kaiserslautern, and then in the Fraunhofer Institute for Industrial Mathematics. His work in Germany was related to development of the original data processing systems that as the software product then were handed over to the industrial companies. He was used to develop mathematical models and algorithms, as well as doing programming (including the realization and visualization of algorithms). The software was developed both for uniprocessor and dual-processor computers. He used to work with 64-processor computers nCUBE and with the PC clusters. In case of multiprocessor computers the MPI (Message Passing Interface) system was used. The object-oriented modelling technology and the programming language C++ were used in development of software. For many years in Ventspils University College A. Zemītis has been giving the programming course on Visual Basic, C++ and Java languages. In University of Kaiserslautern A. Zemītis had been the supervisor of the doctoral dissertation on the use of level set method.

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This method is still topical in the digital image processing and analysis software. The work started in Germany is being continued in co-operation with the image processing team of Technical University of Nancy. In VUC A.Zemītis has been the leader of the project Codewitz financed by the European Commission. This project was devoted to the development of the online learning aids for the C++ and Java programming languages.

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3. LEARNING PROCESS AND KNOWLEDGE ASSESSMENT

3.1. Structural units carrying out the programmes

Ventspils University College Master`s Degree Study Programme in Natural Sciences: Computer Sciences (Mathematic Fundamentals of computer science and satellite information data processing systems) is carried out in Ventspils University College’s Faculty of Information Technologies established in August 2005 on the basis of Information Technologies section of Ventspils University College Faculty of Economics and Business Administration. This faculty provides also studying in Bachelor’s study programme of natural sciences in computer science and two professional IT study programmes: Second level professional study programme to obtain Programming engineer’s specialty and First level professional study programme to obtain Computer systems and networks administrator’s specialty. The Faculty of IT is composed of two departments: Department of Mathematics and Natural Sciences and Department of Computer sciences and telecommunications. The Faculty of IT also has a constant and active cooperation with Ventspils University College’s Faculty of Economics and Business Administration, Faculty of Translation Studies, the Ventspils International Radio Astronomy Centre (VIRAC), VUC Engineering Research Centre (ERC) and other Ventspils University College’s structural units (Department of Informatics and Technical study aids, VUC Academic Library, Study department, Lifelong education’s department, Public Relations department), as well as economic, financial and administrative structures of VUC.

3.2. Study Process

The study programme is implemented in 4 terms, in each term 20 credit points are acquired. The study programme is realized using different study forms. Those are lectures, seminars, discussions, practical tasks, laboratory works, analysis of literature, as well as study projects.

Practical lectures of the use of computer systems (computer graphics, digital image processors and others), are held in a computer class. Lecturers use computer projectors to publicly point at important or complicated aspects. If there is a need, lecturer can help the students right at their working places since during the practical lectures every student has their own computer.

3.3. Modern study methods

Interactive study methods. Ventspils University College took part in a project, financed by European Commission, “Codewitz” ensuring extra opportunity to use interactive study methods, developed by one of projects partner institutions. Ventspils University College take advantage of interactive study methods worked out by colleagues form Finland, Iceland, Germany and Romania, during training courses.

In collaboration with Riga Technical University, VUC lecturers, using management system “Blackboard”, have an opportunity to work with common course development. Ventspils University College also uses free course management system “Moodle” (http://moodle.org/) which allows placing study materials on VUC server so that students with a help of a browser can easily access them out of University territory.

Lectures in videoconference mode. Ventspils University College has a high-speed digital connection with Royal Institute of Technology in Sweden. Holding lectures in videoconference mode gives new opportunities to the students of VUC to take place in international study programmes without leaving Ventspils University College’s territory.

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Students not only have to listen in what is said in lectures, but also have to actively participate in discussions because their valuation in the end of the study course is dependent on their class activities. There have also been test courses with Stanford University (USA). In future it is planned to expand such co-operation between universities and to work out courses that could be lead by the lecturers form VUC and that foreign students would be interested in.

3.4. Other forms of teaching

Work in groups. The independent tasks and research work have significant role in the development of students. Very often such working methods are also favoured by students themsleves. In this case students own initiative is stimulated and students learn from each other. An urge not to disgrace themselves gives as an impulse for those who cannot keep up with everything successfully. Each spring of the study year a research work conference is organized. The students of Master’s degree study programme also successfully take part in it. It has to be mentioned that some of them are engaged in research projects that are financed by the European Community.

Working out the Master’s thesis is a teaching method that strengthens knowledge that is gained during the theoretical courses by putting it into practical work and research work. Master’s thesis is an independently accomplished project which is presented in front of the final examination committee. Master’s thesis is the verification of students’ competencies to obtain the master’s degree.

A dialogue between the lecturer and the student can also be regarded as a special study form. At the beginning of each study term each lecturer must provide a consultation timetable. Each week at certain time a student may see the lecturer individually and discuss themes that student is interested in. Unfortunately, not all students understand that such dialogues are necessary for them. Consultation times are used also for students to pass the test works that they have failed. Very important dialogue between the supervisor and the student takes place also during the preparation of the Master’s thesis. This helps the student to define their strengths and weaknesses in the assignment and to improve what is necessary. In the result of the discussions it is possible to recognize the need to change the work plan and this way improve the quality of the paper.

The students of VUC have also a possibility to improve their knowledge in the universities of other countries. Still the tough study plan (the length of studies is only two years) at the moment makes an actual student exchange difficult. The Council of study programme very carefully considers the possibility to establish closer co-operation with foreign universities and then together with them solve the exchange problems. A real possibility for foreign students to arrive in VUC will only be ensured when the study programme of VUC will contain a term of studies in English.

3.5. Assessment of knowledge and skills

The basic principles and the arrangements of the evaluation of students are determined by Regulations on State Academic Education Standard (03.01.2002. Regulations No. 2 of the Cabinet of Ministers of the Republic of Latvia) and it is carried out in accordance with the laws and regulations of VUC.

The evaluation of knowledge, abilities and skills in all courses of studies is carried out according to 10-grade system. An exam is passed (credit points are given to students) if the evaluation is from 4 (almost averagely) to 10 (with honour) grades.

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Students pass different tests required by the study programme in the spoken or written form. Tests are carried out on the basis of previously worked out questions, using the study course programmes.

For some study courses the faculty have worked out a system of passing tests considering the results of mid-term examinations (for example, 4 tests + final examination).

During the first two classes of the term the faculty inform students about the form of tests and requirements that implies this definite study course.

3.6. Assistance to students

1. At the beginning of the term each lecturer appoints the consultation time after discussing this question with students so that they can use it. A secretary of the Dean’s office is responsible for availability of a schedule of consultation times. If it is necessary, there could be individual consultations or consultations for larger or smaller groups of students.

2. Practical trainings on computers are carried out by under supervision of faculty members, Ventspils University College guarantees that during the lectures there is at least one computer available per student.

3. Ventspils University College has its own local computer network which is widely used, and almost all members of the faculty place there additional materials on their courses in electronic form. The local network provides access to interactive study materials. There are many references to the Internet sites where good resources of study materials especially the ones concerning information technologies can be used for free.

4. As mentioned before, an interactive environment ,,Moodle” is used, so that electronic study materials could be effectively used during the study process. It makes the study process more flexible for students (it is possible to use these materials out of Ventspils University College).

5. Students give consultations to their course mates because they have realized that for some of them it is easier to communicate with their course mates rather than with professor. Students are stimulated to use free auditoriums where divided into small groups they can work on their knowledge systematization.

6. Ventspils University College has its own computer forum, which is popular among students, when reading it they get information relating to organization of study process. There is a possibility for students to express their opinion on the news published there.

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4. PROVISION AND MANAGEMENT OF STUDIES

4.1. Compliance with the principles of democracy

1. At least once per term managers of the study programme arrange a meeting with students where they talk about topical problems connected with the study programme.2. Professor of each subject develops a detailed description of his course which is afterwards implemented in the teaching of relevant course. All of the professors regularly work to improve the study process and hand in their suggestions to the Council of the study programme or to the Study Programme Director. 3. Study programme and predictable changes in it first are approved in meetings of the Council of the study programme to which other representatives from both specialized and non-specialized departments and also other specialists can be invited. 4. Study Programme Director hands in the discussed and valid changes to the Faculty Council for the approval of final decision. 5. Decisions that are connected with finances and hiring of new professors are promoted for the Senate of VUC. 6. New professors are hired either temporarily on the basis of rector’s order, or they are elected. Hiring of new professors happens after listening to an open lecture, where any professor and student can participate. 7. Election of professors take place according to regulations about elections in scientific and academic professions. 8. At the end of each term student’ questionnaires about all subjects are carried out. All the questionnaire results are available only for the Administration of Faculty, but each professor receives evaluation of his/her course. The questionnaire helps the professor to evaluate the situation and make decisions how to change the teaching of a course, by making it more accessible to students. 9. In situations when negative comments have risen, the Head of Department is informed about it. Then the Department usually appoints a hospitator. Observations and suggestions from the colleague help the professor to solve the problem more easily. 10. The specialized departments organize visiting of professor’ lectures by selection. The results of hospitation are discussed with the corresponding professor. 11. According to definite norms, students are represented both in the Senate of VUC and its permanent commissions. Wherewith students are in a direct way involved in the making of all important decisions and in this way the defense of student interests is ensured.

4.2. Results of students’ questionnaire

Each term students are invited to participate in a questionnaire about the quality of studies, and its goal is to evaluate the quality and contents of education, professional qualification of professors and their compliance to the needs of the programme. Students also are given the possibility to freely formulate their comments and points of view about possible drawbacks of the study programme, or in contrary – express their gratitude in any of these questions. The results of the last year’s questionnair are summarized in the following table.

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Spring term of the study year 2005/2006 in ITM

Nr. Questions absolutely agree do not absolutely cannot did notagree agree do not agree answer answer

1. Starting the course, teacher

0% 43% 38% 12% 7% 0% introduced us with the course acquisition requerements and the course programme2. Teacher informed us about 0% 29% 41% 20% 10% 0% evaluation system3. Teacher was well prepared for 0% 57% 27% 13% 2% 0% the lectures4. Course material was different 0% 62% 32% 5% 1% 0% from other materials5. Teacher clearly explained 1% 37% 39% 18% 5% 0% the theme 6. The course outline

1% 40% 43% 10% 6% 0% was systematic and comprehensible7. During the course teacher

10% 46% 26% 12% 6% 0% covered all the planned material in the programme8. Teacher’s speech was clear 1% 44% 34% 17% 4% 0% and understandable9. Teacher usually was not late 0% 83% 16% 0% 1% 0% for the lecture10. Time of the lectures was used 0% 56% 24% 17% 2% 0% productively11. Teacher showed the latest

10% 38% 43% 9% 1% 0% achievements and problems in the field 12. Teacher used teaching

0% 50% 30% 17% 2% 0% methods that stimulated the comprehension of them13. Teacher promoted my thinking 2% 51% 27% 20% 0% 0%14. Teacher effectively used

22% 49% 21% 7% 1% 0%

audiovisual material (overhead projector, video projector etc.) Mark the fifth variant, if teacher did not use supplementary aids15. Recommended studying 1% 45% 28% 24% 1% 0% material was available.

5h and 2-5h 1-2h till 1h cannot did notmore answer answer

16. How many hours a week did1% 1% 34% 38% 26% 0% you devote to independent

studies

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absolutely agree do not absolutely cannot did not

agree agree do not agree answer answer17. Teacher evaluated students’ 1% 43% 23% 16% 17% 0% work during all term.18. Teacher’s attitude towards 1% 72% 27% 0% 0% 0% students was favourable19. There was a good contact

1% 46% 38% 2% 1% 0% between teacher and audience 20. It was possible to get 2% 56% 38% 2% 1% 0% teacher’s consultation

very difficult middle easy cannot did not

difficult answer answer21. Please, evaluate the level of 2% 5% 35% 44% 13% 0% complexity of this course.

75- 50-74% 25-49% 0-25% cannot did not

100% answer answer22. How many lectures of this 1% 67% 22% 5% 5% 0% course did you attend?

8-10 6-8 4-6 0-4 cannot did not answer answer23. Which mark did you get or 100% 0% 0% 0% 0% 0% think to get in this course

It is necessary to point out that during the questionnaire all teachers of the study programme were evaluated, but students’ activity in the evaluation process was rather different. For example, during some inquiries separate teachers were evaluated by a large number of students, while very few students expressed their opinion about other teachers. Students have not evaluated teachers of all programmes each term. In that way, after making the analytical summarization to all valuations there were set up particular rates that helped to define valuation of each question. It diminished the possibility to make unproved conclusions.

In compliance with the data acquired, almost all evaluations of the teachers of IT Master’s degree study programme was very positive from different points of view: on the whole students agree that lectures and seminars are comprehensible, visual materials are used when it is necessary and that the chosen themes can hold students’ attention during the lecture. The evaluation of the question about teacher’s readiness and theme’s perceptibility during lecture was quite high. It is interesting that students very positively evaluated proposed achievements in the field and problem analysis within the each term of the study programme. According to data of the spring term questionnaire, students’ evaluations to the above mentioned questions were more positive. It was also the survey with the biggest number of teachers evaluated and students involved. Overall, the results show positive evaluation of the teacher’s work in IT Master’s degree study programme. Furthermore, separate programme valuations were consistently improved that suggests possible correlation between programme’s development, teachers’ professionalism and students’ positive valuation.

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4.3. Co-operation with other educational and scientific institutions

1. Lecturers from the University of Latvia, Riga Technical University and other higher education institutions work in the present study programme. Several full-time lecturers of VUC also deliver lectures at the University of Latvia, Liepaja Academy of Pedagogy and elsewhere.2. The Director of the study programme is the associate (corresponding) member of the Latvian Academy of Sciences. This fact ensures a constant link to the main co-ordination centre of Latvia’s science.3. A special co-operation among Latvian higher educational institutions has been formed in the field of e-learning. The University of Latvia, Riga Technical University, Latvia University of Agriculture, Liepaja Academy of Pedagogy, Daugavpils University, and Vidzeme University College act as partners. One local and one international seminar on the e-learning issues have taken place in Ventspils.4. Ventspils University College has signed Socrates/Erasmus agreements on the students’ and university lecturers’ exchange with more than 10 European institutions of higher education (two of them – with the Technical University of Nancy in France and Lecce University in Italy – are signed specially for the needs of Master’s Degree study programme of Information Technologies).5. Close links have been established with Tampere Polytechnic, Tampere University of Technology, Reykjavik University, Furtwangen University and other higher educational institutions.6. Ventspils University College has long-term contacts with the University of Kaiserslautern and the Fraunhofer ITWM (Institute for Industrial Mathematics).7. Co-operation with the Technical University of Nancy has been commenced in the field of processing of digital images.8. VUC is involved in a new consortium that consists of Tampere Polytechnic, IT University of Copenhagen, Budapest University of Technology and Economics, and the Technical University of Liberec, in order to commonly work on the software development issues for mobile devices.9. Contacts with Swedish Royal Institute of Technology (KTH) have resulted in broadband connection with Sweden that gives new opportunities for the study process and scientific co-operation. The connection of fibre optic cable allows defining completely new approaches for scientific researches: “grid computing”, development of web services, and the use of services provided by the Ventspils International Radio Astronomy Centre.10. Initial contacts have been made with the German Aerospace Centre (DLR). This organization has expressed the willingness to co-operate with Ventspils University College. It is interested in the processing of signals and images as well as in the use of antennae of Ventspils International Radio Astronomy Centre in order to perform environmental monitoring.Currently Ventspils University College has many collaboration partners. The next step is to aim at drawing in the sufficient number of new and qualified people to Ventspils University College and its research institutions. Only then the contacts will bear real fruit.

4.4. Co-operation with employers

IT Master’s degree study programme at Ventspils University College was commenced in the autumn of 2005, and at this moment no one has yet completed this study programme. The first graduates will finish their MA studies in the summer of 2007. At present there are only references of employers` representatives on the study programme. The current co-operation can be best described by the following facts:

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1. The development of the study programme was done in close co-operation with Latvia’s leading experts in the area of IT, space technologies and mathematical modelling.

2. Most of the students of this study programme have already found a job and they are engaged in scientific research in VUC Engineering Research Centre and Ventspils International Radio Astronomy Centre. There are also some students who work in Ventspils Digital Centre.

3. Future plans are being developed in close co-operation with Ventspils City Council and its recently established Ventspils High Technology Park that will foster scientific research work as well as production, and development of new IT companies.

4.5. Informative materials and equipment of the study programme

Auditoriums and lecture rooms

For providing the study process in “Master’s Degree Study Programme in Natural Sciences: Computer sciences” the technical and information resources of Ventspils University College is being used. Classes take place in the premises of VUC in Ventspils, Inženieru Street 101. The study facilities consist of: modern lecture rooms, Ventspils Central library and the library of VUC, technical equipment facilities for high-quality studies, several computer rooms with the access to Internet, advanced amphitheatre auditorium with 190 seats, which is equipped with audiovisual multimedia aids and equipment for simultaneous interpreting, as well as offices with computer work places for university lecturers. In 2006 the new third building of VUC with lecture rooms, computer rooms, instructional laboratories and offices for lecturers was opened. Construction of this building and the purchase of equipment for the faculty of Information Technologies were financed by EU structural funds, Latvian government and Ventspils City Council.

Computers and technical facilities

3 computer rooms with 30 work places each, one computer room with 18 work places and another computer room in library with 12 work places were created in 2006 to ensure the study work of the students of VUC. These resources are being used rationally for lectures of many study subjects, as well as for independent work of students – mainly in evenings and holidays. In the end of 2006 another computer room with 30 work places was created and starting from the spring term of the year 2007 lectures will take place there.

Functional maintenance and service of the hardware and software is done by the department of Informatics and technical study aids (ITSA) that has the servicing function. Its main task is to back the study process with the possibilities of information technologies, consultation and help for computer users. With the help of ITSA department a new computer laboratory with 12 work places was created specially for doing laboratory work in Computer system structures.

In the Development plan of VUC which is approved with Ventspils City Council, it is planned to carry out the change of computers after each 3-4 years depending on the pace of development of modern information technologies in the world. Alongside with the change of computers, a gradual change of software, servers, printers and other computer support equipment has been planned. Also powerful application servers are maintained that allows working in graphical terminal mode and using the latest or specific applications on less powerful computers.

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The speed of the Internet connection of Ventspils University College (VUC) is 16 Mbps. Ventspils University College together with Swedish Royal Institute of Technology (KTH) in Stockholm have right to use one fiber over an undersea optical cable between Ventspils and Stockholm. In 2006, VUC and the Ventspils City Council with a support from the EU established the optical network of Ventspils City that provides an optical network connection between VUC, an undersea optical cable and an optical cable to Ventspils International Radio astronomy Centre (VIRAC), and currently there has a 1 Gbps connection between VUC and KTH been established. If necessary, the purchased equipment with the help of additional modules allows achieving also a higher connection power. In 2007 it is planned to increase the Latvian Internet connection capacity to about 100Mps.

There is a separate network for the users of wireless network and student hotel. This network allows a simulatenous connection of several Internet service providers (ISP), so the user can choose their preferable ISP. 170 or even more users at once work in this network which indicates that the majority of students have their personal computers.

Library and communications

Students and the lecturers use the services of the Ventspils Library for the learning process. The VUC unit of this library is located in the premises of the University College, and in 2006 the stocks of VUC Library included about 20,677 volumes and about 700 audio-visual materials (audio and video cassettes, CD-ROM) in mathematics, physics and natural sciences, computer science, management, economics, law, philosophy, psychology, linguistics, translatology, literary science etc.). About 15,500 publications are in foreign languages: 7,500 – in English, 4,500 – in German, 5,000 – in Russian and 510 – in French. Besides, the students and the lecturers of the University College have access also to ample stocks of publications of fiction and of social, technical and other sciences that are arranged in the central building of the library in Ventspils, Akmeņu Street 2. All the publications of the library are recorded in an electronic catalogue, and the visitors’ service is automated. The automation of all spheres of activity of the library is provided by the system ALISE.

Since 2000 the system ALISE has a module “Electronic Catalogues of Latvian Libraries on the Internet” available. This model allows the library to publish catalogues on the web, as well as access catalogues of other libraries through it.

In order to ensure qualitative studies, the library stocks get regularly replenished with world-approved and topical latest study and scientific literature, as well as periodicals. A suitable study, scientific and reference literature is provided also in Latvian language. The extension of the library stock is updated by the Advisory committee of the library, where the lecturers of the University College take an active part in stock building using the latest advertising catalogues and the resources of the Internet.

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5. SCIENTIFIC RESEARCH WORK OF UNIVERSITY LECTURERS AND STUDENTS

5.1. Scientific research work of university lecturers

The core of the staff for the realisation of the Master’s Degree Study Programme in Natural Sciences: Computer Sciences is formed by two Associate Professors working in VUC full time:

Dr.habil.phys. Juris Žagars (associate of LAS), Dr.habil.sc.ing. Juris Roberts Kalniņš

two Assistant Professors working in VUC full time:

Dr.phys. Ivars Šmelds, Dr.math. Gaļina Hiļkeviča,

as well as the leading researchers of Ventspils International Radio Astronomy Centre (VIRAC) and the VUC Engineering Research Centre.

Scientific interests of Dr. habil. phys. Juris Žagars (associate of LAS) are related to the use of space information technologies, and his scientific work within the last six years can be characterised by the following activities:

1. Participating in the preparing and implementation of research projects No. Title of project1. Intersectoral Project of LAS “VIRAC Research Equipment and Establishment of R&D

Infrastructure for Long-term Radioastronomy and Satellite Observations in the Framework of Latvian and International Programmes”

2. Agreement of April 6, 2006 concluded with the Ministry of Defence of the Republic of Latvia about the Creation of the Applied Space Research Infrastructure on the Basis of Radio Telescope RT-16

3. EU FP6 Integrating Activity # 026642 “Express: Production Real-Time e-VLBI Service”4. EU FP6 Integrating Activity # 505818 “Radio Net: Advanced Radio Astronomy in Europe”5. EU Structure Funds’ National Programme Project No.12 “Provision of Modern Scientifically

Technical Equipment and Infrastructure on the VIRAC Aerials for Realisation of International, Scientific and Commercial Projects”

2. Participating in conferences

2.1. Participating in international scientific congresses, conferences, symposiums with scientific reports

No. Title, time and place of conference Title of report1. The Annual Scientific Conference on the European VLBI

Network, Florence, May 18-19VIRAC Readiness for the International Interferometric Session

2. NATO/CCMS Conference Space Technologies in Ecological Researches, St. Petersburg, July 3-6

Higher Educational Study Programmes in Space Technologies and their Development in Latvia

3. FP6 Integrated Research Project EXPReS Conference, Amsterdam, October 31–November 1

VIRAC Research Programme Within the Content of European VLBI Network, Issues and Solutions

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2.2. Work in scientific congresses, conferences, symposiums without report on the international scale

No. Title, time, place of conference1. European Strategy Forum on Research Infrastructures, Brussels, March 32. European Strategy Forum on Research Infrastructures, Brussels, April 113. WEGENER Conference of Geophysics of the Mediterranean Sea Basin, Nice, September 4-74. FP7 Preparatory Committee in the Thematic Priority Space, Brussels, November 245. FP7 Preparatory Committee in the Thematic Priority Security, Brussels, November 24

2.3. Work in scientific congresses, conferences, symposiums without report on the scale of Latvia

No. Name, time, place of conference1. General Autumn Meeting of LAS, Riga, December 7

3. Scientific publications in editions approved by LAS

No. Title of edition, place, time of publication

Title of publication Co-authors

1. Geophysical Research Abstracts, vol. 3, 2001, ISSN: 1029-7006

Gravity data application for geoid and complex structure modelling,

Krisane G.,Kaminskis J.,Zhagars Y.


Geodetic connection of astrogeodynamic objects in VIRAC site (Irbene, Latvia),

Zhagars Y.,Kaminskis J.


Development of permanent GPS network in Latvia,

Zhagars Y.,Kaminskis J.

4. Proceedings of the 1st Common Baltic Symposium GPS Heighting based on DFHRS and national-wide permanent GPS reference system, Riga, June 11, 2001.

Basic principles of the global positioning system (GPS),

J. Žagars

5. EcoSys Beitrage zur Okosystemforschung, proceedings from the CCMS Pilot Study meeting Lecce (Italy), Universitat Kiel, 2003, ISSN: 0940-7782.

Development of space information technologies and radio astronomy for education and research in Latvia,

Zagars J.

6. EcoSys Beitrage zur Okosystemforschung, proceedings from the CCMS Pilot Study meeting, Universitat Kiel, 2003, ISSN: 0940-7782.

Introduction to space information technologies for environmental assessment (Educational Project),

J.Zagars

7. Geophysical Research Abstracts, vol. 5, 130040, 2003, ISSN: 1029-7006.

Global Navigation Satellite System adoption in Latvia

J.Kaminsikis,J.Zhagars

8. Geophysical Research Abstracts, vol. 6, 03377, 2004, ISSN: 1029-7006.

Implementation of Permanent GNSS

Y.Zhagars and J.Kaminskis

9. ESFRI Report 2006, Luxembourg, 2006 European Roadmap for Research Infrastructures

Juris Zagars (working group member)

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4. Reviewed scientific publications in other editions (last six years)

No. Title of edition, time, place of publication


1. Scientific Papers of University of Latvia, Anniversary Edition, Riga, 2004

Ventspils International Radio Astronomy Centre at the Beginning of Its 2nd

Decade

Juris Žagars

2. CD with the Support of Soros Fund, Riga, 2001

Visual Astronomy J.Žagars, I.Vilks

5. Preparation and publication of monographies

No. Title of monography, year of publication, publishing house1. J.Žagars, I.Vilks Astronomy for Universities, (283 pp), LU Academic Publishing

House

6. Reviews of scientific researches

No. Author and title of the scientific work Title of the scientific edition (journal, conference, issue of publications)

1. Operation of the Museum of Friedrich Zander

Gunta Vilka, University of Latvia, Sections of Latvian Science History and MuseologyIlgonis Vilks, University of Latvia, Section of Latvian Science History and Museology

Scientific Papers of University of Latvia

7. Cooperation in commissions of field specialists (Board of National Experts) and international organizations:

Member of LAS 3rd BNE (physics, mathematics and astronomy) 1991-1996, 1998-2002. Member of International Astronomical Union (IAU), European Geophysical Society

(EGS) and European Astronomy Union (EAU). Latvia’s delegate in the European Commission FP6 Aerospace programme committee. Latvia’s delegate in the European Commission FP7 programme committee’s thematic

priorities Space and Security. Latvia’s delegate in the European Commission’s European Strategy Forum on Research

Infrastructures(ESFRI) and the forum’s head committee for Physics and Engineering Sciences

Latvia’s delegate in the European Commission’s advisory council on Earth observation (GAC) for environment and security.

Dr.habil.sc.ing. Juris Roberts Kalniņš, scientific accomplishments during the last six years can be characterized by the following activities:

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http://cordis.europa.eu/esfri/

http://cordis.europa.eu/esfri/

1. Participation in conferences1.1. Participation in the international congresses, conferences, symposiums with scientific

reports

Nr. Title, time and place of conference Title of report Co-authors1 The 4th International Conference

“Information Technologies and Management”, p.64-65.April 11-12, 2006, Information System Institute, Riga, Latvia

“Fluctuations and control in management”

V.Bardacenko, S.Hilkevics

2 The 4th International Conference “Information Technologies and Management”, p. 64-65.April 11-12, 2006, Information System Institute, Riga, Latvia

“Systems Thinking for Research and Development Policy Impact Assessment in Latvia”

G.Ozolins

3 The 24th International Conference of the System Dynamics Society

“Systems Thinking for Research and Development Policy Impact Assessment in Latvia”

G.Ozolins

2. Scientific publications in the issues approved by the LAS (during the past six years)

Nr. Title of the issue, time and place of publishing


1 Phys. Chem. Chem. Phys., 2006, 8, 1310-1314

“Calculation of the Generalised Maxwell-Garnett equation: application to electric and chemical transport”

J.Jamnik, E.A.Kotomin, and J.Maier

3. Organizing of scientific conferences and seminars

Nr. Title, time and place of conference Main tasks performed1 The 4th International Conference “Information

Technologies and Management”, p. 64-65. April 11-12, 2006, Information System Institute, Riga, Latvia

Organising committee

Dr.phys. Ivars Šmelds, the scientific accomplishments during the past six years are characterized by the following activities:

1. Participation in preparation and realization of the research projects2.

Nr. Title of project Remarks 1 VLBI test observations using VSRC RT-32 Grant of the Ministry of

Education and Science2 Preparation of the VSRC radio telescope RT-32 and its

involvement in international radio-interferometrical and radio-astronomical research works

Subproject of the co-operation project of the Latvian Council of Science

3. Participation in conferences

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3.1. Participation in the international congresses, conferences, symposiums with a scientific report

Nr. Title, time and place of conference Title of reportSymposium #326 of the International Astronomical Union (IAU), Prague, August 2006

Determination of the Orbital elements of the Near the Earth Asteroids based on the Distance and Velocity measurements based on radar measurements

EVN symposium in Torunia, Septembre 2006 Fringe test on the Ventspils RT-32CBD board meeting, Westerbork, Netherlands Test observations on the Irbene RT-32

3.2. Work at the international congresses, conferences, symposiums without a scientific report

Nr. Title, time and plac of conferenceTOG Conference, Dwingelo, Netherlands, March 2006GAISH Anniversary Conference, Moscow, December 2006IAU General Assembly, Prague, August 2006

3.3. Work at the congress, conference, symposium in Latvia without a scientific report

Nr. Title, time an place of conferenceConference of the University of Latvia

4. Scientific publications in the issues approved by the LAS (during the past six years)Nr. Title of the issue, time and place of publishing Title of publication1 “Proceedings of the 5th EVN Symposium”, Eds.J.Conway,

A.Polatidis, R.Booth, Onsala Space Observatory, Chalmers Technical University, Gothenburg, Sweden, 2000. Edited by: J.E.Conway, A.G.Polatidis, R.S.Booth and Y.Pihlstrom, P.247-248, 2001

The first VLBI observations with Ventspils 32 m radio telescope under LFVN project

2 Proceedings of the 6th European VLBI Network Symposium, Ros, E., Porcas, R.W.Lobanov, A.P. & Zensus, J.A. (eds.), June 25-28, 2002, Bonn, Germany, p.-19, 20.

Goals and results of the ad-hoc VLBI activity with Russian antennas.

