ACADEMIC STUDY PROGRAMMEAUTOMATION AND COMPUTER

ENGINEERINGSELF-ASSESSMENT REPORT

(DOKTOR’S DEGREE STUDY PROGRAMME)

Riga Technical UniversityFaculty of Computer Science and Information TechnologyInstitute of Automatic Control and Computer Engineering

Riga, 2003TABLE OF CONTENTS

1. GENERAL DESCRIPTION OF RTU STUDY PROGRAMME IN AUTOMATION AND COMPUTER ENGINEERING........................................................................................32. OBJECTIVES AND TASKS OF DOCTOR’S DEGREE STUDIES IN AUTOMATION AND COMPUTER ENGINEERING........................................................................................43.GENERAL DESCRIPTION OF DOCTOR’S DEGREE STUDY PROGRAMME..............5

3.1. Structure of the Study Programme..................................................................................53.2. Content of the Study Programme, Duration of Studies and Amount of Courses...........63.3. Elaboration of the Doctor’s Work...................................................................................8

4. ADVERTISING AND INFORMATION BOOKLETS ABOUT STUDY OPPORTUNITIES.....................................................................................................................85. EVALUATION OF STUDY PROGRAMMES’ PROSPECTIVES.....................................8

5.1. Study Programme’s Compliance with Academic Education Standards.........................95.2.Study Programme Evaluation by Employers.................................................................11

6. ASSESSMENT OF STUDY PROGRAMME.....................................................................116.1. Organisation of the Study Programme..........................................................................116.2.Practical Implementation of the Study Programme.......................................................11

6.2.1.Teaching Methods...................................................................................................116.2.2. Resource Assessment for the Implementation of the Programme.........................126.2.3. Student Involvement in the Research Work...........................................................13

6.3. Evaluation System.........................................................................................................166.4.Students..........................................................................................................................17

6.4.1. Number of Students in the Study Programme........................................................176.4.2. Student Surveys and Evaluation of Them..............................................................176.4.3. Student Participation in the Improvement of the Study Process............................18

6.5. Academic Staff of the Study Programme......................................................................186.5.1. Qualifications of the Academic Staff.....................................................................186.5.2. Academic Staff Renewal and Development Policy...............................................19

6.6. Financing of the Study Programme...............................................................................196.7. Cooperation in the Implementation of the Study Programme......................................19

6.7.1. Cooperation with Employers..................................................................................196.7.2. Cooperation with Similar Study Programmes........................................................196.7.3. Comparison of the Study Programmes Between Different Universities...............20

6.8. Development Plan of the Study Programme.................................................................257.SUMMARY..........................................................................................................................27

Appendixes Appendix 1. Course Descriptions of Doctor’s Degree Study Programmes 1.1. Academic Study Programmes for Doctor’s Degree 1.2. Course Descriptions for Doctor’ s Degree Studies Appendix 2. RTU Doctorate Studies 2002/2003Appendix 3. Advertising and Information Booklets about Study Opportunities Appendix 4. Results of Employers’ Survey Appendix 5. Scientific Publications of Academic Staff Appendix 6 . Curriculum Vitae of Academic Staff Appendix 7. Results of Students’ SurveyAppendix 8. Comparison of Other University Study Programmes

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Appendix 9. On Continuing Doctor’ s Degree Studies in Case of Abolishing the Programme

1. GENERAL DESCRIPTION OF RTU STUDY PROGRAMME IN AUTOMATION AND COMPUTER ENGINEERING

Study programme “Automation and Computer Engineering” of the Riga Technical University has the academic study branch (Bachelor’s Degree, Master’s Degree and Doctor’s Degree studies) and the engineer study branch: engineer training for Bachelors and practical engineer training for those who have acquired a secondary education. According to the Act of the Riga Technical University Senate passed on 27 January 2003, the engineer studies’ programmes must be changed into professional Bachelor’s Degree study programmes. This transition is expected to take place in 2003/04.

Structure of the study programmes is shown in Picture 1: Applicants with general secondary education

Picture 1. Structure of the Study Programme in Automation and Computer Engineering.

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RTU ProgrammeAUTOMATION AND COMPUTER

ENGINEERING

Bachelor’s Degree Study Programme(3 years, 122 credits)

Master’s Degree Studies:(2 years, 81 credits)

Image Processing and Computer Graphics

Computer Engineering and Networks

Computer Control Systems

Professional Education (Engineer with Bachelor’s Degree Training):

(2 years, 80 credits) Image Processing and Computer

Graphics Computer Engineering and

Networks Computer Control Systems Control Technology

Other related programmes

Doctor’s Degree Studies:(3 years, 144 credits)

Image Processing and Computer Graphics

Computer Engineering and Networks

Computer Control Systems Decision Support Systems Mathematical Modelling

The RTU study programme in Automation and Computer Engineering is carried out by the Institute of Automatic Control and Computer Engineering (IACCE) of RTU Faculty of Computer Science and Information Technology (FCSIT) in collaboration with other RTU departments.

IACCE consists of: - Professor's Group of Image Processing and Computer Graphics (IPCG) managing the

profile of the same title;- Department of Automatic Control (AC) managing the Control Technology profile; - Professor's group of Computer Networks (CN) managing the Computer Engineering

and Networks profile;- Professor's group of Computer Control Systems (CCS) managing the Computer

Control systems profile; Bachelor’s Degree, Master’s Degree and Doctor’s Degree study programmes cover the content and curriculum of the studies, their evaluation requirements and procedures, matriculation conditions and their evaluation requirements and procedures, as well as the academic, material and financial resources required for completing the study programme. Course descriptions of the Doctor’s Degree study programmes can be found in Appendix 1 "Course Description of Doctor’s Degree Studies".

Study programmes are interconnected and built in such a way that the Bachelor’s Degree study programme in Automation and Computer Engineering provides students with the basic knowledge, while the Master’s Degree study programme - with the in-depth knowledge of computer control systems, computer engineering and networks, image processing and computer graphics theory. The Doctor’s Degree study programmes provide scientific education for obtaining the Doctor's Degree of Engineering Science in Information Technology and for performing the scientific research work in economics, finance, business, power engineering, transport and communications and social field (medicine, publishing, education), where computer graphics and image processing, computer control or computer engineering and networks and mathematical modelling can be applied.

The curricula and the processes of academic study programmes are run in accordance with the RTU Constitution (Satversme), RTU Senate and Study Department Acts, as well as other legal documents.

The scope of the study programme is calculated in credits. The annual scope is 40 credits. 1 credit corresponds to one study week, i.e. 40 lessons of student’s work, including 16 contact lessons in the auditorium comprising 40% of the total scope of studies.

2. OBJECTIVES AND TASKS OF DOCTOR’S DEGREE STUDIES IN AUTOMATION AND COMPUTER

ENGINEERING

The objective of the Automation and Computer Engineering study programme is to provide the scientific education after obtaining the Master’s Degree, which would correspond to the Doctor’s Degree of Engineering Science in Information Technology field, and prepare

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highly qualified professionals for independent scientific work at universities and scientific institutions in the field of Information Technology of Engineering Science.

In order to achieve this objective, the study programmes have the following tasks: Provide in-depth knowledge in relevant fundamental subjects of informatics; Provide in-depth knowledge in theoretical methods and practical use of computer control; Provide skills of applying theoretical knowledge for defining specific tasks in the New

Technology field; Provide theoretical knowledge complying with the Doctor’s Degree Study Plan; Provide scientific research skills, i.e. skills of experimental research in the selected topics,

skills of literature analysis in the field of new technology required for image processing and computer graphics, computer networks, computer control and decision making, as well as mathematical modelling;

Teach students to take advantage of computers and relevant software for building new softwares required for solving the scientific research tasks.

Implementation of tasks can be assessed by: Participation in the scientific research work; Participation in the scientific seminars and conferences; Participation in the student organisations; Employers’ feedback on graduates.

Degree obtained – Doctor of Engineering Science.

3.GENERAL DESCRIPTION OF DOCTOR’S DEGREE STUDY PROGRAMME

3.1. Structure of the Study ProgrammeDoctor’s Degree study programme is built in such a way that it includes compulsory

courses, optional courses and the doctorate student’s work on the Promotion Work. Each doctorate student can select one of the following specialisation profiles:

1) Computer Control Systems, Decision Support Systems;2) Image Processing and Computer Graphics, Computer Engineering and Networks;3) Mathematical Modelling.There is a d Doctor’s Degree study programme corresponding to each profile.According to the Latvian Classificator of Science, the programme corresponds to the Information Technology field with the following sub-sectors: Computer Control; System Analysis, Modelling and System Design.

Computer Control (CC) profile is directed towards computer, microprocessor and microcontroller appliance in real-time systems for production units, robot, industrial and transportation system control.

Decision Support System (DSS) profile is directed towards decision-making in technical, financial and social systems.

Image Processing and Computer Graphics (IPCG) profile is directed towards the issues of computer graphics, pattern recognition, image processing, scene analysis and computer vision.

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Computer Engineering and Network (CEN) profile is directed towards computer architecture, signal and data processing in the computer systems and networks, network management and planning.

Mathematical Modelling profile is directed towards theoretic issues of creating mathematical models for different natural and technical processes, which are directly linked to solving diverse practical issues, being important for both: Latvia and other countries. The programme is divided into two sub-profiles: Convective MHD Flows and Flows in Intense Fields; Mathematical Problems of Non-destructive Control.

The study programmes is made in such a way, that the majority of subjects of one study programme is common for all the profiles (compulsory courses) and part of courses are specially designed for a particular profile.

3.2. Content of the Study Programme, Duration of Studies and Amount of Courses

Duration of studies is 3 years with 144 credits required.Courses of the Doctor’s Degree study programme in Automation and Computer

Engineering are divided into four groups:Group A – compulsory courses comprising 15 of the total number of credits required;Group B – optional courses comprising 15 of the total number of credits required;Group C – language courses comprising 6 of the total number of credits required;Group D – free choice courses comprising 6 of the total number of credits required.

Study programmes by profiles:

1) Computer Control Systems, Decision Support Systems:

A. Compulsory Courses 15 Credits1. Intelligent Computer Technology and Systems 5 Credits2. Structure Modelling of Technical and Biological Systems 10 CreditsB. Optional Specialisation Courses 15 Credits

1. Artificial Neuron and Neural Networks 10 Credits2. Evolutionary and Genetic Algorithms 10 Credits3. Diagnostics of Non-interrupted Systems by Digraph 10 Credits4. Computer Technology for Biomedicine 10 Credits5. Fuzzy Logic and Inference 5 Credits6. Intelligent Decision Support Systems 5 Credits7. Medical Information Systems 5 Credits8. Decision Support Systems in Medicine 5 Credits

C. Languages 6 Credits1. English 6 Credits2. German 6 CreditsD. Free Choice Courses 6 Credits Free Choice Courses 6 CreditsE. Scientific Work 102 Credits Scientific Work 102 Credits TOTAL: 144 Credits

2) Image Processing and Computer Graphics, Computer Engineering and Networks:

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A. Compulsory Courses 15 Credits1. Advanced Technology of Networks 7 Credits2. Modern Methods in Computer Graphics, Image Processing and Scene Analysis 8 Credits

B. Optional Specialisation Courses 15 Credits

3. Testing and Signal Processing Methods 15 Credits4. Computational Methods in Scientific Researches 5 Credits5. Pattern Recognition and Image Processing 10 Credits6. Simulation Technology of Computer Networks 15 Credits

C. Languages 6 Credits1. English 6 Credits2. German 6 CreditsD. Free Choice Courses 6 CreditsE. Scientific Work 102 Credits TOTAL: 144 Credits

3) Mathematical Modelling:

A.Compulsory Courses 15 Credits1. Mathematical Physics 5 Credits2. Methods and Algorithms of Mathematical Modelling 10 Credits

B. Optional Courses 15 Credits1. Mathematical Problems in Eddy Current Non-Destructive Evaluation 5 Credits2. Dynamics of Viscous Flows and Magneto Hydrodynamics 5 Credits3. Complex Variables with Applications 10 Credits4. Special Functions 10 Credits5. Methods of Solution of Non-Linear Equations and Systems of Non-Linear Equations 10 Credits6..Variational Methods in Mathematical Physics 10 Credits7. Analytical and Numerical Methods for Solution of Integral Equations 10 Credits8. Structure Modelling 10 Credits9. Diagnostics of Non-interrupted Systems by Digraph 10 Credits10. Evolutionary and Genetic Algorithms 10 Credits11. Intelligent Decision Support Systems 10 Credits12. Computer Technology for Biomedicine 10 CreditsC. Languages 6 Credits1. English 6 Credits2. German 6 CreditsD. Free Choice Courses 6 CreditsFree Choice Courses 6 CPD. Scientific Work 102 CreditsScientific Work 102 Credits TOTAL: 144 Credits

The RTU Senate’s approved Doctor’s Degree Study Programmes, as well as the Study Course Descriptions are provided in Appendix 1. (p.1.1.,1.2.).

3.3. Elaboration of the Doctor’s Work For obtaining the Doctor’s Degree of Engineering Science in Information Technology

field a student has to complete the Doctor’s Degree study programme and defend the

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Promotion (Doctor’s) Work at the scope of 102 credits. The evaluation criteria of the Promotion Work and the promotion procedures are stipulated by the Latvia Republic Cabinet of Ministers Regulations No 134 passed on 6 April, 1999, which have been elaborated by the State Scientific Qualification Commission (SSQC). General requirements for the Promotion Work as well as the its layout are described in the By-Law on Assigning the Doctor’s Degree in Riga Technical University, approved by the RTU Senate on 31 March, 2001, Minutes No 476 (see Appendix 2), and in the RTU book “RTU Doctor’s Degree Studies 2002/2003”, Riga-2003. Promotion Work must be publicly defended at Information Technology Promotion Council in RTU P-07, which operates under the RTU Faculty of Computer Science and Information Technology.

4. ADVERTISING AND INFORMATION BOOKLETS ABOUT STUDY OPPORTUNITIES

There is an information booklet "The Riga Technical University. Institute of Automatic Control and Computer Engineering" in Latvian and English, which provides information about the study programme in Automation and Computer Engineering.

Every year the Institute of Automatic Control and Computer Engineering participates in the fair "School XX", therefore new information booklets on the Institute are developed and offered annually. Information about study programmes offered by the Institute is published annually in the booklets “Education Guide” and “University Education in Latvia and Abroad” (see Appendix 3).

Information about the Faculty and the Institute can be found in the home pages www.rtu.lv and www.cs.rtu.lv/DADI.

In 2002, there was a commercial made in the IACCE about the Faculty of CSIT and its Institutes with full information about study opportunities.

In 2003, the IACCE participated in the International Information Technology, Telecommunications and Office Solutions Fair "Baltic IT&T 2003” with the exhibit “Intelligent Computer System for TERHYP Therapy Selection”.

5. EVALUATION OF STUDY PROGRAMMES’ PROSPECTIVES

It is effective to train all kinds of specialists of automation and computer engineering in Latvia, since the demand of the Latvian labour market is not satisfied, and due to the lack of financing it is practically impossible to train the required number of specialists abroad.

5.1. Study Programme’s Compliance with Academic Education Standards

Academic study programmes for Doctor’s Degree are developed in accordance with the RTU Senate Act of 30.10.2000 “On By-Law on Riga Technical University Doctor’s

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Degree Studies”, approved on the RTU Senate Meeting on 30.04.2001, Minutes No 458 and accredited by the Certification Committee Meeting’s Act of 4 July 2001 (Act No 375).

Academic study programmes for Doctor’s Degree are inseparable part of the Riga Technical University (RTU) study process. All leading European technical universities provide such study programmes. RTU possesses the intellectual and technological potential required for the qualitative implementation of these study programmes.

The study programmes comply with the standards of academic education.The programmes correspond to the Information Technology field (sub-sections:

Computer Control, Modelling and System Design) stated in the Latvian Classificator of Science.

The Computer Control System’s profile emerged after the technologically developed countries implemented the flexible computerised production (which still dominates), which starts with computer-aided design (CAD), continues with computer-aided manufacturing (CAM) and finishes with computerised control and diagnostics.

Computer control systems (previously known as programmable control, digital control) separated from the classical analogue operation automation as discrete operation systems to become a separate field. Now it serves as a link between the technological process control and the computerised control units (planning departments, accounting departments, traffic control service and management offices). . The computer control systems have witnessed a rapid development. After being originally introduced in the machine building industry (e.g., in the completely automated factory - Fuji Complex - in Japan in 1980) it found its place in other industries as well - timber industry, clothing and knitted fabric production (e.g., Ogre Knitwear Factory), food industry, etc. The computer control systems have rapidly spread in the transportation systems and transit services as well: in electrical transmission, in gas and oil pipeline and tank operation, in tanker loading operations (e.g., Ventspils Oil Terminal, Port Factory etc.).

The computer control systems have rapidly spread in such untraditional fields as microclimate control of big office spaces (sports halls, the Presidential palace, banks, railway stations, airports), medical equipments (starting with veloergometer control and ending with magnetic resonance systems (MRI), heart monitoring and endoscopes control), agriculture (field irrigation, perfusion, fertilisation control, cattle and poultry farm management).

There are well-known computer control and process visualization software packages, such as Factory Link and Intouch for economics and NegFry99 and Powersim for agriculture. Among CAD type software, the most popular one is Cadkey 98, while among the CAD/CAM type software - Mastercam. There are specialised micro controller series produced for computer control systems, such as Simatic, Modicon, Toshiba, ABB etc. with the expanded peripheral device system.

Scientific topics of Doctor’s Degree students of the Computer Control and Decision Support profile cover complicated systems’ treatment, quality improvement, security enhancement and maintenance tasks. Historically, the solutions of these problems were commenced in the 70-ies of the XX century through the development of pattern recognition theory and diagnostics. Now they are formulated as system treatment tasks, where diagnostics and pattern recognition are followed by making a decision on activities required for treatment and quality improvement. Decision support systems are based on artificial intelligence (expert systems, neural networks, genetic algorithms etc.). As a result, the Doctor’s Degree students carry out the scientific work at the theoretical level and create computer control products based on the artificial intelligence theory for system management and treatment .

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Computer Engineering and Network profile within the programme “Automation and Computer Engineering” has experienced a rapid development in the Institute of ACCE since 1998. The study profile consists of three parts - Computer Networks and System Architecture (including the organisation of advanced device platforms), Software and Hardware Joined Design (ISDN, SONET, ATM, hybrid wireless networks), and Methods and Means of Information Technology Network (signal processing, network and system modelling, multimedia, telematics). A characteristic feature of the profile programmes of all levels is that they cover research and approbation of modern design and testing methods linking computer networks and system hardware and integrating them into software application systems, protocols and standards. The topicality of the integrated approach is obvious, compared to acquisition of knowledge solely on software platforms and their appliance or hardware of highly specialized firms. In this respect, the profile to be developed is not trivial, but is a distinctive feature of technical universities. The Riga Technical University is the only university in Latvia providing the professional engineer's education, as well as academic education of Master’s and Doctor’s Degree in this study profile. This study profile may serve other study profiles of Automation and Computer Engineering programme as a tool for maintaining the resources of communication and control management.

The Image Processing and Computer Graphics is of current interest as a pedagogical and academic branch.

The Image Processing and Computer Graphics profile may be divided into three conditional parts: Image Processing and Scene Analysis, Computer Vision and Computer Graphics. These parts are very tightly interconnected and it is difficult to draw a clear border between them. Therefore, all the parts of the respective study profile are reviewed in relation with each other. The acquired knowledge allows to successfully solve various practical tasks related to the appliance of computer graphics in advertising and publishing, image processing, scene analysis and computer vision for medical and technical diagnostics, cartography, criminology, etc. Medical diagnostics (as well as criminology etc.) experiences problems related to developing new and efficient methods for image quality improvement, which are important not only for Latvia, but also for other countries. Currently, RTU is the only university in Latvia preparing this type of specialists. There is a high demand for RTU graduates and students of Image Processing and Computer Graphics study profile in the Latvian labour market. Therefore, our specialists are employed also in other educational establishments (e.g. as a teacher at the Latvian Academy of Agriculture). Thus, it is necessary to prepare specialists for independent scientific work at universities and scientific institutions in the field of Information Technology.

Mathematical Modelling profile is quite up-to-date and directed towards theoretical and practical issues of creating mathematical models for different natural and technical processes. Mathematical Modelling profile is divided in two parts: Convective MHD Flows and Flows in Intense Fields and Mathematical Problems of Non-Destructive Testing.

5.2.Study Programme Evaluation by EmployersAcademic study programme for Doctor’s Degree in Automation and Computer

Engineering have been positively evaluated by the employers (see Appendix 4). Only three employers participated in the survey, as the study programme is very new, being launched only in 2001/02 and students have not graduated it yet. It must be mentioned that a last year’s

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student of Image Processing and Computer Graphics is employed by the Latvia Academy of Agriculture as a teacher. Thus, there is demand for highly qualified scientific specialists.

6. ASSESSMENT OF STUDY PROGRAMME

6.1. Organisation of the Study ProgrammeAcademic study programmes for Doctor’s Degree are made in accordance with the

Latvia Republic Cabinet of Ministers Regulations No 134 passed on 6 April, 1999: “By-Law on Promotion Procedures and Criteria”, Regulations of Higher Education Council on Elaboration and Implementation of Doctor’s Degree Study Programmes (Act No 62; 18.06.99) and the RTU Senate Act of 30.10.2000 “On By-Law on Riga Technical University Doctor’s Degree Studies” and accredited by the Certification Committee on 4 July 2001 (Act No 375).

No changes have been made in the Doctor’s Degree study programme during the reviewed period, as the new programmes were approved in the RTU Senate Meeting shortly before accreditation – on 30 April 2001, Minutes No 458,.

