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NATIONAL TECHNICAL UNIVERSITY OF ATHENS

School of Electrical and Computer Engineering

Curriculum Guide 2009-2010

Athens 2009

2

1

The cover page is a reproduction from the original work by N. Hatzikiriakos-Gikas specially designed for each School of the National Technical University of Athens.

This curriculum guide has been put together by all staff members of the School of Electrical and Computer Engineering of NTUA. The final version has been edited by Mr. Symeon Papavassiliou (Associate Professor) and by Mrs. Ioanna Roussaki (Lecturer).

Publication of the Curriculum Guide has been carried out by the Printing Unit of NTUA.

TABLE of CONTENTS

1Brief History of N.T.U.A.2

2N.T.U.A. Structure and Administration3

3Historical Perspective of School of Electrical and Computer Engineering4

4School Structure5

5Members of the School Staff8

6Research and laboratories in the School16

7School Curriculum Overview and Principles18

8Thesis Work20

9Courses Marking Scheme - Diploma Marking Scheme21

10Course Program22

11Course Contents35

11.1Main Course Descriptions35

11.1.11st SEMESTER35

11.1.22nd SEMESTER37

11.1.33rd SEMESTER38

11.1.44th SEMESTER40

11.1.55th SEMESTER42

11.2Flow Course Descriptions44

11.2.1Flow Y: Computer Systems44

11.2.2Flow L: Computer Software46

11.2.3Flow H: Electronics, Circuits, Materials49

11.2.4Flow D: Telecommunication Systems and Computer Networks52

11.2.5Flow T: Electromagnetic Waves and Telecommunication56

11.2.6Flow S: Signals, Automatic Control and Robotics60

11.2.7Flow Z: Energy Convertion, High Voltages and Industry Applications63

11.2.8Flow E: Electric Power Systems66

11.2.9Flow O: Management and Decision Support Systems69

11.2.10Flow I: Bioengineering71

11.2.11Flow F: Physics73

11.2.12Flow M: Mathematics75

11.2.13Miscellaneous77

11.2.14Humanistic80

12Alphabetical Course Listing82

1. Brief History of N.T.U.A.

The National Technical University of Athens (N.T.U.A.) is the oldest technical university in Greece.

In its initial form, it was founded as the School of Arts, in the Spring of 1837, almost simultaneously with the modern Greek State, after the liberation of Greece from the Turkish yoke. At that time, it was a technical school, operating on Sundays and holidays, to offer instruction to those desiring to master in building construction.

The first reformation took place in 1840 and the School of Arts switched over to daily operation along with the Sundays counterpart. Studies reached the three years, were enriched with new disciplines and the administration was taken over by the Committee for the Encouragement of National Industry.

A second major change occurred in 1863 with the introduction of theoretical and applied education for managers and technicians in building construction, metals industry, sculpture, painting, ceramics, tanning, soap manufacturing etc. in 1872 the School was transferred from Pireos Street to the Patission Street Complex.

In 1887, the School was promoted to a higher education establishment for Building Construction Engineers, Architects and Mechanical Engineers and its title became School of Industrial Arts.

In 1914, the establishment was given the official title of Ethnicon Metsovion Polytechnion. Ethnicon means National and Metsovion was introduced in the title to honour the establishments great donors and benefactors Nikolaos Stournaris, Eleni Tositsa, Michail Tositsas and Georgios Averof, all from Metsovo, a small town in the region of Epirus. The same title is still in use in Greece but, abroad, the title National Technical University of Athens is used instead in order to avoid possible misconceptions regarding the Institutions academic status. The last radical reformation in the organization and administration of N.T.U.A. took place in 1917, when a special bill gave N.T.U.A. a new structure and established the Schools of Civil, Architecture, Surveying, Mechanical & Electrical and Chemical Engineering.

Today, N.T.U.A.s Schools educate 13,000 students and are located except the School of Architecture on the Zografou Campus, a spacious (910,000m2) and open green site, 6 km from the centre of Athens. It includes buildings of 260,000m2 with fully equipped lecture theaters, laboratories, libraries, a Central Library, a Computer Centre and a Medical Centre. Also, on the campus are a Hall of Residence, restaurants, stationery and bookshop, a gymnasium and playing fields.

1. N.T.U.A. Structure and Administration

The current legal framework for higher education came into effect in 1982. In accordance with this, N.T.U.A. is divided into nine Schools, as follows:

1. School of Civil Engineering

1. School of Mechanical Engineering

1. School of Electrical and Computer Engineering

1. School of Architecture

1. School of Chemical Engineering

1. School of Rural and Surveying Engineering

1. School of Mining and Metallurgical Engineering

1. School of Naval Architecture and Marine Engineering

1. School of Applied Mathematical and Physical Sciences

As prescribed by law, each School is administrated by a General Assembly consisting of the representatives of Teaching and Research Personnel (TRP: Professors, Associate Professors, Assistant Professors and Lecturers), the representatives of the Scientific and Teaching Personnel (STP: Assistants and Research Associates), the representatives of the Administrative and Technical Personnel (ATP) and representatives of the Students. Certain matters of minor importance are handled by an Executive Board.