3 Astronomical and Astrophysical Transactions, 2003, V.22, N4/5, p.743-752

International Low Frequency VLBI Network (LFVN) Project Milestones

4 Proceedings of 7th European VLBI Network Symposium on VLBI Scientific Research & Technology, Toledo, Spain. October 12-15, 2004. Edited by Rafael Bachiller, Francisco Colomer, Jean-Fransois Desmurs, Pablo de Vicente. Observatirio Astronomico Nacional., p.329-330

First results of European VLBI radar observations of space objects

5 Proceedings of fifth US/Russian Space Surveillance Workshop. Central Astronomical Observatory at Pulkovo. September 24-27, 2003. Ed. by P.Kenneth Seidelmann. Spb.: VVM co. Ltd., 2003, p. 294-304

First results of the space debris radar observations using Evpatoria RT-70 transmitted and Low frequency VLBI network.

6 Proceedings of the Fourth European Conference on Space Debris, Darmstad, Germany, 18-20 April 2005 (ESA SR-587, August 2005), Editor: D.Danesy, ESA Publication Division, ESTEC, Postbus 229, 2200 AG Noordwijk, Netherlands, p.83-88

International radar space debris research

7 Proceedings of sixth US/Russian Space Surveillance Workshop. Central Astronomical Observatory at Pulkovo. August 22-26, 2005, VVM. Co. Ltd., 2005, p. 228-235

Pulkovo Cooperation for radar and optical observations of space objects.

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4. Work in expert commissions, editorial boards

Nr. Place and time of the work performance The main works carried out1. “Advisory editor” in magazine “Astronomy and astrophysics

Transactions”Correspondence on topical publication policy and magazine publishing questions

2. The Board of Latvian Astronomical Society Vice-chairman of the board3. The Board of Eurasian Astronomical Society Second vice-chairman of the

board4. The board of Latvian Union of Scientists Member of the board,

participation in meetings of the board

5. Reviews on scientific works

Nr. The author and the title of a scientific work The issue title of a scientific work (magazine, article collection of the conference and others)

1. Rajesh K. Mishra and Rekha Agarwal Mishra, “Anomalous behaviour of the amplitude and phase of the cosmic ray anisotropy”

Latvian Journal of Physics and Technical Sciences

6. Popularization of science (articles in issues of popular science, press and other media, lectures on popular science)

Nr. The title of the lecture or the article For article – title of the issue, for lecture – place and date

1. 11 articles on astronomy The Newspaper of Astronomy and Astrology, publishing house “Latvijas Avīze”

2. Datum on the Moon position in the sky from 1940-2008 Almanac of the Moon, publishing house “Vieda”

3. Were Americans on the Moon? Terra4. 6 lectures for pupils about astronomy ”The Easter of Sprīdītis” April

2006, Riga Latvian Society 5. The World forum for astronomers in Prague The Starry sky

The scientific contribution of Dr. math. Gaļina Hiļkeviča during past six years includes the following activities:

1. Participation in the conferences1.1. Participation in a scientific congresses of an international scale, conferencees, symposiums

with a scientific paper

Nr. Title, time an place of conference Title of paper Co-authors1. International conference “Past and Present

of Natural Sciences in Daugavpils University” February 1-3, Daugavpils, Latvia

“Mathematical Modeling in the Innovative Business Development”

S. Hiļkevičš

2. 11th International Conference Mathematical Modeling and Analysis” June 1-4, 2006, Jurmala, Latvia

“On some numerical solving methods of Pseudoparabolic Equations”

J. Hofmanis, A. Grantiņš

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1.2. Participation in a scientific congresses, conferences, symposiums of Latvia scale with a scientific paper

Nr. The title of a conference, time and place The title of a paper1. “6th Latvian Mathematical Conference”, April 7-8, 2006,

Liepaja“The numerical Solution of Pseudoparabolic Equations”

1.3. Work in a scientific congress of an international scale, conference, symposium without a paper

Nr. Title, time and place of conference1. Euro TICS 2006 European Computer Science Summit, October 16-17, 2006, Zurich, Switzerland

1.4. 1.4. Work in a scientific congress of Latvia scale, a conference, a symposium without a paper

Nr. Title, time and place of conference1. LITTA 8th annual conference “United in the Way to Information Society”, November 24, 2006,

Riga

2. Scientific publications in issues recognized by LZP (in the past six years)

Nr. Title of an issue, publication time, place The title of a publication1. Proceeding of the 10th International Conference Mathematical

Modeling and Analysis 2005, Trakai The Initial-Boundary Value Problem for some nonlinear Pseudoparabolic Equation.

3. Organizing of scientific conferences and seminars

Nr. The title of a conference, time and place The main works done1. 6th Latvian Mathematical Conference, April 7-8, 2006, Liepaja The member of committee on

programme and organizing

4. Reviews on scientific works

Nr. Author and title of work The issue title of scientific work (magazine, article collection of the conference and others)

1. Utkina, Ye. A., Maher, A. “On Explicit cases of the Solvability of a Fourth Order Pseudoparabolic Equations”

Indian National Science Academy “Indian Journal of Pure and Applied Mathematics” (IJPAM)

2. Utkina, Ye. A., Maher, A. “On Explicit cases of the Solvability of a Fourth Order Pseudoparabolic Equations”

Indian National Science Academy “Indian Journal of Pure and Applied Mathematics” (IJPAM)

3. Musa H. Ilyasov„Mixed Problems for a Class of Pseudoparabolic Equations”

Indian National Science Academy„Indian Journal of Pure and AppliedMathematics” (IJPAM)

Results of scientific research works of associate professors who are involved in

realization of VUC Master’s Degree Study Programme in Natural Sciences: Computer Sciences can be seen in biographies (curriculum vitae) that are added to the content and realization description of this study programme.

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5.2. Scientific research work of students

The scientific research work of students of VUC Master’s Degree Study Programme in Natural Sciences: Computer Sciences mostly takes place in first scientific institutions of VUC – Ventspils International Radio Astronomy Centre (VIRAC) and Engineering Research Centre (ERC). The results of student research works are traditionally announced on annual conferences on the VUC student research works and in several international forums on science. The best students have opportunity to receive a scholarship.

The current activity of VIRAC is mostly connected with interdisciplinary project of Latvian Council of Science (LCS) “Improvement of VIRAC research equipment and scientifically technical infrastructure to acquire long-term radio astronomic data and satellite information for Latvian and international programmes” (Prof. J. Ekmanis and Prof. Z. Sīka).

Within the framework of this interdisciplinary project, following subprojects are in progress:

Detection, analysis and processing of satellite image and satellite navigation signals (Dr. hab. phys. J. Žagars);

Preparation of VIRAC radio telescope RT – 32; Its preparation and drawing in international radio-interferometrycal and radio-astronomical researches (Dr. phys. I. Šmelds);

Observations of the sun in wave band of microwaves (jointly with LU, Dr. phys. B. Rjabov);

Research on the efficiency of electric drive control and adaption of RT-32 aerial control registration software into the European VLBI Network (jointly with PEI, Dr.habil.phys Z.Sika)

Besides, VIRAC is participating in execution of two integrated projects of EU 6 th

programme:

FP6 Integrating Activity # 505818 “Radio Net: Advanced Radio Astronomy in Europe” (Dr. hab. phys. J. Žagars);

FP6 Integrating Activity # 026642 “Express Production Real-Time e-VLBI Service” (Dr. sc. ing. V. Bezrukovs).

Six IT students of Master’s degree study programme have participated in scientific research work of Ventspils International Radio Astronomy Centre (VIRAC) working at following issues (as specialists in execution of scientific projects or working out their Master’s thesis):

1. D Bezrukov – Acquisition of the sun radiation map with radio telescope RT-32; processing of this map;

2. J. Gulbis – Systems for identification of digital images;3. A. Laganovska – Applications of long-range research methods for identifying forest fires;4. O. Skorobogača – Dimensional and radiometric calibration of satellite images;5. I. Vanaga – Foundation of the precise time service information system for radiotelescope RT-32;

6. K. Zālīte – Analysis of ice situation using satellite images;

A Student of IT Master’s Degree Study program, A. Laganovska, has given a report about her research work in two international conferences:NATO/CCMS scientific conference “Using space technologies in ecological researches”, Saint Petersburg, Russia (2006) and in Veliko Tirnova, Bulgaria (2005)Five students of IT Bachelor’s Degree Study programme are planning to continue their studies in the IT Master’s degree study programme, also do their research work in VIRAC.

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VUC Engineering Research Centre (ERC) consists of five departments: Department of CAM/CAD Design, Department of Mathematical Modelling, 2 Departments of Development of Telecommunication Products (I and II), and Department of Applied Electronics and Bluetooth. 10 students of VUC Master’s Degree study programme work in these departments. The themes of their Master’s thesis are related with the problems of ERC and are as follows:

1. A. Grantiņš – Numerical Solving Methods of Pseudoparabolic Equations;2. J. Gulbis – Automatic number plate recognition systems;3. J. Hofmanis – Processing of one-dimensional signals and identification of events they

involve;4. K. Kondratjevs – Development of the multi-service platform prototype;5. A. Kuzmins – Calculation of frequency and form of construction self-oscillation in

MatLab environment;;6. V. Dovgaļecs – Research and programming of surveyor controllers of mechanical

control systems;7. U. Pīrāgs – Modeling of diffusion in heterogeneous environment.

Students of Master’s degree study programme get also practical experience within the frameworks of ERC work, for example, using their theoretical knowledge to fulfill various ERC commission projects. Diversity and fluidity of orders broaden the mental outlook of students and deepens their erudition. The scientific environment (fundamental and applied science) of ERC helps to acquire theoretical and practical knowledge. Students of Master’s degree study programme also take part in conferences, seminars and exhibitions organized by ERC (“Baltic Industry 2005, 2006”).

The work of other students of Master’s degree study programme not being the employees of the ERC is also related to the work of ERC:

8. Balodis Armands – Modeling of fault accumulation in two-dimensional, continuous and discreet circumstances;

9. Krastiņš Mārtiņš – Controlled reactions of diffusion in two-dimensional environment with generation of particles;

10. Rēns Eduards – Modelling of the effective diffusion coefficient;11. Sēja Gaidis – The wise home informative system.

The students of Mater’s degree study programme can use modernized facilities, equipment and software of ERC to do scientific researches. Besides, within the framework of the ERC, they participate in several projects:

ESF Project “Modernizing of Ventspils University Bachelor Studies Program “Computer Sciences” (Total project cost 163859.83 LVL);

Realization of “Development of engineer training program for work with CAD design programs (IAP CAD)” (Total project cost 49658.00 LVL);

Project of the Ministry of Economy “Foundation of regional technology competence centre in Ventspils” (Total project cost 399 984.38 LVL).

J. Hofmanis and A. Grantiņš, who are the students of Master’s degree study Program, took a part in the 11th International Conference on Mathematic Modeling and Analysis, June 1-4, 2006, Jurmala, with a report “On some Numerical Solving Methods of Pseudoparabolic Equations” (G. Hiļķeviča, J. Hofmanis, A. Grantiņš).

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6. QUALITY ASSURANCE AND GUARANTEES

6.1. Development plan of the study programme

The Master’s degree study programme in computer science is a result of a lasting and dedicated work. During the last five years the IT department and faculty have worked out, licensed or accredited five different study programme versions for bachelor, masters and professional studies. Various programme versions were needed in order to comply to standard requirements, as well as to the state, regional and European priorities developing and changing all the time. The experience from other universities shows that the best quality can be reached if a continuous and unitary training system is made. The system should give high flexibility to students in their study planning and also ensure development possibilities till the highest levels. The IT faculty of Ventspils University College has worked out a scheme that gives possibility to reach the aim. The scheme of current and expected informational technology study programmes area is illustrated in the table on the next page.

As in the scheme it is correctly shown, the aim of the VUC ITF is merging academic and professional education in horizontal level and ensuring continuous development of qualification in vertical level. In second part of this year it is planned to start work for launching a new Doctoral study programme together with University of Latvia.

Future planning can be based on current achievements. In relation to this several activites may be mentioned:

1. A new study course in one of branches of natural sciences – computer science has been successfully launched in Ventspils University College. According to requirements of acting legal norms, a group of study programmes has been made, allowing studens to be prepared for labour market and at the same time leading the new computer specialists towards the direction of inter-disciplinary research work.

2. A system enabling the control of the quality of studies is created. 3. A co-operation with Latvian and foreign universities and institutions is being

implemented. All these contacts are used for improvement of study process.4. Students have access to qualitative study literature and Internet resources.5. Optical connection to Royal Institute of Technology in Sweden (KTH) gives new

possibilities for co-operation with European universities. 6. The technical equipment of VUC has reached a level that each student is provided with a

separate computer during practical classes. Accordingly, a strond interaction between the lecturer and students improves the speed and quality of knowledge acquisition. Students have a chance to take a part in real research projects both in Latvia and on international level.

7. Close co-operation with Ventspils City Council, Ventspils Digital Centre and Ventspils high Technology Park allows reacting to changes on regional labour market at the same time developing it. Already now there is a real demand for students of computer science programme.

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Ventspils University College IT and Computer Science Programmes

Academic study Professional study programmes programmes

x years

Master’s degree

5th quality level5th year

4th year

4th quality level

3rd year

2nd year

1st year

Academic body Professional branches

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To doctoral studies(Science, research)

Master’s degree study programme

in natural sciences: „Computer Science”

80 CP

Bachelor’s degree study programme

“Computer Science”

2nd level higher education study programme

„Information Technology”

40 CP

1st level higher education study programme

„Information Technology”

110 CP

Labour market

6.2. Specific objectives of the study programme

1. To improve Master’s degree study programme of IT.Ventspils International Radio Astronomy Centre has an important role for planning future

perspectives. The infrastructure of this centre can act as a good technical basis for future expansion of the space information technology branch in Ventspils University College. Contacting with German Space Agency (DLR) and European Space Operation Centre (ESOC) an interest of these organizations in promotion of information technology and signal processing in Ventspils University College was noted.

2. To develop specialisation in digital picture processing.In co-operation with Fraunhofer Institute for Industrial Mathematics (Fraunhofer ITWM)

and Nansi Technical University, improvement of digital picture processing course has been started. The SOCRATES academic cooperation contract with Nansi Technical University has been concluded and an exchange programme of academical staff has been launched.

3. To participate in the international projects together with Royal Institute of Technology in Sweden (KTH).

Nowadays information and telecommunication technologies are developing very rapidly. Experienced partners are necessary for successful development of these courses. Royal Institute of Technology in Sweden is one of those Ventspils University College can rely on in sphere of telecommunications. Co-operation with Ventspils High Technology Park and industrial partners mark this course as one of the very perspective ones to be further developed in Ventspils University College. Several projects have been prepared and submitted for financial support together with Royal Institute of Technology in Sweden.

4. To improve co-operation with Engineer Research Centre in sphere of Mathematic modelling.In order to successfully implement academic study programmes, especially in regions,

there is a necessity for establishment of research centres in specialisation directions of academic education. The activity of Ventspils University College taking part in several projects, as well as its international recognition has allowed establishing the Engineer Research Centre with Department of Mathematic modelling giving a serious input in quality of Master’s degree study programme of IT.

6.3. Main objectives for improvement of the Master’s degree study programme

1. To reach optimum arrangement of courses.With new approach to the study programme proposed in programme’s licensing

documents, balancing and planning study courses during years and semesters became much better. It is obvious that a further development of arrangement of courses is needed.

2. To expand the choice of electronic facilities of studying.The question of expanding the supply of electronic training materials is very topical.

Those would be useful for weaker students who have lack of knowledge in the level of Bachelor’s degree courses, as well as for students having advanced knowledge for proficiency improvement without a professor’s direct help.

3. To achieve optimum balance between theoretical and practical courses.

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All professors and especially the Council of study programme must seriously work on question about the right balance between courses to ensure both sufficient theoretical part and professional part to prepare students for real work in practical or applied research.

4. To examine development perspectives of study direction, topical questions, level of salaries, as well as other factors.

Since IT technology develop very fast, it is necessary to work out an optimal schedule and terms for regular improvement of professional skills of academic staff. A special salary system allowing hiring of IT field professionals has to be prepared.

5. To increase the amount of scientific work in the calculation of academic staff’s workload.The share of research work must be increased in the time budget of Ventspils University

College’s academic staff. More students have to be involved in the research work following that the themes of their research works are with scientific significance and meaning. The students work with different enthusiasms if they realize the significance of their work.

6. To work with popularisation of fundamental sciences.There is a need to educate students of university and high school on significance of

mathemtacs in informatics, space technologies and mathematical modelling.

7. To organise direct contacts with potential employers.Ventspils University College must co-operate with scientific institutes, innovative firms

and companies in order to improve the creation of innovative environment in the region. The increase of interaction between Ventspils University College and these institutions would foster development of both sides.

6.4 Job opportunities for graduates and development of academic staff

Since the Master’s degree study programme in Ventspils University College was started only in autumn 2005 at this moment no students have graduated jet. Consequently, it is too early to put forward any statements about job opportunities for graduates. However, it is a fact that students and further graduates of Ventpils University College are welcomed on labour market since the scientific institutes of VUC and companies are looking for IT specialists, and some of the current students are already working in their professions.

Employment of graduates in scientific establishments of VUC (VIRAC and ERC) is directly linked to academic staff development and renewal policy since these new employees form the basis for preparation and selection of new lecturers. The Doctoral Study Programme of Riga Technical University, which is created in the framework of a co-operation between VUC and RTU, serve for the same targets.

6.5. Possibilities to continue studies in a case of organizational changes

Ventspils University College has concluded the co-operation agreement with University of Latvia, Vidzeme University College and Liepaja Academy of Pedagogy about co-operation in the case of elimination or reorganization of the study programme. The corresponding agreements are attached in the appendix. These agreements provide that in case of radical changes our students can continue their studies in these institutions of higher education.

6.6 Assessment of expenses and the financial sources of the programmeThe financial sources of VUC (Ventspils University College) Master’s Degree Study Programme in Natural Sciences: Computer Science are:

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The financing of state budget in accordance with Article 51 Law on Higher Education of the Republic of Latvia;

Co-financing from Ventspils City Council; Study fee of students; Contributions and grants from physical and legal persons for improvment of study

programme and renwal of its technical equipment.The study fee is approved by the decision of VUC Senate on basis of estimated costs.The realisation expenses of the Master’s Degree Study Programme in Natural Sciences:

Computer Science study programme comply with 16.10.2001. Regulations No. 334 of the Cabinet of Ministers of the Republic of Latvia “Regulations on funding of higher educational institutions from the state budget”. The expenditure of additional funding granted by Ventspils City Council is planned according to the approved budget of Ventspils University College.

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7. SUMMARY

The Master’s Degree Study Programme in Natural Sciences: Computer Science has been successfully launched. A quality control system of studying work hs been created. It can be asserted that this VUC IT Master’s degree study programme conforms to all the standards of the corresponding programmes in Europe and Latvia. Highly qualified professors are involved in studying work with students. There is a continuous work on improvement of study process using the internal resources, international relationships and experience of other universities. Both classical and modern education methods are used for teaching. The management of teaching process is based on democratic standards. Students and personnel actively take part in research work. A regular work on improvement of study programme, as well as detection and elimination of its weak points is being implemented. The Council of the study programme is conscious of the fact that the development of an elaborated study programme is possible only if the number of highly qualified specialists is increased in structural units of Venspils University College. Active involvement of International Radio Astronomy Centre of Ventspils and Engineering Research Centre in realization of study programme gives good basis for qualitatively new ways of education. It is undeniable that improvement of the quality of the programme is a workintensive process. Nevertheless, Ventspils University College has all preconditions for successful realization and development of the Master’s Degree Study Programme in Natural Sciences: Computer Science. Its graduates must be able to successfully work in research space of both Latvia and Europe.

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APPENDIX Nr. 1. DESCRIPTION OF STUDY COURSES

APPENDIX Nr. 2. CV’S OF ACADEMIC STAFF

APPENDIX Nr. 3. LIST OF ACADEMIC STAFF

APPENDIX Nr. 4. AMOUNT OF WORK OF ACADEMIC STAFF

APPENDIX Nr. 5. AGREEMENTS BETWEEN VENTSPILS UNIVERSITY COLLEGE AND ViA, LU,

LPA AND 2 SOCRATES AGREEMENTS

APPENDIX Nr. 6. REGISTRATION CARD OF VENTSPILS UNIVERSITY COLLEGE

APPENDIX Nr. 7. LICENSE OF THE PROGRAMME

APPENDIX Nr. 8. STATEMENT ABOUT ACADEMIC STAFFS WORKPLACE

APPENDIX Nr. 9. STATEMENT ABOUT NUMBER OF STUDENTS PER ACADEMIC YEARS

APPENDIX Nr. 10. REFERENCES

APPENDIX Nr. 11. EXAMPLE OF DIPLOMA AND DIPLOMA SUPPLEMENT

APPENDIX Nr. 12. ADVERTISEMENT ABOUT STUDY PROGRAMME

APPENDIX Nr. 13. DECISION OF THE VENTSPILS UNIVERSITY COLLEGE SENATE ON

APPROVAL OF THE MASTERS DEGREE STUDY PROGRAMME IN NATURAL SCIENCES: COMPUTER SCIENCES

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Appendix Nr. 1.Description of study courses

38

CALCULUS OF VARIATIONS

Author Lead researcher, dr.hab.phys. Juris Roberts KalniņšCode of the courseCredit points of the course 2 credit points (ECTS 3 points)Form of examination ExamPre-conditions Course of Linear algebra and optimization methodsGroup of the course Theoretical compulsory course

Course purpose

The aim of the course is to give a treatment of the calculus of variations and its applications in engineering sciences, economy and other branches.

Annotation

The classical methods of the Calculus of Variations are considered. Different variation theory applications in mathematics, physics and control theory are considered. SCILAB (MATLAB) is used in the numerical solutions of the variational calculus problems.

Requirements for the acquisition of credit points

The assessment of the end-of-course examination is not below 4.

References

1. I. M. Gelfand, S. V. Fomin. Calculus of Variations, Dover Publications 2000.2. Charles Fox. An Introduction to the Calculus of Variations (Paperback), Dover

Publications, 1987.3. Robert Weinstock. Calculus of Variations. With Applications to Physics and

Engineering, Dover Publications, 1974.4. Donald R. Smith. Variational Methods in Optimization. Dover Publications, 1998.5. U.Raitums. Optimizācijas metodes. Lekciju kurss. Rīga. 2002.

ftp://ftp.liis.lv/macmat/matemat/optimiz/

39

ftp://ftp.liis.lv/macmat/matemat/optimiz/

The program

1. Introduction to variation theory. Variation theory problems. Brachistohrone and catenoide. Isoperimetric problem. Navigation problem. Geodesic problems. Basic lemmas. Functional differential. Necessary condition of existence of the extreme. Euler equation. Specials cases of integral function F. Parametrically defined function.

2. Generalizations. Higher order derivatives. Case of several functions. Problems with free endpoints, in the plane and space. Functional variation. Functional derivative. Conditional extreme problems. Second variation. Sufficient condition of the extreme.

3. Canonical form of Euler equations and variational principles. Canonical form. First integrals of the Euler equations. Canonical transformations. Systems with a finite number of degrees of freedom. Variational principles of mechanics. Canonical equation of mechanics. Principle of least action. Lagrange function. Conservation laws. Hamilton function. Hamilton – Jacobi equation. Fermat’s principle.

4. Variational problem involving partial derivatives. Variational derivation of the string vibration equation. Membrane vibration equation. Variational principle and Schrodinger equation.

5. Second variation and quadratic functional. Bilinear functional. Quadratic functional and second variation. Necessary condition for a quadratic functional minimum. Weak extreme sufficient conditions.

6. Variational theory of eigenvalues and eigenvectors. The reduction of boundary value problems to variational problems. Direct methods (Ritz method). Ritz method and solution of Sturm-Liouville problems. Trial function method. Least square method. Numerical solution of variational problems SCILAB (MATLAB).

7. Calculus of variations and optimal control.

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EQUATIONS OF MATHEMATICAL PHYSICS

Author Dr.math., doc. Galina HilkevichCode of the courseCredit points of the course 4 credit points (ECTS 6 points)Form of examination ExamPre-conditions Differential EquationsGroup of the course Theoretical compulsory course

Course purposeThe main purpose of the course is to teach students to main methods of partial differential

equations with application in Mathematical Physics, which makes the foundations of modern engineering science and many other applications, to demonstrate the use of methods for problem solving and mathematical modeling.

AnnotationAt the beginning of the course the classification of the partial differential equations is done

and main types of equations, which describe different physical processes, are received. Special attention is paid to correct and non-correct mathematical physics problems, methods of their solutions are observed.

Requirements for the acquisition of credit pointsThe assessment of the end-of-course examination is not below 4.

Literature

1. Laurie Kelly , Matthew P. Coleman. An Introduction to Partial Differential Equations with MATLAB, Chapman & Hall/CRC, 2004.

2. Alan Jeffrey. Applied Partial Differential Equations: An Introduction. Academic Press, 2002.

3. A. Buiķis. Matemātiskās fizikas vienādojumi, LIIS mācību materiāli, 2002.4. H. Kalis. Diferenciālvienādojumu tuvinātās risināšanas metodes, Rīga, 1986.5. E. Riekstiņš. Matemātiskās fizikas vienādojumi, Rīga, 1964.6. А. Н. Тихонов, А.А. Самарский. Уравнения математической физики, Москва,

1972.

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http://www.amazon.de/exec/obidos/search-handle-url/index=books-de-intl-us&field-author=Coleman%2C%20Matthew%20P./302-6634746-2287224



http://www.amazon.de/exec/obidos/search-handle-url/index=books-de-intl-us&field-author=Kelly%2C%20Laurie/302-6634746-2287224

The program

1. Classification of the Second Order Partial Differential Equations (PDE’s). Differential equations with two independent variables. Classification of equations with several independent variables.

2. Physical problems leading to PDE.

3. Equations of Hyperbolic Type. Wave Equations. Initial and Boundary Conditions. Cauchy Problem for string oscillations equation. D’Alambert’s formula. Physical interpretation. The Fourier Method for string oscillations equation solution (Method of separation of variables).

4. Equations of Parabolic Type. Heat Equation.. Initial and Boundary Conditions. The Fourier’s Method of Solving Initial-Boundary Value Problems (Separation of variables). Approximation Methods of Solving Initial-Boundary Value Problems. The Method of Finite Differences. Solving Initial-Boundary Value Problems for Heat Equation with Method of Finite Differences.

5. Equations of Elliptic Type. Laplace’s Equations. Posing of Boundary Value Problems (the Dirichlet Problem, the Second and Third Value Problems). The Fundamental Solution. Green’s formula. Integral representation of a solution. Some fundamental properties of harmonic functions. The maximum value principle. Uniqueness theorem. First boundary-value problem for a circle. Puisson’s integral. The Laplacian in Curvilinear Co-ordinates.

6. Special Functions. Cylindrical Bessel functions. Legendre polynomials. Harmonic polynomials and spherical functions. Chebyshev-Hermite polynomials and Chebyshev – Laguerre polynomials.

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FUNDAMENTALS OF GEOPHYSICS

Author Asoc.prof., dr.hab.phys. Juris ŽagarsCode of the courseCredit points of the course 3 credit points (ECTS 4.5 points)Form of examination ExamPre-conditions PhysicsGroup of the course Theoretical compulsory course

Course purpose

The objective of the course is to introduce the students with Fundamentals of Geophysics.

Annotation Course contains the most topics of so-called physics of “solid” Earth based on fundamental

ideas of plate tectonics, introduced by A. Wegener (methods of gravimetry and seismology, thermal and electric properties of the Earth, overview of basic processes of Earth’s interior, as well as geomagnetism and fundamentals of geodynamics).



Literature

1. William Lowrie. Fundamentals of Geophysics, Cambridge University Press, 1997.

2. Dubois J., Diament M., Geophysique, Paris, 2005.3. Магницкий В.А. Основы физики Земли, Москва, 1953.4. В.Н. Жарков. Внутреннее строение Земли и планет, Москва, Наука, 1983.5. W.M. Kaula. An Introduction to Planetary Physics, the Terrestrial Planets, John

Wiley & Sons Inc. 1968.6. Turcotte D.L., Schubert G., Geodynamics, 2nd edition, Cambridge University

Press, 2002.7. Н.П. Грушинский. Основы гравиметрии, Москва, Наука, 1983.8. John T. Houghton. The Physics of Atmospheres, Cambridge University Press,

1999.

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The program

1. Dynamic Earth. Solar system and types of planets. Common and different characteristics of Earth group planets. Geophysical processes in planetary interiors and on their surfaces. Continental plates, their structure and drift. Interaction of continental plates.

2. Form of the Earth and its field of gravity. Field of gravity and its potential, Stock’s theorem. Rotation of the Earth, force of gravity and accelerations of inertia. Form and size of the Earth. Absolute and relative gravimetric measurements. Gravity anomalies, their types and interpretation. Simulation of gravity anomalies. Tidal forces and their role.

3. Seismic methods and Earth’s inner structure. Fundamentals of the theory of elasticity. Seismic waves, their types and peculiarities of origin. Free oscillations of the Earth. Seismology of earthquakes and forecasting of earthquakes. Seismographs and principles of their construction. Inner structure of the Earth and its investigation with applications of seismic methods.

4. Thermal and electric properties of the Earth. Thermo dynamical fundamentals of geothermism. Distribution of temperature in Earth’s interiors and heat transfer. Electric properties of the Earth, methods of their investigation. Determination of Earth’s age and geochronology.

5. Geomagnetism and paleo magnetism. Magnetic field of the Earth, its origin. Magnetosphere, ionosphere and Van-Allen radiation belts. Geomagnetic measurements. Changes of Earth’s magnetic field. Magnetism of rocks and paleo magnetism. Magnetic fields of other planets.

6. Geodynamics. Theory of isostasy and its models. Isostatic anomalies of gravity. Reology, viscous flows and deformations. Rigidity of litosphere and viscosity of mantle. Convections in mantle and dynamics of continental plates.

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FUNDAMENTALS OF REMOTE SENSING

Author Asoc.prof., dr.hab.phys. Juris ŽagarsCode of the courseCredit points of the course 2 credit points (ECTS 3 points)Form of examination ExamPre-conditions PhysicsGroup of the course Theoretical compulsory course

Course purpose

The objective of the course is to introduce the students with modern methods of the Remote Sensing, it’s physical principles and mathematical solutions.

Annotation

The course deals with the physical principles and mathematical solutions of different Remote Sensing methods. The central topics of the course are interaction of electromagnetic radiation with matter and with the Earth’s atmosphere, description of electro-optical and microwave ranging and scattering systems as well as overview of platforms for Remote Sensing, basics of data processing and main fields of applications.



Literature

1. T.M. Lillesand, R.W. Kiefer. Remote Sensing and Image Interpretation, J.Wiley & Sons, Inc., New-York, 1994.

2. Paul M. Mather. Computer Processing of Remotely Sensed Images, J.Wiley & Sons, Inc. New-York, 1999.

3. W.G. Rees. Physical Principles of Remote Sensing, 2nd edition, Cambridge University Press, 2001.

4. Resources in Earth Observation – http://ceos.cnes.fr

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http://ceos.cnes.fr/

The program1. Basics of Remote Sensing (RS). History of RS and basic fields of applications. Ideal and real RS

system. Information and distortions in RS data. „Ground truth” and its importance in interpretation of RS data.