Currently, there are three Academic study programmes for Doctor’s Degree: 1) Image Processing and Computer Graphics, Computer Engineering and Networks, 2) Computer Control Systems, Decision Support Systems and 3) Mathematical Modelling. This allows the Doctor’s Degree students to choose a specific specialisation.

During the elaboration period of the study programme, it was reviewed in the Institute of ACCE Board Meeting and CSIT Faculty Council Meeting with participation of the representatives of the Faculty’s Student Parliament.

6.2.Practical Implementation of the Study Programme

6.2.1.Teaching MethodsThe Doctor’s Degree study programme is carried out in the classical style consisting of

lectures, scientific seminars, individual work according to individual plans, pedagogical in-house training.

Overhead projectors and transparent films are used in the lectures. The co-operation with specialists from other fields has become particularly wide-spread in scientific works, e.g. during the process of improving the medical image, there was a co-operation with doctors from Pauls Stradins Hospital.

Doctor’s Degree students give scientific lectures related to scientific research at the seminars, which are also published in the latest specialised modern technical magazines (e.g. Pattern Recognition 2000-2003 and others).

Multimedia and Internet is being used in scientific work.

Institute of ACCE Doctor’s degree students have the opportunity to use the latest modern literature, which currently cannot be found in other libraries (e.g., Роджерс Д., Адамс Дж. Математические основы машинной графики (D.Rogers, G.Adams, Mathematical

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Elements for Computer Graphics), Москва, «Мир», 2001., E.Davies. Machine Vision: Theory, Algorithms, Practicalities. 2nd Edition, Academic Press, 1997 etc.).

6.2.2. Resource Assessment for the Implementation of the ProgrammeThe implementation of the programme is linked to the material resources of the FCSIT

and Institute of ACCE. Teaching process of the Doctor’s Degree studies in Automation and Computer Engineering, as well as independent studies take place in 3 computer rooms at the FCSIT Computer Centre:- 16 items: HP Vectra VL Pentium III, monitor HP 19”, OS Windows 2000;- 12 work stations: ( Sun SPARC Station 20, Solaris 2.5);- 15 work stations and server ( Sun SPARC Station 10, Solaris 2.6);- 8 work stations and server ( Pentium II 400, Windows 2000);- 20 items: HP Celeron 6000;- virtual private network (VPN) at the Institute of Electronics and Computer Science

(IECS) at Dzērbenes 14 ( PentiumIV – 2 PC’s, Pentium III – 1 PC, IBM 133 – 1 PC, AMD 5X86 – 1 PC).

There are 6 work stations provided with the Pentium type computers ( 750MHz, RAM128 MB) for the staff and students for research work and project implementation.

LATNET server resources, as well as 2 computer rooms at stock company A/S VAR are used for practical lessons in Automation and Computer Engineering. The access to Internet for students and staff is provided through the 2Mbit/s Radio Link.

The following laboratories are at IACCE disposal: electrical measurement lab, sensor equipment lab, automatic control lab and programmable logic controller (PLC) lab.

Labs are equipped with: 3 PLC controllers Modicon Micro, 10 PLC controllers SIMATIC CPU 212, 10 PLC controllers, text displays TD 200, 11 analogue input-output units, 5 licensed software packages CADkey 98, software package Mastercam 5.0.

The IACCE material and technical resource improvement in 2001 - 2003 took place in three directions:

1. updating and upgrading the hardware;2. refitting the premises, procuring the new furniture;3. developing the study and methodical materials. Compared to the previous period, the number of PC’s has been increased by 4 units –

Athlon XP – 1600 – 2 units ( video Card GeForce 3, Monitor 19”, OS – Windows XP, Windows 2000) , AMD Duron 750 - 2 units, graphical packages 3D Studio Max, Solid Thinking, Cinema 4D etc.

In 2002, there was a new teaching lab fitted in collaboration with SIEMENS – SIEMENS Automation Technology Classroom (certified in 16 May, 2002). The lab is equipped with modern equipment of European standards. The lab is used for providing the course for Doctor’s Degree students in Programmable Logic Controllers PLC.

The following compendia of lecture notes are prepared for publishing: Z.Markovičs. Ekspertu novērtējumu sistēmas (Systems of Expert Approval), Part I – Advanced Evaluation, Part II – Advanced Voting Systems. Part III – Advanced Decision Making Systems .

Theoretical lessons take place in RTU at Meža iela 1 and in Ķīpsala, at Āzenes iela.

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Learning process is mainly aided by textbooks from the RTU Library with approximately 2 million items (circa half of them are textbooks) in its total collection. The RTU Library has a computer room with 8 work stations connected to the Latvian library database ALRPH and Internet. Scientific literature is collected also in small reading-rooms of Professors’ Groups containing textbooks, magazines and materials from conferences.

The technical equipment of the computer rooms and laboratory allows to achieve the objectives set for the programme. However, due to the very rapid hardware and software development and limited procurement of licensed software due to the lack of financing, the implementation of the above objectives becomes more difficult every year.

6.2.3. Student Involvement in the Research WorkDuring the reviewed period, the following LSC grants were granted to the Institute’s teachers of Doctor’s Degree studies:

Nr. 01.0866 Computer Control for Correcting and Recovering of Systems Functions, supervised by Prof. Z.Markovičs;

Nr. 01.0860 The Work out of Algorithms for Transport Local Adaptive Control, supervised by Assistant Professor A.Ozols;

Nr.01.0854 Developing of Methods for Medical Images Enhancement and Recognition, supervised by Prof. A.Glazs;

Nr. 01.0856 Design of Integrated Multimedia Systems for Local Open Networks, supervised by Assistant Professor M.Ziema;

Nr.01.0032 Design and Test of Mixed Signal Systems (MSS) for Multimedia Implementations, supervised by Prof. V.Zagurskis.

Nr.01.0578 Numerical and Analytical Solution of MHD Problems in Strong Magnetic Fields and Electrodynamic Problems, supervised by Prof. M.Antimirovs;

Nr.01.0846 Development of Artificial Neural Networks to Solve of Forecasting, Classification and Decision-Making Tasks, supervised by Prof. A.Borisovs.

IACCE Doctor’s Degree students – J.Šļamovs, A.Lubāns, A.Riekstiņš, E.Stalidzāns and others have also contributed to the above mentioned works at different stages. The students presented the results of the above scientific works in seminars and conferences, and the following articles were also published (see Appendix 5):

1. A.Glazs, J.Šļamovs. Ansambļa vidējā lieluma algoritmu uzlabošana tiešās izplatīšanās neironu tīklos. RTU Zinātniskie raksti. Datorzinātne. (A.Glazs, J.Šļamovs. Extended Ensemble Averaging Algorithm in Feed-Forward Neural Networks, Scientific Proceedings of RTU. Computer Science) Series 5. Volume 6. 2001.

2. A.Glaz, Y.Shlamov. Committee Methods for Recognition Reliability Enhancement in Feed-Forward Neural Networks. Proceedings of 16th International Conference on Production Research (ICRR-16), 29 July-3 August 2001, Prague, Czech Republic.

3. A.Glazs, A.Lubāns. Radioizotopās scintigrāfijas attēlu iegūšana no divu projekciju sākotnējiem attēliem. RTU Zinātniskie raksti. Datorzinātne. (A.Glazs, A.Lubāns. Analysis of the Mathematical Models for Correcting of Radioisotope Scan’s Images, Scientific Proceedings of RTU. Computer Science), Series 5. Volume 6. 2001.

4. А.Глаз, Ю.Шлямов, С.Ярцева. Применение нейронных сетей для распознавания лиц. Докл. 10 Всероссийской конференции « Математические методы

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распознавания образов (ММРО-10)», Российск. Акад. Наук, Москва, 2001. (A.Glaz, Y.Shlamov, S.Yartseva. Applying Neural Networks for Face Recognition. Report at 10th

All-Russian Conference “Mathematical Methods for Pattern Recognition (MMPO-10)”, Russian Academy of Science, Moscow, 2001).

5. A.Glazs, A.Lubāns. Attēlu iegūto ar radioizotopo scintigrāfiju, korekcijas matemātisko modeļu analīze. RTU Zinātniskie raksti. Datorzinātne (A.Glazs, A.Lubāns. Analysis of Mathematical Models for Correction of Images Obtained Through Radioisotope Scan. Scientific Proceedings of RTU. Computer Science), Series 5. Volume 11. 2002.

6. A.Lubans, A.Glaz. The Processing of Images at Radioisotope Scan. Proceedings of the International Federation for Medical and Biological Engineering. 2-nd European Medical and Biological Engineering Conference (EMBEC’02). Part 1, December 2002, Vienna, Austria.

7. A.Eriņš, A.Riekstiņš, V.Zagursky. Self-synchronized High Speed Decoding Subsystems, 2-nd European Interdisciplinary School of Non-linear Dynamic for System and Signal Analysis, EUROATTRACTOR 2001, Warshaw, 19-28 June, 2001, pp.47-52.

8. A.Riekstiņš, V.Zagurskis. Virtuālo tīklu parametru novērtēšana balss datu pārraides vajadzībām. RTU Zinātniskie raksti. Datorzinātne. (A.Riekstiņš, V.Zagurskis. Network Parameter Estimation for Voice Data Transmission in Virtual Private Networks. Scientific Proceedings of RTU. Computer Science), Series 5, Volume 11, Riga, 2002.

9. A.Riekstiņš, V.Zagurskis. Tīklu struktūras izveide augstākās mācību iestādes vajadzībām. RTU Zinātniskie raksti. Datorzinātne. (A.Riekstiņš, V.Zagurskis. Intranet Structure for Higher Education Needs. Scientific Proceedings of RTU. Computer Science), Series 5. Volume 6. 2001.

10. Z.Markovičs, E.Stalidzāns. Mērķa funkcijas noteikšanas variants bioloģisku objektu vadībai. RTU Zinātniskie raksti. Datorzinātne. (Z.Markovičs, E.Stalidzāns. Variant of Determination of Target Function for Control of Biological Objects. Scientific Proceedings of RTU. Computer Science), Series 5. Volume 6. 2001.

11. Z.Markovičs, E.Stalidzāns, A.Bērzonis. Modelis bišu ziemotavu efektivitātes noteikšanai dažādos klimatiskajos apstākļos. RTU Zinātniskie raksti. Datorzinātne. (Z.Markovičs, E.Stalidzāns, A.Bērzonis. Model for Determination of Efficiency of Bee Wintering Buildings under Different Climatic Circumstances. Scientific Proceedings of RTU. Computer Science), Series 5. Volume 11. 2002.

12. Z.Markovičs, E.Stalidzāns, A.Bērzonis. Racionālas vadības noteikšana bišu ziemotavas temperatūras regulēšanai. RTU Zinātniskie raksti. Datorzinātne.(Z.Markovičs, E.Stalidzāns, A.Bērzonis. Determination of Rational Control of Temperature of Bee Wintering Buildings. Scientific Proceedings of RTU. Computer Science), Series 5. Volume 11. 2002.

13. Z.Markovičs, I.Markoviča, J.Makarovs. Alternatīva koncepcija terapijas izvēlei. RTU Zinātniskie raksti. Datorzinātne (Z.Markovičs, I.Markoviča, J.Makarovs. The Alternative Conception on Therapy Selection. Scientific Proceedings of RTU. Computer Science), Series 5. Volume 11. 2002.

14. Bikesheva G., Borisov A. Fuzzy Decision Trees: Methods and Problems. Scientific Proceedings of Riga Technical University. Computer Science. Information Technology and Management Science, Series 5, Vol. 10, Riga, 2002, P.10-19.

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15. Magdisyuk I. Using the Cascade – Correlation Algorithm to Evaluate Investment Projects. Informatika, Vol.12, N1 , Institute of Mathematics and Informatics, Vilnius, 2001, P.101-108.

16. Ozols J., Borisov A. Fuzzy Classification Based on Pattern Projections Analysis. Pattern Recognition, Vol 34(4), Elsevier Science Inc., 2001., P.763-781.

17. Borisov A., Ozols J., Grekov R. Construction of Features and Decision Rules in Fuzzy Pattern Recognition Tasks. International Journal of General Systems, Vol.30(1), Overseas Publishers Association, 2001., P.23-43.

18. Корниенко Ю.В., Борисов А.Н. Экспериментальный анализ эффективности индуктивного алгоритма CART2. Автоматика и вычислительная техника, N1 , Рига, 2001, С.34-42. (Y.V.Korniyenko, A.N.Borisov. Experimental Analysis for Efficiency of Inductive Algorithm CART2. Automation and Computer Engineering, No1, Riga, 2001, p.34-42.

19. Kornijenko J.,Dzenis J., Borisov A. Using Methods of Inductive Learning to Forecast Spontaneous Intracerebral Extravasation. Scientific Proceedings of Riga Technical University. Series 5 Computer Science. Volume 5 “Information Technology and Management Science“.RTU Press, Riga, 2001.,lpp.70-77.

20. Takahashi A., Borisov A. Investigation of Decision Strategies in Evolutionary Optimisation. Seventh Scandinavian Conference on Artificial Intelligence, SCAI'01, IOS Press, Odense, Denmark, February 20-21, 2001, P.123-132.

21. Magdisyuk I. Time Series Prediction by Cascade-Correlation Neural Networks. Seventh Scandinavian Conference on Artificial Intelligence, SCAI'01, Odense, Denmark, February 20-21, 2001, P.165-166.

22. Takahashi A., Borisov A. Decision Strategies in Evolutionary Optimisation. International Conference “Computational Intelligence: Theory and Applications“, 7th Fuzzy Days, Dortmund, Germany, October 1-3, 2001, P.345-356.

23. E.Ligere. On a Dependence Between the Smoothness of the Boundary Velocity of the Fluid and the Full Pressure Force at the Entrance of the Region. Scientific Proceeding of Riga Technical University. Series-Computer Science. 43rd thematic issue.2001.

24. Antimirov M. , Dzenite I. Evaluation of New Classes of Definite Integrals and its Applications to Eddy Current Testing. Scientific Proceedings of Riga Technical University Series 5: Computer Science, Thematic Issue 43: Boundary Field Problems and Computer Simulation, vol.7, Riga Technical University, ISSN 1407- 7493, Riga, 2001, pp. 32-39.

25. Antimirov M., Dzenite I. Exact Solution of the Problem on the Vector Potential of a Rectangular Frame with Current. Scientific Proceedings of Riga Technical University, Series 7: Telecommunications and Electronics, vol.1, Riga Technical University, ISSN1407-8880, Riga, 2001, pp.115-123

26. Antimirov M., Dzenite I. Exact Solution of the Problem on the Vector Potential of a Wire of Finite Length Current by Integral Transforms. Scientific Proceedings of Riga Technical University, Series 5: Computer Science, 43 th thematic issue: Boundary Field Problems and Computer Simulation, vol.7, Riga Technical University, ISSN 1407-7493, Riga, 2001, pp. 40-47.

27. Maksimilian Antimirov, Elena Ligere, Anna Panfjorova. Supplementary Mathematics. RTU, 2002.

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28. Antimirov M., Dzenite I. New Formula for Impedance Change in the Three- dimensional Case. Scientific Proceedings of Riga Technical University, Series 5: Computer Science,44th thematic issue: Boundary Field Problems and Computer Simulation, vol.7, RigaTechnical University, ISSN 1407-7493, Riga, 2002, pp. 48-53.

29. Antimirov M., Dzenite I. Exact Solution for the Problem on Impedance Change of a Rectangular Frame with Current Inside a Cylindrical Tube. Scientific Proceedings of Riga Technical University, Series 5: Computer Science, 44th thematic issue: Boundary Field Problems and Computer Simulation, vol.7, Riga Technical University, ISSN 1407-7493, Riga, 2002, pp. 54-62.

30. Antimirov M., Dzenite I. Exact Solution to the Problem on the vector potential of anArbitrary Form Wire with Given Current. Scientific Proceedings of Riga Technical University, Series 7: Telecommunications and Electronics, vol. 1, Riga Technical

University, ISSN 1407-8880, Riga, 2002, pp.78-84.

In 2001/02, a Master’s Degree student (currently – the Doctor’s Degree student), J.Makarovs, was awarded the A/S “Grindeks” Annual Prize for New Scientists for his work “Computer System for Therapy Selection” (supervised by Z.Markovičs). Doctor’s Degree students E.Stalidzāns and A.Takahaši participated in the competition and were awarded the LSC Grants for Doctor’s Degree Students.

6.3. Evaluation System

Evaluation of achievements is carried out in accordance with the Instruction No 3–10 On Transition to the Unitary Grading System in Latvia, passed on 16 January 2001 by RTU Rector.

The goals of the study programme together with their achievements can be found in Table 1.

Table 1Evaluation Systems for Goal Achievement of the Study Programme

Goals Evaluation System1. Knowledge acquired for graduates

(Doctors): Theoretical knowledge relevant to the

Doctor’s Degree of Engineering Science in Information Technology must be acquired for performing the respective professional tasks;

1. Grades of exams, study works and reports;

2. Skills and abilities required: Research work skills; Skills to apply the theoretical knowledge

for defining and solving the specific non-standard tasks;

Ability to use computers and relevant software together with other IT

2. Independent research work and evaluation of its performance;Participation in various scientific competitions and prizes achieved;Giving speeches in various scientific seminars and conferences (incl. international);

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achievements for solving the above tasks;3. Graduates must be able to: Perform the functions of experts at the

relevant level; Continuously improve their scientific

qualifications and standards.

3. Standard of the Doctor’s Work and evaluation of the Promotion Work, as well as feed-back from employers.

Layout of the Doctor’s Work must comply with the documents stipulating the Doctor’s Degree studies “RTU Doctor’s Degree Studies 2001/2002” (RTU, 2002), By-Law on Assigning the Doctor’s Degree at Riga Technical University (approved on 31 March 2003 at RTU Senate Meeting), and RTU Directives on Layout of the Final Study Work (RTU, 2001). Defence of the Doctor’s Work takes place at the Promotion Council “RTU P-07” (Information Technology field).

6.4.Students

6.4.1. Number of Students in the Study ProgrammeAcademic study programme (Doctor’s Degree) in Automation and Computer

Engineering has the following number of students and graduates in academic years 2001/02 and 2002/03 (Table 2):

Table 2

Academic year

Number of students enrolled

in year 1

Number of students

Number of graduates

2001/2002 - 8 12002/2003 2 5

Doctorate student Ilona Magdisjuka has successfully defended her Promotion Work at RTU Promotion Council P-07 on 6.05.2002. Work Title: “A Study of Special Features of Cascade-Correlation Neural Network Application in Tasks of Classification, Forecasting and Safety”.

Doctorate student A.Takahaši has submitted her Promotion Work for interim review (before submitting it to the Promotion Council).

Doctorate students J.Kornijenko un I.Dzenīte have performed the theoretical part of Doctor’s Degree studies and at least 75% of Promotion Work is completed.

Forecast: in 2002/03 E.Stalidzāns will complete the theoretical part and carry out at least 75% of his Promotion Work.

6.4.2. Student Surveys and Evaluation of ThemAutomation and Computer Engineering studies are evaluated positively by Doctor’s

Degree students (see Appendix 7). Survey results show that the following question out of eleven questions: “to obtain the effective communications skills” was evaluated positively by

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66% students, while all the other questions were evaluated positively (positive in great extent; partly positive) by 75% (two questions) – 100% students.

It must be mentioned that the new study programme was launched only two years ago, therefore it is difficult for Doctor’s Degree students to evaluate it fully. Students of this programme have not graduated yet, therefore the graduates’ survey could not be carried out.

6.4.3. Student Participation in the Improvement of the Study ProcessResults of the student survey of the previous study programme were taken into

account when the new Doctor’s Degree study programme was developed. The new study programme was also reviewed at the FCSIT Council meeting with the student participation.

6.5. Academic Staff of the Study Programme

6.5.1. Qualifications of the Academic StaffDoctor’s Degree study programme is carried out by the academic staff of Institute of

ACCE with the following academic qualifications: 7 Professors – Professor, Dr.habil.sc.ing. A.Glazs, Professor, Dr.habil.sc.ing.

Z.Markovičs, Professor, Dr.habil.sc.comp. V.Zagurskis, Professor, Dr.habil.sc.comp. A.Borisovs, Professor, Dr.habil.sc.ing. J.Grundspeņķis, Professor, Dr.habil.phys. M.Antimirovs, Professor, Dr.math. A.Koliškins.

1 associated professor – Associated Professor, Dr.habil.sc.comp. A.Baums. 2 assistant professors – Assistant Professor, Dr.sc.ing. A.Ozols, Assistant Professor,

Dr.sc.ing. M.Ziema.

During the reviewed period, there were 7 LSC grants were granted to the Institute’s teachers:

Nr. 01.0866 Computer Control for Correcting and Recovering of Systems Functions, supervised by Prof. Z.Markovičs;

Nr. 01.0860 The Work out of Algorithms for Transport Local Adaptive Control, supervised by Assistant Professor A.Ozols;

Nr.01.0854 Developing of Methods for Medical Images Enhancement and Recognition, supervised by Prof. A.Glazs;

Nr. 01.0856 Design of Integrated Multimedia Systems for Local Open Networks, supervised by Assistant Professor M.Ziema;

Nr.01.0032 Design and Test of Mixed Signal Systems (MSS) for Multimedia Implementations, supervised by Prof. V.Zagurskis.

Nr.01.0578 Numerical and Analytical Solution of MHD Problems in Strong Magnetic Fields and Electrodynamic Problems, supervised by Prof. M.Antimirovs;

Nr.01.0846 Development of Artificial Neural Networks to Solve of Forecasting, Classification and Decision-Making Tasks, supervised by Prof. A.Borisovs.

Detailed information about the qualifications and professionalism of the academic staff can be found in Appendix 6 “Curriculum Vitae of Academic Staff”.