2. Electromagnetic radiation. Maxwell’s equations and pointing vector. Electromagnetic waves in homogeneous space. Absorption, dielectric permittivity and refractive index, relations between them. Dispersion, phase and group velocities of the waves. Modeling of refractive index of different medias.

3. Radiometry and thermodynamics. Energy flux and intensity of radiation. Irradiance, emittance and radiance. Absorption and emittion factors. Black body radiation, Planck and Kirchoff laws. Stefan – Boltzmann law.

4. Polarization and reflection. Types of polarization. Natural light and polarized light. Factor of polarization and Stocks vector. Types of reflection and Kirchoff laws. Polarization produced by reflection.

5. Scattering. Bidirectional reflectance distribution function. Directional albedo and diffuse albedo. Models and diagrams of scattering. Lambert’s scattering. Scattering of radars waves, bi static scattering coefficient and backscattering coefficient. The Rayleigh roughness criterion. Modeling of backscattering.

6. Propogation of radiation through media. Volume scattering. The radiative transfer equation. Modeling of absorption, Bears law. Vertical profiles of absorption, Cheapmeans law.

7. Earth’s atmosphere. Composition of atmosphere and selective absorption. Models of density and pression. Distribution of temperature in Earth’s atmosphere. Troposphere, stratosphere, mesosphere and thermosphere. Principal selective absorbers and their characteristics. The ionosphere and its interaction with microwave radiation, the plasma frequency.

8. Interaction of radiation with the Earth’s atmosphere. Thermodynamic balance of radiation. Aerosols and their interaction with Solar radiation. Larger particles: fog, cloud, rain and snow. Scattering of Solar light in atmosphere. Mie and Rayleigh scattering. Use of absorption lines in Remote Sensing.

9. Multispectral systems of RS. Multispectral scanners (MSS), their construction and principles of work. Spatial resolution, its optimization. Spectral resolution, hyper spectral sensors. Prisms and diffraction grating. Radiometric corrections of atmosphere. Interpretation of MSS data, spectral signatures. Photographic method.

10. Microwave systems. Active and passive RS methods (radars and lidars), standard bands of microwave (MW) radiation. The radar equation. MW scaterometry and its applications. Real aperture imaging radars (SLAR) and their distortions. Satellite altimetry and MW radiometry.

11. Synthetic aperture radars (SAR). Basics of SAR radars and distortions of SAR images. Conditions of signals coherence. Speckle. Distortions of mowing objects. Limitations imposed by ambiguity. SAR interferometry. Major applications of radar imaging.

12. Coverage and resolution of data. Imaging optical systems, their resolution (resels and MTF function). Effects of scale. Spectral resolution. Spatial resolution. Radio metrical resolution. Temporal resolution.

13. Platforms and sensor systems. Aircrafts, their basic properties for RS applications. Satellites and their orbits. Geostationary orbits. Geosynchronous orbits. Molnya type orbits. LEO and Sun-synchronous orbits. Exactly repeating orbits. Other specific satellite orbits. Orbital manoeuvres and orbital lifetimes. Piloted space platforms. Unpiloted space platforms, their classification.

14. Interpretation and applications of RS data. Basics of data interpretation. Analyze of agricultural activities from RS data. Modeling and monitoring of surface temperature and water resources. Forest mapping and managing. Monitoring of ocean and sea pollution. Monitoring of ecosystems. Archaeological applications. Monitoring of natural disasters. Mapping of geological structures and RS applications in physics of planets. Digital elevation models (DEM). Applications of RS in cartography and in regional planning.

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NUMERICAL METHODS OF ALGEBRA

Author Lead researcher, dr.hab.phys. Juris Roberts Kalniņš,Asoc.prof., dr.hab.phys. Juris Žagars

Code of the courseCredit points of the course 2 credit points (ECTS 3 points)Form of examination ExamPre-conditions Course of Linear algebra and analytic geometryGroup of the course Theoretical compulsory course

Course purpose

The objective of this course is to introduce students to numerical methods of algebra, used in natural science, economical and social problem analysis.

Annotation

The main content of the course are numerical methods of linear algebra. The numerical solutions of eigenvalue problems also are considered.



Literature

1. J. Douglas Faires, R.L. Burden, Numerical Methods, PWS- Publishing Company, Boston, 1993.

2. Н.Н. Калиткин. Численные методы, Москва, 1978.3. R.W. Hamming. Numerical Methods for Scientists and Engineers, Mc. Graw Hill

Book Co.Inc. 1962.4. G.M. Jenkins, D.G. Watts. Spectral Analysis and its applications, Holden-Day Co.

1969.5. William H. Press, Brian P. Flannery, Saul A. Teukolsky, William T. Vetterling.

Numerical Recipes in C++: The Art of Scientific Computing. Cambridge University Press; 3 editions, 2002.

6. H. Kalis. Skaitliskās metodes (ar datorprogrammu MAPLE, MATHEMATICA lietošanu). Rīga. 2001.

7. Lloyd N. Trefethen, David Bau. III.Numerical Linear Algebra. SIAM: Society for Industrial and Applied Mathematics, 1997.

8. А.А. Самарский. Введение в численные методы, 1987.9. Gene H. Golub, Charles F. Van Loan. Matrix Computations (Johns Hopkins Studies

in Mathematical Sciences). The Johns Hopkins University Press, 1996.10. ftp://ftp.liis.lv/macmat/matemat/skaitmet/skmet01.zip

47

ftp://ftp.liis.lv/macmat/matemat/skaitmet/skmet01.zip

The program

1. Direct Solution Methods for Linear Algebraic Systems of Equations. Gauss method. Elementary elimination matrix. LU factorization. QR and SV factorization. Cholesky decomposition. LDM and LDL decomposition. Block matrix and band matrix. Matrix inversion. Decomposition of singular value.

2. Iterative methods. Spectral radius, matrix norm and condition number. Powers of a Matrix and Inverse Matrix. Jacobi's and Gauss - Seidel Method. Acceleration of the Convergence of an Iterative Process. Fadejev method. Full relaxation method. Iterative process convergence. Stability. Error estimation.

3. Eigenvalue and eigenvector problem. Eigenvalue estimation. Similarity transformations. Characteristic polynomial. Power iterations. Inverse iterations. Danilevsky method. Krilov method. Leverje – Fadejev metod. Gradient method. LR algorithm.

4. Solution of nonlinear problems. Examples of nonlinearity. Problem linearization. Nuton method generalization.

5. Applications. Electrical circuits. Economical problems. System dynamics problems. Iterative Methods in Image Reconstruction.

48

NUMERICAL METHODS OF ANALYSIS

Author Lead researcher, dr.hab.phys. Juris Roberts KalniņšCode of the courseCredit points of the course 2 credit points (ECTS 3 points)Form of examination ExamPre-conditions Courses of Differential equations and mathematical

PhysicsGroup of the course Theoretical compulsory course

Course purpose

To deepen students knowledge of numerical methods for mathematics

Annotation

Additional sections of numerical methods are considered. Special attention is devoted to the numerical solution methods for differential and integral equations.



Literature

1. H. Kalis. Skaitliskās metodes (ar datorprogrammu MAPLE, MATHEMATICA lietošanu). Rīga. 2001. sk ftp://ftp.liis.lv/macmat/matemat/skaitmet/skmet01.zip

2. K. Eriksson, D. Estep, P. Hansbo, C. Johnson. Computational Differential Equations. Studentliteratur, 2005.

3. A. Tveito, R. Winther. Introduction to Partial Differential Equations: A Computational Approach (Texts in Applied Mathematics). Springer, 2004.

4. William H. Press, Brian P. Flannery, Saul A. Teukolsky, William T. Vetterling. Numerical Recipes in C++: The Art of Scientific Computing. Cambridge University Press; 3 editions, 2002.

5. Б.А. Власова, B.C. Зарубин, Г.Н. Кувыркин. Приближенные методы математической физики: Учеб. для вузов. М.: Изд-во МГТУ им. Н.Э. Баумана, 2001.

6. Е.В. Ворожцов. Сборник задач по теории разностных схем (учебное пособие). Новосибирск: НГТУ, 2000.

7. А.А. Самарский. Введение в численные методы, 1987.8. Н.Н. Калиткин. Численные методы, 1978.9. R.W. Hamming, Numerical Methods for Scientists and Engineers, Dower

Publications, 1987.10. Steven C. Chapra, Raymond Canale, Numerical Methods for Engineers: With

Software and Programming Applications, McGraw-Hill Science/Engineering/Math; 2001.

11. John H. Mathews, Kurtis K. Fink, Kurtis Fink, Numerical Methods Using Matlab, Prentice Hall; 2003.

12. J. Douglas Faires, R.L. Burden, Numerical Methods, PWS-Publishing Company, Boston, 1993.

49

ftp://ftp.liis.lv/macmat/matemat/skaitmet/skmet01.zip

The program

1. Boundary Value Problems (BVP) for Ordinary Differential Equations. BVP conception. BVP reduction to Cauchy problem. Shooting method. Shooting method realization on SCILAB (MATLAB). The finite element method for the BVP. Second-order differential equation implicit schemes for BVP. Stability. Nonlinear equations. Galerkin’s method.

2. Eigenvalue and Eigenfunction Problems. Eigenvalue problem and shooting method. Phase method. Finite element method. Galerkin’s method. BVP Eigenvalue problem solution on FreeFem++, SCILAB (MATLAB). Examples.

3. Partial Differential Equation (PDE) Numerical Solution. Definition of the problem. One – dimensional numerical solution example. Mesh and grids. Difference schemes construction methods. Difference schemes for the Dirichlet problem. Numerical solution of parabolic PDE. Solution of hyperbolic PDE. FreeFem++, SCILAB (MATLAB) in the numerical solving of PDE.

4. Numerical Solution of Integral Equations. Integral equations. Types of integral equations. Relation between differential and integral equations. Green function. Iteration method. Method of finite sums. Galerkins’s method. Collocation method. Least squares method. Momentum method. Advanced introduction to applications and theory of numerical methods for solution of partial differential equations, especially of physically-arising partial differential equations, with emphasis on the fundamental ideas underlying various methods. Discretization methods, including finite difference & finite-volume schemes.

50

OPTIMIZATION METHODS

Author Prof., dr.math. Jānis VucānsCode of the courseCredit points of the course 2 credit points (ECTS 3 points)Form of examination ExamPre-conditions Proficiency in programming (any programming language)

and course – calculus of VariationsGroup of the course Theoretical compulsory course

Course purposeThe objective of the study course is to acquire the concepts and basic principles of

optimization theory, the most popular numerical methods of optimization, as well as to learn how to apply them in solution of practical problems.

Annotation

This is a practically orientated study course in numerical optimization. The content of the course have a little changes from year to year, depending on the interests of students. Every second week one lecture on the theory and one on laboratory works take place. In the last ones students have to solve (mainly by using computers with appropriate software) individual, as possible – practically orientated optimization problems, which correspond to the theoretical background explained during the lectures on optimization theory.

Requirements for the acquisition of credit pointsAcquiring the study course, students have to solve, by using computers, different type

optimization problems. Every student, to obtain successful assessment, must solve and defend the individual package of exercises, consisting of 8 laboratory works.

References

1. Р. Габасов, Ф.М. Кириллова. Методы оптимизации. Издательство БГУ, Минск, 1975.

2. Н.Н. Моисеев, Ю.П. Иванилов, Е.М. Столярова. Методы оптимизации. Наука, 1978.

3. В.М. Алексеев. Сборник задач по оптимизации. Наука, 1984.4. И.М. Гельфанд, С.В. Фомин. Вариационное исчисление. ИФМЛ, 1961.5. Л.С.Понтрягин. Математическая теория оптимальных процессов. Наука, М., 1978.6. D. Kļaviņš. Optimizācijas metodes ekonomikā I, II. Rīga: “Datorzinību centrs”, 2003.7. U. Raitums. Optimizācijas metodes. – Rīga: "Mācību grāmata", 2002.8. F. Sadirbajevs. Ievads optimizacijā. - Daugavpils: DU izdevniecība "Saule”, 2003.9. A. Cibulis. Ekstrēmu uzdevumi 1. daļa. Rīga, LU, 2003.10. D.P. Bertsekas. Dynamic Programming and Optimal Control: Vol. 1 and 2; 2nd edition,

2002.11. G. M. Siouris. An Engineering Approach to Optimal Control and Estimation Theory.

John Wiley & Sons, Inc., 2003.12. R. Fletcher, Practical Methods of Optimization, John Wiley & Sons, 2000.13. Jorge Nocedal, Stephen J. Wright, Numerical Optimization, 1999.

51

The program

1. Classification of methods. Active and passive search. Minimax principle. Probabilistic and deterministic minimization algorithms.

2. Numerical minimization methods of function of single variable (numerical methods for minimization of unimodal functions – dichotomy, golden cutting and Fibonachi methods, methods for minimization of smooth functions – tangent method, Newton method, methods for minimization of non-smooth functions – method of breached lines).

3. Solving of different types of linear planning problems by using appropriate software; diet, problem, production problem, transport and transport-type problems.

4. Elements of game theory. Zero sum matrix games. Elements of duality theory. Numerical solving of corresponding optimization problems.

5. Numerical and analytical minimization methods in non-conditional and conditional optimization problems for functions of several variables. Method of exclusion. Lagrange multipliers method. Application of different types of gradient method and gradient projection method in solving of practical problems. Geometrical method of solution of optimization problems.

6. Use of Dynamic Planning principle in solution of optimization problems.

7. Solving of applied optimization problems in management of economy and finances.

52

SELECTED TOPICS OF MATHEMATICS

Author Lead researcher, dr.hab.phys. Juris Roberts Kalniņš,Docent, dr.math. Galina Hilkevich

Code of the courseCredit points of the course 4 credit points (ECTS 6 points)Form of examination ExamPre-conditions Mathematical analysis, Equations of Mathematical PhysicsGroup of the course Theoretical compulsory course

Course purpose

The main task of the course is to give the introduction into modern methods of mathematics, which are important for practical applications, but were not covered in appropriate way in the bachelor program.

AnnotationAt the beginning of the course the introduction into functional analysis is done. After that

the theories of analytical functions and integral equations are considered. For problems analytic and numeric solutions packages SCILAB and MAXIMA are used.


Literature

1. Carrier G. F., Krook M., Pearson C. E. Functions of a Complex Variable: Theory and Technique. Hod Books, 1983.

2. Cīrulis T. Funkcionālanalīze, Rīga, 2002.3. Šteiners K. Augstākā matemātika. Lekciju konspekts inženierzinātņu un dabaszinātņu

studentiem. 6. daļa. Zvaigzne ABC, 2000.4. Tricomi F.G. Integral Equations. Dover Pubns, 1985.5. Vaivode A., Funkcionālanalīzes elementi, Rīga, 1987.6. Манжиров А.В., Полянин А.Д. Справочник по интегральным уравнениям: Методы

решения. М.: Факториал, 2000.7. Petri Ola. Lectures on Linear Integral Equations. 2006.

www.rni.helsinki.fi/~spv/iyht2006/ie06.pdf8. Integral equations http://en.wikipedia.org/wiki/Integral_equation9. Cīrule D., Cīrulis T. Kompleksā mainīgā funkciju teorija. 1. un 2. daļa.

ftp://ftp.liis.lv/macmat/matemat/kompl_sk/

53

ftp://ftp.liis.lv/macmat/matemat/kompl_sk/

http://en.wikipedia.org/wiki/Integral_equation

http://www.rni.helsinki.fi/~spv/iyht2006/ie06.pdf

The program

1. Metrics Spaces. The definition of the metrics space. Open and closed sets in the metric space. Inner and outer points of sets, boundary points. The convergence of sequence in the metric space. Fundamental sequence. Complete metrics spaces.

2. Linear Spaces. Linear Spaces definition. Norms and Inner Products. Normed Linear Spaces. Banach Spaces. Hilbert spaces. Lebeg’s space L2[a;b]. Soboļev’ s spaces H 1 [a;b], H0 1

[a;b].

3. Topological Spaces.

4. Operators. Operator’s definition. Linear Operators and Distributions. The Hahn-Banach Theorem. The Dual Space. Weak and weak convergence. Riss theorem’s applications (theorem of existence and uniqueness of weak solution for Equations of Elliptic Type).

5. Analytic Function Theory. Functions of a complex variable. Derivative and analyticity. Cauchy-Riemann conditions. Geometrical interpretation of derivative. Conformal mappings. Mappings of the elementary functions. Integration in complex plain. Line integrals. Cauchy’s theorem. Cauchy formulas. Laurent series. Analytical continuation. Singular points and zeros. Residue calculus. Cauchy’s residue theorem. Evaluation of real integrals. SCILAB (MATLAB) and MAXIMA in calculations.

6. Applications of Analytic Function Theory. Integral operators. Laplace Transform. Transforms of elementary functions. Heviside and delta function. Inverse transforms. Solution of ordinary differential equations. Electrical circuits. Solution of Partial Differential Equations. Solution of integral equations.

7. Integral Equations. Volterra first and second kind integral equations. Fredholm first and second kind Integral equations. Singular integral equations. Connection between differential and integral equations. Green function. Numerical solution of integral equations.

54

SPATIAL STATISTICS

Author Researcher, dr.phys. Juris Freimanis,Asoc.prof., dr.math. Aivars Zemītis

Code of the courseCredit points of the course 3 credit points (ECTS 4.5 points)Form of examination ExamPre-conditions Course of Probability theory and mathematical statisticsGroup of the course Theoretical compulsory course

Course purpose

The goal of this course is to get acquainted with the fundamentals of spatial statistics. The methods of this discipline are required for high-level processing of spatial information obtained from artificial Earth satellite images as well as from other sources, in order to make correct conclusions about spatial features and processes under investigation.

Annotation

This course includes: basic concepts of spatial statistics; standard statistical tests for spatial data; fundamentals of random field theory; fundamentals of theory of point processes; modeling of random fields; spatial prediction (kriging); theory of spatial regression models. The largest attention is paid to geostatistical data, a separate part of course program is devoted to point processes, but fundamentals of regional (lattice) data theory are reviewed as well during the discussion of the corresponding topics.


The student must successfully pass the exam.

Literature

1. O. Schabenberger, C.A. Gotway. Statistical Methods for Spatial Data Analysis. Chapman & Hall/CRC Press, Boca Raton (Florida, U.S.A.) et al., 2005.

2. R. Haining. Spatial Data Analysis. Theory and Practice. Cambridge University Press, Cambridge, U.K., 2005.

3. N.A.C. Cressie. Statistics for Spatial Data. Revised edition, John Wiley & Sons, New York, U.S.A., 1993.

4. A.D. Cliff, J.K. Ord. Spatial Processes; Models and Applications. Pion Limited, London, U.K., 1981.

5. J.P. Chilès, P. Delfiner. Geostatistics. Modeling Spatial Uncertainty. John Wiley & Sons, New York, U.S.A., 1999.

6. S. Banerjee, B.P. Carlin, A.E. Gelfand. Hierarchical Modeling and Analysis for Spatial Data. Chapman & Hall/CRC Press, Boca Raton, Florida, U.S.A., 2003.

7. P. Congdon. Bayesian Statistical Modelling. John Wiley & Sons, Chichester, 2001.8. P. Congdon. Applied Bayesian Modelling. John Wiley & Sons, Chichester, 2003.9. Brian D. Ripley, Spatial Statistics, Wiley Interscience, 2004. 10. John Stillwell, Graham Clarke, Applied GIS and Spatial Analysis, John Wiley & Sons, 2003.11. Andy Mitshell. The ESRI Guide to GIS Analysis: Volume 1, Geographic Patterns &

Relationships, Esri Press, 1999.12. Andy Mitshell. The ESRI Guide to GIS Analysis: Volume 2: Spatial Measurements and

Statistics, Esri Press, 2005.

55


The program1. The basic concepts. Spatial statistics as a discipline. Basic types of data in spatial statistics. Types of spatial

coordinates and distances. Neighborhood measures for regional data. Spatial covariance function and correlogram. Variogram and semivariogram. Sill and practical range of semivariogram. The nugget effect.

2. Standard statistical tests. Mantel’s tests. Black-Black and Black-White statistics. Moran and Geary statistics. Localized indicators of spatial autocorrelation.

3. Theory of random fields. Stochastic processes and random fields. Statistic samples of size one. Strong stationary, weak stationary and intrinsic stationary stochastic processes. The basic properties of covariance function in second order stationary random field. The basic properties of semivariogram in intrinsic stationary random field. Gaussian random fields. Mean square spatial continuity and differentiability of random fields. The direct spatial representation of random fields. Large-scale trend, smooth-scale and micro-scale variation, signal, noise. The convolution representation of random fields. Lemma on the expectation and dispersion of convolution for weak stationary random field. Border effects. The basic ideas of the spectral analysis of stochastic processes. Spectral density function, its basic properties and relation with covariance function. Continuous and discrete spectra, Bochner’s theorem. The spectral representation of regular lattice data. The importance of spectral analysis. Linear location-invariant filters.

4. Point processes. Point patterns and their basic kinds. Completely random point patterns and their basic alternatives. Poisson point process. The first order intensity of point process. Binomial point process. Homogeneous point processes. The inhomogeneous Poisson process. The basic principles for testing the complete randomness of point pattern. Chi-square goodness-of-fit test. The second order intensity of point process. Stationary and isotropic point processes. The covariance density function. K- and L- functions of point process. Superpositioning and thinning of point processes. The basic concepts for modeling of Cox process, Poisson cluster process and regularized processes.

5. The modeling of random fields. Spectral models for covariance function and semivariogram. Basis functions in the space Rd. The Matérn class of covariance functions. The spherical family of covariance functions. Nested models of covariance function and semivariogram, models with nugget effect. Anisotropic models of covariance function and semivariogram. The empirical semivariogram cloud. Estimation of the semivariogram from observational data accordingly to Matheron and Cressie – Hawkins. Border effects. Estimation of parameters of the theoretical covariance model with least squares method if the mean value of the random field is constant. Estimation of statistical parameters of the theoretical model of random field with maximum and restricted maximum likelihood methods if the mean value of the random field is constant. Generalized estimating equations for the statistical parameters. Composite likelihood method. Modeling of spectrally represented covariance functions and semivariograms in the physical space. The moving-average method for the modeling of semivariogram. Modeling of the nugget effect. Modeling the covariance function in frequency space for geostatistical data. Periodogram for regional data. Global and local trend surface models. Nonuniqueness of the mean value. Estimation of the covariance parameters with least squares method, maximum likelihood and restricted maximum likelihood methods for the theoretical model of linear regression.

6. The spatial prediction (kriging). The essence and basic ideas of kriging. The best predictor under squared-error loss, its mean-squared prediction error. Unbiased predictors. Linear predictors. Kriging in Gaussian random field. Simple kriging, ordinary kriging, universal kriging. Local and global kriging. Data filtering and smoothing with kriging methods. Trans-Gaussian and lognormal kriging. The basic principles of disjunctive kriging. The influence of estimating the covariance parameters on the results of kriging.

7. The theory of spatial regression models. Linear models of spatial regression with uncorrelated errors. The statistical properties of the estimators of regression coefficients and residuals. Studentized residuals and recursive residuals. Linear models of spatial regression with correlated errors. The statistical properties of the estimators of regression coefficients and residuals. Linear mixed models. Henderson’s equations. Linear statistical hypothesis testing in linear regression models with uncorrelated and correlated errors. The basic principles of construction of generalized linear models. Marginally specified generalized linear models. Generalized linear mixed models. Estimation of parameters of marginally specified generalized linear model by means of generalized estimating equations. Pseudo-likelihood estimation of the parameters of generalized linear model.

56

THE GENERAL ASTRONOMY

Author Asoc.prof., dr.hab.phys. Juris Žagars,Lead researcher, dr.paed. Ilgonis Vilks

Code of the courseCredit points of the course 3 credit points (ECTS 4.5 points)Form of examination ExamPre-conditions NoGroup of the course Theoretical compulsory course

Course purposeThe aim of the course is to give the students contemporary understanding of rules

governing in macro world, help them to acquire mathematical methods used in astronomy and space investigation.

AnnotationMain attention is paid to fundamental astronomical notions, qualitative explanation of

characteristics of space objects, processes taking place in the Solar system and in the universe and simulation of astronomical phenomena.

Requirements for the acquisition of credit pointsThe mark in the exam must be not lower than 4.

Literature1. J. Žagars, I. Vilks. Astronomija augstskolām, Rīga, LU akadēmiskais apgāds, 2005.2. I. Vilks. Zvaigžņotās debess ceļvedis, Rīga, Mācību grāmata, 1996.3. Э.В. Кононович, В.И. Мороз, Общий курсс астрономии, Москва, УРСС, 2004.4. M. Dagajevs, V. Djomins, I. Klimišins, V. Čarugins. Astronomija (krievu val.).

Maskava, Prosveščenije, 1983.5. E. Chaisson, S. McMillan. Astronomy Today, Prentice Hall Englewood Cliffs, NJ

07632, 1993.6. P. Bakuļins,E. Kononovičs, V. Morozs. Vispārīgās astronomijas kurss (krievu val.).

Maskava, Nauka, 1983.

57

The Program1. Coordinate systems. Notion of reference systems and coordinate systems, their types. Coordinate systems

used on the Earth and coordinate systems used on the celestial sphere. A connection between right-angle coordinates their transformations. Connections between spherical coordinates, their transformations. Paralactic formulae and methods of measuring meridional coordinates of space objects.

2. Spherical astronomy. Spherical geometry, its basics and main theorems. Spherical triangles, their general properties. Polar connected triangles. Basic notions of spherical astronomy. Celestial sphere. Projection of horizontal and equatorial coordinate systems on the celestial sphere. Rotation of the celestial sphere and apparent motion of space objects on it. Basic notions of spherical trigonometry and paralactic triangle. Main theorems of spherical trigonometry (theorem of sinuses, theorem of cosines, theorem of five elements) and methods of deriving formulae from them.

3. Planets of the Solar system. Origin of the Solar system, its evolution and structure. Terrestrial group planets (Mercury, Venus, Earth, Mars) and giant gaseous planets (Jupiter, Saturn, Uranus and Neptune), their physical properties, structure, orbits and satellites. Satellite systems of giant planets and their rings. Pluto and Charon.

4. Rotation movement of planets. Dynamics of free rotation of planets. Motion of poles of planets. Proper rotation of the Earth and its connection with time scales UT, ET, AT and UTC. Rotation of planets as transformation of coordinates. Precession and nutation.

5. Form of planets and physical fields around them. Potential of gravity and gravity fields of planets. Force of gravitation and geoid. Expansions of gravity potentials of planets in spherical functions. Zonal, sectorial and tesseral harmonics. Form of planets, its connection with gravity field and dependance on rotation. Reference ellipsoid and types of altitude. Magnetic fields of planets and magnetospheres. Radiation belts.

6. Orbital motion of planets. Mathematical models of orbital motion of planets. Orbital plane and 2nd Kepler law. Equations of planetary motion and their solutions. 1st Kepler law. Analyses of forms of orbits and motion of planets along orbits. 3rd Kepler law, its applications. Ticius-Bode law and elements of planetary orbits.

7. Calculation of coordinates of planets. Equation of planetary orbits and its integration. Proof of the 1 st

Kepler law. Methods of solution of the equations. Connection with 3rd Kepler law and its precision. Orbital coordinates system, its connection with other astronomical coordinate systems. Sequence for calculating coordinates of planets.

8. Astronomical observations. Determination of distances to space objects (annual parallax and diurnal parallax). Determination of astronomical unit (Solar system scale). Relative method for determination of coordinates of space objects (Terner’s method). Method of radio interferometry (VLBI). Satelliet laser ranging (SLR) and GPS. International celestial reference frame (ICRF) and international Earth reference frame (IERF). Hipparcos catalogue. Factors influencing astronomical observations. Stellar catalogues, historical overview and up-to-date forms.

9. Methods and equipment of astrophysics. Spectrum of electromagnetic radiation. Transparency of atmosphere of the Earth. Optical telescopes, their types and mountings. Resolution power. Radiation detectors. Active and adaptive optics. Radio telescopes. X ray and ray telescopes. Orbital observatories.

10. The Sun. Main characteristics of the Sun. Inner structure of the Sun. Solar and stellar sources of energy and energy transfer. Processes in the atmosphere of the Sun. Activity cycles of the Sun. Connection of solar activity with geophysical processes and biosphere of the Earth.

11. Stars. Apparent and absolute brightness of stars. Absolute magnitude of stars. Stellar spectra and spectral classification. Temperature of stars and their chemical composition. Hertzsprung-Russel diagram. Determination of radii of stars. Stellar motion. Proper motion, radial velocity. Motion of the Sun towards apex. Visual, spectral and eclipse variable stars. Determination of mass of binary stars. Pulsating variable stars. Connection between period and luminosity. Eruptive variable stars. Novae. Stellar evolution. Proto stars, stars of the main sequence, red giant stage. White dwarfs, supernovae, neutron stars, pulsars, black holes.

12. Galaxy. Structure of the Galaxy, spiral branches. Rotation of the Galaxy. Star clusters, diffuse, planetary and supernovae remnant nebulae. Interstellar medium, cosmic radiation.

13. Extra-galactic astronomy. Classification of galaxies. Elliptical, spiral and irregular galaxies. Determination of distances to galaxies. Red shift. Hubble law. Active galaxies. Quasars. Large-scale structure of the universe. Non-stationary models of the universe. Relict radiation.

58

COMPUTER GRAPHICS

Author Mag.sc.ing. Vladislavs Bezrukovs,Asoc.prof., dr.math. Aivars Zemītis

Code of the courseCredit points of the course 4 credit points (ECTS 6 points)Form of examination ExamPre-conditions Course of Linear algebra and analytic geometry,

programmingGroup of the course Course of actual problems

Course purpose

Course purpose to introduce students with computer graphics fundamental methods, and show how base algorithms works.

Annotation

Course discusses flat (2D) and three dimensional (3D) computer graphics principles and base algorithms. Students will be introduced with geometric objects imaging principles, with colouring and texturing operations, with different lightening models and how to use these methods. Course discuses how to use OpenGL graphical libraries together with C++ language.



Literature

1. D. Hearn, M. Pailine Baker. Computer Graphics with OpenGL, Prentice Hall, 2003.2. Т.А. Блинова, В.Н. Пореев. Компьютерная графика. Юниор. 2005. ISBN 966-7323-

48-X3. Т. Девис, Дж. Нейдер, Д. Шрайнер. OpenGL. Руководство по программированию.

Библиотека программиста. 4 издание. – СПб: Питер, 2006. ISBN 5-94723-827-64. М.Н. Петров, В.П. Молочнов; Компьютерная графика. 2-е издание, учебник для

втузов. Москва, 2004. ISBN 5-94723-758-X5. M. Giambruno, 3D Graphics & Animation, New Riders Press, 2002.6. P. Shirley, Fundamentals of Computer Graphics, AK Peters, Ltd., 2002.

59

The program

1. Colours. Physics and psychophysics of colours. Light. Light spectrum. Eye structure. Colours perception. Colours models: RGB, CMYK, HSV, HSI, HSL, Lab. Colours definition. Colours dividing. Colours harmonization.

2. Raster graphics and vector graphics. Raster image. Graphical primitive. Line drawing algorithms: direct coordinate calculations, Brezenhem`s algorithm. Circle and ellipses line drawing Brezenhem algorithms. Spline drawing. Interpolated and approximated line drawing algorithms. Bezier lines.

3. Coordinate systems. Cartesian coordinates. Right handed and left handed coordinate system. Coordinate transformations, affine transformations: parallel coordinates shift, coordinates scaling, coordinates rotating, 3D affine transformations, 3D coordinates shift, scaling, rotating. Affine object transformations 2D and 3D.

4. Projections. Projections types: parallel projections, orthogonal projections. World coordinates. Image Coordinates. Projecting planes. Angles of view. Imaging to screen. Scene arrangement.

5. Figures drawing and filling. Concepts of figure. Filling algorithms based on internal point. Filling algorithms base on lines. Filling algorithms base on mathematical contour description. Rectangle filling. Circle filling. Polygon filling. Line style and pens. Thick line drawing algorithm. Dotted line drawing algorithm.

6. Figures filling styles. Full filling: using brushes, using textures. Textures. Textures orthogonal and parallel projection. Textures distortions. MIP mapping. Bilinear filtering. Thrilinear filtering. Anisotropic filtering. Block texturing. Texture as lighting map. Texture as transparency map. Bump mapping. Multi texturing.

7. Fractal drawing algorithms. Mandelbrot`s fractal. Žulia fractal. Fractal Nuton. Koh fractal. Geometric fractals. IFS (iterated function systems) fractals.

8. Three dimensional graphics methods and algorithms. Vertex. Line. Polygons. Level of detailed (LOD). Methods of surface definition. Analytical models. Vectorial polygonal model. Vexels method. Uniform net. Non-uniform net. Surface models transformations.

9. Light. Light refraction and ray tracing. Ideal light reflection model. Reflected ray vector computing. Ray tracing. Object properties. Light properties. Reflection. Transperency. Direct and invert ray tracing. Ray tree. Scene image forming using ray tracing. Ray tracing limitations. Ray tracing algorithm.

10. Animation. 2D/3D animation. Primary scene. Key frames. Object transformations. Spatial transformations. Vertex morphing. Skeleton animation. Vertex Blending. Vertex skinning. Direct kinematics method. Inverse kinematics method. Particles modelling method.

11. OpenGL. OpenGL pipeline. Libraries. Files. OpenGL as a State Machine. OpenGL Command and program syntax. OpenGL Geometric Drawing Primitives. OpenGL animation methods. Working with buffers. Z-buffer. Colour choosing. RGBA and Index colours. Object drawing. Using GLUT library. Working with coordinates system. Working with OpenGL pipeline. Object filling and working with lightening. Normal vectors. Vertex arrays. Plane triangulation. Scene forming and management. Working with matrices. Blending. Viewing and Modelling Transformations. Projection transformations. Viewport transformations. Antialiasing. Fog. Display List. Output of drawing Pixels, bitmaps, fonts, and images. Texture Mapping.

60

DIGITAL CARTOPGRAPHY AND GEOGRAPHICAL INFORMATION SYSTEMS

Author Mag.phys. Edgras Mūkins,Lead researcher, dr.hab.sc.ing. Zigurds Sīka

Code of the courseCredit points of the course 4 credit points (ECTS 6 points)Form of examination ExamPre-conditions NoGroup of the course Course of actual problems

Course purpose

The objective of the study course is to acquire geographic information systems, to get to know systems concepts, it’ s meaning and practical use in digital cartography and in others, with environment related works.

Annotation

The course includes with geographic information systems concepts. The central topics are Data models for geographical information systems, basics of cartography, data in geographical information systems, computer hardware and Software for geographical information systems and digital cartography, applications of geographical information systems. Acquiring the study course, students must solve exercises using program ARCGIS 9.1.


The assessment of the end-of-course examination and in practical GIS exercises is not below 4.

Literature

1. E. Sturmanis. Ģeogrāfiskās informācijas sistēmas. Jelgava. 2005.2. Juliana Maantay. GIS for the Urban Environment. Redlands, Calif, 2006.3. R. Harris, P. Sleight, R. Webber. Mastering GIS: Technology, Applications and Management,

2005.4. Aronoff, S. Geographic information systems: A management perspective. Canada: WDL

Publications. 1989.5. Bernhardsen, T. Geographic Information Systems. Arendal, Norway: Viak IT, 1992.6. Burrough, P.A. and R. A. McDonnell. Principles of Geographical Information Systems. Oxford

University Press, 1998.7. Clarke. K.C. Getting Started with Geographic Information Systems. Prentice Hall, 1997.8. DeMers, M. N. Fundamentals of Geographic Information Systems. New York: J.Wiley & Sons,

1997.9. Huxhold, William E. An Introduction to Urban Geographic Information Systems. New York:

Oxford University Press. 1991.10. Larsson, R. Land Registration and Cadastral Systems: Tools for Land Information Management.

UK: Longman. 1991.11. Longley, P.A.; Goodchild, M.F.; Maguire, D. J. and Rhind, D.W. Geographic Information

Systems and Science. John Wiley & Sons, Ltd., ESRI Press. 2001.12. Martin. D. Geographic Information Systems: Socioeconomic Applications. London. 1996.13. McDonnell, R. and K. Kemp. International GIS Dictionary. UK: GeoInformation International.

1995.14. Star, J., J. Estes. Geographic information systems: An introduction. Englewood Cliffs: Prentice

Hall. 1990.

61

The program

1. Geodetic basics of cartography.

2. Basic concepts of cartography.

3. Concept of geographical information systems (GIS).

4. Data models for geographical information systems.

5. Grid/raster data in geographical information systems.

6. Vector data in geographical information systems.

7. Lattice and TIN data in geographical information systems.

8. Computer hardware for geographical information systems and digital cartography.

9. Software for geographical information systems and digital cartography.

10. Applications of geographical information systems.

62

DIGITAL IMAGE PROCESSING

Author Asoc.prof., dr.hab.phys. Juris Žagars,Asoc.prof., dr.math. Aivars Zemītis

Code of the courseCredit points of the course 4 credit points (ECTS 6 points)Form of examination ExamPre-conditions NoGroup of the course Course of actual problems

Course purpose

The objective of the course is to introduce the students with modern methods of the Digital Image processing and it’s mathematical solutions.

Annotation

The course deals with the contemporary methods of digital image processing and its implementations. The central topics are Image enhancement in the spatial and frequency domains, image restoration, color space transforms and other modern processing methods, including basics of Wavelets and multiresolution processing.



Literature



3. В.А. Сойфер. Методы компютерной обработки изображений, Физматлит, Москва, 2003.

4. J.-L. Starck, F. Murtagh, A. Bijaoui. Image Processing and Data Analysis, Cambridge University Press, 2000.

5. R.C. Gonzalez, R.E. Woods. Digital Image Processing, Pearson Prentice Hall, 2004.

63

The program1. Introduction. What Is Digital Image Processing? The Origins of Digital Image Processing. Examples of Fields

that Use Digital Image Processing. Gamma-Ray Imaging. X-ray Imaging. Imaging in the Ultraviolet Band. Imaging in the Visible and Infrared Bands. Imaging in the Microwave Band. Imaging in the Radio Band. Examples in which Other Imaging Modalities Are Used. Fundamental Steps in Digital Image Processing. Components of an Image Processing System.

2. Digital Image Fundamentals. Elements of Visual Perception. Structure of the Human Eye. Image Formation in the Eye. Brightness Adaptation and Discrimination. Light and the Electromagnetic Spectrum. Image Sensing and Acquisition. Image Acquisition Using a Single Sensor. Image Acquisition Using Sensor Strips. Image Acquisition Using Sensor Arrays. A Simple Image Formation Model. Image Sampling and Quantization. Representing Digital Images. Spatial and Gray-Level Resolution. Aliasing and Moiré Patterns. Zooming and Shrinking Digital Images. Some Basic Relationships between Pixels. Neighbors of a Pixel. Adjacency, Connectivity, Regions, and Boundaries. Distance Measures. Image Operations on a Pixel Basis. Linear and Nonlinear Operations.

3. Image Enhancements in the Spatial Domain. Some Basic Gray Level Transformations. Image Negatives. Log Transformations. Power-Law Transformations. Piecewise-Linear Transformation Functions. Histogram Processing. Histogram Equalization. Histogram Matching. Local Enhancement. Use of Histogram Statistics for Image Enhancement. Enhancement Using Arithmetic/Logic Operations. Image Subtraction. Image Averaging. Basics of Spatial Filtering. Smoothing Spatial Filters. Smoothing Linear Filters. Order-Statistics Filters. Sharpening Spatial Filters. Use of Second Derivatives for Enhancement–The Laplacian. Use of First Derivatives for Enhancement — The Gradient. Combining Spatial Enhancement Methods.

4. Image Enhancements in the Frequency Domain. Introduction to the Fourier Transform and the Frequency Domain. The One-Dimensional Fourier Transform and its Inverse. The Two-Dimensional DFT and Its Inverse.Filtering in the Frequency Domain. Correspondence between Filtering in the Spatial and Frequency Domains. Smoothing Frequency-Domain Filters. Ideal Lowpass Filters. Butterworth Lowpass Filters. Gaussian Lowpass Filters. Additional Examples of Lowpass Filtering. Sharpening Frequency Domain Filters. Ideal Highpass Filters. Butterworth Highpass Filters. Gaussian Highpass Filters. The Laplacian in the Frequency Domain. Unsharp Masking, High-Boost Filtering and High-Frequency Emphasis Filtering. Homomorphic Filtering. Some Additional Properties of the 2-D Fourier Transform. Computing the Inverse Fourier Transform Using a Forward Transform Algorithm. More on Periodicity: the Need for Padding. The Convolution and Correlation Theorems. Summary of Properties of the 2-D Fourier Transform. The Fast Fourier Transform.

5. Image Restoration. A Model of the Image Degradation/Restoration Process. Noise Models. Spatial and Frequency Properties of Noise. Some Important Noise Probability Density Functions. Periodic Noise. Estimation of Noise Parameters. Restoration in the Presence of Noise. Mean Filters. Order-Statistics Filters. Adaptive Filters. Periodic Noise Reduction by Frequency Domain Filtering. Bandreject Filters. Bandpass Filters. Notch Filters. Optimum Notch Filtering. Linear, Position-Invariant Degradations. Estimating the Degradation Function. Estimation by Image Observation. Estimation by Experimentation. Estimation by Modeling. Inverse Filtering. Minimum Mean Square Error (Wiener) Filtering. Constrained Least Squares Filtering. Geometric Mean Filter. Geometric Transformations. Spatial Transformations. Gray-Level Interpolation.

6. Color Image Processing. Color Fundamentals. Color Models. The RGB Color Model. The CMY and CMYK Color Models. The HSI Color Model. Pseudocolor Image Processing. Intensity Slicing. Gray Level to Color Transformations. Basics of Full-Color Image Processing. Color Transformations. Color Complements. Color Slicing. Tone and Color Corrections. Histogram Processing. Color Image Smoothing. Color Image Sharpening. Color Segmentation. Segmentation in HSI Color Space. Segmentation in RGB Vector Space. Color Edge Detection. Noise in Color Images. Color Image Compression.

7. Wavelets and Multiresolution Processing. Background and Image Pyramids. Subband Coding. The Haar Transform. Multiresolution Expansions. Scaling Functions. Wavelet Functions. Wavelet Transforms in One Dimension. The Wavelet Series Expansions. The Discrete Wavelet Transform. The Continuous Wavelet Transform. The Fast Wavelet Transform. Wavelet Transforms in Two Dimensions. Wavelet Packets.

64

METHODS OF IMAGE COMPRESSION

Author Asoc.prof., ph.d (comp.sc.) Radu Ranta,Asoc.prof., dr.hab.phys. Juris Žagars

Code of the courseCredit points of the course 2 credit points (ECTS 3 points)Form of examination ExamPre-conditions Digital image procesingGroup of the course Course of actual problems

Course purpose

The objective of the course is to introduce the students with modern methods of the Image Compression and it’s mathematical solutions.

Annotation

The course deals with the contemporary image compression methods. The central topics are spectral and entropic encodings, compression algorithms based on the Wavelet Transform, color space transforms and other modern compression methods, including basics of fractal image compression.



Literature

1. J. R. Parker, Algorithms for Image Processing and Computer Vision, Wiley; Bk&CD-Rom edition, 1996.

2. R.C. Gonzalez, R.E. Woods, Digital Image Processing, Prentice Hall, 2002.3. Al Bovik, Handbook of Image and Video Processing, Academic Press, 2000.4. J.-L. Starck, F.Murtagh, A.Bijaoui. Image Processing and Data Analysis, Cambridge

University Press, 2000.5. Y. Fisher. Fractal Image Compression, Springer Verlag, 1996.

65

The program

1. Introductiona. What is compressionb. Examplesc. Data and informationd. Compression types

2. Information theorya. Measuring informationb. Information systemc. Entropyd. Noiseless coding theoreme. Coding efficiencyf. Redundancy

3. Compression basicsa. Coding redundancyb. Inter-pixel redundancyc. Psycho-visual redundancyd. Image transformse. Fidelity criteriaf. Compression chain

4. Entropic codinga. Shannon-Fanob. Huffmanc. LZW

5. Inter-pixel codinga. Run-length codingb. Predictive codingc. Optimal prediction

6. Quantization and thresholdinga. Quantizationb. Uniform probabilityc. General probabilityd. Prediction error quantizatione. Thresholding

7. Color space transformsa. Color to grayscaleb. Grayscale to B&W

8. Image transformsa. Geometric analogyb. Functional analysisc. Fourier Transformd. Discrete Cosine Transform

Approximation Zonal coding Threshold coding

e. JPEGf. Wavelet Transform

66

METHODS OF INTERPRETATION AND CLASSIFICATION

Author Asoc.prof., dr.hab.phys. Juris ŽagarsCode of the courseCredit points of the course 2 credit points (ECTS 3 points)Form of examination ExamPre-conditions Digital Image ProcessingGroup of the course Course of actual problems

Course purpose

The objective of the course is to introduce the students with modern methods of Interpretation and Classification of the Digital Image’s and it’s mathematical solutions.

Annotation

The course deals with the modern methods of Interpretation and Classification of the Digital Image’s. The central topics are morphological image processing, image segmentation methods, representation and description as well as other modern processing methods, including basics of Neural Networks and Object Recognition theory.



Literature



3. R.C. Gonzalez, R.E. Woods. Digital Image Processing, 2nd edition, Prentice Hall Inc., 2002

4. R.C. Gonzalez, R.E. Woods, S.L. Eddins. Digital Image Processing using MATLAB, Pearson Education Inc. & Prentice Hall Inc., 2004.

5. В.А. Сойфер. Методы компютерной обработки изображений, Физматлит, Москва, 2003.

6. W.G. Rees, Physical Principles of Remote Sensing, 2nd edition, Cambridge University Press, 2001.

7. R.A. Schowengerdt, Remote Sensing: Models and Methods for Image Processing, 2nd edition, Academic Press Inc., New York, 1997.

67

The program

1. Morphological Image Processing. Preliminaries. Some Basic Concepts from Set Theory. Logic Operations Involving Binary Images. Dilation and Erosion. Opening and Closing. The Hit-or-Miss Transformation. Some Basic Morphological Algorithms. Boundary Extraction. Region Filling. Extraction of Connected Components. Convex Hull. Thinning. Thickening. Skeletons. Pruning. Summary of Morphological Operations on Binary Images. Extensions to Gray-Scale Images. Dilation. Erosion. Opening and Closing. Some Applications of Gray-Scale Morphology.

2. Image Segmentation. Detection of Discontinuities. Point Detection. Line Detection. Edge Detection. Edge Linking and Boundary Detection. Local Processing. Global Processing via the Hough Transform. Global Processing via Graph-Theoretic Techniques. Thresholding. The Role of Illumination. Basic Global Thresholding. Basic Adaptive Thresholding. Optimal Global and Adaptive Thresholding. Use of Boundary Characteristics for Histogram Improvement and Local Thresholding. Thresholds Based on Several Variables. Region-Based Segmentation. Region Growing. Region Splitting and Merging. Segmentation by Morphological Watersheds. Dam Construction. Watershed Segmentation Algorithm. The Use of Markers. The Use of Motion in Segmentation. Spatial Techniques. Frequency Domain Techniques.

3. Representation and Description. Representation. Chain Codes. Polygonal Approximations. Signatures. Boundary Segments. Skeletons. Boundary Descriptors. Some Simple Descriptors. Shape Numbers. Fourier Descriptors. Statistical Moments. Regional Descriptors. Some Simple Descriptors. Topological Descriptors. Texture. Moments of Two-Dimensional Functions. Use of Principal Components for Description. Relational Descriptors.

4. Object Recognition. Patterns and Pattern Classes. Recognition Based on Decision-Theoretic Methods. Matching. Optimum Statistical Classifiers. Neural Networks. Structural Methods. Matching Shape Numbers. String Matching. Syntactic Recognition of Strings. Syntactic Recognition of Trees.

68

PROCESSORS OF NUMERICAL IMAGES

Author Mag.sc.ing. Vladislavs Bezrukovs,Asoc.prof., dr.hab.phys. Juris Žagars

Code of the courseCredit points of the course 2 credit points (ECTS 3 points)Form of examination ExamPre-conditions Course of Mathematical Analysis, programming, digital

image processing, MATLABGroup of the course Course of actual problems

Course purpose

Course purpose is to introduce students with Digital Image Processing algorithms and methods using MATLAB. Show how to create M-functions and image processing filters.

Annotation

Course discusses various image filters, working with spatial and frequency domains. Will be implemented linear and nonlinear spatial filters and lowpass and highpass frequency filters. Discuss how to crate filters for noise reduction and image enhancement. Will be discussed image restoration methods using image degradation/restoration process models. In this course students will know about colour image processing, how to use wavelet transforms for image processing. Also course covers topics about morphological image processing, image segmentation and object recognition.



Literature

1. R.C. Gonzalez, R.E. Woods. Digital Image Processing, Pearson Prentice Hall, 2004.

2. R. C. Gonzalez, R.E. Woods, S.L. Eddins. Digital Image Processing Using MATLAB. Pearson Prentice Hall, 2004.

3. Phillip A. Laplante, Software Engineering for Image Processing Systems; CRC Press, 2003.

4. Don M. J. Wiley & Sons, Numerical Methods for Dsp Systems in C; 1 edition, 1997.

5. Henry Stark, Yongyi Yang Wiley - Interscience, Vector Space Projections: A Numerical Approach to Signal and Image Processing, Neural Nets, and Optics; 1 edition, 1998.

6. Michael Seul, Lawrence O'Gorman, Michael J. Sammon, Practical Algorithms for Image Analysis: Descriptions, Examples, and Code; Cambridge University Press; Bk&CD, Rom edition, 2000.

69

The program

1. Fundamentals. Digital image representation. Reading, displaying writing images. Data and Image types. Converting between data classes and image types. Array indexing. Standard Arrays. M-Function programming.

2. Intensity Transformation and Spatial Filtering. Intensity transformation functions. Histogram processing and Function Plotting. Spatial Filtering. Image Processing Toolbox standard filters. Linear and nonlinear spatial filtering.

3. Frequency domain processing. The 2-D Discrete Fourier Transform. Computing and visualizing the 2-D DFT in MATLAB. Filtering in the Frequency domain. Obtaining Frequency domain filters from spatial filters. Generating filters directly in the Frequency domain. Sharpening frequency domain filters. Lowpass and highpass frequency filters.

4. Image restoration. A model of the image degradation/restoration process. Noise models. Restoration in the presents of noise only – spatial filtering. Periodic noise reduction by frequency domain filtering. Modeling the degradation function. Direct inverse filtering. Wiener filtering. Regularized filtering. Iterative nonlinear restoration using the Lucy-Richardson algorithm. Blind Deconvolution. Geometric transformations and image registration.

5. Color Image Processing. Color image representation in MATLAB. Converting between color spaces. The basics of color image processing. Color transformations. Spatial filtering of Color images. Working directly in RGB vector space.

6. Wavelets. The Fast Wavelet Transform. Working with Wavelet Decomposition structures. The Inverse Fast Wavelet Transform. Wavelet in image Processing.

7. Image compression. Coding Redundancy. Interpixel Redundancy. Psychovisual Redundancy. JPEG Compression.

8. Morphological image processing. Dilation and Erosion. Combining Dilation and Erosion. Opening and Closing. Hit-or-Miss Transformation. Labeling connected components. Opening by reconstruction. Gray-Scale morphology.

9. Image Segmentation. Point, Line, and Edge detection. Line detection using the Hough transforms. Thresholding. Region-Based Segmentation. Segmentation using the Watershed transforms.

10. Representation and Description. Cell array and Structures. Representations. Boundary descriptors. Regional descriptors. Using principal components for description.

11. Object recognition. Computing distance measures in MATLAB. Recognition based on decision-theoretic methods. Forming pattern vectors. Adaptive learning systems. Structural recognition.

70

APPLICATIONS OF DIGITAL IMAGES

Author Asoc.prof., dr.math. Aivars ZemītisCode of the courseCredit points of the course 3 credit points (ECTS 4.5 points)Form of examination ExamPre-conditions Course of computer graphicsGroup of the course Mandatory course

Course purpose

The objective of the course is to give an overview about the possibilities of using digital images in the sectors, which are not related with the science of the Earth.

Annotation

Nowadays digital images obtain more and more extensive applications and larger sense in various sectors of scientific research and economics. For a long time now people are working with such images in medicine, assessment of natural resources and analysis of ecological situation. However now they are used not so much in quality monitoring and control of the various industrial processes. In this course the overview of a number of such areas of digital image applications will be given.



Literature

1. Shehrzad Qureshi . Digital Image Processing: Concepts, Algorithms, and Scientific Applications, Springer, 2005.

2. Scott E. Umbaugh. Computer Imaging: Digital Image Analysis and Processing, CRC Press, 2005.

71

http://www.amazon.com/exec/obidos/search-handle-url/index=books&field-author=Shehrzad%20Qureshi/103-8805975-3718204

APPLICATIONS OF REMOTE SENSING

Author Asoc.prof., dr.hab.phys. Juris ŽagarsCode of the courseCredit points of the course 3 credit points (ECTS 4.5 points)Form of examination ExamPre-conditions Remote sensing fundamentalsGroup of the course Mandatory course

Course purpose

The objective of the course is to introduce the students with applications of remote sensing and possible uses across various economic fields.

Annotation

The course consists of an extensive overview of applications of remote sensing signals, images and other information products received from satellites, methods for managing these products and software used. The course includes applications of the products in agriculture, forestry, ecology, geodesy and cartography, resource management, regional planning, tourism, archeology, insurance, in dealing with aftereffects of natural disasters and other fields.



Literature

1. T.M.Lillesand, R.W.Kiefer Remote Sensing and Image Interpretation, J.Wiley & Sons, Inc., New-York, 1994.

2. Paul M. Mather Computer Processing of Remotely Sensed Images, J.Wiley & Sons, Inc. New-York, 1999.

3. Resources in Earth Observation – http://ceos.cnes.fr4. Manual of Remote Sensing, vol.1-2, American Association of Photo-grammetry and

Remote Sensing, 1983.5. Kramer H.J. Observation of the Earth and its Environment: Survey of Missions and

Sensors, Springer Verlag, 1994.

72


ARTIFICIAL INTELLIGENCE

Author Asoc.prof., dr.math. Aivars ZemītisCode of the courseCredit points of the course 2 credit points (ECTS 3 points)Form of examination ExamPre-conditions Numerical methodsGroup of the course Mandatory course

Course purpose

The objective of the course is to introduce the students with artificial intelligence and its applications in digital image processing.

Annotation

The significance of artificial intelligence (AI) is growing in solutions of complex modelling and data processing problems. Methods of ARI rapidly develop and its applications become ever more extensive. AI plays critical role in digital image processing. Students will be introduced to various theoretical approaches and practical applications of AI.



Literature

1. Henry Brighton. Introducing Artificial Intelligence, Totem Books, 2004.

2. Ashish Ghosh, Sankar K. Pal. Soft Computing Approach to Pattern Recognition and Image Processing (Series in Machine Perception and Artificial Intelligence), World Scientific Pub Co Inc, 2003.

73

GAME THEORY

Author Asoc.prof., dr.math. Aivars ZemītisCode of the courseCredit points of the course 2 credit points (ECTS 3 points)Form of examination ExamPre-conditions Numerical methods of optimizationGroup of the course Mandatory course

Course purpose

The objective of the course is to introduce the students with the basic methods of game theory and its applications.

Annotation

Nowadays every professional of computer science should be able to work also in the sector of private business. The science of game theory gives the theoretical basis on choosing strategy and tactics to work in a complicated environment. Within the framework of this course, the idea about the elements and methods of game theory and its practical applications will be given.



Literature

1. A.C.C. Coolen. The Mathematical Theory Of Minority Games: Statistical Mechanics Of Interacting Agents (Oxford Finance S.), 2005.

2. Elliot Mendelson. Introducing Game Theory and its Applications, Chapman & Hall/CRC, 2004.

74

GAMS TOOLS

Author Asoc.prof., dr.math. Aivars ZemītisCode of the courseCredit points of the course 2 credit points (ECTS 3 points)Form of examination ExamPre-conditions Numerical methods of optimizationGroup of the course Mandatory course

Course purpose

The objective of the course is to introduce the students with GAMS software and to give them comprehensive skills to work with it.

Annotation

Different software (tools) substantially relases and hastens the performance of data processing and modeling. GAMS is a general system of algebraic modeling, which can be used in various sectors. An application of optimization methods takes a very significant place in solving modeling tasks. The course will be grounded basically on workshops, where each student will have to work on an individual project.



Literature

1. Anthony Brooke, David Kendrick, Alexander Meeraus, Ramesh Raman. GAMS: a User's Guide, GAMS Development Corporation, 1998.

75

INTRODUCTION TO RADIO ASTRONOMY

Author Docent, dr.phys. I. Šmelds,Dr.phys. Leonīds Gurvits,Lead researcher, dr.phys. Boriss Rjabovs

Code of the courseCredit points of the course 3 credit points (ECTS 4.5 points)Form of examination ExamPre-conditions Course of general AstronomyGroup of the course Mandatory course

Course purpose

The basic objective of the course is introduction with basic concepts, methods, and problems.

Annotation

During the realization of this course students are introduced in radio astronomy and they get acquainted with methods of Space research in radio waves and their technical realization at a level allowing independently dealing with radio astronomical literature and taking part in radio astronomical researches. The beginning part of the course deals with the technology of radio astronomy – radio telescopes, receivers and backbends, their parameters and principles of operation. Another chapter deals with aperture synthesis, radio interferometry, particularly VLBI. The features of space-born radio astronomy and interferometry are considered. The review of achievements and results of the radio astronomy follows. The basic results of radio astronomy, including results of researches of the Sun and stars, interstellar matter, as well as results of researches related to extragalactic astronomy and cosmology. Special lecture considers the perspectives of radio astronomy and radio telescopes of future.


Literature1. B.F. Burke, F. Graham-Smith. An Introduction to Radio Astronomy, Cambridge

University Press, 2000.2. I.H. Woodhouse, Introduction to Microwave Remote Sensing, London, Taylor &

Francis, 2006.3. A.R. Thompson, J. M Moran, G. W. Swenson Jr., Interferometry and Synthesis in

Radio Astronomy, 2nd edition, WIEY-VCH Verlag GmbH & Co. KgaA, 2004.4. K. Rohlfs, T.L. Wilson Tools of radio astronomy, 4th revised edition, Springer-

Verlag Berlin and Heidelberg GmbH & Co. KG, 2003.

76

The program

1. The general conceptions of radio astronomy. Radio waves and their propagation. Single

radio telescopes and their parameters. Antennas, their types and frequency ranges.

Receivers and their parameters. Backbends.

2. Interferometry and aperture synthesis. VLBI. Effects caused by propagation of radio

waves and calibration. Radio imaging. VLBI astrometry and geodesy. Radio spectroscopy.

Radio polarimetry. Spectral line VLBI. Space-born radio astronomy. Future radio

astronomy facilities.

3. Galactic continuum radiation and radiation in spectral lines. Interstellar matter and its

radiation in radio waves. Stars and their radio emission. Pulsars.

4. Solar radio telescopes. Solar eclipse radio observations. Thermal and non-thermal solar

radio emission. Solar activity. Space weather exploration with radio telescopes. Planetary

radio astronomy.

5. Extragalactic radio sources. Radio galaxies and quasars. Radio astronomy in cosmology:

source counts, gravitational lensing, Cosmic Microwave Background.

77

MATLAB PROGRAMMING TOOLS

Author Asoc prof., dr.sc.ing. Pēteris Misāns,Asoc.prof., dr.math Aivars Zemītis

Code of the courseCredit points of the course 2 credit points (ECTS 3 points)Form of examination ExamPre-conditions Course of Computer GraphicsGroup of the course Mandatory course

Course purpose

Introduction by possibilities of MATLAB. Extended mastering of several MATLAB/SIMULINK Toolboxes/ Blocksets.

Annotation

The course is developed for masters. That targets at the introduction into possibilities of MATLAB environment. Main directions of activities:

• the specific of MATLAB programming ,• the building of SIMULINK models,• introduction into 2-D and 3D graphics,• introduction into image processing and wavelets.



Literature

1. Rudra Pratap, Getting Started With Matlab: Version 6. A Quick Introduction for Scientists and Engineers, Oxford University Press, 2001.

2. J.H. Mathews, K.D. Fink, Numerical Methods Using MATLAB. Pearson Prentice Hall. 4-th ed. New Jersey, 2004.

3. R.C. Gonsales, R.E. Woods, S.L. Eddins. Digital Image Processing using MATLAB. Pearson Prentice Hall. New Jersey, 2004.

4. J.B. Dabney, T.L. Harman. Mastering SIMULINK. Pearson Prentice Hall. New Jersey, 2004.

5. P. Marchand, O.T. Holland. Graphics and GUIs with MATLAB. Chapman&Hall/CRC Hall. New York, 2003.

6. MATLAB/SIMULINK/Toolboxes/Blocksets User Guides for Version 7. MathWorks, 2004.

7. С.В. Поршнев. Учебник MATLAB 7. Основы работы и программирования. Москва: Издво - Бином, 2006.