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Doctor’s Degree study programme’s teachers have participated in scientific seminars and conferences on regular basis. There were 47 teachers’ publications during the reviewed period (see Appendix 5).

6.5.2. Academic Staff Renewal and Development Policy As for the academic staff renewal, there have been 2 new assistants elected in 2002:

A.Lubāns and E.Stalidzāns, who currently study for obtaining the Doctor’s Degree. Currently, there is another doctorate student, A.Riekstiņš, employed by the Institute in the position of assistant. Institute of ACCE employs at least one new prospective employee in every profile – Image Processing and Computer Graphics, Computer Engineering and Networks and Computer Control Systems.

6.6. Financing of the Study Programme Automation and Computer Engineering studies have the following sources of

financing planned for 2001-2003:- State Budget;- Contributions of physical and legal entities.

6.7. Cooperation in the Implementation of the Study Programme

6.7.1. Cooperation with Employers Graduates of the Doctor’s Degree study programme are employed by such companies

as SIA “SIEMENS”, SIA “OLIMPS”, SIA “AMERILAT”, SIA “KLINKMANN VILLA” etc. Teachers have contacts with SIA “VAR”, SIA “ANDI”, SIA “IBM Latvija”, SIA “ELKO”, SIA “Schneider Electric”, Latvian Electro industry Business Innovation Centre, RTU Technological Park etc. Since 2002, the Master’s Degree student training has been carried out in the SIEMENS Automation Technology Classroom (Certified on 16 May 2002).

In order to attract highly qualified staff working with real projects, part time positions have been widely used. The training of Doctor’s Degree students is carried out in close cooperation with LU Institute of Electronics and Computer Science and companies SIA InfoServiss, SIA ANDI and SIA ELKO.

6.7.2. Cooperation with Similar Study Programmes IAECCE has a close cooperation with Kaunas Technological University in the fields

of medical image processing, biological process modelling and computer control. IACCE participates in the international project coordinated by Kaunas Technological

University “Medical Image Processing, Interpretation and Archiving” as one of the 26 partners.

IACCE also cooperates with Bremen Institute of Industrial Technology and Applied Work- BIBA) as one of the 18 partners in the project “Advancement of Digital Ophthalmology by IS – Technology “ (ADOPHIS).

IACCE cooperates with Eriksson GmbH as one of the 34 partners within the Integrated Project “ Integrated System for Mobile Health Care in Europe”.

All the three projects have been submitted to EC for review.

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Within the framework of Decision Support Systems profile, there is international co-operation with:

Germany – Dortmund University, Department of Computer Science I. Partner - Professor Dr.Bernd Reusch;

ELITE – European Laboratory for Intelligent Technologies. Aachen, Germany; Partner – Prof., Dr.habil.c. H.-J.Zimmermann;

EUNITE. European Network on Intelligent Technologies for Smart Adaptive Systems. Aachen, Germany; Partner – K.Lieven.

6.7.3. Comparison of the Study Programmes Between Different UniversitiesRiga Technical University Doctor’s Degree study programme in Automation and

Computer Engineering (profile: Image Processing and Computer Graphics, Computer Engineering and Networks) was compared to Manchester and Loughborough Universities (UK), which have similar structure and courses:- Manchester University Doctor’s Degree PhD (Eng.d.) study programme in Computer

Science.- Loughborough University PhD study programme in Computer Science.

Comparison of course groups in the form of diagram can be found on Picture 2. A detailed comparison of courses in the form of table can be found in Appendix 8..At Manchester University, the Doctor’s Degree study programme is divided into two

parts – courses at the scope of 60-70 credits and Doctor’s Work at the scope of 60 credits. The total duration of studies is 2 or 2.5 years.

Doctor’s Degree studies of Loughborough University contain courses at the scope of 60 credits and Doctor’s Work – at the scope of 60 credits. The degree can be obtained in 2-3 years.

Both universities provide individual supervision to each doctorate student, which corresponds to the RTU programme. The theoretical part is almost 1/3 bigger and the scope of Doctor’s Work – 40% smaller. The Work must be defended at the Council and it must have reviews at the Professor’s level, similarly to RTU.

The study programme of the both above-mentioned universities complies with the Doctor’s Degree requirements stipulated by the Latvian legislation.

Doctor’s Degree study programme in Automation and Computer Engineering (profile: Computer Control Systems, Decision Support Systems) of Riga Technical University was compared to the Doctor’s Degree programme in Artificial Intelligence of Catalonia Polytechnic University (Barcelona, Spain) and the Doctor’s Degree programme in Computer Science of South California University (Los Angeles, California, USA).

The duration of doctorate studies of Catalonia Polytechnic University (CPU) is 4 years. However, it is often extended according to the needs of the student. This means that the studies at CPU are one year longer than at RTU.

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Credits

Picture 2. Comparison of Doctor’s Degree Study Programme in Automation and Computer Engineering Between Different Universities.

The two above mentioned study programmes have the following differences: RTU has a strictly defined curricula, which has to be followed by the doctorate students.

The choice of courses is limited. CPU Research list has 4 different profiles (see Appendix 8, Table 2) with a broader

choice. Therefore, it can be adjusted to the scientific interests and supervisor’s recommendations. In addition, CPU has a lower evaluation of lessons (lectures and seminars) in terms of credits than the one of RTU (26 credits vs. 38 credits).

The course comparison can be found in Appendix 8. Comparison of Doctor’s Degree study programme in Automation and Computer

Engineering (profile: Computer Control Systems, Decision Support Systems) of Riga Technical University with the Doctor’s Degree studies in Computer Science (profiles: Systems, Theories, Intelligent Systems) of USA’s South California university (SCU) allows to conclude the following: The Master’s diploma in Computer Science is desired but not mandatory for the

applicants of SCU Doctor’s Degree study programme. Admission is based on strict personal horizon test and analysis of the scientific researches and papers. Admission Committee has the opportunity to take into account the applicant’s personal achievements in the relevant field, and not just his/her diploma.

The duration of SCU Doctor’s Degree studies is limited by the deadlines on the Doctor’s Thesis defence. Thesis must be defended within 7 years from the study commencement (within 6 years, if the student has been enrolled in the doctorate studies with the relevant MSc degree).

SCU studies are organised in two stages: Fundamental courses (totally 5 subjects from the 3 above-mentioned profiles – 15

credits) with the qualification exam at the end; Studies in the selected profile. The profile of Intelligent Systems correspond to the

RTU programme in a greater extent. This stage must be completed by the time when the Thesis is defended.

SCU profile of Intelligent Systems contain one compulsory course: Artificial Intelligence (Part II) – 3 credits and 4 free choice courses. Choosing the sub-profiles takes place in accordance with the following procedures: 2 courses of the student’s choice from the selected sub-profile and one course from each of two other sub-profiles.

After comparing the two Doctor’s Degree study programmes, it can be concluded that: SCU Doctor’s Degree study programme contains several more detailed courses than RTU

Doctor’s Degree study programme (only 3 credits or 2x3 credits for two semesters). Courses included in RTU programme are of bigger scope and fundamental.

Due to the fact that SCU Doctor’s Degree programme has 3 profiles, the list of specialisation courses offered is wider in order to cover all the issues of the field.

The weight of SCU Thesis by credits (8 credits) is much smaller than the weight of RTU Promotion Work (102 credits), but the programme includes additional scientific research (12 credits), seminars and specialised courses related to the novelties of the computer science development (31 credits in total).

Taking into account the topicality and rapid development of the artificial intelligence and decision analysis, and support system development’s problems and research, it is clear

that similar scientific profiles are widely covered in foreign universities. However, it is very rare that the curricula of the Doctor’s Degree studies is published fully.

For example, J. Mack Robinson College of Business of Georgia State University offers a course “Constructive Artificial Intelligence and Learning – Based Systems. Organization of Learning Systems” covering problems like data extraction, neural network application and genetic algorithms, algorithms for concluding, relevant softwares etc.

School of Computer Science and Information Technology of Nottingham University (NU) offers such courses as Artificial Intelligence, Neural Networks, Computer Aided Evaluation and Learning, Virtual Reality etc. It means that besides theoretical courses, the programme covers a range of courses providing several information processing approaches, e.g. courses in Programming Languages, Logic Programming.

Sometimes universities do not have a precisely defined list of courses as it is at RTU, but they just define the research area and doctorate students together with their supervisors or consultants can choose the problems or profiles of their interest.

Within the profile of Mathematical Modelling, there is a co-operation and plans for enhancement of it with the staff of Science Technology University of Hong Kong, Coventry University (UK) and Ottawa University (Canada).

The profile of Mathematical Modelling of RTU Doctor’s Degree studies can be compared with the PhD programmes in Applied Mathematics of Ottawa University (Canada) and Hong Kong University.

Comparison by courses in the form of diagram is provided on Picture 3.A more detailed comparison of courses in the form of table is provided in Appendix 8.Both programmes have the following similarities:

similar basic principles – basis studies are separated from so called main studies, where the doctorate student can specialise in a selected profile;

knowledge assessed both: orally and in a written form; similar periods and types of teaching.DIFFERENCES A big part of University of Ottawa programme is devoted to pedagogic work, as well as

scientific and research in-service training abroad and outside the University of Ottawa but at RTU it is devoted to lectures and independent work;

Ottawa University doctorate students together with their supervisors can make any individual plan compiled from the courses offered; RTU has a study plan with compulsory and optional courses.

The programme of Hong Kong University has not specified the number of credits required for the Promotion Work.

Hong Kong University doctorate students together with their supervisors can make an individual plan from the relevant courses offered by the university; RTU has a study plan with compulsory and optional courses.

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Picture 3. Comparison of Doctor’s Degree Study Programme in Automation and Computer Engineering (Mathematical Modelling Profile) Between Different Universities.

6.8. Development Plan of the Study Programme

The Doctor’s Degree study programme in Automation and Computer Engineering was significantly amended and improved in 2002. Further improvements of the programme will be conducted in accordance with the development of the field. The increasing demand for specialists in this field shows that, subject to proper financing, the above profiles of Computer Control and Computer Engineering together with other profiles of the Computer Science forming Information Technology may become one of the most profitable economic branches in Latvia.

At the moment there are three major problems hindering this to become a reality: Insufficient financing; Staff recruitment policy; Material provision of students.

Study programme development requires a certain financing. At the moment, the main source of financing is the State Budget, which is insufficient. It allows to keep the qualified staff, but it does not allow significant development of the study process and the science. The insufficient financing hinders the updating of material resources, purchase of the licensed software, writing and publishing the methodological materials, purchase of books, subscribing the professional literature, procuring the classroom equipment etc.

The hardware and software rapidly becomes out-of-date (during 3-5 years in average) and upgrading of it requires significant financial resources. The negative impact of this factor is partly reduced through the employer support. It can also be solved in the following ways:

By signing agreements with the interested companies about specialist training in the specific fields and arranging the required laboratories with the support of these companies;

By signing cooperation agreements with companies about using their technical infrastructure for carrying out the laboratory tasks and practices.

For improving the study process, it is planned to increase the procurement of the licensed software (currently much of the practical and study work is conducted on the trial softwares with limited functions provided by the companies). The cooperation agreements are signed with SIA “Olimps”, “Siemens” SIA Latvija, SIA “Aldaris”, “Schneider Electric” S.A. representation office in Latvia, SIA “VAR”, SIA “IBM Latvia”. Some companies have invested in the hardware, others in the licensed software.

The academic staff assessment allows us to make some critical remarks about the present policy of staff recruiting for the Latvian universities. Namely: the academic staff overworks; salaries of the academic staff are considerably lower than of those working in the IT field; the teaching staff rapidly grows older; it is almost impossible to attract younger staff to work at the university; the age qualification for the teaching staff (65 years), which was in effect until 20 May

2003, has aggravated the situation even further.

The cardinal solution, which can be carried out in the longer run, is to raise the salaries of the academic staff up to the average salaries of the professionals working in the field. It would increase the prestige of the faculty, attract younger people to the department, thus, solving the issue of the aging staff. Since it cannot be done at once, we suggest the following temporary solutions:- as the age qualification for teachers is lifted now, it would be useful to re-engage them at work

and secure their status;- to continue raising salaries on regular basis; - to attract young and prospective professionals with pedagogic skills and interests;- to cooperate with the related programmes in offering particular courses;- to encourage teachers’ involvement in the international projects;- to promote in-service training at foreign universities and research centres. Besides

qualification improvement, it would also attract financing.

It must be mentioned that a great attention is paid to involving the new teaching staff in the study process. As a result, 2 new Doctor’s Degree students, A.Lubāns and E.Stalidzāns, were elected in the positions of assistants in 2002. Doctor’s Degree student A. Riekstiņš is also employed in the same position.

Graduates are one of the most essential factors in the development of the programme. At the moment the students' opinion about the programme is positive. So is the employers' opinion. Unfortunately, compared to the situation 10 or more years ago, the students’ background is weaker. Also, small bursaries make students to work for living. As a result, less time is spent on studying.

More attention has to be paid to attracting new students. Along with the Open Days, participation in fairs and booklet distribution, other kinds of advertising activities should be conducted, e.g.: update and maintain the Faculty's home page in order to draw young people's attention; organise 2-3 annual informative events at schools with physics, mathematics and

technical profiles.In order to improve the education process, an information link with employers is maintained concerning the following issues:

- demand of professionals for university, companies and organisations in the future; - knowledge and skills required for professionals for implementing the company and

organisation development plans; - keeping track of the graduates working in the profession by creating the respective

data base; - defining deficiencies of our graduate knowledge and skills that obstruct the

successful implementation of their professional duties; - arranging qualification improvement courses with company professionals in the

position of teachers.

In order to encourage the distribution of new technology in Latvia, the latest achievements should be presented in the lectures. Downtime in the study process must be reduced to minimum. The study process should be directed towards bigger scope of the independent studies. Therefore, students should be provided with modern study materials and

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modern technologies of distance learning. Study process surveys should be continued for improving the quality of the study process.

The summary of the programme’s self-assessment results allows to perform the status analysis of the programme (see Table 3).

Table 3Advantages Weaknesses

Programmes comply with the recommendations and study programmes of the leading European universities in this field.

There is an experienced and skilled teaching staff.

Graduates are competitive in the labour market.

There is a partly up-to-date computer-equipment. Connection to Internet can provide huge amount of information.

The teaching staff working on up-to-date research topics and large scale scientific projects, ensures the quality of the programmes.

There are few young teachers. Laboratory equipment is partly out-of-

date. Library has insufficient number of

periodicals. There is no licensed software

corresponding to modern requirements. There is no regular communication with

employers. International cooperation is insufficient.

Opportunities Risks The programme’s graduates are highly

demanded in the labour market. Computer Control, Decision Support

Systems, Image Processing, Computer Graphics, Computer Engineering and Networks, and Mathematical Modelling profiles develop fast.

There is a positive feedback from graduates and employers.

There is a good cooperation with consumers and the society.

Financing could be insufficient (salaries, equipment, bursaries, licensed software)

Students to be enrolled might not be sufficiently prepared for studies.

Students who have defended their student work often leave the university for better paid jobs in companies and institutions.

Number of gifted students could be insufficient.

It might be impossible to attract young and skilled (Dr.sc.) teachers, if the state does not change its attitude.

It might be impossible to keep even the old teaching staff, if the legislation does not change.

In case the Doctor’s Degree study programme in Automation and Computer Science is abolished, its students can continue their education at the study programme in Computer Systems (see Appendix 9).

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7.SUMMARY

The academic study programmes for Doctor’s Degree in Automation and Computer Engineering provide the training of highly qualified specialists in the following Information Technology profiles: Computer Control, Decision Support Systems, Computer Engineering and Networks, Image Processing and Computer Graphics, Mathematical Modelling.

The study programmes are prepared by taking into account the curricula of EU and USA universities. The programmes keep up with the specific features of the Latvian labour market and are regularly updated and improved.

The academic curricula, plans and teaching processes are organized in accordance with the RTU Constitution (Satversme), RTU Senate Acts, FCSIT Council Acts and IACCE Board Acts. The teaching quality is ensured by the highly qualified IACCE academic staff, its scientific potential and relevant material, technical and methodological provision.

Positive Factors

The RTU programme in Automation and Computer Engineering complies with the Latvia Republic Law on Higher Education regarding the content and scope; it also complies with similar programmes of the European universities.

The graduates of the Doctor’s Degree programme have great prospectives in the national economy; there is a high demand for young professionals.

There is a relevant pedagogic and scientific potential for implementation of the programme.

The organisation of studies correspond with the study organisation at the European universities as there are compulsory, optional and free choice courses. The scope of the study courses is defined by the number of credits. The greatest emphasis is on students’ individual work.

The Doctor’s Works are developed about scientific topics of the current interest. There is a good cooperation with companies that give opportunities to master the latest

technology. Students have access to the licensed programmes for acquiring specific courses. The work of the teaching staff on the scientific topics of the world’s current interest and

participation in comprehensive scientific projects ensures the quality of the study programme.

The reviewed programme is one of the first ones to encourage combining the practical skills with the technical and theoretical knowledge in the profiles of Computer Control Systems and Decision Support Systems, Computer Engineering and Networks, Image Processing and Computer Graphics, Mathematical Modelling.

The programme prepares specialists for joint work in design by using hardware and software platforms.

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Weaknesses

Insufficient financing obstructs from the immediate implementation of the Information Technology achievements in the education process.

Salaries of the RTU are not competitive with those at the IT companies, therefore the academic staff grows older and attracting the young professionals to the education process takes very long.

Self-Assessment Report has been reviewed and approved on 23 May 2003 at the meeting of the Certification Management Committee.

Chairman: V. ZagurskisMembers:

A. GlazsZ. MarkovičsJ. Salenieks

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Academic Study Programme“Automation and Computer Engineering”

Doctor’s Degree Study Programme

Selected Course: Computer Information systems in Medicine ( 5 CP ).

Course Organiser: Mr.,sc.ing. Juris Lauznis

Course Aims: Insight into the recent electronical equipments and computerized systems in medicine

Course Objectives: To have the basic knowledge of electronical equipments, to have the knowledge of algorithms for date processing and systems control, to have the knowledge of systems design and specific request to medical systems safety.

Book List:1. Medical Products manufacturing News, Cannon Communications, inc.

publication, USA.2. Medical Imaging International, A Globetech Publication, USA, ISSN 1068 –

1779.3. Jean A.Pope. Medical Physics, 1998, Phymonta College.4. Thomas S.Curry et.all. Christensen’s Physics of Diagnostic Radiology,

Philadelphia, 1990.

30

Academic Study Programme“Automation and Computer Engineering”

Doctor’s Degree Study Programme

Selected Course: Computer Aided Decision Making in Medicine ( 5 CP ).

Course Organiser: Dr.med. Ieva Markovitcha

Course Aims: To give a knowledge on methodology based on structural modeling of therapeutic effects for optimal therapy selection.

Course Objectives: To give a knowledge on structural modelling of therapeutic effects, to give a knowledge on applying of structural models notions for estimating of therapeutic effects. To give insight into the practical realizations.

Book List:1. Expert systems. Concepts and Examples, Moscow, Nayka, 251c.2. J.Durkin. Expert Systems design and Development. Macmillan PC, New York, 1994, 800p.

31

Academic Study Programme“Automation and Computer Engineering”

Doctor’s Degree Study Programme

Selected Course: Computer Technologies on the Biological and Medical domain ( 10 CP ).

Course Organiser: Dr.med. Ieva Markovitcha

Course Aims: To provide an insight into the basic methods and practical applications of modern techniques relevant to computer artifical inteligent systems.

Course Objectives: To give a basic on computer artificial inteligent systems in biology and medicine. To initiate into concrete computer systems for diagnostic prognosis and therapy selection: aims, organization of knowledge, decision making, space for application. To give the practical skills.

Book List:1. I.H.Shortliffe et.all. Computer Based Medical Consultation: MYCIN // New York, 1976.2. J.Durkin. Expert Systems design and Development. Macmillan PC, New York, 1994, 800p.

32

RTU Faculty of computer science and information technology Department of engineering mathematics Course descriptionCourse title: DIM 611 Mathematical physics.Faculty: prof., Dr. habil. phys. M.Antimirovs.Study program: Automation and computer science.Study type: academic program.Study level: PhD program.Study branch: Mathematical modelling.Course volume : 5 CP, 80 hours, including lectures - 64 hours, seminars – 16 hours.Test format: exam.Aim of the course: Nonformal study of the course, applications are chosen in accordance with the topic of PhD thesis. Course objectives: The main objective of the course is to show students how to solve equations of mathematical physics and develop mathematical models of processes in nature and engineering. Textbooks and literature list:1. А.N. Тikhonov and А.А. Samarskii. Equations of mathematical physics. Мoscow, Nauka, 1966, 724 p. (In Russian)2. N.S. Коshlyakov, E.B. Gliner, and М.М. Smirnov. Partial differential equations of mathematical physics. Мoscow, Vishaja shkola, 1970, 710 p. (In Russian)3. E.Riekstiņš. Equations of mathematical physics. LU, Rīga, 1964. (In Latvian)4. M.Antimirovs, V.Liepiņa. Application of integral transforms for the solution of equations of mathematical physics. Rīga, RPI, 1978, 116 p. (In Latvian)5.M. Ya.Antimirov, A.A.Kolyshkin, R.Vaillancourt. Applied Integral Transforms. AMS, Rhode Island, 1993, 265 p.6. M. Ya.Antimirov, A.A.Kolyshkin, R.Vaillancourt. Mathematical Models for Eddy Current Testing. Les Publications CRM, Montreal, 1997, 224 p.7. B.L. Rozdestvensky and N.N. Yanenko. Systems of quasilinear equations and their applications to ga s dynamics. Мoscow, Nauka, 1968, 592 p. (In Russian)8. B.M. Budak., А.А. Samarskii, and А.N. Тikhonov. Сollection of problems on mathematical physics. Мoscow, Nauka, 1972, 687 p. (In Russian)9. M.Antimirovs, K.Ozols. Recomendations for the solution of equations of mathematical physics and examples of tests. Rīga, RPI, 1981, 48 p. (In Latvian)10. R.W. King and S. Prasad. Fundamental Electromagnetic Theory and Applications. Prentice-Hall, Englewood Cliffs, New York, 1986, 618 p.11. Matiur Rahman, Isaak Mulolani. Applied Vector Analysis. CRS Press, Boca Raton, London, New York, Washington, D. C., 2000, 272 p.Teaching mode: Lectures, seminars and consultations.Course evaluation: The highest grade "10" is given only to students who can solve difficult problems and show nonformal knowledge of the subject. In addition, the student has to get excellent marks for homeworks and exam paper. Marking scheme:

33

Tests and exam % 85% assignments % 10% class attendance % 5% Total % 100%Requirements for the course: Assignments should be submitted before deadlines. All tests and exam have to be taken in accordance with course schedule.Preparation requirements for each class: Before the lecture read the material of the previous lectures for better understanding of the topic.Discussions related to the course:The methods discussed in the course are used in all science and engineering course. Study plan

N. Topics Lectures(hours)

Seminars (hours)

1. Classification of linear partial differential equations. 5 22. Physical processes which are described by

hyperbolic equations.7 2

3. D’Alambert’s method for solution of hyperbolic equations.

5 1

4. Method of separation of variables (Fourier method) for the solution of hyperbolic equations.

9 25. Method of integral transforms for the solution of

equations of mathematical physics.6 2

6. Parabolic equations. 9 27. Eliptic equations. 8 28. Wave equation in three dimensions. Scalar and

vector potentials of electromagnetic field. Linear harmonic oscillator.

6 1

9. Linear un quasilinear first order differential equations and systems of differential equations. Equations of gas dynamics.

9 2

Total: 64 16

RTU Faculty of computer science and information technologyDepartment of engineering mathematics

Course descriptionCourse title: DIM 605 Complex variables with applicationsFaculty: prof., Dr. habil. phys. M.Antimirovs.Study program: Automation and computer science.Study type: academic program.Study level: PhD program.Study branch: Mathematical modelling.Course volume: 10 CP, 160 hours, including lectures - 128 hours, seminars - 32 hours.Test format: exam.

34

Aim of the course: Nonformal study of the course, applications are chosen in accordance with the topic of PhD thesis.Course objectives: The main objective of the course is to teach students how to use the methods of complex analysis in applications.Textbooks and literature list:1. M. Ya.Antimirov, A.A.Kolyshkin, R.Vaillancourt. Complex Variables. Academic

Press, San Diego, a.o., 1998, 476 pages.2. M.A. Lavrentiev, and B.V. Shabat. Theory of functions of complex variable.

Мoscow, Nauka, 1973, 736 p. (In Russian)3. E.Riekstiņš. Methods of mathematical physics. Rīga, Zvaigzne, 1969, 629 p. (In

Latvian)4. A.G. Sveshnikov and A.N. Tikhonov. Тheory of functions of complex variable.

Мoscow, Nauka, 1974, 319 p. (In Russian)5. M.A. Evgrafov et al. Сollection of problems on analytic function theory. Мoscow, Nauka, 1969, 387p. (In Russian)

Teaching mode: Lectures, seminars and consultations.Course evaluation: The highest grade "10" is given only to students who can solve difficult problems and show nonformal knowledge of the subject. In addition, the student has to get excellent marks for homeworks and exam paper.Marking scheme: Tests and exam % 85% assignments % 10% class attendance % 5% Total % 100%Requirements for the course: Assignments should be submitted before deadlines. All tests and exam have to be taken in accordance with course schedule.Preparation requirements for each class: Before the lecture read the material of the previous lectures for better understanding of the topic. Discussions related to the course:The use of methods of complex analysis in mathematical physics. Study plan

N. Topics Lectures (hours)

Seminars (hours)

1. Functions of a complex variable. Limit, continuity, derivative, Cauchy-Riemann equations. Harmonic functions.

7 2

2. Conformal mappings with elementary functions.

9 2

3. Integral of a function of a complex variable. Cauchy integral formula. Series of functions. Taylor and Laurent series.

6 1

4. Residues. Evaluation of definite integrals by residue theorem.

10 3

35

5. Laplace transform. 7 26. Further applications of residue theory. 9 27. Schwarz-Christoffel integral. Mapping of a

polygon onto an upper half-plane. Eliptical integrals and eliptical functions.

6 1

8. Applications of conformal mapping to the solution of problems in heat conduction, electrostatics, hydrodynamics and aerodynamics. Laplace equation. Invariance of the Laplace operator in conformal mappings.

10 3

Total 64 16

RTU Faculty of computer science and information technologyDepartment of engineering mathematics

Course descriptionCourse title: DIM 606 Variational methods in mathematical physics.Faculty: prof., Dr. habil. phys. M.Antimirovs.Study program: Automation and computer science.Study type: academic program.Study level: PhD program.Study branch: Mathematical modelling.Course volume: 10 CP, 160 hours (lectures)Test format: exam.Aim of the course: Master an important mathematical course which results in deeper understanding of mathematical physics and other courses.Course objectives: Nonformal use of the calculus of variationsTextbooks and literature list:1. L.E. Elsgolc. Differential equations and calculus of variations. Мoscow, Nauka, 1965, 424 p. (In Russian)2. V.I. Smirnov. Course of higher mathematics, v. IV, Мoscow, GTTI, 1957, 812 p. (In Russian)3. М.L. Кrasnov, G. I. Макаrеnко, and А.I. Кiselev. Calculus of variations. Problems and exercises. Мoscow, Nauka, 1973, 190 p. (In Russian)Teaching mode: Lectures.Course evaluation: Course evaluation: The highest grade "10" is given only to students who can solve difficult problems and show nonformal knowledge of the subject. Marking scheme: Tests and exam % 85% assignments % 10% class attendance % 5% Total % 100%

36

Requirements for the course: Assignments should be submitted before deadlines. All tests and exam have to be taken in accordance with course schedule.Preparation requirements for each class: Before the lecture read the material of the previous lectures for better understanding of the topic. Discussions related to the course:Applications of the methods studied in the course in science and engineering.

Study plan

N. Topics Lectures(hours)

1. Examples of the calculus of variations. Variation and its properties. Euler’s equation.

8

2. Elements of surface theory. 73. Functionals which are dependent on one function. Euler-

Ostrogradsky equation.19

4. Izoperimetric problems. Conditional extremum. Problems related to the existence of a minimal surface.

16

5. Sufficient conditions for the existence of an extremum. 106. Applications of the calculus of variations in mechanics and

mathematical physics.20

Total: 80

RTU Faculty of computer science and information technology Department of engineering mathematics

Course descriptionCourse title: DIM 608 Dynamics of viscous flows and magnetohydrodynamics.Faculty: prof., Dr. habil. phys. M.Antimirovs.Study program: Automation and computer science.Study type: academic program.Study level: PhD program.Study branch: Mathematical modelling.Course volume: 5 CP, 80 hours (lectures)Test format: exam.Aim of the course: Master classical hydrodynamics and magnetohydrodynamics which are the core courses in the PhD program.

37

Course objectives: The main objective of the course is to teach PhD student how to solve modern problems in hydrodynamics and magnetohydrodynamics.Textbooks and literature list: 1. L.G. Loicansky. Меchanics of fluids and gases. Мoscow, Nauka, 1970, 904 p. (In Russian) 2. N.Е. Коchin, I.А. Кibel, N.B. Rose. Тheoretical hydromechanics, v. 1, 2. Мoscow, Fizmatgiz, 1963, 535 p. (In Russian)3. А.B. Vatazhin, G.А. Lubimov, and S.А. Regirer. МHD flows in channels. Мoscow, Nauka, 1970, 672 p. (In Russian)4. G.G. Branover and А. B. Tsinober. Маgnetohydrodynamics of incompressible media. Мoscow, Nauka, 1970, 379 p. (In Russian)5. М.Ja. Аntimirov and А.А. Коlyshkin. Elements of hydrodynamics and convective stability. Riga, RPI, 1984, 79 p. (In Russian)6. L.D. Landau and Е.М. Lifshitz. Hydrodynamics. Мoscow, Nauka, 1988, 733 p. (In Russian)Teaching mode: Lectures and research work.Course evaluation: The highest grade "10" is given only to students who can solve difficult problems and show nonformal knowledge of the subject. Marking scheme: Tests and exam % 85% assignments % 10% class attendance % 5% Total % 100%

Requirements for the course: Assignments should be submitted before deadlines. All tests and exam have to be taken in accordance with course schedule.Preparation requirements for each class: Before the lecture read the material of the previous lectures for better understanding of the topic. Discussions related to the course: Applications of the methods studied in the course in science and engineering. Study plan

N. Topics Lectures(hours)

1. Viscous fluid. Newton’s law. Stress tensor and velocity deformation tensor. Equations of viscous fluid dynamics.

5

2. Exact solutions of hydrodynamic equations in the case of fully developed flow.

7

3. Exact solutions of nonlinear hydrodynamic equations. 74. Approximate solutions for the case of small or large

Reynolds numbers.8

5. Equations of magnetohydrodynamics (MHD). 36. Exact solutions of MHD equations in the case of fully

developed flow.4

7. Free convection MHD flows. 6 Total: 40

38

RTU Faculty of computer science and information technologyDepartment of engineering mathematics

Course descriptionCourse title: DIM 604 Special functions.Faculty: prof., Dr. habil. phys. M.Antimirovs.Study program: Automation and computer science.Study type: academic program.Study level: PhD program.Study branch: Mathematical modelling.Course volume: 10 CP, 160 hours, including lectures - 128 hours, seminars - 32 hours.Test format: exam.Aim of the course: Master special functions which are necessary not only for the mathematical physics course but also are needed to solve equations of mathematical physics.Course objectives: Nonformal use of special functions.Textbooks and literature list:1. E.Riekstiņš. Methods of mathematical physics. Rīga, Zvaigzne, 1969, 628 p. (In Latvian)2. N.N. Lebedev. Special functions and their applications. Моscow- Leningrad, Fizmatgiz, 1963, 358 p. (In Russian)3. G.N. Watson. Тheory of Bessel functions, part. 1. Мoscow, I.L., 1949, 798 p. (In Russian)4. Е.Т. Whittaker and G.N. Watson. A course of modern analysis, v.II. Мoscow, Nauka, 1963. (In Russian)5. D.S. Кuznecov. Special functions. Мoscow, Nauka, 1978, 319 p. (In Russian)7. 8. А.F. Nikiforov and V.B. Uvarov. Special functions. Мoscow, Nauka, 1978, 319 p. (In Russian)9. F. Оlver. Introduction to asymptotic methods and special functions. Моscow, Nauka,

1978, 375 p. (In Russian)10. E.Riekstiņš, T.Cīrulis, O. Dzenītis. Collection of problems on mathematical physics.

Part 2. Special functions. LVU, 1975, 114 p. (In Latvian)Teaching mode: Lectures, seminars and consultations.Course evaluation: The highest grade "10" is given only to students who can solve difficult problems and show nonformal knowledge of the subject. In addition, the student has to get excellent marks for the exam paper.Marking scheme: Tests and exam % 85% assignments % 10% class attendance % 5% Total % 100%

39

Requirements for the course: Assignments should be submitted before deadlines. All tests and exam have to be taken in accordance with course schedule.Preparation requirements for each class: Before the lecture read the material of the previous lectures for better understanding of the topic. Discussions related to the course: Applications of the methods studied in the course for the solution of equations of mathematical physics.

Study plan

N. Topics Lectures (hours)

Seminars (hours)

1. Gamma – and beta- functions. 5 22. Solutions of a second order ordinary differential

equations in the neighborhood of a regular point or in the neighborhood of a regular singular point.

8 2

3. Bessel equation and Bessel functions. 10 44. Hypergeometric equation and hypergeometric

functions. Legendre functions and Legendre polynomials.

10 2

5. Hermite, Lagerre, Jakobi un Chebyshev polynomials.

11 2

6. Mapping of a polygon on the upper half-plane. Schwarz-Christoffel intergal.. Eliptic integrals and eliptic functions.

10 2

7. Evaluation of integrals by asymptotic methods. 10 2 Total: 64 16

RTU Faculty of computer science and information technologyDepartment of engineering mathematics

Course descriptionCourse title: DIM 607 Mathematical problems in eddy current nondestructive evaluation. Faculty: prof., Dr. habil. phys. M.Antimirovs.Study program: Automation and computer science.Study type: academic program.Study level: PhD program.Study branch: Mathematical modelling.Course volume: 5 CP, 80 hours (lectures)Test format: exam.Aim of the course: Master an important application of mathematical physics.Course objectives: Mathematical models development for eddy current nondestructive evaluation.Textbooks and literature list:

40

1. M.Ya. Antimirov, A.A. Kolyshkin, R.Vaillancourt. Mathematical Models for Eddy Current Testing. Les Publications CRM, Montreal, 1997, 224 p.2. N.S. Коshlyakov, E.B. Gliner, and М.М. Smirnov. Partial differential equations of

mathematical physics. Моscow, VS, 1970, 710 p. (In Russian)3. G. А. Grinberg. Selected problems of mathematical theory of electric and magnetic

phenomena. Моscow – Leningrad, Academy of Sciences of the USSR publishing house, 1948, 727 p. (In Russian)

4. R.W. King and S. Prasad. Fundamental Electromagnetic Theory and Applications. Prentice-Hall, Englewood Cliffs, New York, 1986, 618 p5. M. Ya.Antimirov, A.A.Kolyshkin, R.Vaillancourt. Mathematical Models for Eddy Current Testing. Les Publications CRM, Montreal, 1997, 224 p. 6. Matiur Rahman, Isaak Mulolani. Applied Vector Analysis. CRS Press, Boca Raton, London, New York, Washington, D. C., 2000, 272 p.

Teaching mode: Lectures and research work.Course evaluation: The highest grade "10" is given only to students who can solve difficult problems and show nonformal knowledge of the subject. Marking scheme: Tests and exam % 85% assignments % 10% class attendance % 5% Total % 100%

Requirements for the course: Assignments should be submitted before deadlines. All tests and exam have to be taken in accordance with course schedule.Preparation requirements for each class: Before the lecture read the material of the previous lectures for better understanding of the topic. Discussions related to the course:Applications of the methods studied in the course (passenger traffic control in airports etc.).

Study plan

N. Topics Lectures (hours)

1. Generalization of Coulomb law, Boit-Savart law and the law of electromagnetic induction. Displacement current. Maxwell equations.

3

2. Potentials of electromagnetic field. Boundary conditions. Uniqueness theorem.

3

3. Single-turn coil and double-conductor line above a conducting half-space and a plate.

8

4. Single-turn coil and double-conductor line above a multilayer medium and medium with nonuniform conductivity.

6

5. Single-turn coil inside a cylindrical tube. 8

41

6. Nonuniform media. 12 Total: 40

RTU Faculty of computer science and information technologyDepartment of engineering mathematics

Course descriptionCourse title: DIM 602 Methods and algorithms of mathematical modelling. Faculty: prof., Dr. math. Andrejs Koliškins.Study program: Automation and computer science.Study type: academic program.Study level: PhD program.Study branch: Matematical modelling.Course volume: 10 CP, 160 hours, including lectures - 96 hours, labs - 64 hoursTest format: exam.Aim of the course: The aim of the course is to provide knowledge for the development of mathematical models and their use in industry and research work. Course objectives: The main objective of the course is to teach students how to analyze mathematical models using numerical methods (solution of differential equations, solution of linear and nonlinear problems, function approximation), amd learn the basic principles of MATLAB un MATHEMATICA.Textbooks and literature list:1. H. Kalis. Numerical methods for the solution of differential equations. Rīga,"Zinātne", 1986. (In Latvian)2. N.N. Каlitkin. Numerical methods. Мoscow, Nauka, 1978. (In Russian)

Teaching mode: Lectures and labs.Requirements for the course: Assignments should be submitted before deadlines. All tests and exam have to be taken in accordance with course schedule.Remarks related to the contents of the course: The contents of the course is continuosly updated with new numerical methods and software. The changes in contents of labs are also introduced in order to reflect current development of numerical methods and software.Discussions related to the course:Applications of numerical methods. Software package MathCad.

Study plan

N. Topics Lectures (hours)

Labs(hours)

1. Function approximation. 6 22. Numerical integration. 10 6

42

3. Methods of solution of linear systems. 12 64. Methods of solution of nonlinear equations. 10 65. Numerical methods for ordinary differential

equations.18 10

6. Numerical methods for partial differential equations.

24 10

7. Software packages MATLAB and MATHEMATICA and their use in mathematical modelling.

16 24

Total 96 64

RTU Faculty of computer science and information technologyDepartment of engineering mathematics

Course descriptionCourse title: DIM 609 Methods of solution of nonlinear equations and systems of nonlinear equations.Faculty: prof., Dr. math. Andrejs Koliškins.Study program: Automation and computer science.Study type: academic program.Study level: PhD program.Study branch: Matematical modelling.Course volume: 10 CP, 160 hours, including lectures - 96 hours, labs - 64 hoursTest format: exam.Aim of the course: The aim of the course is to provide knowledge in the field of numerical computations. Theoretical methods of solution of nonlinear equations are combined with the knowledge of software packages. Course objectives: The main objective of the course is to teach students how to use the algorithms for the solutions of nonlinear equations and software packages in mathematical modelling.Textbooks and literature list:1.J.E. Dennis, Jr., and R. B. Schnabel. Numerical methods for unconstrained otimization and nonlinear equations. Prentice -Hall, 1996.Teaching mode: Lectures and labs.Requirements for the course: Lab reports should be submitted before deadlines. All tests and exam have to be taken in accordance with course schedule.Remarks related to the contents of the course: The contents of the course is continuosly updated with new methods and software. The changes in contents of labs are also introduced in order to reflect current development of numerical methods and software.Discussions related to the course:Software package MathCad and its application for the solution of nonlinear equations.

Study plan

43

N. Topics Lectures (hours)

Labs(hours)

1. Methods of solution of nonlinear equations – Newton’s method, bisection method.

10 4

2. Convergence of Newton’s method. 8 43. Globally convergent methods for the solution

of one nonlinear equation. 10 4

4. Minimization of a function of one variable. 6 45. Derivatives and multidimensional models. 6 26. Necessary and sufficient conditions for

minimization of a function of several variables.6 6

7. Newton’s method for the solution of systems of nonlinear equations.

14 8

8. Local convergence of the Newton’s method. Globally convergent modifications of the Newton’s method.

18 12

9. Broyden’s method. 6 410. Software packages MATLAB and

MATHEMATICA and their use in solving nonlinear equations and systems of nonlinear equations.

12 16

Total 96 64

RTU Faculty of computer science and information technologyDepartment of engineering mathematics

Course descriptionCourse title: DIM 610 Analytical and numerical methods for solution of integral equationsFaculty: prof., Dr. math. Andrejs Koliškins.Study program: Automation and computer science.Study type: academic program.Study level: PhD program.Study branch: Matematical modelling.Course volume: 10 CP, 160 hours, including lectures - 96 hours, labs - 64 hoursTest format: exam.Aim of the course: The aim of the course is to provide knowledge in the field of analytical and numerical solution of integral equations. Theoretical methods of solution of integral equations are combined with the knowledge of software packages.Course objectives: The main objective of the course is to teach students how to use the algorithms for the solutions of integral equations and software packages in mathematical

44

modelling. Discuss applications of software packages MATLAB and MATHEMATICA for the solutions of integral equations. Textbooks and literature list:1. S.G. Мihlin. Lectures on linear integral equations. Моscow, Fizmatgiz, IL, 1989. (In Russian)2. F.Тrikomi. Integral equations. IL, 1960.

Teaching mode: Lectures and labs.Requirements for the course: Lab reports should be submitted before deadlines. All tests and exam have to be taken in accordance with course schedule.Remarks related to the contents of the course: The contents of the course is continuosly updated with new methods and software. The changes in contents of labs are also introduced in order to reflect current development of numerical methods and software.Discussions related to the course:Software package MathCad and its application for the solution of integral equations.

Study plan

N. Topics Lectures(hours)

Labs(hours)

1. Classification of linear integral equations. Volterra and Fredholm equations

6 4

2. Method of successive approximations. 8 43. Resolvent and its applications. 6 44. Iteration kernels. 10 45. Fredholm theorems and Fredholm alternative. 10 46. Equations with the kernel depending on the

difference between arguments.14 10

7. Kvadratures. 14 108. Regularization methods. 12 89. Application of software packages MATLAB

and MATHEMATICA for the solution of linear integral equations.

16 16

Total 96 64

45

Course module description

DID610 Intelligent Computer Technologies and Systems

Lecturer: Professor Arkady Borisov, Dr.hab sc.comp

Study program: AUTOMATION and COMPUTER ENGINEERINGStudy type: Academic programStudy level: PhD studiesStudy area: Computer Control Systems

Decision Support Systems

Course module volume: 5 credit pointsAim:

To teach basic technologies of artificial intelligence.Tasks: To master construction methods and possibilities of knowledge-based systems To master architectures and tasks of artificial neural networks To master main construction principles of artificial evolutionary systemsBooks:Clemen R.T. (1996). Making Hard Decisions: An Introduction to Decision Analysis.

Duxbury Press, 664 p.Bishop C.M. (1999). Neural Networks for Pattern Recognition. OXFORD University Press,

482 p.Pandya A.S., Macy R.B. (1995). Pattern Recognition with Neural Networks in C++. CRC

Press, 410 p.Aleksejevs A.V., Borisovs A.N., Fomins S.A., Sļadzs N.N. and Viļums E.R. (1995). A hybrid expert

system shell, ’SYNTHESIS’, for research design of technical objects. Proceedings of the Latvian Academy of Sciences. Section B. N 7/8, P. 127 - 129.