8. P.Misāns. Pirmie soļi darbā ar MATLAB. *.pdf version, RTU, LEtERA,VeA, 2006.

78

The program

1. MATLAB Environment Overview. MATLAB/SIMULINK user interface. MATLAB/SIMULINK - supercalculator. MATLAB/SIMULINK - programming tool. The structure of MATLAB environment. MATLAB Toolboxes and their possibilities. SIMULINK Blocksets and their possibilities. Using Help.

2. Working with MATLAB. MATLAB objects and data classes. Matrices. Structures and cell arrays. Strings and regular expressions. Special matrices. Data filtering. Solving of simultaneous linear equations. Curve fitting. Symbolic computation.

3. Programming. Comparison of MATLAB and C language. M-file editor/debugger, profiler. Scripts and functions. MATLAB statements. Try-catch statement features. Recursive functions. The building of executables from MATLAB code. Including of C and Java codes into M-files.

4. MATLAB Graphics. Graphical objects and their hierarchy. Handle graphics. Manual and half-automatic development of GUIs. The basics of 2-D and 3-D graphics. Tex and LaTex interpreters. Interactive editing of graphics. Animation. Import and export of graphics.

5. Working with SIMULINK. Introduction into the basics of visual programming. The building of models of processes. SIMULINK interface. Block libraries. Models. Block masking. User library building. Working with frames. Real Time models and simulation.

6. Image Processing. Introduction into Image Processing Toolbox. Loading and displaying of images. Data classes. Multidimensional arrays. Image filtering. Frequency domain image filtering. Denoising of images. Wavelets and image processing. Image compressing.

7. Examination. Team project. Each participant makes own “brick”. Duration of exam - 2 days. The project title for year 2006 – „Virtual radio telescope”. Project covers almost all of course topics.

79

MICROWAVE REMOTE SENSING

Author Docent, dr.phys. I. Šmelds,Asoc.prof., dr.hab.phys. Juris Žagars

Code of the courseCredit points of the course 2 credit points (ECTS 3 points)Form of examination ExamPre-conditions NoGroup of the course Mandatory course

Course purpose

The purpose of this course is acquaintance to microwave remote sensing and its applications in Space researches and researches of resources of the Earth, in particular with use methods of interferometry for image acquisition.

Annotation

In the given course students get acquainted with main principles of microwave remote sensing and its applications in researches of terrestrial resources and Space objects. In the beginning of the course the physical fundamentals connected with radio waves, propagation of radio waves of various length and their interaction with medium are considered. The review of the structure, parameters and action of antennae and receivers used in microwave remote sensing and radio astronomy follows. Further students get acquainted with main principles of passive and active remote sensing and their concrete applications. In a final part of the course it is considered acquisition of the images in radio wave range with use passive and active remote sensing, radio interferometry, their concrete applications, problems connected with them and ways of their overcoming.



Literature

1. I. H. Woodhouse, Introduction to Microwave Remote Sensing, London, Taylor & Francis, 2006.

2. J. Askne, Microwaves for Remote Sensing and Communication, Goteborg, Sweden, 1998.

3. C. Oliver, S. Quegan, Understanding Synthetic Aperture Radar Images, Artech House, Boston, London, 1998.

4. A.R. Thompson, J.M Moran, G.W. Swenson Jr., Interferometry and Synthesis in Radio Astronomy, 2nd edition, WIEY-VCH Verlag GmbH & Co. KgaA, 2004.

5. K. Rohlfs, T.L. Wilson Tools of radio astronomy, 4th revised edition, Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2003.

80

The program

Microwave remote sensing, its applications, advantages and disadvantages, frequency

bands used in researches of Earth resources and radio astronomy. Radio astronomy. Waves, their

polarization and coherence. The interference and antenna beam pattern. The generating of

microwaves and their propagation. The parameters of polarization. Polarimetry in radars and in

Space researches. Propagation of microwaves through media and atmosphere. Interaction of

microwaves with discrete objects. Volume scattering and emission. Scattering and emission from

different surfaces.

Receivers and antennas used in microwave remote sensing and radio astronomy. Their

parameters and calibration. Detection of low signals, signal-noise relation. Atmosphere

sounding. Passive remote sensing. Basic principles of active remote sensing (radar, its basic

equations, resolution). Altimeters. Aperture synthesis, scatterometers. Basic principles of radar

imaging. Radar with aperture synthesis. Problems in radar imaging (distortions, shadows,

speckles), their overcoming. SAR data formats.

The basic principles of radar interferometry and its practical realization; problems and

their overcoming. Radiointerferometry. Relations between radio signal received and distribution

of radio emission of the source. Cross-correlation. Fringes. Correlator. Antenna fields, their

configurations, spatial frequencies and their coverage. Practical radio mapping.

81

NONLINEAR SYSTEMS

Author Asoc.prof., dr.hab.phys. Juris ŽagarsCode of the courseCredit points of the course 3 credit points (ECTS 4.5 points)Form of examination ExamPre-conditions Modeling of chaotic processesGroup of the course Mandatory course

Course purpose

The objective of the course is to introduce the students with methods of analysis, modeling and calculation of nonlinear systems.

Annotation

Students of this course have to be the knowledge about the essence of chaotic processes and their mathematical interpretation. At first chaotic occurrences in nonlinear electronic schemes are analyzed, then – conditions for integration of nonlinear systems with finite dimensions. Big attention is paid to mathematical modeling of solitons (also tsunami waves) and methods of control and management of chaotic systems.


The assessment of end-of-course examination is not below 4.

Literature

1. Lakshmanan M., Rajasekar S. Nonlinear Dynamics (Integrability, Chaos and Patterns), Springer Verlag, 2003.

2. Ott E. Chaos in Dynamical Systems, Cambridge University Press, 2000.3. Huyen Dang-Vu, Delcarte C. Bifurcations et Chaos, Ellipses Edition, Paris, 2000.4. Mandelbrot B.B. Fractals and Scaling in Finance, Springer Verlag, 1997.

82

PROGRAMMING OF NUMERICAL METHODS

Author Asoc.prof., dr.math. Aivars ZemītisCode of the courseCredit points of the course 3 credit points (ECTS 4.5 points)Form of examination ExamPre-conditions Courses on algebra and numerical methods of analysisGroup of the course Mandatory course

Course purpose

The objective of the course is to improve skills in object-oriented programming in context of using numerical methods.

Annotation

During the course the usage of numerical methods is outlined and analyzed from the view of object-oriented programming. Innovations in digital image processing are often connected to the improvement of separate algorithms and their realization as computer programs. The principles of object-oriented programming are essential to achieve the goal effectively in short time.


The assessment of end-of-course examination is not below 4.

Literature

1. Didier H. Besset. Object-Oriented Implementation of Numerical Methods: An Introduction with Java & Smalltalk, Morgan Kaufmann; Bk&CD Rom edition, 2000.

2. William H. Press, Saul A. Teukolsky, William T. Vetterling, Brian P. Flannery. Numerical Recipes in C++: The Art of Scientific Computing, Cambridge University Press; 2002.

83

SATELLITE NAVIGATION SYSTEMS & METHODS

Author Asoc.prof., dr.hab.phys. Juris Žagars,Lead researcher, dr.phys. Māris Ābele

Code of the courseCredit points of the course 3 credit points (ECTS 4.5 points)Form of examination ExamPre-conditions AstronomyGroup of the course Mandatory course

Course purpose

The objective of the course is to deal with the theoretical basements of the satellite navigation systems, as well as with their general applications and processing algorithms.

Annotation During the course together with a general survey students will be introduced with the

structure of signals transmitted by GPS satellites, systems of coordinates used with GPS and types of obtained observations. They will analyze satellite orbits and constellations, mathematic models of positioning and data processing algorithms. Students will also study general fields of GPS application, as well as similar satellite navigation systems (GLONASS and GNSS-Galileo).



Literature

1. B. Hofmann - Wellenhof, H. Lichtenegger. GPS Theory and Practice, Springer Verlag, Wien, 1992 (and further edditions).

2. W. Blanchard (FRIN). The air pilots guide to Satellite Positioning Systems, Airlife Publishing Ltd., London, 1995.

3. R.W. King. Surveying with Global Positioning System, Dummler, Bonn, 1987.

84

The program1. GPS history and system survey. Satellite systems TRANSIT and NAVSTAR. Principles

of global positioning. Development of equipment and software. GPS ephemerid service, CIGNET and IGS. Segments of GPS system: space segment, control segment and user segment. GPS constellation and signals. Limits of accuracy (SA and AS).

2. Coordinate systems. Coordinate systems ITRF, ICRF, WGS-84 and relations between them. Helmert’s transformation. Influence of the motion of terrestrial poles and irregularity of proper rotation. Diurnal component in the motion of poles. Influence of precession and nutation.

3. Theory of satellite orbits. Equations of satellite motion in gravitational field of the Earth. Hamilton-Jacobi method and Liuville theorem. Solution of Kepler’s problem with Hamilton-Jacobi method. Jacobi canonical orbital elements and their connection with Kepler’s orbital elements.

4. Theory of perturbations. Classical theory of perturbations in Hamilton form and its Lagrange equations. Secular perturbations, their analysis and calculation. Short period perturbations of orbit inclination. Dissipative perturbations of atmosphere resistance and survey of other kinds of perturbations.

5. Signals of GPS satellites. Structure and components of GPS satellite signals. L1, L2 carrier frequencies and phase modulation. Pseudo noises C/A and P(Y), navigation data. Algorithms of code generation. Orbital information in GPS signal. Almanac data, transmitted ephemeris and exact ephemeris. Signal treatment: code correlation technology and phase technology.

6. GPS measurements – pseudo distances. Pseudo distances of codes and phases. Application of Doppler Effect measurements, noise component and systematic biases of measurements. Combination and alignment. Corrections (refraction in ionosphere and troposphere, relativistic effects, multipath, offset and motion of antenna’s centre of phases).

7. Effects of the atmosphere. Microwave phases and group velocities. Refraction of ionosphere and its calculation. Other methods of considering refraction of ionosphere (measuring, estimation, exclusion). Synthesized L3 frequency, its benefits and drawbacks. Refraction of troposphere in Hopfield’s approximation. Dry and wet component.

8. GPS positioning. Absolute positioning of codes. Absolute positioning of phases. Relative positioning and equations of differences (first, second and third differences). Relative systems of positioning. Static relative positioning.

9. Integer ambiguity. Kinematical positioning (phase method) and related problems. Registering of leaps of integer ambiguity. Calculation of integer ambiguity. Correlation problems and DOP factors.

10. GPS applications on geodesy. Geodesic measuring technologies. Baltic and Latvian reference network. Planning of GPS session. Basic methods of measurements – radial method and net method. Pre-processing of measurements. Processing software and their main constituents.

85

SATELLITE TELECOMMUNICATION SYSTEMS

Author Asoc.prof., dr.hab.phys. Juris Žagars,Lead researcher, dr.phys. Juris Ozols

Code of the courseCredit points of the course 3 credit points (ECTS 4.5 points)Form of examination ExamPre-conditions PhysicsGroup of the course Mandatory course

Course purpose

The objective of the course is to introduce the students with the physical basics of microwave propagation

Annotation

The course includes an overview of microwave traveling through the atmosphere and orbits of communications satellites. The course deals with main services of satellite telecommunications and companies working in the field and systems they are operating with.



Literature

1. Lewis G.E. Communication Services via Satellite, BSP Professional Books, Oxford, 1988.

2. Long M. The 1993/1994 World Satellite Annual, Mark Long Enterprise Inc., Ft.Lauderdale, USA, 1995.

3. Levchenko V.N. Sputnikovoje televidenije (krievu val.), BHV St.Pēterburga, 1998.4. Matthews P.A. Radio wave propagation VHS and above, Chapman and Hall Ltd,

London, 1985.

86

SENSOR SYSTEMS

Author Asoc.prof., dr.hab.phys. Juris Žagars,Docent, dr.phys. Ivars Šmelds

Code of the courseCredit points of the course 2 credit points (ECTS 3 points)Form of examination ExamPre-conditions NoGroup of the course Mandatory course

Course purpose

The objective of the course is to introduce the students with basic principles and usage of platforms of remote sensing and satellite sensor systems

Annotation

The course consists of an overview of satellite sensor systems, main parameters and classification of resolutions. The course deals with main, currently used remote sensing satellite, optical, infrared and thermal sensor systems (ATSR, AVHRR, SPOT) and main satellite microwave sensors (SAR, JERS SAR, RADARSAT, SIR-C/X-SAR) and their applications.



Literature

1. T.M.Lillesand, R.W.Kiefer Remote Sensing and Image Interpretation, J.Wiley & Sons, Inc., New-York, 1994.

2. Paul M. Mather Computer Processing of Remotely Sensed Images, J.Wiley & Sons, Inc. New-York, 1999.

3. Resources in Earth Observation – http://ceos.cnes.fr4. Rees W.G. Physical Principles of Remote Sensing, 2-nd edition, Cambridge

University Press, 2001.

87


TELECOMMUNICATION TECHNOLOGIES

Author Lead researcher, dr.hab.ing.sc. Manfrēds Šneps-ŠneppeCode of the courseCredit points of the course 4 credit points (ECTS 6 points)Pre-conditions Computer networks, Electronics basicsGroup of the course Mandatory course

Course purpose

The objective of the course is to introduce the students with newest telecommunication technologies.

Annotation

During the course these topics are discussed: systems of phone signaling, evolution of channel commutation, basics of packet commutation, evolution of mobile networks and methods of theory of tele-traffic which are used in computing the capacity of telecommunication networks.


The assessment of five tests and end-of-course examination is not below 4.

Literature

1. W. Stallings. Wireless communications and networks, 2005, ISBN 0-13-196790-82. O. Belmanis. Telekomunikāciju signalizācija, RTU, 2005.3. A. Kavacis. Telekomunikāciju sistēmas, RTU, 2004.4. М. Шнепс-Шнеппе. Лекции по сетям связи нового поколения NGN, М., МАКС

Пресс, 2005. ISBN 5-317-01290-25. М. Шнепс-Шнеппе. Интернет-телефония: протокол SIP и его применения, М.,

МАКС Пресс, 2002. ISBN 5-317-00537-Х

88

The program

1. Systems of phone signaling. Basics of MIC. Basic scheme and modes of telephone

signaling. Information about the rout of the connection. Subscriber signaling. Signaling

between ATCs. R2 signal coding.

2. Evolution of channel commutation. Structure of commutation junction. Principles of

ISDN. ISDN BRI and PRI. Digital commutation systems. Overview of additional services.

Algorithm of conference calls. SS7 scheme. Intellectual networks. CSTA protocol. Basic

ideas of Parlay. JAVA programming with Parlay platform.

3. Basics of packet commutation. VoIP gateway. VoIP coding principles. VoIP coding

algorithm. VoIP protocols. Basics of SIP. SIGTRAN. Skype programming.

4. Evolution of mobile networks. GSM scheme. GPRS scheme. 3GPP architecture. IMS

scheme and the role of HSS.

5. Methods of theory of tele-traffic. Flow of Puason call and exponential distribution.

Markov’s process. Two-line system with losses. One-line system with one waiting point.

One-line system with one waiting point and an impatient subscriber. Time of two-phase

service. Overview of Erlang’s formula.

89

WIRELESS TECHNOLOGIES

Author Lead researcher, dr.hab.ing.sc. Manfrēds Šneps-ŠneppeCode of the courseCredit points of the course 2 credit points (ECTS 3 points)Form of examination ExamPre-conditions Network operating systems, Basics of Electronics,

Advanced telecom technologiesGroup of the course Mandatory course

Course purpose

The objective of the course is to introduce the students with newest wireless telecommunication technologies.

Annotation

The course deals with the telecom technologies survey, wireless technologies basics, GMS webs, 3GPP architecture and IMS, and with Mobile network performance models.



Literature

1. W. Stallings. Wireless communications and networks, 2005, ISBN 0-13-196790-82. G. Rogers. Wireless Technologies. Prentice Hall, 2003.3. И. Шахнович. Современные технологии беспроводной связи. Москва,

Техносфера, 2006.4. Б. Скляр. Цифровая связь. Москва, Вильямс, 2003.5. М. Шнепс-Шнеппе. Лекции по сетям связи нового поколения NGN, М., МАКС

Пресс, 2005. ISBN 5-317-01290-2

90

The program

1. Telecom technologies survey. What is digital exchange. Telephone signaling. ISDN, SS7.

Supplementary services. IP telephony, H.323, SIP. NGN. Call center (Contakt center).

Intelligent network. Open programming interfaces, Parlay/OSA, Parlay X, web-services.

2. Wireless technologies basics. Wireless technologies spectrum. Signal modulation.

3. GSM webs. SS7. MSC (Mobile Switching Centеr), rouming. Data bases HLR and VLR.

МАР. SMS. WAP network. GPRS ( SGSN (Serving GPRS Support Node) and GGSN

(Gatеway GPRS Support Node)). Bluetooth. WiFi. WiMAX.

4. 3GPP architecture. IMS (Application server AS, Serving Call Session/State Control

Function (S-CSCF),Proxy CSCF (P-CSCF), Interrogating CSCF (I-CSCF), Home

Subscriber Server (HSS), Media Resource Function (MRF), Media Gateway Control

Function (MGCF) and Media Gateway (MGW). Rouming of Applications. Voice services

in 3G network (Voice Platform. Speech Recognizer. Text-to-Speech. Audio-Playback and

Record: Voice Browser Call Control: Content Server. MVNO. SmartHouse basics and

ZigBee.

5. Mobile network performance models. QOS basics.

91

Appendix Nr. 2.CV’s of academic staff

92

Contents:

1. Ābele Māris

2. Bezrukovs Valērijs

3. Bezrukovs Vladislavs

4. Bičevska Gunta

5. Dumbrājs Oļģerts

6. Freimanis Juris

7. Gurvits Leonīds

8. Hiļķeviča Gaļina

9. Kalniņš Juris Roberts

10. Kriķis Mārtiņš

11. Misāns Pēteris

12. Mūkins Edgars

13. Ozols Juris

14. Ranta Radu

15. Rjabovs Boriss

16. Sīka Zigurds

17. Šmelds Ivars

18. Šneps-Šneppe Manfreds

19. Vilks Ilgonis

20. Vucāns Jānis

21. Zemītis Aivars

22. Žagars Juris

93

CURRICULUM VITAE

1. THE BASIC INFORMATION

Name, surname Maris AbeleYear of birth 1937.Address: Poruka street 38, Cesis, LV-4100Phone: +371 29354130 (mob.); +371 7034589E-mail address: [email protected]

2. EDUCATION:

Educational establishment Latvian State UniversityDate: from (mm/yyyy) until (mm/yyyy)

19551960

The education obtained: Physicists qualification (specialization - Physics)Diploma No. O Nr. 075956

Educational establishment M. Lomonosov Moscow State University, Faculty of Physics

Date: from (mm/yyyy) until (mm/yyyy) 1964The education obtained: Science candidate of Physics and MathematicsDiploma No. MFM Nr. 003981

Educational establishment University of LatviaDate: from (mm/yyyy) until (mm/yyyy) 1993The education obtained: Dr.phys.Diploma No. C-D Nr. 001197

Educational establishment Latvian Academy of Sciences (LAS)Date: from (mm/yyyy) until (mm/yyyy) 2001The education obtained: LAS corresponding member in astronomyDiploma No. K-230

3. KNOWLEDGE OF LANGUAGES: (estimating from 1 to 5 (1 - scarcely; 5 - fluent))

Language Reading Speaking WritingLatvian 5 5 5English 3 4 2Russian 5 5 5

4. JOB EXPERIENCE:

Date: from (mm/yyyy) until (mm/yyyy)

12/1997until now

Name of institution or enterprise

University of Latvia, Institute of Astronomy

Position Premier researcher

94

mailto:[email protected]


04/2005until now


University of Latvia, Institute of Astronomy

Position Acting director


19601965


Latvian State University, Astronomical observatory

Position Engineer, senior engineer


19651995



Position Senior research associate


19951997



Position Premier researcher in astrometry and celestial mechanics specialty


19631990


Optically mechanical factory (Riga)

Position Engineer – physicist

5. OTHER SUBSTANTIAL INFORMATION (for example, publications, participation in conferences and projects):

Since y. 1973 member of International Astronomer Union.Since y. 1955 member of Latvian Astronomy Union.

Author or coauthor for 34 scientifically publications and 26 certificate of authorship or patents (USSR, Bulgaria, Latvia, Germany’s SR)

Important scientific publication:

1. Abele M.K. The utilization of long-focus cameras for determination of the coordinates if faint artificial satellites (Rus.). Journal of Astronomy, 1960.

2. Abele M.K. Photoelectric zenith tube for observation of stars at equal zenithal distance (Rus.). Riga: educational publication of Latvian State University, 1969.

3. Abele M., Lapuska K. Astronomical photographic device for observation of artificial satellites of the Earth (Rus.). Riga: 1970.

95

4. Abele M., Balodis J., Brodie-Hall L., Decker W., Rao U.K., Rubans A., West O., Vjaters J., Zarins A. Field tests of GPS steered portable satellite laser ranging system. Symp. IAG subc., Ankara – 1996, Munchen, 1996.

5. Abele M., Balklavs-Grinhofs A., Osipova L. Possibility of minor planets distance measurement with laser ranging device. II. Latvian Journal of Physics and Technical Sciences, 2004.

96

CURRICULUM VITAE


Name, surname Valerijs BezrukovsYear of birth 1950Adress: Jelgava, Brivibas bulv., 28-25, LV-3004Phone: 29147160E-mail address: [email protected], [email protected]

2. EDUCATION:

Educational establishment Institute of Physical EnergeticDate: from (mm/yyyy) until (mm/yyyy)

03/199203/1993

The education obtained: Dr.sc.ingDiploma No. E-D 000109

Educational establishment VNIIelektromaš, St. PeterburgsDate: from (mm/yyyy) until (mm/yyyy)

06/198703/1992

The education obtained: Candidate of Technical SciencesDiploma No. KД №071273

Educational establishment Polytechnic Institute of RigaDate: from (mm/yyyy) until (mm/yyyy)

06/196806/1974

The education obtained: Engineer - electromechanicianDiploma No. Ю № 393453

3. FURTHER EDUCATION/COURSES:

Educational establishment

Name of the course Date: from (mm/yyyy) until (mm/yyyy)

VK PSRS IAL States higher qualification promotion courses in patenting questions

10/1987 until02/1988



5. JOB EXPERIENCE:


08/197408/1987

97




Latvian Academy of Science, Institute of Physical Energetic

Position Science researcher


08/198706/1993


Latvian Academy of Science, Institute of Physical Energetic

Position The head of the Institutes patenting department


05/1993until now


SIA Elmag, Company of technical researching

Position Managing director


10/199410/2004


Ventspils International Radioastronomy center

Position Leading specialist


10/2004until now


Ventspils International Radioastronomy center

Position General engineer


50 scientific works, of them 21 patents.Grants „VSRC radioteleskopu elektropiedziņas energoefektivitātes un darbības drošuma

paaugstināšanas pētījumi” lead in project Nr. 05.0024.Leader of market-guided projects: TOP-02/40, TOP-02/78, TOP-04/28Member of European CRAF (Comitee of Radio Astronomy Frequences).

98

CURRICULUM VITAE

1. Personal detail:

Name, Surname: Vladislavs BezrukovsDate of Birth: 07/11/1981Address: 28-25, Brivibas street, Jelgava, Latvija. LV3004.Phone Mobile: +353851217257 (Irekand)E-Mail: [email protected]; [email protected]

2. Education:

Institution Riga Technical University, Riga, LatviaDate: from (mm/yyyy) to (mm/gggg)

09/200307/2005

Obtained education: Master’s Degree in computer science and computer engineering.

Diplom Nr. № MDA 0858, 20 June 2005.

Institution Riga Technical University, Riga, LatviaDate: from (mm/yyyy) to (mm/ yyyy)

09/200007/2003

Obtained education: Bachelor's Degree in computer science and computer engineering.

Diplom Nr. Certificate № 015027, 4 July 2003.

Institution Jelgavas 5. secondary school, Jelgava, LatviaDate: from (mm/yyyy) to (mm/ yyyy)

09/1988 07/2000

Obtained education: Secondary education Diplom Nr.

3. NEXT education and courses:

Institution Course Name Date: from (mm/ yyyy) to (mm/ yyyy)

Cork Institute of Technology, Cork, Ireland

Applied Physics & Instrumentation 02/2005

4. Languages: (from 1 to 5 (1 - poorly; 5 - fluently))

Language Literacy Speech WriteLatvian 5 4 4English 5 4 4Russian 5 5 5

5. Work and Skills summary:

Date: from (mm/ yyyy) to (mm/ yyyy)

09/200601/2007

99



Working place name Ventspils Economical High schoolPost Lecturer


06/1999Present

Working place name SIA ZRF "ELMAG"Post Programmer

Date: from (mm/ yyyy) to (mm/ yyyy))

03/200401/2005

Working place name SIA "JAUNA BURA"Post Network administrator


01/2001 12/2003

Working place name SIA "RITA" Post MS Access data base programmer and network administrator

6. OTHER IMPORTANT INFORMATION (e.g. publications, conferences, projects):

PROJECTS

2001 – 2004 Participated in project about estimating wind power potential in Latvia (Latvian Academy of Sciences, Institute of Physical Energetics)

06.1996 – 9.1999. participated in RT-32 and RT-16 (Ventspils radio telescopes) reconstruction

PUBLICATIONS

1. Bezrukovs D., Bezrukovs V., Bezrukovs Vl. “The preparation of the drive system of the VIRAC radio telescope for the European VLBI Network operation”. 11th International Power Electronics and Motion Control Conference, 2 - 4 September 2004, Riga, Latvia, pp 4.

2. Bezrukovs Vl. “The preparation of the drive system of the VIRAC radio telescope for the European VLBI Network operation”. Poster. YERAC 2004, Cork, Ireland.

3. Bezrukovs. V., Gabuzda D. „Multi-wavelength polarization VLBI observations of two BL Lac objects”. Procceding of 8th European VLBI Network Symposium, held in Torun, Poland September 26-29, 2006.

CONFERENCES AND SCHOOLS

8th European VLBI Network Symposium (EVN 2006)26 – 29 Sep, 2006, Torun, Poland. Vladislavs Bezrukovs, CIT, Ireland„Analysis of the multi-wavelength polarization VLBI observations of BL Lac objects”

Young European Radio Astronomer's Conference 2004 (YERAC 2004)30 Aug – 3 Sep, 2004, UCC, Cork, IrelandVladislavs Bezrukovs, VIRAC, Latvia“Preparation of the drive system of the VIRAC radio telescope for EVN operation (poster)”http://www.physics.ucc.ie/YERAC

100

http://www.physics.ucc.ie/YERAC

European Radio Interferometry School (ERIS 2005)5 - 9 Sep, 2005, Manchester, UKParticipant.http://www.radionet-eu.org/rnwiki/EuropeanRadioInterferometrySchool

Astronomical Science Group of Ireland Spring 2006 meeting (ASGI 2006)3 – 4, May, 2006, University College Cork, Cork, Ireland Vladislavs Bezrukovs, CIT“Analysis of the multi-wavelength polarization VLBI observations of BL Lac objects”.http://www.arm.ac.uk/asgi/events.htmlhttp://astro.ucc.ie/asgi2006spring

Introduction to IDL workshop 19 – 20 Apr, 2005, NUI, Galway, IrelandParticipant. http://www.arm.ac.uk/asgi/Spring2005/index_idl.htm

Astronomical Science Group of Ireland Spring 2006 meeting (ASGI 2006)ASGI Spring 2005 (NUI Galway, Joint ASGI/CosmoGrid Meeting) 21 – 22 Apr, 2005Participant. http://www.arm.ac.uk/asgi/events.html

2nd International Scientific Conference „Information Society and Modern Business”1-2, Jul, 2005, Ventspils University College, Ventspils, LatviaVladislavs Bezrukovs, VIRAC“The architecture of INTRANET and INTERNET of the VIRAC”

Marie Curie Actions Conference “Making Europe more attractive for researchers”28 – 30 Sep, 2005, Pisa/Livorno, ItalyParticipanthttp://www.ifc.cnr.it/mariecurie/

ENIGMA Mid Term Review meeting8 – 10 Mar, 2005, Bohn, GermanyParticipant. http://www.lsw.uni-heidelberg.de/projects/enigma/Meetings.html

ENIGMA 5th meeting13 – 17 Jun, 2005, NeubrandenburgVladislavs Bezrukovs, CIT, Cork.High-frequency, multi-wavelength VLBI observations of BL Lac objects”

http://www.lsw.uni-heidelberg.de/projects/enigma/Meetings.html

ENIGMA 6th meetingVladislavs Bezrukovs, CIT, Cork.“High-frequency, multiwavelength VLBI observations of BL Lac objects”http://www.lsw.uni-heidelberg.de/projects/enigma/Meetings.html

ENIGMA 7th meeting

101




http://www.ifc.cnr.it/mariecurie/

http://www.arm.ac.uk/asgi/events.html

http://www.arm.ac.uk/asgi/Spring2005/index_idl.htm

http://astro.ucc.ie/asgi2006spring

http://www.arm.ac.uk/asgi/events.html

http://www.radionet-eu.org/rnwiki/EuropeanRadioInterferometrySchool

8-10 May 2006, Hydra, GreeceVladislavs Bezrukovs CIT, Cork.“Analysis of the multi-wavelength polarization VLBI observations of BL Lac objects”http://www.lsw.uni-heidelberg.de/projects/enigma/Meetings.html

ENIGMA 8th meeting6-8 September, 2006, Helsinki, FinlandVladislavs Bezrukovs CIT, Cork, Ireland“ The multi-wavelength polarization VLBI structure of 3 BL Lacertae objects”http://www.lsw.uni-heidelberg.de/projects/enigma/Meetings.html

2nd ENIGMA Winter School18 - 20 Nov 2005, Kinsale, IrelandParticipant.http://www.lsw.uni-heidelberg.de/projects/enigma/school2/index.html

102

http://www.lsw.uni-heidelberg.de/projects/enigma/school2/index.html



CURRICULUM VITAE


Name, surname Gunta BičevskaYear of birth 1957Adress: Rīga, Codes street 52-1Phone: Mob. 28378286, home - 7619970E-mail address: [email protected]

2. EDUCATION:


09/197506/1980

The education obtained: Physicist, lecturerDiploma No. G-1 Nr.313761


09/198009/1983

The education obtained: Master’s Degree in PhysicsDiploma No. Nr. 000200




Envirotech ArcGis 9.1 course II level 09/2005

Microkode “Bentley Microstation level I” 25 hour course 01/2006

HOGSKOLAN I GAVLE Division of Geomatics, Sweden

“Nordic Summer school in GISci” - Geographic Information Science Workshops D. -5 credits

11.06/2006 – 16.06/2006


Language Reading Speaking WritingLatvian 5 5 5English 4 3 3Russian 5 3 3German 2 1 1

5. JOB EXPERIENCE:


01/1993until now


Latvian State University, Institute of Geodesy and Geomatics

Position assistant

103


11/2004until now


Stopini regional government

Position planner


11/2004until now


Department of city development

Position Territorial planner - technician


02/200506/2005


Ventspils University College (Ventspils Augstskola)

Position Guest lecturer


11/2005until now


Riga Technical University, Geomathic department



02/200207/2003


Latvian university of agriculture



01/1994 11/2004


SIA “Datorkarte”

Position Project manager, GIS specialist


09/197601/1993


Observatory of Latvian State University

Position Engineer, junior – research associate


Deal the ESRI users conferences: year 2005. – Warsaw; year 2006. – Athens.Professional Development of Real Estate in Baltic Riga, November 2006.