Methods of teachingLectures, laboratory works and practical works

Assessment principle – a markAssessment weights:

Exam40 %

Laboratory works30 %

Practical works 15 %

Participation in discussions 15 %

46

In total100%

Course requirementsAttendance at lessons at students’ discretion taking into account the timetable; regular and

timely preparation for laboratory works and passing examinations in time. Description and analysis of case studies

Case studies are explicated and analysed when laboratory works are performedRequirements for the students

Before every lesson, students have to learn the material of preceding lectures, practical works and laboratory works Discussions planned: topics and contents

A lecture/discussion with the participation of the representatives A/S DATI “Prospects of intelligent information technologies”Course structure

Week Lectures Laboratory works 1. Advanced Decision Analysis Technologies2. Decision Support Systems Design

3.-4. Artificial Intelligence Technologies5. Evolutionary and Genetic Algorithms6. Knowledge-Based Decision Support Systems 7. Pattern Recognition Systems 8. Adaptive Neuro-Fuzzy Inference System

ANFIS9. Genetic-Based Machine Learning System

ANIMATInductive Decision Tree Intelligent Systems

10. Decision Tree Learning System ID311. Production Rule Learning System CN2 Intelligent systems based on inductive

classifier rules 12. System for Constructive Problem Solving

R1/XCON13. Treatment Knowledge-Based System

MYCINGenetic algoritms based intelligent systems

14. Action Planning Knowledge-Based System STRIPS

15. Hybrid Expert System for Catalyst Selection DECADE

Artificial neural network based intelligent systems

16. Knowledge-Based System for Mechanical Engineering Design DOMINIC

47

COURSE MODULE DESCRIPTION

DID612 Evolutionary and genetic algorithms

Lecturer: Professor Arkady Borisov, Dr.hab sc.comp

Study program: AUTOMATIC CONTROL and COMPUTER ENGINEERINGStudy type: Academic programStudy level: PhD studiesStudy area: Computer Control SystemsDecision Support Systems

Course module volume: 10 credit points

Aim:To teach constrcuction methods and applications of evolutionary models

Tasks : To examine and master genetic algorithms effectiveness in self-learning systems; To examine and master genetic algorithms effectiveness in combinatorial tasks.

Books:

Austin S. (1990). Introduction to genetic algorithms. AI Expert. N3, p. 49-53.Borisovs A. (1993). Mākslīgā intelekta metodes: Lekciju konspekts. RTU, Rīga.Gen, M. and Cheng, R. (1996). Genetic Algorithms and Engineering Design. John Wiley & Sons, Inc.Goldberg D.E. (1989). Genetic Algorithms in Search, Optimization, and Machine Learning.-Addison-

Wesley Publishing Company, Inc.Michalewich, Z. (1991). Genetic Algoritms + Data Structures = Evolution Programs. Springer-Verlag.

Methods of teaching

Lectures, laboratory works and practical works

Assessment principle – a mark

Assessment weights: Test - 30% Examination - 30% Laboratory works - 15% Practical works - 10% Participation in discussions - 15%

Course requirements:

48

Attendance at lessons at students’ discretion taking into account the time-table; regular and timely preparation for laboratory works and passing exams in time. Description and analysis of case studies

Case studies are explicated and analysed during laboratory works.

Requirements for the sudents Before every lesson, students have to learn the material of preceding lectures, practical

works and laboratory works.

Discussions planned: topics and contents A lecture/discussion with the participation of the representatives of Artificial Intelligence

Laboratory (Latvian Universitate, Institute of Mathematics and Informatics). The title of the lecture is Topical Issues in Evolutionary Model Construction.

Course Structure

No. Topics1. Genetic algorithms and conventional algorithms for function optimum search.2. Solving combinatorial optimisation tasks. Prisoner’s dilemma.3. Combinatorial solving procedure of word combination searching task. Case study.4. Solving procedure of variant ordering task.5. Behavior prediction of dynamic systems. Case study: Dynamics of securities

market.6. Variable encoding task in genetic algorithms. Binary coding. Principle of minimal

alphabet. 7. Implementation of probabilistic selection mechanisms. Roulette wheel selection.

Tournament selection.8. Implementation of basic genetic operators. Crossover, mutation, reproduction.9. Theory of schemes (templates,. etc.). Evaluation methods of chromosome

similarity.Possibilities of genetic algorithm behaviour evaluation.10. Genetic algorithms based learning systems. Classifier systems. Architecture.

Functions of elements.11. Credit allocation procedure. Bucket brigade algorithm: implementation example.12. Classifier structure. Message structure. Interaction of classifier sets and messages.13. Static domain classifier learning system. The meaning. Analysis of experiments.14. Dynamic domain classifier learning system “ROBOT”. Analysis of experiments.15. Laboratory work: Genetic operators and their implementation.16. Laboratory work: Simple optimisation task. 17. Laboratory work: Ranking methods in genetic algorithms.18. Laboratory work: Genetic classifier system.19. Laboratory work: Parameter encoding in genetic algorithms.20. Laboratory work: Fitness function construction in genetic algorithms.

49

Course module description

DID618 Fuzzy Logic and Inference

Lecturer: Professor Arkady Borisov, Dr.hab sc.comp

Study program: AUTOMATIC CONTROL and COMPUTER ENGINEERINGStudy type: Academic programStudy level: PhD studiesStudy area: Computer Control Systems

Decision Support Systems

Course module volume: 5 credit points

Aim:To teach fuzzy sets principles and applications

Tasks : To master operations with fuzzy sets; To master fuzzy system construction methods for pattern recognition and decision

making.Books:Borisov A.N., Alexeyev A.V., Merkuryeva G.V., Slyadz N.N. and Glushkov V.I. (1989).

Fuzzy Information Processing in Decision Making Systems, Radio i Sviaz Publ. House, Moscow (in Russian).

Cox E. (1994). The Fuzzy Systems Handbook, Academic Press .Izplūdusī loģika, iespējamību teorija un to pielietojumi: Metodiskais līdzeklis. (1995).

A.Borisovs, L.Dubrovskis, L.Aļeksejeva, G.Kuļešova, T.Zmanovska. RTU, Rīga.Прикладные нечеткие системы. (1993). Тэрано Т., Асэи К. И Сугено М. (Ред.). Мир,

Москва.Tanaka K. (1996). An Introduction to Fuzzy Logic for Practical Applications, Springer-

Verlag, New York. Methods of teaching

Lectures, laboratory works and practical worksAssessment principle – a markAssessment weights:

Examination40 %

Laboratory works30 %

Practical works15 %

Participation in discussions 15 %

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In total100%

Course requirements :Attendance at lessons at students’ discretion taking into account the time-table; regular

and timely preparation for laboratory works and passing exams in time. Description and analysis of case studies

Case studies are explicated and analysed when laboratory works are performed.Requirements for the sudents

Before every lesson, students have to learn the material of preceding lectures, practical works and laboratory works Discussions planned: topics and contents

A lecture/discussion with the participation of the representatives of Artificial Intelligence Laboratory (Latvian Universitate, Institute of Mathematics and Informatics). The title of the lecture is Development Prospects of Fuzzy Sets Engineering .Course Structure

Week Lectures Laboratory works 1. Concept of -section of a fuzzy set. Principle

of decomposition.2. Fuzzy numbers. Generalisation principle.3. Operations with fuzzy numbers.4. Application examples of fuzzy sets.5. Fuzzy relations. Discrete representation of

binary fuzzy relations.6. Projection of fuzzy relation. Cylindric

extension of fuzzy relation. 7. Composition of fuzy relations and its special

features.8. Interpretation of fuzzy relation composition

operation.Fuzzy Relations and Compositional Rule of Inference

9. Fuzzy (approximate) reasoning. Fuzzy production rules.

10. Mechanism of fuzzy reasoning. Mamdani’s Direct Method of Reasoning.

Implementation Examples of Mamdani’s Direct Method of Reasoning

11. Compositional rule of inference.12. Implementation examples of compositional

rule of inference.Designing Fuzzy Logic Controllers

13. Application of fuzzy technology to pattern recognition tasks.

14. Application of fuzzy technology to decision making models.

Algorithms for Decision Making in Fuzzy Environment

15. Application of fuzzy technology to methods of self-learning classifier systems.

16. Application of fuzzy technology to inductive inference algorithms.

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Course module description

DID619 Intelligent decision making systems

Lecturer: Prof. Arkady Borisov, Dr.hab sc.comp.

Study program: AUTOMATION and COMPUTER ENGINEERINGStudy type: Academic programStudy level: PhD studies Study area: Computer Control Systems

Decision Support SystemsCourse module volume: 5 credit points

Aim:To teach doctoral students construction principles and purposes of hybrid intelligent systems

Tasks: To master three main principles of intelligent systems hybridisation; To master hybridisation principles of knowledge-based systems and decision support systems.Books:Clemen R.T. (1996). Making Hard Decisions: An Introduction to Decision Analysis.

Duxbury Press.Borisov A.N., Krumberg O.A. and Fyodorov I.P. (1990). Decision Making Based on Fuzzy Models:

Application Examples, Zinatne Publ. House, Riga.Turban E. (1995). Decision Support Systems and Expert Systems, Prentice Hall, Fourth Edition

Englewood Cliffs.Klein M. and Methlie L.B. (1998). Knowledge-based Decision Support Systems with Applications in

Business, John Wiley & Sons, Chichester.Jackson P. (1999). Introduction to Expert Systems, Addison-Wesley.Methods of teaching

Lectures, laboratory works and practical worksAssessment principle – a markAssessment weights

Examination40 %

Laboratory works25 %

Practical works20 %

Participation in discussions 15 %In total

100%Course requirements:

Attendance at lessons at students’ discretion taking into account the time-table; regular and timely preparation for laboratory works and passing exams in time.

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Description and analysis of case studiesCase studies are explicated and analysed when laboratory works are performed

Requirements for the sudents Before every lesson, students have to learn the material of preceding lectures, practical

works and laboratory works.Discussions planned: topics and contents

A lecture/discussion with the participation of the representatives of RITI. The title of the lecture is Topical Issues in Intelligent Decision Making Systems Development.Course structure

No. Topics1. Necessity and possibilities of decision support systems (DSS) intellectualisation.

Positive and negative features of DSS. 2. Concept of decision support system.3. Concept of knowledge-based systems (KBS).4. Knowledge-based decision support systems as a mechanic combination of

knowledge-based system and decision support system structure. 5. Knowledge-based decision support systems as a function synergy of knowledge-

based system and support system structures.6. Development of probabilistic graphic models of subject domain.7. Special features of probabilistic reasoning in knowledge-based decision support

models.8. Implementation examples of knowledge-based decision support systems.9. Laboratory work: Probabilistic reasoning in knowledge-based systems.10. Laboratory work: Probability distribution in tree-like belief networks.11. Laboratory work: Recursive method of aposterior probability calculation.12. Laboratory work: Subjective Bayesian method.13. Laboratory work: Hierarchical organisation of probabilistic reasoning.14. Laboratory work: Mamdani’s probabilistic reasoning.15. Laboratory work: Probabilistic reasoning based on composition rules.

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COURSE MODULE DESCRIPTION

DID621 Artificial neuron and neural networks

Lecturer: Professor Arkady Borisov, Dr.hab sc.comp

Study program: AUTOMATIC CONTROL and COMPUTER ENGINEERINGStudy type: Academic programStudy level: PhD studiesStudy area: Computer Control SystemsDecision Support Systems

Course module volume: 10 credit points

Aim:To teach construction principles of static and dynamic neural networks

Tasks : To master architecture and adaptation methods of dynamic neural networks; To study neural network investigation problems and development prospects.

Books:

Aleksander I., Morton H. (1991). An Introduction to Neural Computing. Chapman & Hall.Fausett L. (1994), Fundamentals of Neural Networks Arhitectures, Algoritms, and Applications.

Prentice Hall, 461 p.Nelson M. and Illing Worth W.T. (1991). A Practical Guide to Neural Nets. Addison –Wesley

Publishing Company.Zurada J.M. (1992). Introduction to artificial neural systems. St.Paul: West Publishing Company, 683

p.Нильсон Р. (1967). Обучающиеся машины. Москва, Мир

Methods of teaching

Lectures, laboratory works and practical works

Assessment principle – a mark

Assessment weights: Test - 30% Examination - 30% Laboratory works - 15% Practical works - 10% Participation in discussions - 15%

Course requirements:

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Attendance at lessons at students’ discretion taking into account the time-table; regular and timely preparation for laboratory works as well as passing tests and exams in time.Description and analysis of case studies

Case studies are explicated and analysed during laboratory works.

Requirements for the sudents Before every lesson, students have to learn the material of preceding lectures, practical

works and laboratory works.

Discussions planned: topics and contents A lecture/discussion with the participation of the representatives of Artificial Intelligence

Laboratory (Latvian Universitate, Institute of Mathematics and Informatics). The title of the lecture is Topical Issues in Artificial Neural System Construction.

Syllabus

No. Topics1. Single layer discrete perceptron network. Architecture. Network adjustment

algorithm. Implementation example of algorithm learning.2. Single layer continuous perceptron network. Network adjustment algorithm.

Implementation examples.3. Multilayer network Madaline.Architecture. Learning rule. Examples.4. Sigle layer perceptron network. Classification under multiple categories.

Architecture. Network learning rule.5. Multilayer feedforward chain network. Architecture. Generalized Delta learning

rule. Solving exclusive XOR task. 6. Multilayer feedforward chain network. Error back propagation algorithm. Gemetric

interpretation of functioning. Algorithm implementation example.7. Neural networks application to pattern recognition tasks solving. Statement of the

task. Recognition of numbers and letters.8. Neural networks application to forecasting. Prediction of stock market behaviour.

Currency exchange rate prediction.9. Application of neural networks to interpolation and approximation tasks solving.

Architecture. Adjustment algorithm. Geometric interpretation of functioning. Example with single parameter function.

10. Recurrent networks and feedforward chain networks. Architectures and learning rules. Application areas.

11. Kohonen network. Architecture. Learning rule. Solving tasks of cluster analysis.12. Boltzmann machine. Application to solving constrained optimisation tasks.

Implementation examples.13. Hopfield’s recurrent network. Architecture. Learning rule. Application to solving

pattern recognition tasks in the noisy environment. Implementation examples.14. Development prospects of artificial neural network theory. Networks with a

changing architecture. Hybrid neural networks.

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Academic Study Programme“Automation and Computer Engineering”

Doctor’s Degree Study Programme

Selected Course: Pattern Recognition and Image Processing Methods ( 10 CP )

Course Organiser: Professor, Dr. habil. sc. ing. Aleksandrs Glazs

Course Aims: To provide an insight into the basic methods and practical applications of modern techniques relevant to pattern recognition and image processing.

Course Objectives: To have a knowledge of the pattern recognition methods, statistical decision theory, neural networks, to have a knowledge of the image representation and image enhancement.

Book List:1.B. Ripley. Pattern Recognition and Neural Networks. Cambridge University Press, 1996.2.S. Haykin. Neural Networks. A Comprehensive Foundation. Second Edition, Prentice-Hall, Inc., 1999.3.W. Pratt. Digital Image Processing. Second Edition, I. Wiley & Sons, Inc., 1991.

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Academic Study Programme“Automation and Computer Engineering”

Doctor’s Degree Study Programme

Selected Course: Computational Methods in Scientific research ( 5 CP ).

Course Organiser: Professor, Dr. habil. sc. ing. Aleksandrs Glazs

Course Aims: To provide an insight into the basic methods and practical applications of modern techniques relevant to computational methods.

Course Objectives: To have a knowledge of the experimental designs, to have a knowledge of the regression analysis, sequential analysis and analysis of variance, to have a knowledge of the evolutionary and genetic algorithms.

Book List:1. Н.Бусленко, Д.Голенко, И.Соболь и др. Метод статистических

испытаний (метод Монте-Карло). Москва, СМБ, Физматгиз, 1962.2. Л.Растригин. Статистические методы поиска. Москва, Наука, 1968.3. М.Вазан. Стохастическая апроксимация. Москва, Мир, 1972.4. D.Goldberg. Genetic Algorithms : Search, Optimization and Machine

Learning. Addison Wesley, 1989.5. S.Haykin. Neural Networks. A Comprehensive Foundation. Second Edition,

Prentice-Hall, Inc., 1999.6. Н.Дрейпер, Г.Смит. Прикладной регрессионный анализ. Издание 2-ое.

Книги 1,2. Москва, Финансы и статистика, 1986, 1987.7. Б.Эфрон. Нетрадиционные методы многомерного статистического

анализа, Москва, Финансы и статистика, 1988.8. Г.Шеффе. Дисперсионный анализ. Издание 2-ое , Москва, Наука, 1980.9. Д.Финни. Введение в теорию планирования эксперимента. Москва,

Наука, 1970.10.Н.Джонсон,Ф.Лион. Статистика и планирование эксперимента в

технике и науке. Методы и планирование эксперимента, Москва, Мир, 1981.

11.А.Вальд. Последовательный анализ. Москва, Физматгиз, 1960.

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Academic Study Programme“Automation and Computer Engineering”

Doctor’s Degree Study Programme

Compulsory Course: Modern Methods in Computer Graphics, and Image Processing and Scene Analysis ( 8 CP ).

Course Organiser: Professor, Dr. habil. sc. ing. Aleksandrs Glazs

Course Aims: To provide an insight into the basic methods and practical applications of modern techniques relevant to computer graphics, image processing and scene analysis.

Course Objectives: To have a knowledge of the modern algorithms for 3D object representation and transformation, to have a knowledge of the modern pattern recognition methods and neural networks, to have a knowledge of the 3D image and scene analysis.

Book List:1. J. Foley, A.van Dam, S. Feiner, J. Hughes. Computer Graphics. Principles and Practice. Second Edition. Addison-Wesley Publishing Company, 1993.2.D. Hearn, M.Pauline-Baker. Computer Graphics. Second Edition. Prentice-Hall, Inc., 1994.3.B. Ripley. Pattern Recognition and Neural Networks. Cambridge University Press, 1996.4.S. Haykin. Neural Networks. A Comprehensive Foundation. Second Edition, Prentice-Hall, Inc., 1999.5.W. Pratt. Digital Image Processing. Second Edition, I. Wiley & Sons, Inc., 1991.6.Pattern Recognition. The Journal of the Pattern Recognition Society. (USA ).7.Computer Graphics and applications. IEEE Computer Society ( USA ).

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Academic Study Programme“Automation and Computer Engineering”

Doctor’s Degree Study Programme

Compulsory Course: Structural Modeling of Technical and Biological Systems ( 10 CP ).

Course Organiser: Professor, Dr. habil. sc. ing. Zigurds Markovitch

Course Aims: To study in details the methods of modeling of biological systems based on system’s composition and structure

Course Objectives: To study some separate section of mathematic: quantors, relations, graphs, graph’s connection and analysis, theory of topological notions. To have a knowledge on classification of models, ways of structural modeling in technique, biology and medicine.

Book List:1.F.Steenrod, W.Chinn. First Concepts of Topology// Random House, New York, Toronto, 1966., 225p.2.Харари Ф. Теория графов, Мир, Москва, 1973, 300стр.3.J.A. Sihanovitch. Introduction in the modern mathematics. Moscow, 1965., 377p. ( in Russian).4.Z.Markovitch, J.Rekners. Synthesis of Systems Model on the Basis of Topological Minimodels// Automatic Control and Computer Sciences, Vol.32, No.3, 1998, 8p. Allerton Press, Inc. New.York.

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Academic Study Programme“Automation and Computer Engineering”

Doctor’s Degree Study Programme

Selected Course: Diagnostic of Continuous Systems Based on Structural Models ( 10 CP ).

Course Organiser: Professor, Dr. habil. sc. ing. Zigurds Markovitch

Course Aims: To provide an insight into the basic methods and practical applications of modern techniques relevant to computer diagnostics and pattern recognition on topological models.

Course Objectives: To have a knowledge of the pattern recognition theory and application in the diagnostic process of technical and biological systems on the basis of structured modeling.

Book List:1.J.Osis, Z.Markovitch et.all. Diagnostics with the graphs. // Moscow, Transport, 1991., 244p. ( in Russian).2.Rational Fault Analysis // edited by Richard Saeks and Stanley R. Liberty, New York, 1974, 241 p.3.P.Parhomenko, J.Sogomonjans. The basis of the technical diagnostics // Moscow, 1981, 780 p. ( in Russian).

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Academic Study Programme“Automation and Computer Engineering”

Doctor’s Degree Study Programme

Compulsory Course: Advanced technology of networks ( 7 CP ).

Course Organiser: Professor, Dr. habil. dat. Valerijs Zagurskis

Course Aims: To provide an insight into the basic methods and practical applications of modern techniques relevant to computer graphics, pattern recognition and image processing.

Course Objectives: The subject content advanced conceptions for following main directions; optical communications networks; wireless networks; in account satellite and mobile networks; ATM – asynchronous transfer mode The conceptions are consider with implementation advanced methods and technique for technology support.

Book List:1.S.Tekinay, Next generation wireless networks, Kluwer academic pub.ISBN0-7923-7240-9,2000,272pp.2.B.Ramamurthy, Design of optical WDM networks, Kluwer academic pub., ISBN 0-7923-7281-6, 2000, 192pp.3.D.H. Tsang, P.J.Kuhn, Broadband communications, Kluwer academic pub., ISBN 0-7923-8677-9.2000,712pp.4. M.Caballero, F.Hens, R.Seguna,A. Guimera, SONET/SDH, ATM and ADSL: installation and maintenance, Artech House Books, ISBN 1-58053-525-9, 2003, 400pp..

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Academic Study Programme“Automation and Computer Engineering”

Doctor’s Degree Study Programme

Selected Course: Simulation technology of computer networks (15 CP ).

Course Organiser: Professor, Dr. habil. dat. Valerijs Zagurskis

Course Aims: To provide an insight into the basic methods and practical applications of modern techniques relevant to computer graphics, pattern recognition and image processing.

Course Objectives: Throughput and performance evolutions for computer networks; throughput communication channels and techniques; formulating prot4ction policy for systems and networks; design of system interface; networks and data software simulation; simulation and data communications; control management simulation for systems and networks.

Book List:1.N.O.Mattbew, S.M. Ilyas, Simulation of Local Area Networks, CR CPress, ISBNo-8493-2473-4, 1995, 224 pp.2 M.C.Jeruchim, P.Balaban, K.S.Shanmugan, Simulation of Communication Systems, Kluwer academic publ., ISBN 0-306-46267-2, 2000, 924 pp.3.L.Kleinrock, Queuing systems, Willey Int.pub. 1976, 600 pp.

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Academic Study Programme“Automation and Computer Engineering”

Doctor’s Degree Study Programme

Selected Course: Testing and signal processing methods ( 15 CP ).

Course Organiser: Professor, Dr. habil. dat. Valerijs Zagurskis

Course Aims: To provide an insight into the basic methods and practical applications of modern techniques relevant to computer graphics, pattern recognition and image processing.

Course Objectives: The subject content advanced conceptions for following main directions; optical communications networks; wireless networks; in account satellite and mobile networks; ATM – asynchronous transfer mode The conceptions are consider with implementation

Book List:1.S.Stearns, Digital signal processing, CRC press, ISBN 0-8493-1091-1, 2002, 328 pp.2. H.Ural, R.Probert, G.Bochmann, Testing of communication systems, Kluwer acaemic pub. ISBN 0-7923-7921-7, 2000, 336 pp.

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CURRICULUM VITAE

Name: AndrisSurname: OzolsPersonal Code: 290943-10930Born: Jelgava, Latvia; 1943, Sept.29Home Address: Sudrabu Edzus 30-1, Riga, Latvia, LV-1014Working Place: Riga Technical University, Faculty of Computer Science and Information Technology, Institute of Computer Control, Automation and Computer TechniqueEducation: Riga Polytechnical Institute, 1965-1970, Speciality Electrical EngineerScientific Degrees: Candidate of Technical Sciences, 1984; Latvian Nostrification – Dr. Engineering Sciences, 1993Present Position: Docent, Institution of Computer Control, Automation and Computer TechniquePrevious Position: Engineer, 1970-1975 in Institute of Electronics and Computer Science; Lecturer of Riga Technical University, 1976-1985; Docent of Riga Technical University, 1986-till nowCourses in Riga Technical University: Programmable Logic Controllers; Peripherial Equipment of Controllers; Road Traffic Control Theory; Course in Riga Technical College: Programmable Logic ControllersProfessional Interests: Road Traffic Integrated Control and Information Systems, Programmable Logic ControllersResearch ProjectsResearch Project of Latvian Ministry of Transport: Develop of Method for Calculation of National Economy Losses Caused by Road Traffic Accidents, 1994, scientific supervisor.Research Project of Latvian Council of Science (N 93.580): Working-out of Optimal Organization of Technological Process-Road Traffic, 1993-1996, scientific supervisior.Research Project of Latvian Council of Science (N 96.0497): Working-out of Control and Information System for Motorized Individual Transport Parking, 1997-2000, scientific supervisor.Research Project of Latvian Council of Science (N 01.0860): Develop of Transport Local Adaptive Control Algorithm, 2001-2003, scientific supervisor.Publications: 52 Scientific and Technical Publications.Languages: Latvian, Russian, German.Additional Data: Member of Council of Faculty of Computer Science and Information, Riga Technical University; Head of Road Traffic Control Problem Laboratory; Scientific Supervisor for 1 postgraduate doctoral student and for some master students every year;Member of Latvian Transport Development and Education Association.Resent/Representative Publications:A.Ozols. Telematic Elements and Systems in Road Traffic. IV International Conference „Baltic Transit Gateway 99”, Riga, 1999.A.Ozols, V.Gorska. Methodes for Estimation of Vehicle Parking. Nordic-Baltic Transport Research Conference, Riga, 2000.A.Ozols. Delays of Traffic Flow in Regulated Junction. Scientific Proceedings of Riga Technical University, Boundary Field Problems and Computer Simulation, 42nd issue.Riga, 2000.

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Curriculum Vitae

Surname, name Ziema, Mâris Addresses: work: Technical University of Riga, Meza 1, Riga, Latvia

home: 19 Aviâcijas St., apt. 22, Riga, Latvia, LV 1057Telephone numbers: work: 7 333 600

home: (2) 266 019mob. 9 251 514

Place and date of birth: February, 8, 1959, Îslice, district of Bauska, LatviaLanguages: Latvian native, German – good, Russian good,

English intermediate speaking, reading and writing skillsEducation: 1990 - 1991 University of Nurenberg, Germany,

trainee at the Department of Fluid Mechanics1977 - 1982 Riga Polytechnical Institution,

Faculty of Automatic Control and Computer Engineering, Dept. of Computer Technics

Scientific degrees:1991 Dr.sc.ing.1987 Candidate of Technical Sciences,

subject Software for Specialized Multiprocessor Systems1982 Diploma in Engineering of Computer Technologies Published: 32 scientific research worksWork Experience:1995 - Docent, Technical University of Riga.1996 - 1998 Head of the Department of Computer Engineering and

Networks, Riga Technical University1994 -1996 Assistant professor, Riga Technical University1991 - 1994 Scientific collaborator, University of Nurenberg, Germany1987 - 1990 Assistant professor, Riga Polytechnical Institution1982 - 1987 Scientific collaborator, Dept. of Computer Technologies,

Riga Polytechnical Institution Main publications:

Ziema, M., Small Particle Recognition Using Extended Phase-Doppler Anemometer, Proceedings of International Seminar on ENVIRONMENTAL MODELLING, Riga, 1995Braske, H., Brenn, G., Domnick, J., Durst, F., Melling, A., Ziema, M., Extended Phase-Doppler Anemometry for Measurements in Tree-Phase Flows, Communications and Chem. Eng. Technol. 21 (1998) 5. pp. 415-420.

Skills and Experience:Project management, system analyses, provision of software for local governments.Environment: Windows 98, Windows 95, Windows 3.11, Winword, Excel, LSC project: N 96.0478 Methods of analysis and emulation in data acquisition

systems.(1996- 2000).N 01.0856 Desing of integrated multimedia systems for local networks. (2001- )

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Professor  Maximilian Antimirov 

E-mail: antimir@egle.cs.rtu.lvBorn: December 11, 1937, Grozny (Russia)Degrees and education:

1992 – Dr. habil. Phys., Professor, RTU;1967 – Candidate (Doctor) of Physics and Mathematics, Assoc. Prof., RTU;1960 -  graduated from Kirghiz State University (Frunze) in theoretical physics.

Summary of career:Since 2002-Professor, Department of Engineering Mathematics, RTU, 1996 –2002, Deputy Director of the Institute of Engineering Mathematics and head of "Mathematical Physics" group, Institute of Engineering Mathematics, RTU;1992 – 1996, Professor, Department of Applied Mathematics, RTU;1968 – 1992, Assoc. Prof., Department of Applied Mathematics, RTU;1965 – 1968, Senior Research Felloship, Computer Centre, Latvian State University, Riga;1964 – 1965, Post-graduate Student, Computer Centre, Latvian State University, Riga;1960 – 1964, Assistant and Senior lecturer, Department of Mathematics,                        Grozny Petroleum Institute, Grozny.

Field of specialization:Temperature fields in oil strata;Magnetohydrodynamics and free thermal convection;Mathematical problems of nondestructive evaluation;Applied integral transforms;Complex variables and their applications.

Guidance of Ph.D.:Supervisor of 6 Ph.D. researchers, which has defended dissertations in the regions "Mathematical Physics" and "Fluid Mechanics" during 1979-1995. At present- supervisor of 3 Ph.D. researchers.

Publications:More than 120 scientific papers and 3 monographs. Certain publications since 1993:    1. Applied Integral Transforms. AMS, Providence, Rhode Island USA, 1993, 265 pages.    2. Nouvelles classes d'integrale definies. C.R. Acad Sci. Paris, 1994, t. 319, Serie 1, pp. 1089 – 1094.    3. Application of perturbation method to the solution of eddy current testing problems. IEEE Trans. on Magnetics, 1994, vol. 30, No 3,  pp. 1247 – 1252.    4. Analytical solution to the direct eddy unsymmetrical current testing problem for a symmetric flow. C.R. Math. Rep., Acad Sci. Canada, 1994, vol 16, No 1, pp. 9 – 14.    5. Magnetohydrodynamic flows at flooded plane jet running into half space in a strong magnetic field. Magnetohydrodynamics, 1996, No 1, pp. 56 – 62.    6. A class of magnetic fields which keep self-similarity for the problems of free magnetohydrodynamic thermal convection. Magnetohydrodynamics, 1998, No 1, pp. 3 – 16.    7. Mathematical Models for Eddy Current Testing. Les Publication CRM, Montreal, Canada, 1997, 224 pages.   8. Complex Variables. Academic Press, San Diego London Boston New York Sydney Tokyo Toronto, 1998, 476 pages. 9. M.Ya. Antimirov, E.S Ligere. Analytical solution for magnetohydrodynamical problems at flow of conducting fluid in the initial part of round and plane channels. Magnetohydrodynamics. Vol. 36, No.3, pp. 241-250, 2000. 10. Antimirov M., Dzenite I. Exact solution to the problem on the vector potential of an arbitrary form

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wire with given current. Scientific Proceedings of Riga Technical University, 7th series: Telecommunications and Electronics, vol.1, RTU, ISSN 1407-8880, Riga, 2002, pp. 78-84.

CURRICULUM VITAE

BAUMS ALDIS

Present position: Ass.professor of Riga Technical University; Head of Microprocessor System Laboratory, Institute of Electronics and Computer Science Personal data: born in Jelgava, Latvia; 1932, Feb. 16.Education: Latvian University 1951-1956, speciality Physicist.Scientific degrees and titles: Candidate of Technical Sciences, 1965; Latvian nostrification- Dr. sc. comp., 1992; Dr. habilitus sc. comp., 1997.Previous position: Engineer, Senior engineer and Junior scientist, 1956-1961, Head of reasearch Laboratory, 1961, Senior resercher 1965 in institute of Electronics and Computer Science; Lecturer of Riga Technical University 1961., docent of Riga Technical University, 1995, ass. professor of Riga Technical University 2001.Courses in Riga Technical University: Computer Architecture ;Digital Technology; Real Time Systems , cours in Latvian Maritime Academica Information Technology. Professional interests in: Information Technology cmputer and microprocessor system architecture, real-time control systems, system performance and flexibility, control systems for agriculture technology.Research ProjectsResearch Project.of Latvian Council of Science: Distributed Real-Time System Simulation and Design 1993- 1996Research Project of Latvian Council of Science: Control System Rational adaptation for Application and Faults, 1997-2000Publications: 124 scientific and technical publications. Awards: Latvian Academy of Science Presidium First Award 1992; Latvian State Award 1974; Latvian State Award 1987Additional data: Scientific supervisor for 5 postgraduate doctoral students that have successfully completed their research and have obtained their scientific degrees. Editor of the journal Automatic Control and Computer Science.Resent/representative Publications1 A. Baums, U. Grunde, P. Tiss, J. Eglitis, J. Ekmanis Local Area Nets and Multiprocessor Systems Riga, Zinatne, 1991, pp294 ( in russian )..2. A.Baums, N.Zaznova Investigation of distributed Systems by Simulation, International conference: Simulation, Gaming, Training and Business Process Reengineering in Operations. September 19-21, 1996. Riga,3 A. Baums On Relative Flexibility Account of Real-Time System with Hard Deadlines// Automatic and Computer Sciences, vol. 30 , N6, 19964. A. Baums Task Sheduling and Response Time of Distributed Real-Time Systems.// Automatic Control and Computer Sciences, vol. 32 , N3, 1998.

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5. A. Baums, N. Zaznova Investigation of periodic tasks with random execution times // Automatic Control and Computer Sciences, vol. 34 , N3, 2000.6. A. Baums, Control system Structure Adaptation // Automatic Control and Computer Sciences, vol. 34 , N3, 2000.

Curriculum vitae

Prof., Dr.hab.sci.comp. ARKADY BORISOVDepartment of Modelling and SimulationInstitute of Information Technology, Technical University of Riga1, Kalkyu Street, Riga LV-1658, LATVIA

Phone: +371-7089 530 Fax: +371 782 00 94E-mail: aborisov@egle.cs.rtu.lv

Personal Permanent resident of Latviastatistics: Born: February 3, 1938, Kiev (Ukraine)Education: MSc in Automation and Telemechanics, Technical University of Riga, Latvia,

1964.Employments:

Since 2003: Professor of the Dept. of Modelling and Simulation, Institute of Information Technology, Technical University of Riga

1998-2003: Head of the Decision Support Systems Group, Institute of Information Technology, Technical University of Riga.

1997-1998: Director of the Specialized Institute of Intelligent Computer Technologies, Technical University of Riga.

1988-1997: Professor of Computer Science at the Dept. of Decision Support Systems, Technical University of Riga.

1964-1988 Reader, Senior Engineer, Associate Professor at the Dept. of Automatized Control Systems engaged in researches and training specialists in Technical Diagnostics, Systems Theory, Fuzzy Set Theory, Decision Making in Fuzzy Environment, Expert Systems, Artificial Intelligence.

1970 Candidate of Technical Sciences degree in Technical Cybernetics, Technical University of Riga. Theme of the doctoral thesis: Some Learning Algorithms for the Diagnostics of Systems with Fuzzy Classes of States.

1970-1980 Head of the Department of Automatized Control Systems, Technical University of Riga.

1972/1973 Fellow Researcher, Dept. of Electronics, Technical University of Warsaw (Poland). Research in Decision Making in Hierarchical Systems.

1976/1977 Fellow Researcher, Systems Science Department, City University of London (United Kingdom). Research in Methods of Decision Making in Fuzzy Environment.

1986 Doctor of Technical Sciences degree in Control in Technical Systems, Taganrog Engineering Institute (Russia). Theme of the doctoral thesis: Methods and Algorithms for Decision Making under Multiple Criteria and Fuzzy Initial Information.

1992 Dr.hab.sci.comp. degree, Latvian Council of Science.

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Affiliation: Past President of the Baltic Operation Research Society, former President of the Baltic Operation Research Society(1996-1998), member of IFSA European Fuzzy System Working Group, vice-president of the Russian Fuzzy System Association, member of the Scientific Advisory Board of the Fuzzy Initiative Nordrhein-Westfalen (Dortmund, Germany), member of the Latvian National Automation Organisation.Research interests: Artificial intelligence, inductive learning, fuzzy set theory and applications, artificial neural networks, genetic algorithms.

Publications: Author of 183 referred journal papers and contributions to conferences, co-author of 5 monographs.

Curriculum Vitae

Name, Surname: Aleksandrs GlazsID number: 070439-10402Date of birth: April 7, 1939Place of birth: Riga, LatviaMarital status: MarriedHome address: 4 Aglonas street, apt.60, Riga, LV-1057, LatviaPhone: (371) 7 089542 – office

(371) 2 254353 – private

Work experience:From 1999 Director of the Institute of Computer Control , Engineering and Technology , Faculty of Computer Science and Information Technology of Riga Technical University (RTU)

From 1997 RTU, Faculty of Computer Science and Information Technology Professor, Head of the Department of Image processing and

Computer Graphics of the Institute of Computer control, engineering and technology

Professor of the Department of Decision support systems

1971-1997 Latvian State Institute for Leading Managers and Specialists of National Economy

Head of Information Sciences and Computer Engineering department

Assistant professor

Education: Dr.habil.sc.ing., Diploma B-Dh N 00065 from February 19, 1993

issued by Riga Technical University

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Dr.sc.ing., Diploma DT N 01577744 issued by the Highest Attestation Commission, July 17, 1992. The Doctoral thesis “Parametrical and Structural Adaptation of Decision Rules in Recognition Problems” defended in the Russian Academy of Science in Moscow on May 21, 1992.

Candidate of Technical Sciences, Diploma MTN N 075963 01577744 issued by the Highest Attestation Commission, April 26, 1971 – approved by Senate decision of Riga Polytechnical Institute.

1966 graduated from Riga Polytechnical Institute, Faculty of Information Science and Computer Engineering, Diploma CN 470560.

Academic titles: Full member of the Baltic Information Academy (Diploma BA N

0026 from September 18, 1996) Professor (Diploma N49, by Senate decision of the RTU, N455

from January 29, 2001). Professor (certificate N 008, by Senate decision of the Latvian

State Institute for Leading Managers and Specialists of National Economy, April 23, 1992)

Assistant professor (certificate DC N 015222 by the Highest Attestation Commission, October 5, 1977)

Professional societies: Pattern Recognition Society (USA) member from 1997 LANO (Latvian National Organization of Automatic Control )

member Member of Latvian Association of High School Professors Member of RTU Senate Member of the Council of Faculty of Computer Science and

Information Technology

Scientific works: The total number of scientific works is 83, among them as well the book: A.Glaz, “Parametric and structural adaptation of decision rules in recognition problems”, Riga, Zinatne, 1988.

Publications yy:1999 -2003:1. A.Aboltins, A.Glaz, A.Lubans. Improvement of the quality of the

images at radio-isotope scanning. Proceedings of International Conference “Biomedical Engineering”, October 1999, Kaunas University of Technology, Kaunas, Lithuania, 165 – 167.

2. А.Глаз, Е.Рябова. О возможности применения генетических алгоритмов для построения эффективных решающих правил в задачах распознавания. Автоматика и вычислительная техника, № 3, 2000, стр. 64 – 71.

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3. A.Glaz, Y.Shlamov. One approach for recognition reliability enhancement in feed-forward neural network. Proceedings of Second International Conference “Simulation, Gaming, Training and Business Process Reengineering in Operation”, September, 2000, Riga Technical University, Riga, Latvia, 189 – 193.

4. A.Aboltins, A.Glaz, A.Lubans. Improvement of the quality of the images at radio-isotope scanning. Proceedings of International Conference “Biomedical Engineering”, October 2000, Kaunas University of Technology, Kaunas, Lithuania, 194 – 197.

5. A.Glaz, Y.Dekhtyar, E.Zelenko. Correlation algorithm to find features of exoemission images. Proceedings of International Conference “Biomedical Engineering”, October, 2000, Kaunas University of Technology, Kaunas, Lithuania, 191 – 193.

6. S.Kokins, A.Glaz. Impoving the quality of images supplied by weak emission feuxes. Proceedings of International Conference “Biomedical Engineering”, October, 2000, Kaunas University of Technology, Kaunas, Lithuania, 198 – 201.

7. A.Glaz, J.Shlamov. Committee Methods using   for Recognition Error Minimization in Feed-Forward Neural Network. Scientific Proceedings of Riga Technical University. Vol.5, Computer Science. Technologies of Computer Control. N 1, RTU, Riga, 2000.

8. S.Kokins, A.Glaz. New Method for Image Quality Enhancement. Scientific Proceedings of Riga Technical University. Vol.5, Computer Science. Technologies of Computer Control. N 1, RTU, Riga, 2000.

9. A.Glaz, A.Lubans. One Method of obtaining of the Image at Radioisotope Scan. Scientific Proceedings of Riga Technical University. Vol.5 Computer Science. Technologies of Computer Control. N 1, RTU, Riga, 2000.

10. A.Glaz, Y.Shlamov. Committee Methods Using for Recognition Reliability Enhancement Feed – Forward Neural Network. Proceedings of 16-th International Conference on Production Research, 2001, Prague, Pp. E3.5 1 - 6.

11. А.Глаз, Ю.Шлямов, С.Ярцева. Применение нейронных сетей для распознавания лиц. Докл. 10 Всероссийской конференции "Математические методы распознавания образов ( MMРO-10), Российск. Акад. Наук, Москва,2001. 

12. A,Glaz, Y.Shlamov. Extended Ensemble Averaging Algoritnm in Feed-Forward Neural Networks. Scientific Proceedings of Riga Technical University. Vol.5, Computer Science.Technologies  of Computer Control. N6, RTU,Riga, 2001.

13. A.Glaz, A.Lubans. Two Radioisotope Scan  Projections Usage  for Image Extracting. Scientific Proceedings of Riga Technical University. Vol.5, Computer Science. Technologies of Computer Control. N6, RTU, Riga, 2001.

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14. A.Glaz, A.Lubans. Analysis of the Mathematical Models for Correction ofRadioisotope Scans Images. Proceedings of Riga Technical University.Vol.5, Computer Science. Technologies of Computer Control. N11, RTU, Riga, 2002.

15. A.Lubans,A.Glaz. The processing of images at radioisotope scan. Proceedings of the International Federation for Medical and Biological Engineering. 2-nd European Medical and Biological Engineering Conference (EMBEC’02). Part 1, December 2002, Vienna, Austria.

16. A.Glaz,I.Kreics. Usage of a Three-Dimensional Transformation for FaceRecognition. Proceedings of Riga Technical University, Vol.5, Computer Science. Tehnologies of Computer Control. N11, RTU, Riga, 2003.

Awards: In 1983 the work “Parametric and Structural Adaptation of decision Rules in Recognition Problems” was awarded by Diploma on the 5th

exhibition of the Latvian high school scientific works

Languages: Latvian, Russian, English.

Hobbies: Alpine skiing, volleyball, jazz music.