104

CURRICULUM VITAE

Name: Olgierd DumbrajsBorn: 16 February 1942 in Riga, LatviaCitizenship: LatvianEducation: 1960-1965, Latvian State University, masters

Degree in physics1968-1971, Moscow Sate University, Ph.D.in physics

Work record: 1967-1968, assistant at the Latvian State University1968-1971, post-graduate student at the Moscow State

University1971-1977, research worker at the Joint Institute for

Nuclear Research, Dubna, Russia1977-1978, research worker at the Helsinki University,

Finland1978-1979, research worker at the Institutes for Nuclear

Research in Zurich, Geneva and Paris1979-1980, research professor at the Aarhus University,

Denmark1980-1985, research worker at the Karlsruhe University,

Germany1985-1990, group leader at the Hamburg-Harburg

University, Germany1990-1992, research worker at the Research Center

Karlsruhe, Germany1993-until now, special research worker at the Academy of

Finland1999-2000, guest scientist at the Research Center

Karlsruhe, Germany2002 (three months), guest professor at Fukui University,

Japan2003 (four months), guest professor at Fului University,

Japan2004 (four months), guest scientist at the research Center

Karlsruhe, Germany2005 (three months), guest professor at Fukui University,

Japan2006 (three months), guest professor at Fukui University,

JapanInternational expertise: Member of the International Coordinating Committee for

the Development Program for the Electron Cyclotron Wave Systems for the International Thermonuclear Experimental Reactor

Member of the Experts Group of the Fusion Program of the European Commision

INTAS Project “Frequency runeable microwave sources for plasma applications” coordinator

105

INTAS Project “Development and investigation of novel methods by gyroton efficiency enhancement by means of improved quality of the helical electron beam” participant

In 2005 obtained a 24 months EURATOM fellowship for research topic “Stochastization of magnetic field lines and magnetic reconnection”

In 2005 became a member of the European Plasma Physics Theory Committee

Life member of the American Physical Society

Senior member of IEEE

Foreign member of the Latvian Academy of Sciences

Active referee for the journals: “International Journal of Electronics”, “Physics of Plasmas” and “IEEE Transactions on Plasma Science”

Publications: 168 articles in international scientific journals with referee partice

88 articles in international compilation works and in international scientific conference proceedings with referee practice

1 article as a scientific monograph

11 other scientific publications

3 German patents

Citation index: works cited about 1300 times in world’s scientific journals, Hirsch index 15

106

CURRICULUM VITAE


Name, surname Juris FreimanisYear of birth 1954Adress: Draudzības iela 8 - 119, Kalnciems, Jelgavas rajonsPhone: (+371)-29144160E-mail address: [email protected]

2. EDUCATION:


09/197306/1978

The education obtained: PhysicistDiploma No. П № 709661



4. JOB EXPERIENCE:


02/197707/1978


Radioastrophysical Observatory of the Academy of Sciences of Latvian S.S.R.

Position Senior laboratory worker


08/197808/1979



Position Physicist


09/197911/1980



Position Researcher


11/198011/1983


Leningrad State University

Position Post-graduate student


11/198310/1984

107



Position Physicist


10/198403/1991


Radioastrophysical Observatory of the Academy of Sciences of Latvian S.S.R. / Latvian Academy of Sciences

Position Junior scientific collaborator


03/199107/1994


Kalnciems building materials’ plant

Position Programming engineer


10/199305/1995


Kalnciems town’s municipal enterprise „Namu pārvalde”

Position Chief accountant


05/199505/1996


Radioastrophysical Observatory of Latvian Academy of Sciences

Position The scientific secretary


05/199506/1997


Radioastrophysical Observatory of Latvian Academy of Sciences

Position Research assistant (half-time)


09/199504/1996


Company with limited liability „Laipa”

Position Accountant (part-time)


09/199504/1996


Company with limited liability „Kalnciema koks”

Position Accountant (part-time)


06/199612/2004

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Latvian State Geology Survey

Position Programmer; database programmer; principal database programmer


01/2005


Latvian Environmental, Geological and Meteorological Agency

Position Principal database programmer; database programmer


07/1997


Institute of Astronomy, University of Latvia

Position Research assistant; researcher (part-time)


11/200207/2003


Institute of Atomic Physics and Spectroscopy, University of Latvia

Position Researcher (part-time)


03/2006


Ventspils International Radio Astronomy Center

Position Researcher (part-time)


09/2006


Ventspils University College

Position Associate Professor


1) J.Freimanis. On the spectra of some functions. – „Astronomiya. Chislenniye eksperimenti v nebesnoj mehanike i astrometrii”. No. 13, Riga, Latvian State University, 1978. – pp. 28 – 34 (in Russian).

2) V.M.Loskutov, J.Freimanis. On the single scattering approximation in the problem of transfer of polarized radiation. – „Astrofizika”, 1984, vol. 20, No. 2, pp. 295 – 302 (in Russian). – Translated: „Astrophysics (tr. Astrofizika)”, 1984, vol. 20, No. 2, p. 157.

3) J.Freimanis. Rayleigh scattering in thin spherical envelope. – „Astronomicheskij Zhurnal”, 1985, vol. 62, No. 2, pp. 314 – 322 (in Russian).

4) J.Freimanis. Multiple scattering of polarized light in spherically symmetric media. – „Fotometricheskiye i polarimetricheskiye issledovaniya nebesnih tel”. Kiyev, „Naukova dumka”, 1985. – pp. 128 – 133 (in Russian).

5) J.Freimanis. Point source in infinite media. Rayleigh scattering. – „Nauchniye informacii”. No. 61, Riga, „Zinatne”, 1986. – pp. 95 – 109 (in Russian).

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6) J.Freimanis. Transfer of polarized radiation in homogeneous infinite medium with isotropic point source. – „Dokladi Akademii Nauk SSSR”, 1989, vol. 308, No. 2, pp. 316 – 320 (in Russian).

7) J.Freimanis. On some problems of multiple scattering of polarized radiation. – „Fizika zvezd i galaktik”. Proceedings of the conference of Baltic astronomers in Toravere, May 24 – 27, 1988. Edited by I.B.Pustyl’nik and T.Nugis, Tallinn, 1989. – pp. 11 – 12 (in Russian).

8) J.Freimanis. On the completeness of system of eigenfunctions and adjoint functions of polarized radiative transfer equation. – „Investigations of the Sun and the Red Stars”, 1990, No. 32, pp. 20 – 116 (in Russian).

9) J.Freimanis. Transfer of polarized light in homogeneous isotropic semi infinite medium if the generalized eigenfunctions of transfer equation exist. – “Investigations of the Sun and the Red Stars”, 1993, No. 36, pp. 18 – 84.

10) J.Freimanis. On the Eigenfunction Approach for Radiative Transfer Problems with Spherical Symmetry. – “Physica Scripta”, 1998, vol. T77, pp. 148 – 149.

11) I.Shmeld, J.Freimanis. Calculation of equilibrium molecular abundances near star – forming region. – Proceedings of the Conference “Modern Problems in Stellar Evolution”, October 12 – 16, 1998. Moscow, 1999. – pp. 48 – 51.

12) I.Shmeld, J.Freimanis, N.G.Bochkarev. Calculation of chemical equilibrium in the interstellar cloud. – Odessa Astronomical Publications (Proceedings of the International Gamov School in Astrophysics), 1999, vol. 12, pp. 133 – 135.

13) I.Shmeld, J.Freimanis, N.G.Bochkarev, V.Z.Alakoz. Calculation of the molecular concentrations in the interstellar clouds. – Abstracts of the Joint European and National Astronomy Meeting “JENAM-2000”, Moscow, May 29 – June 3, 2000. Moscow, 2000. – p. 109.

14) J.Freimanis. Polarimetric investigations of open clusters: from observations toward symbiosis with the theory. – Proceedings of the Taiwan – Baltic Workshop "Dynamical and Chemical Evolution of Star Clusters", November 24 – 28, 2003. National Central University, Taiwan, 2003. – pp. 170 – 183.

15) J.Freimanis. On Green’s function for spherically symmetric problems of transfer of polarized radiation. – “Journal of Quantitative Spectroscopy and Radiative Transfer”, 2005, vol. 96, Issue 3 – 4, pp. 451 – 472.

On January 22, 1997 the promotional work „Multiple Scattering of Polarized Radiation in a Medium” was defended in the Habilitation and Promotional Council of the University of Latvia, obtaining the scientific degree – Doctor of Physics (Dr.phys.), diplom C-D № 001375.

110

CURRICULUM VITAE

Dr. Leonid GurvitsPresent position: Head of Group, RadioNet Project Scientist, Senior ScientistCurrent address: Joint Institute for VLBI in Europe, Postbus 2, 7990 AA Dwingeloo,The Netherlandstel.: +31-(0)521–596514 office+31-(0)528–272986 homefax: +31-(0)521–597332e-mail: [email protected] and place of birth: 17 January 1956, Moscow, USSR

Education:M.Sci. in Aerospace Engineering, Moscow Aviation Institute, 1979M.Sci. in Astronomy, Moscow State University, 1979Ph.D Tutorial in Radio Astronomy, Space Res Institute, Moscow, 1983Ph.D. in Astrophysics, Lebedev Physical Institute, Moscow, 1991

Field of specialization:Extragalactic As trophysics, Very Long BaselineInterferometry, Space Science, Space-borne Astronomy,Radio Astronomy Instrumentation, Planetary Science

Employment:1979–90 – Engineer, Junior Researcher, Researcher,Dept. of Astrophysics, Space Research Institute, Moscow1990–93 – Head of Laboratory, Scientific Secretary, Member of Directorate,Astro Space Center of Lebedev Physical Institute, Moscow1992–94 – Visiting Scientist – Research Associate, AreciboObservatory, Cornell University, Arecibo, Puerto Rico, USA1994– pt – Project Scientist, Programme Manager, Project Manager, SeniorScientist, Head of Group, JIVE Management Team (Directorate) member,Joint Institute for VLBI in Europe, Dwingeloo, The Netherlands1997 – Visiting Professor, Institute for Space and AstronauticalSciences, Sagamihara, Japan

Professional activities:VLBI studies of extragalactic radio sources, cosmological tests;Surveys of extragalactic radio sources;Design studies, project implementation, science operations and managementof Space VLBI missions (VSOP/HALCA, VSOP–2/Astro–G);Square Kilometre Array Design Studies;VLBI tracking of interplanetary missions – Project Manager of Huygens VLBItracking project, Smart-1 radio astronomy supportManagement of large international scientific projects (EC FP4, FP5, FP6projects in the area of radio astronomy);Supervision of M.Sci and PhD studies (3 PhD theses defended in 2000 –2001; one PhD project to be completed in 2008);Science outreach (more than 200 popular lectures, more than 30 popularpublications, radio and TV documentaries)

Publications: more than 100 papers published in international refereedjournals and proceedings of international conferences.

Membership of professional organizations:American Astronomical Society since 1992;

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Nederlandse Astronomenclub since 1994;International Astronomical Union (IAU) since 1997 (SOC Div XI since 2003);COSPAR Associate since 1998;Corresponding member, International Union of Radio Science (URSI) since 2000.

Awards:International Academy of Astronautics (IAA) Team Achievement Award 2005;Publications of the Astronomical Soc. of Japan Excellent Paper Award 2005;JAXA Certificate of Appreciation 2006 (VSOP/HALCA Mission);NASA Group Achievement Award 2006 (Huygens Doppler Wind Experiment).

Several major publications by L.I. Gurvits:Gurvits L.I., Mitrofanov I.G., 1986, “On the Perturbation of the Background Radiation by aMoving Gravitational Lens'', Nature 324, 349Gurvits L.I., 1994, `Àpparent milliarcsecond sizes of AGN and the geometry of theUniverse'', Astrophys. Journal 425, 442Gurvits L.I., Schilizzi R.T., Miley G.K., Peck A., Bremer M.N.,Röttgering H., van Breugel W., 1997, `À compact radio component in 4C41.17 at z=3.8: amassive clump in a forming galaxy?'', Astronomy & Astrophys. 318, 11Gurvits L.I., Kellermann K.I., Frey S. 1999, ``The `àngular size - redshift'' relation forcompact radio structures in quasars and radio galaxies'' Astronomy & Astrophys 342, 378Gurvits L.I., Frey S., Schilizzi R.T., Kellermann K.I., Lobanov A.P.,Kawaguchi N., Kobayashi H., Murata Y., Hirabayashi H., Pauliny-TothI.I.K, 2000, ``Dual-frequency VSOP observations of extremely high redshift quasars'',Advances in Space Research 26, 719Frey S., Gurvits L.I., Altschuler D.R., Davis M.M., Perillat P., Salter C.J., Aller H.D., AllerM.F., Hirabayashi H., 2000, ``Dual Frequency VSOP Observations of AO 0235+164'',Publications of the Astron. Society of Japan (PASJ), 52, 975Lobanov A.P., Gurvits L.I., Frey S., Schilizzi R.T., Kawaguchi N., Pauliny-Toth I.I.K., 2001,``VSOP observation of the quasar PKS 2215+020: a new 'core-jet' laboratory at z=3.57”Astrophys Journal 547, 714Gurvits L.I., 2003, ``VLBI in the next decades: exploring the microjansky radio sky with asub-milliarcsecond angular resolution'', in New Technologies in VLBI, ed. Y.C. Minh, ASP, v.306, 303Gurvits L.I., 2004, ``Christiaan Huygens, Huygens the probe and radio astronomy'', in Titan:from Discovery to Encounter, ESA SP–1278, 408Pogrebenko S.V., Gurvits L.I., Campbell R.M., Avruch I.M., Lebreton J.-P., van't KloosterC.G.M., 2004, ``VLBI tracking of the Huygens probe in the atmosphere of Titan'', inPlanetary Probe Atmospheric Entry and Descent Trajectory Analysis and Science, ed.A.Wilson, ESA SP–544, 197Lebreton J.-P., Witasse O., Sollazzo C., Blancquaert T., Couzin P., Schipper A.-M.,Jones J.B., Matson D.L., Gurvits L.I., Atkinson D.H., Kazeminejad B., Pérez-Ayúcar M.,2005, `Àn overview of the descent and landing of the Huygens probe on Titan'', Nature,438, 758Bird M.K., Allison M., Asmar S.W., Atkinson D.H., Avruch I.M., Dutta-Roy R., Dzierma Y.,Edenhofer P., Folkner W.M., Gurvits L.I., Johnston D.V., Plettemeier D.,Pogrebenko S.V., Preston R.A., Tyler G.L., 2005,”The vedrtical profile of winds on Titan'',Nature 438, 800Gurvits L.I., 2007, “Compact extragalactic sources in the SKA sky: liabilities or assets”,in Cosmology, Galaxy Formation and Astroparticle Physics, eds. H.-R. Klöckner, M. Jarvis,S. Rawlings, Oxford U Press, in press.

112

CURRICULUM VITAE

1. First name, last name:Galina Hilkevich

2. Personal Code:140254-10223

3. Birth data: February 14, 1954

4. Nationality, citizenship:Russian, Latvian citizenship

5. Education:1981 – graduated from post graduate courses at Department of Differential Equations, Faculty of Mathematics and Mechanics of Moscow State University.1971 – 1976 – with honour graduate from Department of Differential Equations, Faculty of Mathematics and Mechanics of Moscow State University.

6. Academic titles and scientific degrees:

Ph.D. in mathematics (1985), LR Doctor of Sciences (1992)

7. Work experience:2005 – Ventspils University College, Head of Department of Mathematical Modelling 2005 – Ventspils University College, Dean of Faculty of Information Technologies2003 – Ventspils University College, Docent1981 – 2003 Daugavpils University, Lecturer, Senior Lecturer, Docent

8. Academic Courses:Mathematical Analysis, Mathematical Logic, Differential Equations, Partial Differential Equations, Calculation methods, History of Mathematics, Selected topics of mathematics, Equations of Mathematical Physics.

9. Scientific Research work: Pseudoparabolic Differential Equations

10. Publications:Total amount of published articles – 22.

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CURRICULUM VITAE

1. First name, last name:Yuris Roberts KALNIN

2. Personal Code:280142 - 12958

3. Birth data:January 28, 1942

4. Nationality:Latvian

5. Education:Dr habil.phys.(Doctor of Science in former USSR), Institute of Physics, Latvian Academy of Sciences, 1983Dr.phys. (Candidate of Science in former USSR, Ph.D. in Western countries), Institute of Physics, Latvian Academy of Sciences, 1972 University of Latvia (Faculty of Physics), 1965

6. Academic titles and scientific degrees:Dr habil.phys.(Doctor of Science in former USSR), Institute of Physics, Latvian Academy of Sciences, 1983Dr.phys. (Candidate of Science in former USSR, Ph.D. in Western countries), Institute of Physics, Latvian Academy of Sciences, 1972

7. Work experience:2005. –assoc. prof. in Ventspils University College2005. – Head of Engineering Research Center 1998 -Vice-Rector, Social Technology Institute, Riga1990 - Professor, Department of Theoretical Physics, University of Latvia, 1996 - 1998 Deputy State Secretary, Ministry of Education and Science of the Republic of Latvia 1995 - Leading Researcher, Institute of Solid State Physics, University of Latvia, 1990 -1995 Head of Theoretical Group, Microelectronics Centre, Latvian Academy of Sciences1966-1988 Researcher, Leading Researcher, Institute of Physics, Latvian Academy of Sciences

8. Academic Courses:University of Latvia:Theoretical Physics (Theory of Conensed Matter, Chaos Theory, System Dynamics Modelling (University of Latvia) Social Technology Institute: Mathematical Modelling in Business, Mathematical Statistics Ventspils Ubiversity College:Numerical Mathematics, Calculus of Variations, Numerical Methods of Algebra, Numerical Methods of Analysis

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9. Scientific Research work: The head of EU project Phare: “Electronic and electrotechnics sector development project”, 2005Conference „Diffusion Fundamentals I Basic Principles of Theory, Experiment and Application”, September 22nd - 24th, 2005, Leipzig The effective diffusion coefficient for heterogeneous media. E.Kotomin, J.R.Kalnin, J. Maier - Abstr. 85th Bunsen Colloquim on Atomic Transport in Solids .Giessen, October 2003, p.25.“Knowledge Management in Public Administration:case study EU Project “Hyper knowledge”.J. Mikelsons, G. Jirgensons, J.R. Kalnins, A. Kapenieks, M. Kazakovs, J.Stirna. I.Vanaga, B. Zuga. Ventspils University College International Conference. "Information Society and Modern Business" 30.01 - 01.02.2003.Y.R.Kalnin (Head of Project). Study of the Many-Particle Effects and Processes During the Bimolecular Reactions in Condensed Matter. Latvian Council of Science (1996- ) Y.R.Kalnin (Scientific Coordinator). EU Project: Hyper Knowledge, 2001- 2003Y.R.Kalnin (Head of Project)The kinetics of Catalytic Surface Reactions and Self-Organization Phenomena in Advanced Materials. Latvian Council of Science (2001 - ) ”A Hyperknowledge Project for the Riga City Council”. J.Mikelsons, J.Stirna, J.R.Kalnins, A.Kapenieks, G Jirgensons. Baltic IT&T Review. Nr. 3(22), 2001, p. 39-40. “Calculation of the effective diffusion coefficient for heterogeneous media”. J.R. Kalnin, E.A. Kotomin, J. Maier, and V.N. Kuzovkov. Int. Y.R.Kalnin (Head of Project). Self-Organization Phenomena and Non-linear Processes in Condensed Matter. Latvian Council of Science (1993-1996)

10. Publications:J. Jamnik, J.R. Kalnin, E.A. Kotomin, and J. Maier. „Calculation of the Generalised Maxwell-Garnett equation: application to electric and chemical transport” Phys. Chem. Chem. Phys., 2006, 8, 1310–1314.Ozolins, Gints, Juris Kalnins „ Systems Thinking for Research and Development Policy Impact Assessment in Latvia. Proceedings of The 24th International Conference of the System Dynamics Society, July 23-27, 2006 Nijmegen, The Netherlands, p.98. (1-14). J.R.Kalnin, V.Bardacenko, S.Hilkevics.„Fluctuations and control in management Thesis of the 4rd International Confernce “Information Technologies and Management”,p. 64-65. April 11-12, 2006, Information System Institute, Riga, Latvia. J.R. Kalnin, E.A. Kotomin, J. Maier, and V.N. Kuzovkov. “Calculation of the effective diffusion coefficient for heterogeneous media”. Int. Conference „Diffusion Fundamentals I Basic Principles of Theory, Experiment and Application”, September 22nd - 24th, 2005, Nr. 2, p 24.J.R.Kalnin, E.A.Kotomin, J.Maier. Calculations of the effective diffusion coefficient for inhomogeneous media. - J.Phys. Chem.Solids, 2002, vol.63, pp.449-456.

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J.R.Kalnin, E.A.Kotomin. A novel relation for the effective diffusion coefficient in inhomogeneous media. - Computer Modelling and New Technologies (Latvia), 2001, vol.5, No1, pp.18-27. Yu.R.H.Kalnin, E.A.Kotomin, G.Zvejnieks. The diffusion-controlled energy transfer rate for a paired sink distribution and donor-acceptor interaction.- Phys.Stat.Sol. (b), 1997, vol.201, pp.339-342. Yu.R.H.Kalnin, G.Zvejnieks, E.A.Kotomin. The effect of particle generation function on the rate of diffusion-controlled A+B=B reaction with a permanent particle source. - Chem.Phys.Lett., 1997, 270, pp.229-233. Yu.R.H.Kalnin, G.Zvejnieks. Effective reaction rate dependence on particle generation functions in two-dimensional case. - Latvian Journal of Physics and Technical Sciences, 1996, 5, pp. 57-64. Yu.R.H.Kalnin, E.A.Kotomin. Many-particle pecularities in the A+B=B bimolecular reaction kinetics. The effect of sink spatial distribution. - J. Phys.: Condens. Matter, 1996, 8, pp.6729-6735. Yu.H.Kalnin, E.A.Kotomin. A comparison of the effective medium and modified Smoluchowski equation for the reaction rate of diffusion-controlled reactions. - J.Nuclear Matter, 1996, pp.199-201. Yu.H.Kalnin. Diffusion-controlled defect reactions and energy transfer at arbitrary sink distribution. In: Defects in Insulating Materials, Singapore: World Scientific Publ., 1993, 932pp. Yu. H. Kalnin, P.Zapol. Effective diffusion coefficient and diffusion-controlled reactions in solids with defects. - Rad. Effects and Defects in Solids, 1995, vol.137, pp.295-300. V.L.Vinetskii,Yu.Kalnin,E.A.Kotomin,A.A.Ovchinnikov.Radiation-induced Frenkel defect aggregation in solids (review article).- Sov. Phys. -Uspekhi, 1990, vol.160, 10, pp.1-33 (in Russian).

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CURRICULUM VITAEMārtiņš Kriķis

Biķernieku 81–36 E-mail: [email protected]īga, LV-1039, Latvia Home: +371 7564219, Mobile: +371 25500824

1. EDUCATION

Ph.D., Yale University, New Haven, Connecticut, USA, December 1997Computer Science • Dissertation area: Computational Learning TheoryB.S., University of Latvia, Riga, Latvia, June 1991Applied Mathematics • With distinction • 5-year degree

2. COMPUTER SKILLS

Programming and • C, C++, Perl, Java, Assembly (ARM, i386, IBM360, Markup Languages Sym53C1010-SCRIPTS), JavaScript, Lisp, Bash, GNUmake,

TCL, Lex, Yacc, Sed, SQL (Sybase, Oracle), HTML, TEX/LATEX, METAPOST, Pascal, Prolog, PL/1, SDL+, REXX, etc.

Operating Systems • GNU/Linux, IxWorks, NetBSD, Solaris, HPUX (11, 10.20), OSF1, AIX, Windows, NextStep, VMS, DOS, VM/CMS, IBM 360 OS, etc.

Standards, Protocols, • PCI, SCSI, iSCSI, SAS, SATA, RAID, TCP/IP, I2O, Pthreads,Technologies CORBA, Jini, HTTP, CGI, CVS, ClearCase, etc.

3. WORK EXPERIENCE

Senior Software/ Intel Massachusetts, Jan. 2001 – Aug. 2005Firmware Engineer • Developed and maintained the 0.1.x series of iswraid—Intel

Software RAID driver for 2.4 series Linux kernels, supporting RAID0, RAID1E, RAID5, multiple volumes per array, degraded operation, /proc filesystem, load time parameters, and containing a wide range of performance-enhancing and stability-ensuring features. The driver is available at http://iswraid.sourceforge.net under GPL.• Designed and developed a threaded, modular, TCP/IP-based SAS/SATA target simulator, capable of simulating a wide range of device topologies consisting of SATA disks, SAS disks and expanders. The simulator allowed fine tuning of its behavior, including several options for relaxing the specification requirements for the connected initiators and many options that influenced timers, data fragment sizes and SCSI behavior. Parameter specifications loosely resembled the C programming language and allowed complex hierarchies of parameters based on structures and multi-dimensional arrays. Each simulated device provided an error injection interface for input/output object filtering and modification based on pattern-matching or immediate commands.• Ported and maintained the IxWorks I2O RTOS board support platforms (BSPs) for several customer reference boards based on the Intel XScale 8033x and 8134x IO-processors (IOPs);

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maintained the IxWorks BSP for the 80321 IOP. Extended the 8033x BSP to utilize the new hardware-assisted interrupt service routine dispatch and wrote a new Application Accelerator Unit library in order to take advantage of the P+Q and dual-XOR capabilities. Implemented optimized Galois field arithmetic routines for pure-software RAID6 implementations. Enhanced the stackless ARM-assembly MCU initialization code to handle the wide range of DIMM types that the 8033x IOP supports. Designed and developed the XScale core performance monitoring unit hardware driver module and its associated GUI.• Created a whitepaper on iSCSI CRC32C code optimization for Intel XScale processors, hand optimizing the ARM-assembly code to provide performance exceeding that of a Pentium III Xeon processor of similar core frequency; outlined an algorithm for a parallel implementation of the CRC32C computation.• Participated in the IPS working group during its work on the iSCSI specification. Influenced decisions leading to improvements in the fixed interval marker negotiation; fought for resolving several ambiguities in the early drafts, such as the one regarding the no-renegotiation rule. Was the author of the idea and the lead person fighting for the introduction of the C-bit in Login and Text Requests, allowing significant simplifications to text negotiation processing, including batchprocessing of parameter values.• Reworked an existing iSCSI Target proof-of-concept Linux kernel module code to provide support for real SCSI devices, allow the use of the /proc file system for parameter maintenance, provide SMP-safe operation and clean module unloads, eliminate kmalloc-s in performance path and integrate a C++-based memory management module. Altered the PDU encapsulation/decapsulation code and implemented generic parameter negotiation code using the “batched” approach. Collaborated on a design for an event-based iSCSI target kernel module.• Investigated a NULL-byte-enable problem with 64-bit writes to the Sym53C1010 chip using a PCI analyzer; created a workaround in the LSI 1010-series SCSI SCRIPTS code for the LSI 1010 IxWorks HDM to overcome the problem.

Principal Kenan Systems/Lucent Technologies, June 1997 – Dec. 2000Software Engineer • Designed and implemented a control module for a billing system,

consisting of UNIX network daemons communicating with each other and with Java-based GUI clients using both push and pull methods for updates. This module was integraded with cron and at services, POSIX message queues and Sybase or Oracle databases; it was capable of launching, stopping and monitoring its own and other billing system processes, and of serving its own GUI via a built-in simple webserver with CGI capability. Collaborated on similar projects based on Jini and CORBA; participated in the design of other billing modules.

Teaching Assistant Department of Computer Science, Yale University, Jan. 1992 – May 1996

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• “Introduction to Systems Programming” • “Design and Analysis of Algorithms” • “Data Structures and Programming Techniques” • “Models of Computation”

Software Engineer Computer Laboratory, University of Latvia, Sept. 1989 – Aug. 1991• Collaborated on design and implementation of data base systems using FoxPro, C and Assembly in MS-DOS environment; wrote simple device drivers.

Programmer Institute of Mathematics and Computer Science, Latvia, Nov. 1989 – May 1990• Implemented a demo-program exhibiting finite automata and regular languages using Prolog, REXX and Assembly in VM/CMS environment.

4. MAIN PUBLICATIONS• “Learning from Different Teachers” (Machine Learning, 51:137–163, 2003, with Dana Angluin)• “Malicious Omissions and Errors in Answers to Membership Queries” (Machine Learning, 28:211–255, 1997, with Dana Angluin, Robert Sloan and Gy¨orgy Tur´an)• “From Malicious to Random Errors—the Bottle Shooting Game” (YALEU/DCS/-TR-1131, May 97, with Dana Angluin)• “Inductive Inference of Total Recursive Functions by Probabilistic and Deterministic Strategies” (YALEU/DCS/TR-936, Nov. 1992, with Rūsiņš Freivalds)

5. OTHER

Math Competitions • 1st and 2nd place, USSR Student Math Competition, 1986 and 1985, resp.

Languages • Fluent in English, Latvian and RussianInterests • Nordic skiing, rock climbing, whitewater kayaking

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CURRICULUM VITAE


Name, surname Pēteris MisānsYear of birth 1953Adress: Āzenes street 12,

Faculty of Electronics and Telecommunications,Technical University of RigaLV-1048Riga, Latvia

Phone: +371 29135489 E-mail address: [email protected]

2. EDUCATION:

Educational establishment Lielvārdes gymnasiumDate: from (mm/yyyy) until (mm/yyyy)

09/196006/1971

The education obtained: Secondary educationDiploma No.

Educational establishment Polytechnics Institute of RigaDate: from (mm/yyyy) until (mm/yyyy)

09/197106/1976

The education obtained: Higher – engineer, radio electricianDiploma No.

Educational establishment Polytechnics Institute of RigaDate: from (mm/yyyy) until (mm/yyyy)

04/197904/198206/1985 – present dissertation

The education obtained: Residency – doctor’s degree of science in radioelectronics

Diploma No. Dr. sc. ing., B-D Nr.000278




Technical College of Lunda University (Sweden)

Probation about signal processing problems in telecommunication

03/1994 07/1994

Technical University of Ljubljana (Slovenia)

Summer school/courses about reconfigurational IS projecting

08/2003 08/2003

Technical University of Warsaw (Poland)

Summer school/courses Ans04 in Krakow about analog IS projecting

09/2004 09/2004

Slovakian Technical University in Bratislava (Slovakia)

Summer school/courses Soc04 about problems in System on Chip

09/2004 09/2004

Technical University of Summer school/courses 10/2004

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Warsaw (Poland)BASCAD04 in Warsaw about analog IS projecting in CADENCE

10/2004


Language Reading Speaking WritingLatvian 5 5 5Russian 5 5 5English 4 4 4German 3 2 2Swedish 1 1 1

5. JOB EXPERIENCE:


09/1976 06/1982


Polytechnics Institute of Riga, Faculty of Radiotechnique and Communication

Position Scientist – research associate


07/1982 09/1986


Polytechnics Institute of Riga, Faculty of Radiotechnique and Communication, Calculating center

Position Mathematician - programmer


10/1986 05/2003


Polytechnics Institute of Riga, Faculty of Radiotechnique and Communication, Department of Theoretical Radiotechnique, RTU, ETF, Department of Basics of Electronic

Position Lecturer, docent, asoc.prof.


04/1998 12/2003


Latvian State University, Mathematics and Informatics Institute

Position Researcher/consultant


05/2003until now


RTU, Faculty of Electronic and Telecommunication (ETF), Department of Basics of Electronic

Position professor


04/2001 12/2005


RTU, ETF

Position Deputy dean in research work

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Publications:1. P. Misāns, C valoda piemēros. Lekciju izdrukas kursam "Datoru mācība", 1994.-

1997.g., 60-70 lpp. 2. P. Misāns, Programmēšanas ābece C valodā. Lekciju palīgmateriāls kursam

"Datoru mācība" 1999.g.-2001.g. – 30 lpp. 3. P.Misāns, Darbs ar MATLAB. Palīgmateriāls kursiem AEM208, RTR530, RTR532,

1995-1999.g., ≈150 lpp. 4. P.Misāns, Skaitlisko metožu elementi. Lekciju konspekta izdrukas, 1995.-1999.,

≈100 lpp. 5. P.Misāns, Ievads inženiermatemātikas datorrealizācijā. Lekciju konspekta

konspekts (daidžests) 1999.-2001.g., 24 lpp. 6. P.Misāns, Pirmie soļi ar MATLAB. "Dzīvās" lekcijas kopijas, 2002, 42 lpp. 7. P.Misāns, Ievads inženiermatemātikas datorrealizācijā. "Dzīvās" lekcijas kopijas,

2002, 48 lpp. 8. P.Misāns, Signālu pārveidošana radioelektroniskajās sistēmās. Lekciju konspekta

izdrukas, 1994-2001.g. 56-80 lpp. 9. P.Misāns, Adaptīvās filtrācijas pamati. Lekciju konspekta izdrukas, 2000.-2002.g.

60 lpp. 10. P.Misāns, Funkcionālo un loģisko shēmu modelēšana. Lekciju konspekta izdrukas,

1999.-2003.g. 60 lpp.

About 40 research publications. 18 presentations in international conferences from year 1995 until 2006.

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CURRICULUM VITAE


Name, surname Edgars MukinsYear of Birth 1948Address Gertrudes street 31-6, Riga. LV – 1011, LatviaPhone: 29415315E-mail address: [email protected]

2. EDUCATION:

Educational establishment Moscow UniversityDate: from (mm/yyyy) until (mm/yyyy)

09/196601/1972

The education obtained: AstronomerDiploma No. Y Nr. 745847

Educational establishment Unversity of LatviaDate: from (mm/yyyy) until (mm/yyyy)

05/1993

The education obtained: Mag.Phys.Diploma No. Nr. 000233


Language Reading Speaking WritingLatvian 5 5 5English 5 4 4German 4 3 3Russian 5 4 4

4. JOB EXPERIENCE:


03/1972 01/1994


Astronomical observatory, Latvian State University

Position Junior research worker


02/1994 02/2007 and continuing


Institute for Geodesy & Geoinformation, University of Latvia

Position Researcher, Deputy director


04/1993 05/2005


Department of Geography and Earth sciences, University of Latvia

Position Lecturer

123



04/1993 05/2005


DatorKarte SIA [limited liability company]

Position Projec manager, Chairman of the board


06/2005 02/2007 and continuing


TerraData Latvia SIA [limited liability company]

Position Programmer, Member of the board


18 research publications.

124

CURRICULUM VITAE


Name, surname Juris OzolsPhone: +371 703764E-mail address: [email protected]

2. EDUCATION:

Educational establishment Latvian State University, Faculty of Physics and Mathematics

Date: from (mm/yyyy) until (mm/yyyy) 1998The education obtained: Docents diploma


Date: from (mm/yyyy) until (mm/yyyy) 1994The education obtained: Dr. phys.


Date: from (mm/yyyy) until (mm/yyyy) 1993The education obtained: Master’s degree in Physics

3. JOB EXPERIENCE:


19881993


Latvian State University, Faculty of Physics and Mathematics

Position Senior teacher


19931998


Latvian State University, Faculty of Physics and Mathematics

Position Lecturer


1994until now


Latvian State University, Institute of Astronomy

Position Researcher, lead researcher


1998until now

125



National Standardization and Meteorology center of Latvia

Position Committee - man


1998until now



Position Docent


15 articles in scientifically journals (Solid State Communications, Journal of Magnetic Resonances, Latvijas Fizikas un tehnikas žurnāls, Приборы и техника эксперимента u.c.) and issues of publications, abstracts, certificate of authorship.

Co-author of 2 textbooks in Electronics.Co-author of 2 textbooks in Computer sciences.

126

CURRICULUM VITAE

RANTA Serban Radu

Address: 108 rue Nancy Telephone: +33 (0)38359570954230, Maron Fax: +33 (0)38359564

E-mail: [email protected]

Birth date: 08/03/1970Birth place: Turda (Romania)Nationality: French, RomanianMarital status: Married

Education:

2000 – 2003 PhD obtained at the National Polytechnic Institute of Lorraine (Institut National Polytechnique de Lorraine – INPL), speciality Automatics and Signal Processing: «Processing and analysis of physiological sound signals. Application in phonoenterography»Centre de Recherche en Automatique de Nancy CRAN UMR INPL-UHP-CNRS 7039

1999 – 2000 DEA INPL (master degree) in Automatics and Signal Processing«Source separation. Application in physiological sounds» Centre de Recherche en Automatique de Nancy CRAN UMR INPL-UHP-CNRS 7039

1989 – 1994 Engineering diplom in Automatics Faculty of Automatics and Computers / Polytechnic University of Bucharest (Romania)

1984 – 1988 Baccalaureate (mention 7,74/10)«Gh. Lazar» high-school Bucharest (Romania)

Professional experience:

2004 – … Assistant professor (Maître des Conférences) - Teaching (Labs, Seminary, Courses, Project driving) – ENSEM – INPL- Research in Biomedical engineering – CRAN

2003 – 2004 Temporary assistant (research and teaching) - Labs and seminaries in Automatics and Electronics – ENSEM – INPL- Final project driving for engineering students – ENSEM – INPL

2000 – 2003 PhD studentCRAN – INPL

2000 – 2003 Temporary partial time teaching assistant- Seminaries in Informatics, Instrumentation, Automatics – EEIGM – INPL

1994 – 1999 Engineer in Automatics (industrial informatics / maintenance)

127


SANEX – Cluj-Napoca (Romania), Pro-Hydraulic – Cluj-Napoca (Romania)

Other education:

2001 – 2003 Pedagogical formation stages (10 days / year)CIES Lorraine, Nancy / Metz Academy

2-4 Mai 2000 Summer school: “From source separation to independent component analysis. Methods, algorithms and applications” (NSI, LIS Grenoble) Villard de Lans (Isère)

1996 Professional stage in industrial informatics Bernecker & Rainer – Eggelsberg (Autriche)

Other professional experience:

1991 – 1994 Partial time journalist, «Nu (No)» weekly – Cluj-Napoca (Roumanie)

Informatics skills:

Systems: Windows, MS-DOS, Linux.

Programming: Matlab, basics in C, Pascal

Software: - office: LaTeX, Word, Excel, PowerPoint.- scientific: Matlab, basics in Labview, VHDL, Verilog- others: industrial programming: PLC Omron, Bernecker & Rainer.

Spoken languages:

French (fluent)English (fluent) Romanian (native) Spanish, Italian (basics)

128

CURRICULUM VITAEPERSONAL INFORMATION

Name RYABOV, BorisAddress Ropazu 5 - 13, Riga, LV-1039, Latvia

Telephone +371 - 755 12 78, +371 - 703 45 85 Fax +371 - 782 11 53, +371 - 782 01 80

E-mail [email protected] Nationality Russian

Date of birth 05.11.1951

WORK EXPERIENCE• Dates 1997 to date

• Name and address of employer Institute of Astronomy of the University of Latvia Rainis Boulevard 19, LV-1586, Riga, Latvia

Telephone +371 - 703 45 85 Fax +371 - 782 01 80

• Occupation or position held Senior Researcher • Main activities and responsibilities Coordination and analyses of solar observations taken with the RT-32 radio telescope.

• Dates 1998 to date • Name and address of employer Ventspils International Radio Astronomy Center

Akademijas laukums 1, LV-1050, Riga, Latvia Telephone +371 - 722 83 21

Fax +371 - 782 11 53• Occupation or position held Senior Researcher

• Main activities and responsibilities Model analyses of solar polarization observations taken with the radio telescopes RATAN-600, SSRT, NoRH, VLA. Student advising.

• Dates 1994 – 1996, 1991 – 1998, 1980 – 1986 • Name of employer Radioastrophysical Observatory, Latvian AS

• Occupation or position held Leading Researcher • Main activities and responsibilities Model analyses of the local microwave sources on the Sun.

• Dates 1992 – 1993 • Name of employer Special Astrophysical Observatory, Russian AS

• Occupation or position held Visiting Scientist • Main activities and responsibilities Review current solar observations taken with the new Panoramic Spectra Analyzer of

the radio telescope RATAN-600.

• Dates 1984 – 1987, 1977 – 1979, 1974 – 1976 • Name of employer Main Astronomical Observatory (Pulkovo)

• Occupation or position held Visiting Scientist, Ph.D. Student, Assistant (work on probation). • Main activities and responsibilities Model analyses of coronal holes, young Latvian astronomers advising. Solar

observations with the RATAN-600 and the BPR, model construction and simulation of gyro resonance emission and quasi-transverse propagation of microwaves. Data reduction of the BPR solar observations.

EDUCATION AND TRAINING• Dates 1983

129

• Name and type of organization Main Astronomical Observatory, Leningrad, USSR

• Principal subject Ph.D. Thesis: “Model simulations of the sunspot magnetic fields in the solar corona on

130

the base of radio observations of the local sources on the Sun” • Title of qualification awarded Ph.D., Astronomy

• Dates 1977 - 1979 • Name and type of organization providing education and training

Main Astronomical Observatory, Leningrad, USSR (Pulkovo Astronomical Observatory, St. - Petersburg, Russia)

• Principal subjects Astronomy under Prof. G.B. Gelfreikh supervision • Title of qualification awarded Ph.D. student

• Dates 1969 - 1974• Name and type of organisation providing education and training

Mathematics and Mechanics DepartmentLeningrad State University, Leningrad, USSR

• Principal subjects Mathematics, Astronomy, Astrophysics • Title of qualification awarded M.Sc., Astronomy, M.Sc. Thesis: “Model … ”

PERSONAL SKILLSAND COMPETENCES

LANGUAGESMOTHER TONGUE Russian

OTHER LANGUAGESEnglish

• Reading skills good • Writing skills good • Verbal skills good

Latvian • Reading skills good

• Writing skills basic • Verbal skills excellent

CONTRACTS AND PROJECTS Latvian Council of Science (LCS) - “Solar Investigations on the Basis of the VIRAC 32-m Radiotelescope”, 96.0129, 1997 - 2000, PI. - “Solar Investigations at Microwaves”, 01.0042.6.1, 2001 - 2004, CR. International Association for the promotion of co-operation with scientists from the New Independent States of the former Soviet Union (INTAS)

- “Solar Coronal Magnetography”, INTAS 00 - 0181, 2001 - 2003, CO. - “Study of the MHD Oscillations in the Solar Active Regions Using Radio Observations”, INTAS 00 - 0543,

2001 - 2004, CR. International Science Foundation (ISF)

- “Three-Dimensional Structure of the Coronal Magnetic Fields of Active Regions on the Sun”, LFB000, 1994 - 1995, PI.

COMPUTER EXPERIENCE Fortran, IDL, HTML, LaTeX.

DRIVING LICENCE since 1998

ANNEXESRESEARCH INTERESTS

Solar coronal magnetography - Improve the technique of coronal magnetography relating to the data taken with the radio telescopes RATAN-600, Nobeyama Radio Heliograph (NRH), Siberian Solar Radio Telescope (SSRT), and Very Large Array (VLA).

131

- Analyze the series of the coronal magnetograms of active regions to investigate MHD oscillations and topological peculiarities in coronal magnetic structures. Large - scale coronal structures - Evaluate the magnetic field strength, plasma density and temperature within coronal holes, coronal streamers, and coronal loops by means of radio spectral polarization observations with the radiotelescopes RATAN-600 and VLA. - Elaborate numerical models (thermal radiation and propagation of microwaves) to analyze radio observations comprehensively and predict new features of large-scale coronal structures.

SELECTED PUBLICATIONS1. Ryabov B.I., Maksimov V.P., Lesovoi S.V., Shibasaki K., Nindos A., Pevtsov A. Coronal magnetography of solar

active region 8365 with the SSRT and NoRH radio heliographs.- Solar Physics, 2005, v.226, N2, p.223-237. 2. Bezrukov D.A., Ryabov B.I., Bogod V.M., Gelfreikh G.B., Maksimov V.P., Drago F., Lubyshev B.I., Peterova

N.G., Borisevich T.P. On the technique of coronal magnetography through quasi-transverse propagation of microwaves.- Baltic Astronomy, 2005, v.14, N 1, p.83-103.

3. Ryabov B. I., Bogod V. M., Gelfreikh G. B., Maksimov V. P., Drago F.,Lubyshev B. I., Peterova N. G., Borisevich T. P., Bezrukov D. A. Coronal magnetograms of solar active regions.- Proceedings of the International Astronomical Union Symposium No.223, 2004 "Multi-Wavelength Investigations of Solar Activity", A.V. Stepanov, E.E. Benevolenskaya, A.G. Kosovichev ed-s, v. 2004, Issue IAUS 223, November 2004, p.215-218.

4. Boris Ryabov Coronal magnetic field measurements through quasi-transverse propagation.- Chapter 7 in Kluwer ASSL book "Solar and Space Weather Radiophysics", Current Status and Future Developments Series, v. 314., Ed.-s Dale E. Gary and Christoph U. Keller, 2004.

5. Bogod V.M., Gelfreikh G.B., Drago F.Ch., Maksimov V.P., Nindos A., Kaltman T.I., Ryabov B.I., Tokhchukova S.Kh. Study of polarized emission of the NOAA 9415 flare-productive active region at microwaves.- “ASTROPAGE”, 2003, paper: astro-ph/03009444, http://lanl.arxiv.org/abs/ astro-ph/?astro-ph%2F0309444

6. Peterova N.G., Ryabov B.I., Tokhchukova S.Kh. A peculiar microwave source in the structure of the NOAA 8108 AR from observations with RATAN-600. - Bulletin of Special Astrophysical Observatory, 2001, v.51, p.106-111.

7. Ryabov B.I., Pilyeva N.A., Alissandrakis C.E., Shibasaki K., Bogod V.M., Garaimov V.I., Gelfreikh G.B. Coronal magnetography of an active region from microwave polarization inversion. - Solar Physics, 1999, v.185, N1, p.157-175.

8. Ryabov B.I. Analyses of the multiple inversion of circular polarization of sunspot-associated microwave sources. - Radiophysics, 1998, v.41, N3, p.259-269.

9. Ryabov B.I. Analysis of the multiple inversion of circular polarization in solar microwave local sources. - Baltic Astronomy, 1997, v.6, p.651-660.

6. Gelfreikh G.B., Pilyeva N.A. and Ryabov B.I. On the gradient of coronal magnetic fields from radio observations. - Solar Physics, 1997, v.170, N2, p.253-264.

7. Peterova N.G., Pilyeva N.A., Ryabov B.I. A microwave sunspot-associated source with S-shaped circular polarization. - Baltic Astronomy, 1996, v.5, p.157-164.

8. Willson R.F., Kile J.N., Lang K.R., Donaldson S., Bogod V.M., Gelfreikh G.B., Ryabov B.I., Hafizov S.R. Large-scale coronal magnetic fields: noise storms, soft X-rays and radio polarization. - Adv.Space Res., 1995, v.17, N 4/5, p.265-268.

9. Lang K.R., Willson R.F., Kile J.N., Lemen J., Strong K.T., Bogod V.M., Gelfreikh G.B., Ryabov B.I., Hafizov S.R., Abramov V.E., Svetkov S.V. Magnetospheres of solar active regions inferred from spectral-polarization observations with high spatial resolution. - Ap. J., 1993, v.419, Part 1, p.398-417.

10. Ryabov B.I., Nagelis J., Mancevics L., Skerse D., Kaminskis J. A model support to analysis of high-resolution radio observations of the Sun.- Baltic Astronomy, 1992, v.1, p.239-250.

11. Borovik V.N., Kurbanov M.Sh., Livshits M.A., Ryabov B.I. Coronal holes against background of the quiet Sun: observations with the RATAN - 600 in the 2-32cm range. -Soviet Astronomy, 1990, v.34 (5), September-October, p.522-530.

12. Gelfreikh G.B., Peterova N.G., Ryabov B.I. Measurements of magnetic fields in solar corona as based on the radio observations of the inversion of polarization of local sources at microwaves. - Solar Phys., 1987, v.108, No.1, p.89-97.

13. Ryabov B.I., Spektor A.R. Coronal magnetic structures related to solar flares. - Publ.Debrecen Heliophys. Obs., 1983, v.5, part 1, p.323-332.

14. Peterova N.G., Ryabov B.I. Restoring of the polarized emission of local sources and the structure of the coronal magnetic fields. - Soviet Astron., 1981, v.25, No.5 (Astron.Zh., 1981, v.58, p.1070-1077 ).

SELECTED CONFERENCE PROCEEDINGS

132

1. Ryabov B.I. Coronal Magnetography from Quasi-Transverse Propagation. - Green Bank Workshop "Solar Radiophysics with the Frequency Agile Solar Radiotelescope, NRAO, Green Bank, WV, USA, May 23-25, 2002, Program and Abstracs, p.37.

2. Gelfreikh G.B., Ryabov B.I., Peterova N.G., Drago F., Agalakov B.V., Borisevich T.P., Lubyshev B.I., Maksimov V.P. Oscillations of the zero-polarization region in the core of the local source NOAA 6412. - Third Russian-Chinese Conference on Space Weather, 19-21 June 2002, Abstracts, Irkutsk, 2002, p.47.

3. Kaltman T.I, Agalakov B.V., Korzhavin A.N., Maksimov V.P., Ryabov B.I., Peterova N.G. The inversion of polarization sign in solar active regions with RATAN-600 and SSRT observations. - Proc. 10th European Solar Physics Meeting, 'Solar Variability: From Core to Outer Frontiers', Prague, Czech Republic, 9-14 September 2002, ESA SP-506, December 2002.

4. Peterova N.G., Ryabov B.I., Tokhchukova S.H. Microwave observations of the active region with a coronal streamer. - Abstracts, JENAM-2000, Moscow, Russia, May 29 - June 3, 2000, p.134.

5. Abramov-Maksimov V.E., Kushnir M.V., Peterova N.G., Ryabov B.I. Microwave radio emission of AR6444 by observations using RATAN-600. - Abstracts, JENAM-2000, Moscow, Russia, May 29 - June 3, 2000, p.112.

6. Shmeld I., Dementjev A., Lipatov B., Molotov I., Ryabov B. First VLBI observations with the Ventspils 32 m antenna. - Abstracts, JENAM-2000, Moscow, Russia, May 29 - June 3, 2000, p.173.

7. Ryabov B.I., Maksimov V.P. On the possibility to search out the peculiarities of coronal magnetic fields. - Abstracts, International Conference on Solar Physics "Structure and Dynamics of the Solar Corona", Troitsk, Russia, October 4-8, 1999, p.48.

8. B.Ryabov, I.Shmeld The program of first observations on the Ventspils 32m radiotelescope. - Abstracts, Joint European and National Astronomical Meeting (JENAM-97), Thessaloniki, Greece, 2-5 July 1997, p.241.

9. Ryabov B.I. Problems of solar coronal magnetic fields radiomeasurements by the effect of wave mode coupling in the region of quasi-transverse propagation. - Abstracts, Third Volga International Summer School on Space Plasma Physics (ISS97), 1 June - 11 June, 1997, Nizhniy Novgorod, p.38.

10. Gelfreikh G.B., Pilyeva N.A., Ryabov B.I. Coronal magnetic fields of solar active regions: radio measurements by the RATAN-600. - Book of Abstracts, Univ.of Barcelona, Conference on "Radio emission from the stars and the Sun", Barcelona, Spain, 3-7 July, 1995, p.59.

11. Korzhavin A.N., Opeikina L.V., Ryabov B.I., Shatilov V.A. Microwave emission of large-scale solar coronal structures. - Abstracts of Second SOHO Workshop, Italy, 27 Sept.-1 Oct., 1993, p.61.

12. Bogod V.M., Gelfreikh G.B., Ryabov B.I., Hafizov S.R. Coronal magnetic fields from the effect of the double inversion of circular polarization of radio emission. - "The Magnetic and Velocity Fields of Solar Active Regions", ASP Conference Series, Harold Zirin, Guaxiang Ai, and Haimin Wang (eds.), 1993, v.46, p.302-305.

13. Bogod V.M., Gelfreikh G.B., Ryabov B.I., Hafizov S.R. The discovery of slim magnetic field structure in the active region using the solar radio observations. - Abstracts of IAU Colloquium No.141, Beijing, China, 1992, p.76.

INVITED TALKS

1. “Coronal magnetograms of solar active regions derived from polarization inversion in microwaves”- Nobeyama Symposium 2004 “Solar Physics with the Nobeyama Radioheliograph”, Seisen-Ryo, Kiyosato, Nobeyama Solar Radio Observatory, Japan, October 26 – 29, 2004.

2. “The Sun at Centimeter Wavelengths”.- Nordic-Baltic Summer School in Radio Astronomy, Ventspils, Latvia, July 15-28, 2001.

3. "Coronal Magnetography from Quasi-Transverse Propagation".- Green Bank Workshop "Solar Radiophysics with the Frequency Agile Solar Radiotelescope, NRAO, Green Bank, WV, USA, May 23-25, 2002.

133

CURRICULUM VITAE


Name, surname Zigurds SīkaYear of birth 1934.Address: Nīcgales street 9-40, Rīga, LV-1035Phone: +371 7558662 (work); +371 29840761 (mob.)E-mail address: [email protected]; [email protected]

2. EDUCATION:

Educational establishment Latvian State UniversityDate: from (mm/yyyy) until (mm/yyyy) 06/1957The education obtained: Physicist qualificationDiploma No. И Nr. 488589

Educational establishment Latvian Academy of Sciences (LAS), Physics and Technical sciences council

Date: from (mm/yyyy) until (mm/yyyy) 02/1966The education obtained: Technical science candidateDiploma No. MKД Nr. 004300

Educational establishment LAS Institute of Physical EnergeticDate: from (mm/yyyy) until (mm/yyyy) 06/1992The education obtained: Dr.sc.ing.Diploma No. E-D Nr. 000114

Educational establishment LAS Institute of Physical EnergeticDate: from (mm/yyyy) until (mm/yyyy) 06/1993The education obtained: Dr.habil.sc.ing.Diploma No. E-Dh Nr. 000008

3. JOB EXPERIENCE:


19571959


Electric-bulb factory in Riga

Position Head specialist of Gas purification station


19591999


Latvian Academy of Sciences, Institute of Physical Energetic

Position Junior research associate, senior research associate, general researcher, head of the laboratory

134




19942004


Ventspils International Radioastromomy Center

Position Consultant, head of electrotechnical group, acting prime energetician


2005until now


Ventspils International Radioastromomy Center



1997until now





At all 118 publications, from them: One monograph; 72 scientific writings; 30 certificate of authorship and patents; 15 publicized presentations or theses.

From y. 1991 participate in 8 projects implementation.

From y. 2001 until y. 2005 – coordinator of international INTAS program project Nr. 01-0669 “Optical and radar ecological monitoring of near-Earth space environment for the control of technologenic pollution and natural hazard assessment due to asteroids”.

From y. 2001 until y. 2002 – deal in PHARE little projects fund in project Nr. LE9913.02/0004 „Special Actions in Favour of the Baltic Sea Region”.

135

CURRICULUM VITAE


Name, surname Ivars ŠmeldsYear of birth 1947Address: Talsu highway 31/13-28, Jūrmala, LV-2016Phone: +371 26412683E-mail address: [email protected]

2. EDUCATION:


09/196606/1971

The education obtained: PhysicistDiploma No. Щ 348583

Educational establishment Latvian State UniversityDate: from (mm/yyyy) until (mm/yyyy) 11/1992The education obtained: Doctor degree in PhysicsDiploma No. C-D 001043


Language Reading Speaking WritingLatvian 5 5 5Russian 5 4 4English 5 5 4German 3 2 2

4. JOB EXPERIENCE:


11/1970until now


Astronomical Institute of Latvian State University (until 07/1997 LZA Observatory of Radio astrophysics)

Position Laboratory assistant, senior laboratory assistant, probationer – researcher, junior scientist research associate, senior scientist research associate, head of department, leading researcher


01/2004until now


Ventspils University College

Position Docent


06/2005until now

136


Ventspils University College, Ventspils International Radio Astronomy Center

Position Leading researcher


In last 6 years 7 scientific publications, 18 presentations in international scientific conferences.

Member of International Astronomer Union, Eurasia’s Astronomical Association, Europe’s Astronomy Association (member of direction), Latvia’s Scientist Union (member of direction), Latvia’s Astronomy Association (vice-chairman).

137

CURRICULUM VITAE

1. Name: Manfreds Leontijs2. Surname: Šneps-Šnepe3. Birth year: 1935

4. Education:Latvia University 9/1954 - 7/1959 MathematicsMoscow State University 9/1962 – 4/1965 Post-graduate studies in prob theory & math statRīga Technical University 10/1992 Dr Habil ing sc

5. Language skills:

Language Read Speak WriteLatvian 5 5 5Russian 5 5 5German 4 2 2English 4 4 4

6. Labour (reduced list):Latvia University 3/1988 - 8/1992 Professor in probab theoryRīga Technical University 8/1992 - 10/1995 Professor in telecom, Chair of telecommunicationsVentspils Augstskola 9/2005 – now Asoc Prof

7. Publications (of last years).Books:«Лекции по сетям связи нового поколения NGN», М., МАКС Пресс, 2005. ISBN 5-

317-01290-2«45 лет в науке: телефония, медицина, история», М., МАКС Пресс, 2005. ISBN 5-

317-01300-3«Архитектура OSA/PARLAY и сети нового поколения NGN» (соавторы Д.Е.Намиот

и др), М., МАКС Пресс, 2004. ISBN 5-317-00997-9 «Интернет-телефония: протокол SIP и его применения», М., МАКС Пресс, 2002.

ISBN 5-317-00537-Х«Интеллектуальные сети и компьютерная телефония» (соавторы С. В. Крестьянинов

и Е. И. Полканов), М., Радио и связь, 2001. ISBN 5-256-01548-620+ papers on telecommunication

8. Address: Poruka street 14-4 Ventspils Latvia LV-3601

138

CURRICULUM VITAE

1. Name, surname: ILGONIS VILKS2. Born: 10th December 19603. Birthplace: Riga, Latvia4. Address: Work: Institute of Astronomy, University of Latvia, Boulv. Rainis

19, Riga, LV-1586, +371-7223617, e-mail [email protected] Home: Vairoga street 5-4, Riga, LV-1586, phone +371-7569055, mobile phone: +371-29442172

5. Education: 1997 - PhD degree in Pedagogic at Institute of Pedagogic and Psychology, University of

Latvia; 1994 - master degree in Physics at Faculty of Mathematics and Physics, University of Latvia; 1984 - graduated from Faculty of Mathematics and Physics, University of Latvia;6. Experience: Since y. 2000 director of F. Canders memorial museum; Since September 2000 chief editor of popular science magazine "Terra"; Since 01.01.98. Scientific secretary, researcher at Institute of Astronomy, University of

Latvia; 1998 - 2001 teacher of Physics and Astronomy at Brīvās izglītības centra skola, French

lyceum, Yurmala Alternative School; since 1995 lecturer of Astrophysics at University of Latvia; 01.05.94.-31.12.97. Head of Astronomical Observatory and researcher at University of

Latvia; 1993 -1994 scientific work at Astronomical Observatory, University of Latvia; 1986 -1992 engineer at Astronomical Observatory, University of Latvia; 1984 -1986 teacher of physics, astronomy and computer science at Riga secondary school No

47;

7. Member of societies, etc.: Member of International Astronomical Union. National representative of Latvia in the IAU

Commission “Astronomy education and development”; national representative of Latvia in the Commission No 46 The Teaching of Astronomy,

International Astronomical Union; national representative of Latvia in the European Association for Astronomy Education; head of the Latvian Association of Astronomy Teachers (1995 - 2000); member of the Latvian Astronomical Society Council (1993 -); member of editorial board of magazines "Starry Sky" (1992 -) and "Astronomical Calendar"

(1993 - 2000);

8. Language skills: fluent in Latvian, Russian, English, French; basics of German.

9. Publications:

1. I. Vilks. Astronomijas mācību programma. LR Izglītības ministrija, Rīga, 1993.2. I. Vilks. Par fotoelektriskā zenītteleskopa novērojumu apstrādi. Rakstu krājumā "Debess

ķermeņu kustības analīze un to novērojumu precizitāte", LVU, Rīga, 1988.3. I. Vilks. Vidējās izglītības standarta astronomijā un astronomijas profilkursa vadlīniju

projekts. LR Izglītības un Zinātnes ministrija, Rīga, 1994.4. I. Vilks. Vidējās izglītības standarts astronomijā. LR Izglītības un Zinātnes ministrija,

Rīga, 1995.5. I. Vilks. New conceptions in astronomy textbook for Latvian high-schools. Acta

Universitatis Latviensis. Astronomy, ser. 20, Vol. 600, Rīga, 1995.