Prof. A.A. KolyshkinCurriculum vitae

1. Date and place of birth: 25 October 1954, Tallinn, Estonia

2. Marital status: married with two children

3. Languages written and spoken: English, Latvian, Russian.

4. Education: Graduated in Applied Mathematics from Riga Polytechnic Institute (1971 – 1976), PhD in Differential Equations and Mathematical Physics from St-Petersburg (then Leningrad)University, 1981. 5. Employment history:

1. Research Assistant, 1979 – 1980, Laboratory of Nondestructive Testing at The Riga Technical University (then Riga Polytechnic Institute)

2. Assistant Professor, 1980--1983, at The Riga Technical University (then Riga Polytechnic Institute),

3. Senior Lecturer, 1983-1990, at The Riga Technical University, 4. Docent, 1990 --1999, at The Riga Technical University,

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5. Associate Professor, 1999 - 2002, at The Riga Technical University.6. Professor, 2002 - , at The Riga Technical University

6. Present positions: 1. Professor, The Riga Technical University, Department of Engineering Mathematics, 1 Meza St., Riga, Latvia LV 1048, telephone: 0371 – 708 – 9565, 0371 – 708 – 9528 e-mail: akoliskins@rbi.lv, akolis@ust.hk 2. Associate Professor of Statistics, Riga Business School, 11 Skolas Str., Riga, Latvia 3. Adjunct Professor, Oct. 1, 1993 to June 30, 2002, Department of Mathematics, University of Ottawa, Ottawa, Ontario, Canada K1N 6N5

7. Visiting positions: 1. University of Ottawa (December 1987 - July 1988) 2. University of Ottawa (September 1990 - October 1990) 3. University of Ottawa (September 1991 - August 1992) 4. University of Ottawa (May 1993 - August 1993) 5. University of Ottawa (September 1994 - April 1995) 6. University of Ottawa (May 1996 - June 1997) 7. Hong Kong University of Science and Technology (March 1998 - August 1998) 8. University of Ottawa (December 1998 – January 1999) 9. Hong Kong University of Science and Technology (February 1999 – August 1999) 10. Hong Kong University of Science and Technology (February 2000 – August 2000) 11. Hong Kong University of Science and Technology (March 2001 – August 2001) 12. Hong Kong University of Science and Technology (January 2002 – August 2002) 13. Hong Kong University of Science and Technology (March 2003 – August 2003)

8. Contact with industrial and government research: 1. Laboratory of Nondestructive Evaluation, Riga Technical University, Riga,Latvia. 2. Nondestructive Testing Branch, Chalk River Nuclear Laboratories, Chalk River, Ontario,Canada K0J 1J0 3. Institute for National Measurement Standards, Ionizing Radiation Standards, National Research Council Canada, Ottawa, Ontario,Canada K1A OR6. 4. Industrial Materials Institute, National Research Council Canada, 75, deMortagne, Boucherville (Qu'ebec), Canada J4B 6Y4.

9. Main research interest: Investigation of stability problems in hydraulics and fluid mechanics with applications to open-channel flows and transient flows in hydraulic systems. Mathematical methods for heat and mass transfer problems.Mathematical models for eddy current testing problems. Business applications of statistics..

10. Publications in refereed journals (since 1978):

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1. M.S. Ghidaoui and A.A. Kolyshkin (2002), Quasi-steady approach to the instability of

time dependent flows in pipes, Journal of Fluid Mechanics, v. 465, pp. 301-3302. M.S. Ghidaoui and A.A. Kolyshkin (2002), Gravitational and shear instabilities in compound and composite channels, Journal of Hydraulic Engineering, v. 128(12), pp. 1076 – 1086.3. A. A. Kolyshkin, R. Vaillancourt and I. Volodko (2002), On the stability of transient viscous flow in an annulus, Advances in Continuum Mechanics, World Scientific (the paper is accepted for publication).4. A. A. Kolyshkin and I. Volodko (2002), Transient viscous flow in an annulus,

Mathematical modelling and analysis, v.7, no. 2, pp. 263 – 270. 5. A.A. Kolyshkin and R. Vaillancourt (2002), Flow stability in the Taylor-Dean system: a

wide gap problem, Latvian Journal of Physics and Technical Sciences, no. 1, pp.17—25.

6. M.S. Ghidaoui and A.A. Kolyshkin (2002), Unsteady laminar flow in a pipe, Scientific Proceedings of Riga Technical University, 44th thematic

issue: Boundary field problems and computer simulation, pp.26 - 31 , RTU, Riga.7. M.S. Ghidaoui and A.A. Kolyshkin (2001), Stability analysis of velocity profiles in water- hammer flows, Journal of Hydr. Engineering ASCE, vol. 127, no. 6, pp. 499 –512.8. A. A Kolyshkin and R. Vaillancourt (2001), Asymptotic solution for unsteady viscous flow in a plane channel, Latvian Journal of Physics and Technical Sciences, no. 3, pp.12—19.

9. A. A. Kolyshkin and I. Volodko (2001), On the linear stability of unsteady flow in a plane channel, Scientific Proceedings of Riga Technical University, 43th thematic issue: Boundary field problems and computer simulation, pp.26 - 31 , RTU, Riga.10. A. A. Kolyshkin and I. Volodko (2000), On the stability of velocity profiles with reverse flow in a pipe, Scientific Proceedings of Riga Technical University, 42th thematic issue: Boundary field problems and computer simulation, pp. 69—73, RTU, Riga.11. M.S. Ghidaoui and A.A. Kolyshkin (1999), Linear stability analysis of lateral motions in compound open channels, Journal of Hydr. Engineering ASCE, vol. 125, no. 8, pp. 871—880. 12. M.S. Ghidaoui and A.A. Kolyshkin (1999), Some global properties of flow in a heterogeneous isotropic porous medium, Mechanics Research Communications, vol. 26, no. 2, pp. 161—166.13. A.A. Kolyshkin and R. Vaillancourt (1999), Series solution of an eddy-current problem

for a sphere with varying conductivity and permeability profiles, IEEE Transactions on Magnetics, v. 35, pp. 4445 – 4451.

14. A.A. Kolyshkin and R. Vaillancourt (1998), Comparing the layer and Born approximations with experimental data in eddy current testing, IEEE Transactions on Magnetics, v. 34, pp. 524—526.15. E.N. Derun, A.A. Kolyshkin, and R. Vaillancourt (1998), Eddy current probe impedance

due to a flaw: the influence of phase-shifted fields, Journal of Nondestructive Evaluation, v.17, no.2, pp. 47—52.

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16. A. A. Kolyshkin and R. Vaillancourt (1997), Convective instability boundary of Couette flow between rotating porous cylinders with axial and radial flows, Physics of Fluids A, vol. 9, no. 4, pp. 910--918.

17. A. A. Kolyshkin and R. Vaillancourt (1997), Analytical solutions to eddy current testing problems for a layered medium with varying properties, IEEE Trans. on Magnetics, July, vol. 33, no. 4, pp. 2473--2477. 18. A. A. Kolyshkin and R. Vaillancourt (1996), Linear stability of Couette--Poiseuille flow between rotating permeable cylinders, C. R. Math. Rep., Acad. Sci. Canada, vol.18, no. 6, pp. 263--268.19. A. A. Kolyshkin and R. Vaillancourt (1996), Linear stability of Couette flow with rotating inner cylinder and radially nonuniform internal heat sources, Int. J. Heat and Mass Transfer, vol. 39, no. 3, pp. 537--545. 20. E. N. Derun, A. A. Kolyshkin and R. Vaillancourt (1996), Enhanced eddy current mathematical models using the phase-shifted fields of two coils, C. R. Math. Rep., Acad. Sci. Canada, vol. 18, no. 3, pp. 113--118.20. A. A. Kolyshkin and R. Vaillancourt (1996), Double conductor line above a two- layered cylinder with varying properties, J. Australian Mathematical Society, Series B --- Applied Mathe matics, vol. 38, Part 1 (July) pp. 1--15.22. M. Ya. Antimirov, A. A. Kolyshkin and R. Vaillancourt (1996), A perturbation method

for flaw detection in eddy current testing of cylindrical tubes, Canadian Appl. Math. Quarterly, vol. 4, no. 3, (Summer), pp. 229--242.

23. A. A. Kolyshkin and R. Vaillancourt (1995), On the influence of radially nonuniform internal heat sources on the stability of Couette flow, C. R. Math. Rep., Acad. Sci. Canada, vol. 17, no. 1, pp. 37--42.24. A. A. Kolyshkin and R. Vaillancourt (1995), Series solution of forward eddy current

problem for a cylinder with nonconstant wall property, C. R. Math. Rep., Acad.Sci. Canada,vol. 16, no. 6, pp. 271--276.

25. A. A. Kolyshkin and R. Vaillancourt (1995), Impedance of a single-turn coil due to a double- layered sphere with varying properties, IEEE Trans. on Magnetics, vol. 31, no. 3, pp. 2274--2279.26. A. A. Kolyshkin and R. Vaillancourt (1995), Series solution for impedance change

induced by a double layered sphere with varying properties, C. R. Math. Rep., Acad. Sci. Canada, vol. 17, no. 1, pp. 11--16.

27. A. A. Kolyshkin, Evgeny G. Okoulich-Kazarin and R. Vaillancourt(1995), A mathematical formula for determining the useful measuring time for the transient hot-wire problem, C. R. Math. Rep., Acad. Sci.Canada,vol. 17, no. 1, pp. 31--36.

28. E. N. Derun, A. A. Kolyshkin and R. Vaillancourt (1995), Interaction of phase-shifted fields of two single-turn coils situated above a conducting medium, J. of Nondestructive Evaluation, vol. 14, no. 4, pp. 193--200.

29. A. A. Kolyshkin, Evgeny G. Okoulich-Kazarin and R. Vaillancourt (1995), An analytical solution to the transient hot-wire method, Can. Applied Math. Quartely, vol. 3, no. 3, Summer, pp. 311--335.30. A. A. Kolyshkin and R. Vaillancourt (1995), Method of solution of forward problems in

eddy- current testing, J. Appl. Phys., vol. 77, no. 10, 15 May, pp. 4903--4913.31. R. Vaillancourt, E. N. Derun and A. A. Kolyshkin (1995), Analysis of the

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interaction of phase-shifted fields of two coils carrying current with a conducting medium, Defektoskopiya, no. 11, 18--25.(krievu val).32. E. N. Derun, A. A. Kolyshkin and R. Vaillancourt (1994), Signal simulator for testing

eddy current probes, IEEE Trans. on Magnetics,vol. 30, no. 1, pp. 92--97.33. M. Ya. Antimirov, A. A. Kolyshkin and R. Vaillancourt (1994), Analytical solution to the direct unsymmetric eddy current testing problem for a symmetric flaw, C. R. Math.Rep., Acad. Sci. Canada, vol. 16, no. 1, pp. 9--14.34. M. Ya. Antimirov, A. A. Kolyshkin and R. Vaillancourt (1994), Application of a perturbation method to the solution of eddy current testing problems, IEEE Trans. on Magnetics, vol. 30, no. 3, pp. 1247--1252.35. A. A. Kolyshkin and R. Vaillancourt (1994), Analytical solution to eddy current testing of cylindrical problems with varying properties, Can. Appl. Math. Quart.,vol. 2, no. 3, (Summer) pp. 349--360. 36. M. Ya. Antimirov, A. A. Kolyshkin and R. Vaillancourt (1994), Nouvelles classes d'int'egrales d'efinies,C. R. Acad. Sci. Paris, series I, vol. 319, no. 10, pp. 1089-1094.36. A. A. Kolyshkin and R. Vaillancourt (1993), On the stability of nonisothermal circular Couette flow,Physics of Fluids A, vol. 5, no. 12, pp. 3136--3146.37. A. A. Kolyshkin and R. Vaillancourt (1993), On the stability of convective motion in a tall vertical annulus in a magnetic field, Can. Applied Math. Quarterly, vol. 1, no 1, (Winter) pp. 3 - 21. 39. A. A. Kolyshkin and R. Vaillancourt (1993), Pseudo-spectral analysis of stable nonisothermal circular Couette flow, C. R. Math. Rep., Acad. Sci. Canada, vol. 15, no. 4, pp. 173--178.40. V. S. Kondrashov, Z.. D. Moroz, A. A. Kolyshkin and R. Vaillancourt (1993), A

computer program for the identification of nuclides by using median estimates of peak areas in gamma-ray spectra, Nuclear Instruments and Methods in Physics, vol. A328, pp. 542--546.

41. M. Ya. Antimirov, A. A. Kolyshkin and R. Vaillancourt (1993), A perturbation method for asymmetric problems in eddy current testing, Can. Applied Math. Quarterly, vol. 1, no. 3, (Summer), pp. 293--310.

42. E. N. Derun, A. A. Kolyshkin and R. Vaillancourt (1993), Mathematically modeling a signal simulator for the calibration of eddy current probes, C. R. Math. Rep., Acad.Sci. Canada, vol. 15, no. 4, pp. 155--160.

43. M. Y. Antimirov, A. A. Kolyshkin and R. Vaillancourt (1993), Application of the perturbation method in eddy current testing, in Asymptotic Methods in Mechanics, ed. by R. Vaillancourt and A. L. Smirnov, CRM Proceedings and Lecture Notes, no.~3, Amer. Math. Soc., Providence, R. I., pp. 143--152.44. A. A. Kolyshkin and R. Vaillancourt (1992), Exact solutions for unsteady convection- diffusion problems, C.R.Math.Rep., Acad. Sci. Canada vol. 14, no. 4, pp. 137--142.45. M. Ya. Antimirov, A. A. Kolyshkin and R. Vaillancourt (1992), Solution of direct asymmetric problems in eddy current testing by a perturbation method, C.R.Math.Rep., Acad. Sci. Canada, vol. 14, no. 5, pp. 195--200.46. M. Ya. Antimirov, A. A. Kolyshkin and R. Vaillancourt (1991), Eddy-current nondestructive testing by a perturbation method, J. Nondestructive Evaluation, vol.10, no.1, 31-37.

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47. A. A. Kolyshkin and R. Vaillancourt (1991), Stability of internally generated thermal convection in a tall vertical annulus, Can. J. Phys., vol. 69, pp. 743-748. 47. A. A. Kolyshkin, A. P. Smolyakov and R. Vaillancourt (1991), Analytical solution for impedance change due to depth-varying magnetic properties in eddy-current testing, Trans. IEEE Trans. on Magnetics, vol. TM-27, pp. 4360--4365.49. A. A. Kolyshkin and R. Vaillancourt (1990), A mathematical model for convective

stability problems in a tall vertical annulus, C.R.Math.Rep., Acad. Sci. Canada vol. 12, pp. 241-246.

50. A. A. Kolyshkin (1990), On the stability of convective motion in a vertical co-axial cylinder in a radial magnetic field, in Proc. 13-th Magnetohydrodynamic Seminar, pp. 54 – 55, Riga.51. A. A. Kolyshkin, E. G. Okoulich-Kazarin and R. Vaillancourt (1990), A combined

unsteady method for the determination of thermal conductivity of gases an fluids, Int. Comm. Heat Mass Transfer, vol. 17, pp. 521--526.

52. A. A. Kolyshkin and R. Vaillancourt (1989), A note on a method of solution for convective stability problems, Communications in Applied Numerical Methods, vol. 5, pp. 299--307.53. A. A. Kolyshkin and R. Vaillancourt (1988), Spectral methods for the solution of convective stability problems, Appl. Math. Notes, vol. 13, pp. 14--21.54. A. A. Kolyshkin (1988), On the stability of steady convective motion generated by internal heat sources in a magnetic field, Can. J. Phys., vol. 66, pp. 990--993.55. A. A. Kolyshkin (1988), Convective stability of a horizontal fluid layer with nonuniformly distributed internal sources of heat in a magnetic field, Magnetohydrodynamics, vol. 24 no. 4, pp. 435--439.56. A. A. Kolyshkin (1987), On the influence of a magnetic field on the convective stability

of a horizontal layer of fluid with non-uniform heat sources, in Proc.~12-th Magnetohydrodynamic Seminar, Riga, vol.~1, pp. 187--190. 57. A. A. Kolyshkin (1987), Effect of a magnetic field on convective stability of a planar horizontal fluid layer with internal heat sources, Magnetohydrodynamics, vol. 23 no. 1, pp. 58-61.58. A. A. Kolyshkin (1984), Slow motion of a viscous conducting liquid between two

rotating tori in a radial magnetic field, Magnetohydrodynamics, vol. 20, no. 4, pp. 385-387.

59. M.Ya. Antimirov and A. A. Kolyshkin (1984), Nonstationary MHD flow in an annular channel in a radial magnetic field, Magnetohydrodynamics, vol. 20, no. 3, pp. 285--287.

60. V. S. Fastrickii, M. Ya. Antimirov and A. A. Kolyshkin (1984), A method for calculating the field generated by an electrical current in a circle in a semi-infinite space with defect, in Methods and Instruments for Automatic Nondestructive Control, Riga, pp. 5--11.

61. M. Ya. Antimirov and A. A. Kolyshkin (1982), Nonstationary MHD convection in a vertical annular channel, Magnetohydrodynamics, vol. 18, no. 2, pp. 147--151.62. M. Ya. Antimirov and A. A. Kolyshkin (1981), Unsteady MHD convection in a vertical

coaxial channel, in Proc.~10th Magnetohydrodynamic Symposium, vol. I, General and theoretical problems, Salaspils, pp. 47--48.

63. M. Ya. Antimirov and A. A. Kolyshkin (1980), Stability of Couette flow in a radial magnetic field, Magnetohydrodynamics, vol. 16, no. 2, pp. 145--150.

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64. A. A. Kolyshkin (1979), Steady MHD convection in a vertical annular duct in a radial magnetic field, Magnetohydrodynamics, vol. 15, no. 2, pp. 140--145.65. A. A. Kolyshkin (1979), On the convective stability of fluid in a vertical circular channel relative to periodical disturbances along the vertical, in Proceedings of the Academy of Sciences of Latvian SSR, Physical and Technical series, no. 5, pp. 80-85.66. M. Ya. Antimirov and A. A. Kolyshkin (1979), Steady-state MHD convection in a vertical round channel located in a nonuniform magnetic field, Magnetohydrodynamics, vol. 15, no. 1, pp. 40--44.67. M. Ya. Antimirov and A. A. Kolyshkin (1978), Unsteady MHD convection located in a vertical circular channel, Magnetohydrodynamics, vol. 14, no. 3, pp. 279--284.68. M. Ya. Antimirov and A. A. Kolyshkin (1978), Unsteady MHD convection in the vertical circular channel, in Proc. 9-th Magnetohydrodynamic Symposium, vol. 1, General and theoretical problems. Salaspils, p. 54-55.

11. Reports published by the University of Montreal 1. A. A. Kolyshkin and R. Vaillancourt(1997), Stability of Couette flow between rotating porous cylinders with axial and radial flows, CRM--2453.

2. E. N. Derun, A. A. Kolyshkin and R. Vaillancour(1996), Analysis of the interaction between the phase-shifted fields of two coils carrying currents and a conducting medium, CRM--2347. 3. A. A. Kolyshkin and R. Vaillancourt(1996), On the stability of convective flow between porous cylinders with radial flow, CRM--2339.

4. E. N. Derun, A. A. Kolyshkin and R. Vaillancour(1995), Interaction of phase- shifted fields of two single-turn coils situated above a conducting medium, CRM- -2322.5. A. A. Kolyshkin and R. Vaillancourt(1994), Method of solution of forward problems in eddy-current testing, CRM--2260.

6. M. Ya. Antimirov, A. A. Kolyshkin and R. Vaillancourt(1994), A perturbation method for flaw detection in eddy current testing of cylindrical tubes, CRM-2231. 7. A. A. Kolyshkin, E. G. Okoulich-Kazarin and R. Vaillancourt(1994), Aanalytical solution to the transient hot-wire method, CRM--2226. 8. M. Ya. Antimirov, A. A. Kolyshkin and R. Vaillancourt(1994), Nouvelles classes d'int'egrales d'efinies, CRM--2209.

9. A. A. Kolyshkin and R. Vaillancourt(1994), Impedance of a single-turn coil due to a double-layered sphere with varying properties, CRM--2193.

10. A. A. Kolyshkin and R. Vaillancourt(1994), Double conductor line above a two- layered cylinder with varying properties, CRM--2192.

11. A. A. Kolyshkin and R. Vaillancourt (1993), Linear stability of Couette flow with rotating inner cylinder and radially nonuniform internal heat sources, CRM- 1900.12. A. A. Kolyshkin and R. Vaillancourt (1993), Analytical solution to eddy current testing of cylindrical problems with varying properties, CRM--1899.

13. M. Ya. Antimirov, A. A. Kolyshkin and R. Vaillancourt (1993), Application of a perturbation method to the solution of eddycurrent testing problems, CRM— 1886.

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14. M. Ya. Antimirov, A. A. Kolyshkin and R. Vaillancourt (1992), Application of the perturbation method in eddy current testing, CRM--1817.

15. M. Ya. Antimirov, A. A. Kolyshkin and R. Vaillancourt (1992), Eddy current testing of eccentric tubes by a perturbation method, CRM--1816.16. A. A. Kolyshkin and R. Vaillancourt (1992), Exact solutions for unsteady convection- diffusion problems, CRM--1815.

. 17. A. A. Kolyshkin, E. G. Okoulich-Kazarin andt R. Vaillancourt (1992), On the theory of the transient hot-wire method, CRM--1814.

18. A. A. Kolyshkin and R. Vaillancourt (1992), On the stability of nonisothermal circular Couette flow, CRM--1800.

19. A. A. Kolyshkin and R. Vaillancourt (1992), On the stability of convective motion caused by inhomogeneous internal heat sources, CRM--1799. 20. E. N. Derun, A. A. Kolyshkin and R. Vaillancourt (1992), Signal simulator for eddy current probe testing, CRM--1798. 21. M. Ya Antimirov, A. A. Kolyshkin and R. Vaillancourt (1991), Solution of a

symmetric problems in eddy current testing by perturbations methods, CRM— 1793.

22. V. S. Kondrashov, Z. D. Moroz, A. A. Kolyshkin and R. Vaillancourt (1991), A computer program which identifies nuclides by using median estimates of peak areas in gamma-ray spectra, CRM--1780.

23. A. A. Kolyshkin, E. G. Okoulich-Kazarin and R. Vaillancourt (1991), Mathematical and computational models for the hot-wire determinationof thermal properties of gases and fluids, CRM--1755.24. A. A. Kolyshkin and R. Vaillancourt (1990), On the stability of convective motion in a tall vertical annulus in a magnetic field, CRM--1710.25. A. A. Kolyshkin and R. Vaillancourt (1990), Stability of internally generated thermal convection in a tall vertical annulus, CRM--1707.26. A. A. Kolyshkin, A. P. Smolyakov and R. Vaillancourt (1990), Analytical solution for impedance change due to depth-varying magnetic properties in eddy- current testing, CRM--1704.

27. M. Ya. Antimirov., A. A. Kolyshkin and R. Vaillancourt (1990), Perturbations methods applied to eddy-current nondestructive testing, CRM--1703.

12. Books: 1.A. A. Kolyshkin and R. Vaillancourt (2000), Eddy current testing , Encyclopedia of Mathematics, Supplement II, M. Hazewinkel, managing editor, Kluwer Academic Publishers, pp. 180--182.

2. M. Ya. Antimirov, A. A. Kolyshkin and R. Vaillancourt(1998), Complex Variables.Academic Press, San Diego, 476 pp. ISBN 0-12-059545-1

3. M. Ya. Antimirov, A. A. Kolyshkin and R. Vaillancourt (1997), Mathematical Models for Eddy Current Testing. Publications CRM, Montreal, 224 pp. ISBN 2- 921120-30-5 4. M. Ya. Antimirov, A. A. Kolyshkin and R. Vaillancourt (1993), Applied Integral Transforms, CRM Monograph Series, no. 2, Amer. Math. Soc., Providence, R. I., 265 pp.ISBN 0-8218-6998-1

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13. Presentations at conferences:1. M. S. Ghidaoui and A. A. Kolyshkin (2002), Unsteady fluid flow analysis in pipes and channels with applications to hydraulics, 43 RTU research conference, October 10 – 14. 2. M. S. Ghidaoui and A. A. Kolyshkin (2002), Roll waves and surges in channels: onset and initial development, Second International Symposium on Flood Defence, Beijing, September 10-13.3. A. A. Kolyshkin and I. Volodko (2002), On the stability of unsteady viscous flow in an annulus, 4. Latvijas matemātikas konference, Ventspils, 26.- 27. aprīlis.

4. A. A. Kolyshkin and I. Volodko (2002), Transient viscous flow in an annulus, 7th International conference Mathematical modelling and analysis, Kaariku, Estonia, May 31 – June 2.

5. A. A.Kolyshkin un I. Volodko (2001), Linear stability of unsteady flow in a plane channel, RTU 42 International Research conference, Riga, October 11-13. 6. M. S. Ghidaoui and A. A. Kolyshkin (2001), Analysis of turbulent wakes in shallow water using stability theory, Proc. Of the 2001 Int. Symposium of Environmental Hydraulics, Arizona, USA. 7. M.S. Ghidaoui, A.A. Kolyshkin and B.C. Yen (1999), Influence of momentum correction coefficients on linear stability analysis of open-channel flows, IAHR conference, Graz, Austria. 8. M.S. Ghidaoui, A.A. Kolyshkin and R. Vaillancourt (1998), Convective stability of mixed flow between permeable cylinders, 11th International Heat Transfer conference, Seoul, Korea. 9. M.S. Ghidaoui, D. Jiaquan and A.A. Kolyshkin (1998), Shear flows in shallow water: foundation and accuracy of the rigid-lid assumption, Environmental Hydraulics, Ed. by J.H.W.Lee, A.W. Jayawardena and Z.Y. Wang, Hong Kong, 16 – 19 of December, pp. 525 – 530. 10. A. A. Kolyshkin and R. Vaillancourt (1997), Flaw detection by the eddy current layer approximation, Southern Ontario Numerical Analysis Day,University of Toronto,April. 11. A. A. Kolyshkin and R. Vaillancourt (1997), Layer approximation method for flaw detection by eddy current testing, CAMS 97, Annual Meeting of the Canadian Applied Mathematics Society, Fields Institute, Toronto, May-June. 12. A. A. Kolyshkin and R. Vaillancourt (1996), On the stability of convective flow

between porous cylinders with radial flow, Proceedings of the 2nd European Thermal-Sciences and 14thUIT National Heat Transfer Conference, Rome, Italy, 29-31 May, 1996, ed. by G. P. Gelata, P. Di Marco and A. Mariani, Edizione ETS, Pisa, Vol. I, pp. 577--584.

13. A. A. Kolyshkin and R. Vaillancourt (1993), On the stability of Couette flows, CAMS 93, Annual Meeting of the Canadian Applied Mathematics Society,York University, June. 14. Lecture notes: 1. M. Ya Antimirov and A. A. Kolyshkin (1984), Elements of hydrodynamics and convective stability, Riga, RPI, 80 pp. 2. A. A. Kolyshkin (1989), Algorithms for the solution of problems in linear algebra,

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Riga, RPI, 50 pp. 3. V. A. Janson, A. A. Kolyshkin and D. E. Pablaks (1991), Entrance exam mathematics problems at the RigaTechnical University. RTU, 73 pp. 4. A. A. Kolyshkin and R. Vaillancourt (1997), Differential equations, numerical methods and Laplace transforms for engineers, Department of Mathematics and Statistics, University of Ottawa,Ottawa, Canada K1N 6N5. 187 pp. 5. B. Dionne, A. A. Kolyshkin and R. Vaillancourt (1997), Engineering Mathematics, Department of Mathematics and Statistics, University of Ottawa,Ottawa, Canada K1N 6N5. 135 pp. 15. Reviewer for refereed journals: 1. IEEE Transactions on Magnetics

2. Journal of Applied Physics3. Fluid Dynamics Research4. ZAMP5. Journal of Hydraulic Engineering6. Physics of Fluids

16. Courses given in other universities 1. Managerial statistics, a course in MBA program at the Grodno School Management, October 2002 (8 students)

3. Mathematical methods in engineering, graduate course for Mphil and PhD students at the Hong Kong University of Science and Technology, June 2002 – August 2002 (15 students)

3. Fluid Mechanics, undergraduate course at the Hong Kong University of Science and Technology, January 2002 – May 2002 (123 students) 4. Stability of fluid flows, graduate course at the Hong Kong University of Science and Technology, January 2002 – May 2002 (5 students) 5. Elements of stability theory of fluid flows, a course for graduate students and professors at the Hong Kong University of Science and Technology, June 2001 (7 participants) 6. Mathematical analysis, undergraduate course at the University of Ottawa, Canada, January 1997 – May 1997 (12 students) 7. Calculus, undergraduate course at the University of Ottawa, Canada, January 1997 – May1997 (60 students) 8. 15 undegraduate courses in different areas of mathematics (Calculus, Linear Algebra, Differential Equations) at the University of Ottawa from 1991 till 1996.

21. Administrative positions 1. Member of Faculty Council (1999 - ) 2. Head of professor’s group “Mathematical modelling” (1999 – 2002)

4. Deputy head of the Department of Engineering Mathematics (2002 - )5. Member of editorial board of the journal “Boundary field problems and computer

Simulation”, (2002 - ) I am a member of American Mathematical Society and Latvian Mathematical Society. My name is mentioned in the book “Marquis Who’s Who in the World”, 12th edition, 1995.

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Name, surname

AddressData and place of birthPhoneOccupationTitleAffiliation

AddressPhoneE-mailEducation 2000,2001

19841955-1960

Experience 1993- present

1993-1999 1993

1973-1992 1962-1972

Research directions, results

1970

1993

Zigurds Markovitch

88-93 Kurzemes pr. Riga, Latvia LV1069 3 December 1936, Alūksne, Latvia +371 9114996,7413893 professor Dr.habil.sc.ingRiga Technical University, Faculty of Computer Science and Information Technology, Institute of Computer Control l Meža str, Riga, LVI048, Latvia +371 7089562

Courses on Automatization KlinkmannTutorial session on pedagogies, LeningradRiga Polytechnical Institute, speciality engineering-electric mechanic

professor, Institute of Computer ControlDeli vērs the following subjects: Computer ControlSystems, Flexible Manufacturing Systems, ComputersSystems in Medicine, Modelling of Technical andBiological Systems.director of Institute of Automationchairman of Department of Digital Control and

Robototechnic assoc. professor Assistant at Riga Technical University

Mathematical modelling and diagnostics in techniqueand medicine, expert systems.Candidate of Technical Sciences Diploma No 064640.Theme: Mathematical Models of ComplicatedDiagnostic Objects.On the basis of the Promotion Councils decision P-09 ofthe 8-th December, 1992 with the order issued by RTUNo.2-2149 of 17-th December, 1992, Z Markovitch hasconferred the academic degree of the Doctor ofEngineer Sciences, Dr.sc.ing.Dr. habil.sc.ing. Defended thesis at RTU : Diagnosticsof Non-interrupted Systems by Digraph. Diploma paperB-DhNo.000077.158 publications: 123 papērs in scientific journals,conferences, workshops and symposiums, l monographand 35 several text-books for students. Participationswith reports in 13 local, 28 USSR and 16 internationalscientific conferences.

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Co-author in following applied projects: the computer-aided screening diagnostics systems of heart diseases, the expert system for differential diagnostics of the pathogenetic variants of arterial hypertension, the diagnostics system of the jet engine NK-82V, the diagnostics system for the jet engine PS-90A. Scientific consultant to 3 postgraduate students: K.Viksna, MedD 1982, L.Dubrovskis, IngD 1983, N. Novozhilova, IngD 198 5. Now he conducts studies of 5 postgraduate students.The most significant publications:

1. Z.Markovitch, J.Osis.Cybernetic Methodsand Means in TehnicalDiagnostics.Prague, 1972,30p.

2. J.Osis, Z.Markovitch. Method for DiagnosticParameters Selection for Objects with Non-interrupted Functionation.USSR Institute ofEngineering Industries Standartization,1980,40p.

3. Z.Markovitch, N.Novozhilova.Processing ofTopological Modei of Object and Selectionof Optimal Diagnostic Parameters.LatvianInf.Fond REAP No.IP 0009,Central Inf.FondGosFAP No.P 006789,1983,77p.

4. Z. Markovitch, J.Osis, N.Novozhilova atall.Diagnostics with GraphModels.Moscow,Transport, 1991,224p.

5. Z.Markovitch,J.Rekners Synthesis ofSystems Modei on the Basis of TopologicalMinimodels. Automatic Control andComputer Sciences,Vol.32,No3,59-66p, 1998

6. Z.Markovitch,I.Markovitcha.Modelling asTool for Therapy Selection. 14th EuropeanSimulation Multiconference ESM 2000,Ghent,Belgium,621-623p.

7. Z.Markovitch, I.Markovitcha J.MakarovsThe Alternative Conception on TherapySelection. Scientific Proceedings of RigaTechnical University. Technologies ofComputer Control, Vol.ll, 19-27 p., Riga,2002.

Social activities Member of Latvian Scientists Association, LatvianProfessors Association,Latvian Automatics NationalOrganization (IFAC)Languages Latvian - Mother Tongue, Russian - good, English -

Fairly

Professor Valery ZagurskyHead of Laboratory of Mixed Signal SystemsInstitute of Electronics and Computer Science, University of Latvia14 Dzerbenes str.Riga, LV-1006LatviaPhone: +371 7 558448Fax: +371 7 555337E-mail: zagursky@edi.lv WWW Home Pages: http://www.lza.lv, http://www.edi.lvHead of Computer Network department at the Riga Technical University , Faculty of Computer Science and Information technology, Ijnstitute of Computer Control, Automation and Computer Technique.1Meza str.Riga, LV-1048Phone: +371 7 089543Fax: +371 7 089552E-mail: zvalery@egle.cs.rtu.lv WWW Home Pages: http:// http://www.cs.rtu.lv/DADI/ind_big.html Interests and skills:· Signal Processing· Information Technology· Testing and Design of the Mixed Circuits and Systems· Integrated Acquisition and Monitoring Systems· Communication Systems and NetworksWork Experience: The laboratory have been working in the field of information technologies based on quasisporadic signal conversion and processing for more than fifteen years. Research and development activities have been carried out in parallel and implemented in a number of instruments and integrated systems. The developed methods and algorithms have been used to create: ASIC for high precision time and frequency measurement, random pulse sequence characteristic's recognition with psec resolution, nsec dead time; a high performance dynamic analyzer for television and optoelectronic images with high resolution when is applied in cancer diagnostics and testing foto patterns; analog-digital subsystem (ADS) for radar signal processing, high speed local communication network for real time heatvision image conversion, transmission and processing, techniques and software tools of an integrated system for measuring and testing of dynamic parameters and characteristics high speed, high resolution ADC IC's; integrated parallel multichannel system for testing of modes of aircraft engines in natural operational environment.Four doctor dissertation have been performed during the research work.All that experience is spreaded also to my personal design, research, technical activities and financial, administrative and resources management.

Languages: Russian, English, Polish, Latvian.Education· Electrical engineer, Riga Technical University, 1965

· Candidate of technical sciences (PhD), Latvian Academy of Sciences, Institute of Electronics (Riga), 1972

· Senior researcher, USSR Academy of Sciences, Institute of Control Problem (Moscow), 1978

· Doctor of technical sciences, Ukrainian Academy of Sciences Institute of Cybernetics (Kiev), 1990

· Doctor Habilitus Computer Sciences, Latvian University (Riga), 1992· Principal researcher, Institute of Electronics and Computer Sciences (Riga), 1989Experience· Technician, Riga Electrotechnical Factory, 1960-1962· Ingineer-electronic, Institute of Electronics & Computer Science, 1965-1968· Junior researcher, Institute of Electronics & Computer Science, 1968-1973· Senior researcher, Institute of Electronics & Computer Science, 1979-1983· Head of laboratory, Institute of Electronics & Computer Science, from 1983· Professor, Institute of Electronics and Computer Science of Latvian University, from

1997· Lector, Riga Technical University,Faculty of Automation & Computer Science, 1979-

1985· Senior lector, Riga Technical University,Faculty of Automation & Computer Science,

1985-1991· Associate professor, Riga Technical University,Faculty of Automation & Computer

Science, 1991-1997· Associate editor, Journal Automatic Control & Computers, 1989-1993· Member of editorial board, Journal Automatic Control & Computers, from 1993· Professor, Riga Technical University, from 1996Honors and Awards· The Latvian government award for junior researches, 1974· The Latvian government award, 1980· Silver and bronzed medals for developments from Commitee of Science and Production

achievements Exibition, 1985 and 1976 (Russia) correspondingly· The Latvian Academy of Sciences President First Award, 1987· Full Member, Baltic Academy of Technological Sciences, 1994· Inclusion in the 1998 edition of International Who's Who of Information Technology

ProfessionalsProfessional Activities and Memberships· Latvian Union of Scientists member, from 1992,· IEEE member, Computer, Instrumentation & Measurement, Communications, Circuits &

Systems Societies, from 1997,· Association for Computing member, from 1997, · Member of Institute of Electronics and Computer Science Council for doctor degree

awarding, from 1991Lectures· V.Zagursky, Design for testability of the mixed system, the European Exhibition/Conf.

CEBIT 95, Hannover 8-15 March,1995.· V.Zagursky, Subsystem for characterization of ADS, SampTA 95, Riga (Jurmala) 19-22

Sept.,1995.

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Courses· Signal Processing and Acquisition Systems, Riga Technical University, 1994· Complex System and Network Architecture, Riga Technical University, 1996Recent/Representative Publications· V.Zagursky, A.Karpov, M.Sirovatkina, Design for testability of analog-digital system

using behavior model, 21-st European Solid State Circuits Conference ESSCIRC'95, 19-22 Sept., 1995, Lille, France.

· V.Zagursky, A.Karpov, A.Guljashko, G.Allen. Analog-digital converters dynamic testing subsystem, ETC, The European Design and Test Conference ED&TC 95, User Forum, Paris, France, March, 1995, pp.245-249.

· A.Gertners, V.Zagursky, D.Saldava, Behaviour model of mixed ADC systems, Kluwer Academic Publishers, Manufactured in Netherlands, Journal of Electronic Testing: Theory and Applications, 1996, No.9, pp.1-9.

· V.Zagursky, Dz.Zibinch, Architecture of High-Throughput Network with Active Transmission Medium, International IEEE Systems Readiness Technology Conference, AUTOTESTCON'97, Anaheim, California, USA, September 22-25, 1997, Proceedings, pp.313-318.

· V.Zagursky, Characterization Techniques for Mixed Signal System, International IEEE Systems Readiness Technology Conference, AUTOTESTCON'97, Anaheim, California, USA, September 22-25, 1997, Proceedings, pp.403-408.

· V.Zagursky, Dz.Zibinch, High-Throughput Communication Network For On-Line Subscriber Testing Station, International IEEE Systems Readiness Technology Conference, AUTOTESTCON'97, Anaheim, California, USA, September 22-25, 1997, Proceedings, pp.342-346

· V.Zagursky, Information Technology for Evaluation Engineering Projects, 6th Annual Conference on Teaching of Computing and Computer Science Education ITiCSE'98, 18-21 August, 1998, Dublin, Ireland, pp.218-121.

· V.Zagursky, Testing Technique for Embedded Analog-Digital Subsystems, 1998 IEEE Asia-Pacific Conference on Circuits and Systems APCCAS'98, 24-17 Novenber, 1998, Chiangmai, Thailand, pp.264-268.

· V. Zagursky, E.Ginters, Speech Signal Recovery in Packet- Switched Communication Networks, 10th Mediterranean Electrotechnical Conference, MEleCon'2000, May 29-31, 2000, Cyprus, Proceeding, pp. 88-92.

· V.Zagursky, A.Gertners, Analog-Digital Systems Descriptions for Signal Processing and Control Application, 10th Mediterranean Electrotechnical Conference, MEleCon'2000, May 29-31, 2000, Cyprus, Proceeding, pp. 112-116.

· V.Zagursky, S.Smirnovs, Coding and On-Line Transmitting System for Medical Researches, 10th Mediterranean Electrotechnical Conference, MEleCon'2000, May 29-31, 2000, Cyprus, Proceeding, pp. 175-179.

· V.Zagursky, Monitoring of Mixed Signal Systems, Second International Conference, Simulation, Gaming, Training and Business Process Reengineering in Operations, September 8-9, 2000, Riga, Latvia, pp. 223-227.

· V.Zagursky, Method for Testing and Characterization of Analog-Digital System, International IEEE Systems Readiness Technology Conference, AUTOTESTCON 2001, Philadelphia, Pensilvania, USA, August 25-29,2001, Proceedings, pp.115-120,

· V.Zagursky, Dz.Zibinch, Micromechanical Measurement Subsystem , International IEEE

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Systems Readiness Technology Conference, AUTOTESTCON 2001, Philadelphia, Pensilvania, USA, August 25-29,2001, Proceedings, pp.271-276,

· V.Zagursky, V.Zorin, Spectral Analysis in Parallel Structures, International IEEE Systems Readiness Technology Conference, AUTOTESTCON 2001, Philadelphia, Pensilvania, USA, August 25-29,2001, Proceedings, pp.284-289,

· A.Eriņš, A. Riekstiņš, V.Zagursky, Self-sinhronized high speed decoding subsystems, 2-nd European Interdisciplinary School o Nonlinear Dynamic for System and Signal Analysis, EUROATTRACTOR 2001, Warshaw,19-28 June,2001, pp.47-52.

· V.Zagursky, I.Zarumba, Probabilistic Method for Characterization of Analog-Digital System, Internatonal Conf. : Probabistic Methods Applied to Power System (PMAPS) 2002, Napoly-Italy, September26-29,2002 Proceedings,pp. 792-796.

· V.Zagursky, N.Semyonova, USSR Author Certificate No.1032431, ADC dynamic error measuring methods, 1987, Int.Cl. H03 M 1/10

· V.Zagursky, G.Gotlib, USSR Author Certificate No.1529453, Device for control dynamic error for ADC, 1989, Int.Cl. H03 M 1/10

· V.Zagursky, G.Gotlib, USSR Author Certificate No.1640832 , Message signals communication device, 1991, Int.Cl. H03 M 1/10

· V.Zagursky, N.Semyonova, USSR Author Certificate No.1631724, ADC dynamic characteristics method and device for it's realization, 1991, Int.Cl. H03 M 1/10

· Altogether 130 publications, 1 monograph, 54 author certificate on inventions.

Research Projects· V.Zagursky (Head of Project), Problems of analog-digital system metrology, Latvian

Council of Science, 1991-1993· V.Zagursky (Head of Project), Creation and investigation whole dynamic testing

methodology of heterogeneous analog-digital systems, Latvian Council of Science, 1994-1996

· V.Zagursky (Principal Researcher), Distributed systems for local monitoring of dynamic objects, Latvian Council of Science, 1994-1996

· V.Zagursky (Head of Project), Creation of information technology for codesign and test high performance analog-digital systems, Latvian Council of Science, 1997-2000

· V Zagursky (Head of Project), Multimēdiju pielietojumu sistēmu ar jauktiem (analogajiem un diskrētajiem) signāliem (JSS) izstrādāšana un testēšana, Latvian Council of Science, 2001-2004

Before 1990 head of more then six projects for creation and development methods and tools in the field of information technology, electronics and networking.

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