139


6. I. Vilks. Short analysis of new astronomy textbook. Proceedings of 5th International Conference on Teaching Astronomy. Editor Rosa M. Ros. Universitat Politecnica de Catalunya, Barcelona, 1995.

7. I. Vilks. Astronomija vidusskolai. Eksperimentāla mācību grāmata. Apgāds Zvaigzne ABC, Rīga, 1996.

8. I. Vilks. Zvaigžņotās debess ceļvedis. Eksperimentāls mācību līdzeklis. Apgāds Mācību grāmata, Rīga, 1996.

9. I. Vilks. Astronomijas apguve Latvijā - problēmas un perspektīvas. PIAC Metodisko rakstu krājums ‘’Skolotāja pieredze’’ 9/1996.

10. I. Vilks. Par astronomijas mācību satura tematisko plānojumu. Metodiski ieteikumi astronomijā, LR Izglītības un Zinātnes ministrija, Rīga, 1996.

11. I. Vilks. Demonstrējumi un modeļi vidusskolas astronomijas kursā. Metodiski ieteikumi astronomijā, LR Izglītības un Zinātnes ministrija, Rīga, 1996.

12. I. Vilks, I. Dudareva. Par astronomijas satura iekļaušanu citos vidusskolas priekšmetos. Metodiski ieteikumi astronomijā, LR Izglītības un Zinātnes ministrija, Rīga, 1996.

13. I. Vilks, ar līdzautoriem. Dabaszinības. Vidējās izglītības standarta projekts. LR Izglītības un Zinātnes ministrija, Rīga, 1996.

14. I. Vilks. Astronomijas un kosmonautikas šķirkļi Svešvārdu vārdnīcai, Norden, Rīga, 1996.

15. I. Vilks. Astronomy education in Latvia. Triennial National Report 1993 - 1996, International Astronomy Union Newsletter on the Teaching Astronomy. Special Issue #45, 1997.

16. A. Bruņeniece, I. Vilks. Astronomy education in Latvia. Proceedings of 1st Summer School of European Association for Astronomy Education, Spain, 1997.

17. I. Vilks. Astronomy education in Latvia - problems and development. Proceedings of International Astronomy Union Colloquium 162. Cambridge University Press, 1998.

18. I. Vilks. Kosmoss. Eksperimentāls mācību līdzeklis dabaszinībās vidusskolai, Mācību grāmata, Rīga, 1998.

19. M. Ābele, J. Ozols, A. Pavēnis, I. Vilks. Radioteleskopa RT-32 pozicionēšanas datorvadība. Latvian Journal of Physics and Technical Sciences, 1998.

20. I. Vilks ar līdzautoriem. Latvijas Izglītības informatizācijas sistēmas projekts "Astronomija tīklā", 1999, Internet adrese http://www.liis.lv/astron/.

21. I. Vilks. Triennial Report on Astronomy Education in Latvia 1996 - 1998. IAU Commission 46 The Teaching Astronomy Newsletter 50, March 1999.

22. E. Vaivode, J. Soms, I. Vilks, E. Nagle. Es un mēs un viss ap mums. Dabas mācība 4. klasei, Lielvārds, Lielvārde, 1999.

23. I. Vilks. Kā iekārtots Visums. Mācību līdzeklis, Zvaigzne ABC, Rīga, 2000.24. Vilks I. Travelling through Galaxy. Three-dimensional models of constellations based on

new data from HIPPARCOS satellite. Proceedings of 4th European Association for Astronomy Education International Summer School, Tavira, 2000.

25. More then 50 scientifically publications in magazine "Zvaigžņotā Debess" and edition "Astronomiskais kalendārs".

140

CURRICULUM VITAE

1. THE BASIC INFORMATIONName, surname Jānis VucānsYear of birth 1956Adress: J.Poruka 14-3, Ventspils, LV-3601Phone: 3628914E-mail address: [email protected]

2. EDUCATION: Educational establishment Latvian State UniversityDate: from (mm/yyyy) until (mm/yyyy)

12/198202/1986

The education obtained: Doctor of mathematics (nostrification in 1992)Diploma No.


09/197406/1979

The education obtained: Higher education in Applied Mathematics, qualification of mathematician

Diploma No.




SIA (Comp. Ltd.) „Eirokonsultants”

The possibilities of attraction of EU pre-structural and structural funds

12/2001 – 05/2002

Eurofaculty, University of Latvia (UL)

Macroeconomics 02/1995 – 06/1995

Eurofaculty, UL Microeconomics 09/1994 – 01/1995


Language Reading Speaking WritingLatvian 5 5 5Russian 5 5 5English 5 4 4French 4 3 3

5. JOB EXPERIENCE:


From 07/1998until current moment

Name of institution Ventspils University College (Ventspils Augstskola)Position Associate professor (07/1998-06/2003), professor (from 07/2003),

rector (from 09/2000)

Date: from (mm/yyyy) From 03/2006

141

until (mm/yyyy) until current momentName of institution Ventspils City CouncilPosition Member of the City Council, Chairman of the Education

Commission


From 08/1979until 06/2005

Name of institution University of LatviaPosition Associate professor (03/1999 – 06/2005),

Head of chair, Assistant professor (01/1993 – 12/1998),lecturer (12/1988 – 11/1992),assistant (08/1979 – 12/1982 and 02/1986 – 12/1988)


From 05/2000until 06/2002

Name of enterprise AS (JSC) „Ventspils Zivju konservu kombināts”Position Member of the Council


From 05/2000until 06/2002

Name of enterprise Ventspils self-governmental non-profit organization SIA (Comp. Ltd.) „Ūdeka”

Position Member of the Board


Creator and director (since 10/1998) of the bachelors level study program in Business Administration (BA) in Ventspils University College.

Expert, appointed by the Council of Higher Education of Republic of Latvia (RL), for accreditation of study programs in the field of BA and for accreditation of higher education institutions (2003-2006).

Expert, attracted by the Investment and Development Agency of RL, in the process of elaboration of Regional Investment Strategy of Latvia (2004).

The manager of the AVANTI project in Ventspils University College, financed by the European Commission (EC) 5th Framework program for the development of science and technologies.

The manager in Ventspils University of the EC Leonardo da Vinci program projects LOGIS (elaboration of study course in Logistics Informative Systems for international use) and ENTLEARN (identification of more appropriate methods for education of entrepreneurs, and research on the possibilities of their transmission to other countries).

The manager of the following research projects financed by the Council of Science of RL:

Project No. 04.1134 „Elaboration and Approbation of the Methodological Basis for Monitoring System of Business Environment in Baltic States”;

Project No. 06.1956 „ Monitoring of development of business environment in regions of Latvia and improvement of its methodological basis”.

Author of more than 10 publications speaker in many international conferences on the topics related to these researches.

Member of the Council of Scientists of the Ministry of Economics of RL (since 08/2006).

142

AIVARS ZEMĪTISCurriculum Vitae

Ventspils University CollegeInzenieru street 101Ventspils, LV-3600LatviaPhone/Fax.: +371 3628303, e-mail: [email protected]

Born: May 25, 1954, Tukums district, Latvia

Interests: Mathematical Modeling; Numerical Methods; Flows in Complex Structures; Free boundary problems; Parallel Computing; Object Oriented Programming

Languages: Latvian, German, Rusian, English

Education: University of Latvia (Faculty of Physics and Mathematics), 1976; M. Lomonosov Moscow State University (Faculty of Numerical Mathematics and

Cybernetics); Dr.math. (Candidate of Science in former USSR, PhD in Western countries), M.

Lomonosov Moscow State University, Russia, 1986; Post-doctoral studies, University of Kaiserslautern, 1989.

Expierience: Assistant, University of Latvia, 1978 – 1990; Assistant Professor, University of Latvia, 1990 – 1993; Researcher, University of Kaiserslautern, Germany, 1993 – 1998; Researcher, Institute of Industrial Mathematics, Kaiserslautern, Germany, 1998 – 2000; Associate Professor, Ventspils University College, 2000 – 2005; Dean of Economics and Management Faculty, Ventspils University College, 2002 –

2005.

Honors and Awards: Corresponding member, Latvian Academy of Sciences, 2000;

Professional activities and memberships: Member, Gesellschaft Angewandte Mathematik und Mechanik, Germany, 1990 - ; Member of the International Editorial board for “Mathematical Modeling and Analysis”,

Lithuania, 1997 - ; Member, Editorial advisory board, journal “Mathematical Modeling and Analysis (The

Baltic journal on Mathematical applications, numerical analysis and differential equations)”, Lithuania, 1999 - .

Courses (in Ventspils University College):

143


Object Oriented Programming; Numerical Methods; Modeling of real world problems.

Recent/Representative publications: A. Zemitis. On interaction of a liquid film with an obstacle. Berichte des Fraunhofer

ITWM Kaiserslautern, Nr. 27, 2001. A. Papastavrou, R. Ciegis, A. Zemitis. Additive splitting methods for elliptic-parabolic

problems. Ann. Univ. Ferrara - Sez. VII- Sc. Mat., 2000. K. Velten, D. Schattauer, A. Zemitis, F.-J. Pfreundt, E. Hennig. A method for the analysis

and control of mica tape impregnation processes. IEEE Transactions on Dielectrics and Electrical Insulation, 6(3), 1999.

A. Zemitis. The realization of coupling conditions for multilayered nonwoven. In Mathematical Modeling, Applied Problems of Mathematical Physics, Proceedings of Institute of Mathematics vol. 1, University of Latvia, 1998.

R. Keck, M. Moog, A. Zemitis. Some numerical aspects of the level set method In Mathematical modeling and analysis, vol. 3, Vilnius “Technika”, 1997.

R. Ciegis, A. Zemitis. Numerical algorithms for simulation of the liquid transport in multilayered fleece. In 15th IMACS World Congress on Scientific Computation and Applied Mathematics, Wissenschaft und Technik Verlag Berlin, 1997.

A. Zemitis. Mathematical models for impinging jets. In Industrial Mathematics at ECMI 2002. Springer series “Mathematics in Industry”, 2004.

A. Zemitis. On interaction of a liquid film with an obstacle. Mathematical modeling and analysis, vol. 7, 2002.

A. Zemitis. Shape of the liquid film by impinging jets. Preprint of the Fraunhofer ITWM Kaiserslautern, 2001.

R. Ciegis, A. Zemitis. Parallel numerical methods for flows in multilayer regions. In Navier-Stokes equations and related nonlinear problems, 7th International conference, Ferrara, Italy, 13-17 September, 1999.

A. Zemitis. Mathematical simulation of liquid transport in fleece. In progress in industrial mathematics at ECMI 94, 1996.

Cebers, A. Zemitis. A numerical experiment about the mhd-instability for the squeezed droplet of the magnetic fluid. Magnetohydrodynamics, vol. 4, 1983.

Research projects: A. Zemitis (Deputy Head of Project). Simulation of the liquid transport in multi-layered

porous media. University of Kaiserslautern (1993 – 1999). A. Zemitis (Deputy Head of Project). Multiphase flow in multi-layered porous media.

Industrial project (Germany), (1998 – 1999). A. Zemitis (Deputy Head of Project). Multiphase flow in some industrial device.

Industrial project (Germany), (2000 – 2001). A. Zemitis (Coordinator of Project in Latvia). e_GASGRID (Action for Research and

Information Support for GAS security and supply management in the European GRID) 5th framework program, EC Contract No. NNE5/2002/85 (2003 – 2004).

A. Zemitis (Coordinator of Project in Latvia). CODEWITZ project for better programming skills, EC Contract No. 109989-CP-1-F1-MINERVA-M (2003 – 2006).

A. Zemitis (Coordinator of Project in Latvia). NETIAM (New and emerging themes in industrial and applied mathematics), 6th framework program, EC Contract No. 002513 (2004 – 2005).

144

CURRICULUM VITAEAssoc.prof. Juris ZAGARS

Dr.hab.phys. Juris ZAGARSCorresponding Member of Latvian Academy of Science

Assoc.professor of Ventspils University CollegeAssoc.professor of the Department of Physics, University of LatviaDirector of Ventspils International Radio Astronomy center (VIRAC);

Ventspils International Radio Astronomy center(Ventspils University College)101, Inzhenieru str.Ventspils, LV-3600LatviaPhone: +371-292.30.818e-mail: [email protected] , [email protected] Born: February 9, 1949, Riga, Latvia

Scientific interests: main field: Dynamics of Earth's Satellites , geophysics, physics of planets current research interests: Motion of the Earth satellites, applied space technologies,

satellite navigation, remote sensing

Languages: Latvian, English, Russian and French Education Moscow State University (Faculty of Physics, Departament of Astronomy ) in 1973 Dr.phys. (Ph.D. or Candidate of Science in former USSR), Moscow State University,

Russia, 1979 Dr. habil. phys., University of Latvia, 1999

in-service training: Astronomical Council of Russian Academy of Science, Moscow, 1970.-1973. Terres Australes et Antarctiques Francaise (Ile Nlle Amsterdam), geophysical mission,

France 1978. Universidade Eduardo Mondlane, Maputo, Mocambique, 1987. Bulgarian Academy of Sciences, project "ULIS", Stara-Zagora, 1988.-1989. GeoForshungsZentrum Potsdam , Germany, 1991. Finnish Geodetic Institute, Helsinki, 1993.

Career/Employment Assistant, sc.engineer of Astronomicl Council, Russian Ac.Sc., Moscow, 1970 - 1973. Assistant, Researcher, Senior Scientist of Astronomical observatory, University of

Latvia, 1973 - 1985. Director of Astronomical Observatory, University of Latvia, 1985 - 1996. Senior Scientist of Astronomical Institute, University of Latvia, 1996 - 2000. Senior Scientist of Ventspils International Radio Astronomy Center, 1998 - ... Curator of F.Cander's Space History museum in Riga, 1996 - 2000. Lecturer of the Department of Physics, University of Latvia, 1999 - 2001. Assoc.prof. of the Department of Physics, University of Latvia, 2001 - ... Vice-rector of Ventspils University College, 2000.- 2002.

145

http://www.gfz-potsdam.de/welcome_en.html

http://www.lu.lv/

http://www.sai.msu.su/



http://www.venta.lv/

http://www.astr.lu.lv/VIRAC/virac.htm

http://www.lu.lv/jauna/strukt/f_fizmat_2.html

Assoc.prof. of Ventspils University College, 2000. - .... Director of VIRAC, 2004.- ….

Fellowships, Memberships of Professional Societies Member, International Astronomical Union (IAU), from 1982. Member, European Astronomical Society (EAS), from 1990. Member, European Geophysical Society (EGS) , from 1997. Member, Latvian Astronomical Society (LAB), from 1967. Delegate of Latvia in FP6 „Aerospace” programme commitee 2002-2007 Delegate of Latvia in FP7 „Space” and „Security” programme comitees from 2007. Delegate of Latvia in European Strategy Forum for Research Infrastructures from 2005

Courses. Astronomy and Astrophysics, University of Latvia,1983 - ... . Fundamentals of GPS, University of Latvia, 1999 - ... , Ventspils University College, 2005.-….. Space Information Technologies, University of Latvia & Ventspils University College, 1999 – 2005 . Basics of Natural Sciences, Ventspils University Collegue, 2000 - ... . Modeling of Chaotic processes, Ventspils University Collegue, 2001 - ... . General Physics Ventspils University Collegue, 2002 - 2005. Linear Algebra and Analitical Geometry Ventspils University Collegue, 2002 - 2005. Numerical Methods, University of Latvia, 1985 - 1991.. Differential equiations, Ventspils University College, 2003.-2004.. Digital Image Processing, Ventspils University College, 2005.-….. Geophysics, Ventspils University College, 2006.-…. Methods of interpretation and classification, Ventspils University College, 2006.-….Physical princips of Remote Sensing, Ventspils University College, 2006.-…

Researche Projects

1. Y.Zhagars (Head of subprogramme) in joint research programme Basic and Applied Research Based on the use of the Ventspils International Radioastronomy Centre (VIRAC) Radiotelescopes and Their Application for Receiving, Processing and Transmitting of Information (Programme Director: J.Ekmanis) Latvian Council of Science, 2001-2004.

2. Y.Zhagars (Head of subprogramme) in joint research programme Establishment of the VIRAC research equipment and R&D infrastructure for long-term radioastronomy and satellite observations in the framework of Latvian and international programmes (Programme Director: J.Ekmanis) Latvian Council of Science, 2005-2008.

Recent Publications 1. Krisane G., Kaminskis J., Zhagars Y. Gravity data application for geoid and complex

structure modeling, Geophysical Research Abstracts, vol.3, 2001, ISSN:1029-7006.2. Zhagars Y., Kaminskis Geodetic connection of astro-geodynamic objects in VIRAC

site (Irbene, Latvia), Geophysical Research Abstracts, vol.3, 2001, ISSN:1029-7006.3. Zhagars Y., Kaminskis J. Developement of permanent GPS network in Latvia,

Geophysical Research Abstracts, vol.4, 2002, ISSN: 1029-7006.4. J.Žagars Globālās pozicionēšanas sistēmas (GPS) pamatprincipi, Proceedings of the

1st Common Baltic Symposyum GPS Heighting based on DFHRS and national-wide permanent GPS reference system, RIGA, June 11, 2001.

5. J.Zagars Introduction to space information technologies for environmental assessment (Educational Project), EcoSys Beitrage zur Okosystemforschung,

146

http://www.copernicus.org/EGS/EGS.html

proceedings from CCMS Pilot Study meeting, Universitat Kiel, 2003, ISSN:0940-7782.

6. J.Kaminskis and J.Zhagars Global Navigation Satellite System adoption in Latvia, Geophysical Research Abstracts vol.5, 130040, 2003, ISSN: 1029-7006.

7. Y.Zhagars and J.Kaminskis Implementation of Permanent GNSS, Geophysical Research Abstracts vol.6, 03377, 2004, ISSN: 1029-7006.

8. Juris Žagars. Ventspils Starptautiskais Radioastronomijas centrs otrās desmitgades sākumā,Latvijas Universitātes raksti, Jubilejas izdevums, Rīga, 2004

9. J.Žagars, I.Vilks Astronomija augstskolām, (283 lpp) LU Akadēmiskais apgāds, Rīga, 2005.

10. Zagars J. Development of space information technologies and radio astronomy for education and research in Latvia EcoSys Beitrage zur Okosystemforschung, proceedings from the CCMS Pilot Study meeting Lecce (Italy), Universitat Kiel, 2005, ISSN:0940-7782.

11. Juris Zagars (working group member) European Roadmap for Research Infrastructures, ESFRI Report 2006, Luxembourg, 2006

147

Appendix Nr. 3.List of academic staff

148

Nr. Name, Surname

Profession Education Academic Degree

Courses of study Elected time

1. Juris Žagars

Associated professor

Higher Dr.hab.phys. Fundamentals of geophysics; Fundamentals of remote sensing; Digital image processing; Methods of interpretation and classification; Satellite navigation systems and methods

01.02.2005.- 31.01.2011

2. Juris Roberts Kalniņš

Lead Researcher

Higher Dr.hab.phys. Selected topics of mathematics; Calculus of Variations; Numerical methods of analysis

15.09.2006.- 14.09.2012.

3. Jānis Vucāns

Professor Higher Dr.math. Optimization methods 01.07.2003.- 30.06.2009.

4. Gaļina Hiļkeviča

Docent Higher Dr.math. Equations of mathematical physics; Selected topics of mathematics

03.03.2003.- 28.02.2009.

5. Ivars Šmelds

Docent Higher Dr.phys. The general astronomy; Introduction to radio astronomy; Microwave remote sensing

01.07.2005.- 30.06.2011.

6. Juris Freimanis

Researcher Higher Dr.phys. Spatial Statistics 12.09.2005.- 11.09.2011.

7. Manfrēds Šneps-Šneppe

Lead Researcher

Higher Dr.hab.sc.ing. Wireless tehnologies; Telecommunication technologies

29.06.2006.- 28.06.2012.

8. Radu Ranta

Guest professor

Higher Ph.D.(comp.sc.)

Methods of image compression

9. Pēteris Misāns

Guest professor

Higher Dr.sc.ing. MATLAB programming tools

10. Leonīds Gurvits

Guest professor

Higher Dr.phys. Introduction to radio astronomy

11. Vladislavs Bezrukovs

Guest lecturer

Higher Mag.sc.ing. Computer graphics

12. Gunta Bičevska

Guest lecturer

Higher Mag.phys. Digital cartography and geographic information systems

13. Edgars Mūkins

Guest lecturer

Higher Mag.phys. Digital cartography and geographic information systems

14. Valērijs Bezrukovs

Lead Researcher

Higher Dr.sc.ing. Methods of image compression; Processors of numerical images

25.05.2005.- 24.05.2011.

15. Oļģerts Dumbrājs

Guest professor

Higher Ph.D.phys. Numerical methods of algebra

16. Boriss Rjabovs

Lead Researcher

Higher Dr.phys. Introduction to radio astronomy 25.05.2005.- 24.05.2011.

17. Zigurds Sīka

Lead Researcher

Higher Dr.hab.sc.ing. Author of course Digital cartography and geographic information systems

25.05.2005.- 24.05.2011.

18. Māris Ābele

Lead Researcher

Higher Dr.phys. Author of course Satellite navigation systems and methods

25.05.2005.- 24.05.2011.

19. Aivars Zemītis

Associated professor

Higher Dr.math. Author of programs: Computer graphics; Game theory; GAMS tools; Spatial Statistics; Digital image processing; Applications of digital images; Artificial intelligence; MATLAB programming tools; Programming of numerical methods

20. Juris Ozols Lead Researcher

Higher Dr.phys. Author of course Satellite telecommunication systems

25.05.2005.- 24.05.2011.

21. Ilgonis Vilks

Lead Researcher

Higher Dr.paed. Author of course The general astronomy

25.05.2005.- 24.05.2011.

22. Mārtiņš Kriķis

Guest docent Higher Ph.D.(comp.sc.)

Author of course MATLAB programming tools

149

Appendix Nr. 4.Amount of work of academic staff

150

Study course Part Lecturer Credit pointsAcademic degree/

professionN. Surname 1. course 2. course

1.s. 2.s. 3.s. 4.s.Equations of mathematical

physicsA Dr.math./Docent G. Hiļķeviča 4

Selected topics of mathematics

A Dr.math./DocentDr.hab.phys./ Lead Researcher

G. Hiļķeviča/J.K. Kalniņš

4

Calculus of Variations A Dr.hab.phys./ Lead Researcher J.K. Kalniņš 2Spatial Statistics A Dr.phys./Researcher J. Freimanis 3

Numerical methods of algebra

A Ph.D.phys./Guest prof. O. Dumbrājs 2

Numerical methods of analysis

A Dr.hab.phys./ Lead Researcher J.K. Kalniņš 2

Optimization methods A Dr.math./Professor J. Vucāns 2The general astronomy A Dr.phys./Docent I. Šmelds 3

Fundamentals of geophysics

A Dr.hab.phys./Asoc.prof. J. Žagars 3

Fundamentals of remote sensing

A Dr.hab.phys./Asoc.prof. J. Žagars 2

Digital image processing A Dr.hab.phys./Asoc.prof. J. Žagars 4Methods of interpretation

and classificationA Dr.hab.phys./Asoc.prof. J. Žagars 2

Methods of image compression

A Dr.sc.ing./ Lead ResearcherPh.D.(comp.sc.)/Guest prof.

Va. Bezrukovs/R. Ranta

2

Computer graphics A Mag.sc.ing./Guest lecturer Vl. Bezrukovs 4Processors of numerical

imagesA Dr.sc.ing./ Lead Researcher Va. Bezrukovs 2

Digital cartography and geographic information

systems

A Mag.phys./Guest lecturerMag.phys./Guest lecturer

E. Mukins/G. Bičevska

4

Programming of numerical methods

B (3)

Nonlinear systems B (3)Applications of digital

imagesB (3)

MATLAB programming tools

B Dr.sc.ing./Guest prof. P. Misāns 2

GAMS tools B (2)Game theory B (2)

Satellite navigation systems and methods

B Dr.hab.phys./Asoc.prof. J. Žagars 3

Satellite telecommunication

systems

B (2)

Applications of remote sensing

B (3)

Introduction to radio astronomy

B Dr.phys./Guest prof.Dr.phys./Docent

Dr.phys./ Lead Researcher

L. Gurvits/I. Šmelds/B. Rjabovs

3

Microwave remote sensing

B Dr.phys./Docent I. Šmelds 2

Sensor systems B (2)Artificial Intelligence B (2)Wireless tehnologies B Dr.hab.sc.ing./ Lead Researcher M. Šneps-

Šneppe2

Telecommunication technologies

B Dr.hab.sc.ing./ Lead Researcher M. Šneps-Šneppe

4

151

Appendix Nr. 5.Agreements between Ventspils University College and ViA, LU,

LPA and 2 SOCRATES agreementsThe originals of the two SOCRATES agreements are included in printed accreditation documents in English.

153

Inženieru iela 101a, LV-3600, Ventspils Tālr/fakss (371)36 28303Reģ.Nr. 90000362426 e-pasts: [email protected]

26.02.2007. No._4-7_ Ventspils

STATEMENT

on agreement between universities

This is to certify that Ventspils University College has concluded co-operation agreements with following Universities: Liepāja Academy of Pedagogy (Liepājas Pedagoģijas akadēmija), Vidzeme University College (Vidzemes augstskola) and University of Latvia (Latvijas Universitāte) about continuation of the Master’s Degree Study Programme in Natural Sciences: Computer Science (Mathematic fundamentals of computer science and satellite information data processing systems) in case if the realization of the programme is terminated in Ventspils University College.

The originals of the agreements are included in accreditation documents in Latvian.

Vice-rector, responsible for study process asoc.prof. M. Leitāne

154


Appendix Nr. 6.Registration card of Ventspils University College

The registration card of Ventspls University College can be founded in printed accreditation documents in English.

155

Appendix Nr. 7.License of the Programme

The License of the Programme can be founded in printed accreditation documents in English.

156

Appendix Nr. 8.Statement about academic staff’s workplace

157


26.02.2007. No._4-8/2_ Ventspils

STATEMENT

about academic staff in Master’s Degree Study Programme in Natural Sciences: Computer Science (Mathematic

fundamentals of computer science and satellite information data processing systems)work place

This is to certify that the Master’s Degree Study Programme in Natural Sciences: Computer Science (Mathematic fundamentals of computer science and satellite information data processing systems) is implemented by the following permanent academic staff of Ventspils University College:

Juris Žagars, Dr. habil. phys., VUC Associate Professor; Gaļina Hiļkevičā, Dr. mat., VUC Docent; Ivars Šmelds, Dr. phys., VUC Docent; Boriss Rjabovs, Dr. phys., VIRAC Lead Researcher; Juris-Roberts Kalniņš, Dr. habil. phys., VUC Engineering and Research Centre Lead

Researcher; Jānis Vucāns, Dr. mat., VUC Professor; Juris Freimanis, Dr. phys., VIRAC Researcher; Valērijs Bezrukovs, Dr. sc. ing., VSRC Lead Researcher; Manfrēds Šneps-Šneppe, Dr. habil. sc. ing., VUC Engineering and Research Centre Lead

Researcher.

The above academic staff of Ventspils University College form 60% of the entire number of Master’s Degree Study Programme lecturers.


158


Appendix Nr. 9.Statement about number of students per academic years

159


26.02.2007. No._4-9/2_ Ventspils

STATEMENT

on number of students in Master’s Degree Study Programme in Natural Sciences: Computer Science (Mathematic fundamentals of computer science and satellite information

data processing systems) per academic years

This is to certify that the number of students in Ventspils University College Master’s Degree Study Programme in Natural Sciences: Computer Science (Mathematic fundamentals of computer science and satellite information data processing systems) was the following in each academic year:

1) 2005/06 a.y. 19 students were matriculated, 19 of them – the first year students;2) 2006/07 a.y. 14 students were matriculated, 14 of them – the first year students. 17 second-

year students were continuing studies in 2006/07 a.y.


160


Appendix Nr. 10.References

The Master’s Degree Study Programme in Natural Sciences: Computer Science (Mathematic fundaments of computer science and satellite information data processing systems) of Ventspils University College has got positive references from Dr. J. Bārzdiņš, Professor of University of Latvia, and Prof.Dr. A. Siliņš, Vice President of Latvian Academy of Sciences.

The originals of the references are attached to the printed accreditation documents in Latvian.

161

Appendix Nr. 11.Example of Diploma and diploma supplement

The example of Diploma supplement in English can be founded in printed accreditation documents in English.

162

3. Diplom 3.page.

O

With final examination commission

yyyy.year dd.month resolutionNr.2

Name Surnamepersonal code 000000-00000

Obtain

Master’s Degree Study Programmein Natural Sciences: Computer Science

(Mathematic Fundamentals of computer science and satellite information data processing systems)

Z.v.

Rector J. Vucāns

Chairmen of final examination commission J. Žagars

Ventspils yyyy.year dd.month Registration Nr._______

163

Appendix Nr. 12.Advertisement about study programme

Advertisement about study programme in Latvian can be founded in printed accreditation dosuments in English.

164

Appendix Nr. 13.Decision of the Ventspils University College Senate on Approval of

the Masters degree study programme in Natural sciences: Computer sciences

165

SENATEPROJECT

Ventspils21 February 2007 No. 07-_08_

On accreditation materials of Master’s Degree Study Programme in Natural Sciences, VUC Faculty of Information Technologies

Referring to the report presented by Assoc. Prof. Juris Žagars, Head of Master’s Degree Study Programme in Natural Sciences: Computer Science, as well as to accreditation documents prepared for the study programme “Master’s Degree Study Programme in Natural Sciences: Computer Science (Mathematic fundamentals of computer science and satellite information data processing systems)”, on grounds of recommendation given by Study Commission of Senate,

Senate of Ventspils University College

decides:

1. Approve the submitted accreditation materials of “Master’s Degree Study Programme in Natural Sciences: Computer Science (Mathematic fundamentals of computer science and satellite information data processing systems)” in compliance with the appendix.

2. Recommend submission of the mentioned materials to Accreditation Commission of Ministry of Education and Science (Republic of Latvia) for evaluation and decision.

3. Assign Prof. Juris Žagars, Head of Master’s Degree Study Programme, as the person in charge of accreditation of the programme and entitle him to fulfill the related procedures.

Head of Senate V. Rudziša

G. Maliņa 3628303

166

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