A special Electorate elects a professor or an associate professor as President of the School and another member of the same rank as Deputy President.

Each School is subdivided into Departments covering scientific areas. Departments are also administered by General Assemblies, which are similar to the Schools Assembly. The Head of a Department, called Director, is elected amongst the members of the General Assembly.

Finally, there may be further subdivisions, in the shape of laboratories, which deal with specific scientific topics. Each laboratory is headed either by a professor or by an associate professor or even by an assistant professor but administratively it belongs to a Department or directly to the School.

N.T.U.A.s general administration is effected by the Senate, which consists of the Presidents of the Schools, one TRP member from each School, representatives of STP, representatives of the Special Research Personnel (SRP), representatives of ATP, the administration staff and the representatives of the students. The Senate is headed by the Rector and two Vice-Rectors, who are professors or associate professors elected by a special electorate comprising all N.T.U.A. staff and students.

1. Historical Perspective of School of Electrical and Computer Engineering

The last radical reform in the organization and administration of Institution, before the Law 1268/82 which reformed University Education in Greece, took place in 1917 with a special law that gave the N.T.U.A. his current form, including the University Faculties of Civil Engineers, Mechanical and Electrical Engineers, Chemical Engineers, Topographers and Architects. Up until 1950, N.T.U.A. was the single educational institution in Greece, authorised to educate engineers. That time it became an Institution of Higher Education and the first technological educational institution of the country. The Institution gradually included in its curriculum the education of Civil Engineers, Mechanical engineers, Electrical Engineers, Agronomists and Topographers Engineers, Chemical Engineers, Architects Engineers, Engineers of Mines and Metallurgists, as well as Naval Mechanical Engineers.

In the School of Mechanical and Electrical Engineers courses are continuously added and new laboratories are created. The "Electric Laboratory", created since 1911, aimed at the control of electricity and gas standards. At the same time, exercises and experimental training were carried out for the students of Faculty. Then, the Laboratory was enriched with machines and instruments and it acquired a more special electrical character: this constituted the basic laboratory from which all the later electrical laboratories sprang. These laboratories are: Electrotechnical, Electric Machines, High Voltage and Electric Measurements, Systems of Electric Energy, Radio and Communication of Long Distances, Electronics and Telecommunications Systems.

The courses offered by the Faculty of Mechanical and Electrical Engineers were mixed and were all mandatory. During the 1960s the need to segregate the two sections began to emerge. The constant technological progress rendered necessary their segregation that took place in 1975. The Faculty of Electrical Engineers in order to meet the technological developments had created two terms of study: the Electronic and the Energy Engineer.

With the application of Law of Frame on the INSTITUTIONS of HIGHER EDUCATION, in 1982, the Faculty of Electrical Engineers was renamed to the Department of Electrical Engineers with three Sectors: Electroscience, Electric Power and Information technology. Since 1984 the terms of study became three, after the addition of the third term, Engineer of Computers and Information technology.

After the presidential decree that was published in May 1991, the Department of Electrical Engineers was renamed to "Department of Electrical and Computer Engineers". With this legislative act the field of Computer Engineers and Information technology, which the Department has been dealing with for years, was formally recognized.

Since 1993 the new program of study, which offers four fields of study, is in gradual implementation. The fields of study are the following:

1. Electronics and Systems

1. Information technology

1. Communications

1. Energy

The existing laboratories have been completely modernised, while new laboratories were also established. All the laboratories are connected via a network that allows their full utilisation.

School Structure

The educational and research activities of the School have been separated into the following 7 Divisions.

Division of Computer Science

Division of Electric Power

Division of Electromagnetics, Electrooptics and Electronic Materials

Division of Industrial Electric Devices and Decision Systems

Division of Communications, Electronics and Information Systems

Division of Transmissions Systems and Material Technologies

Division of Signals, Control and Robotics


The division of Computer Science comprises the scientific areas of Computer Technology and Science. Its disciplines include theoretical computer science, algorithms, systems and applications software, databases, information systems, digital hardware design, computer architecture, human-machine communication and interfaces and intelligent computer systems.

The division offers courses spanning various areas of Computer Science, which includes computer systems, mainly focusing on machine structures, computer organization and design, operating systems, microprocessor systems, multimedia systems and human machine interaction. In addition to this, several other courses are being offered in the area of software, emphasizing on algorithms, computational theory, programming languages and compilers, software for human machine interaction etc. The division enhances its educational curricula offered to students, with several laboratory courses, elaborating on new technologies in Computer Science and Engineering. Its faculty members are doing research and offering lectures in the above scientific areas. Apart from the above, the division is responsible for teaching the introductory level courses to all other Departments in NTUA. By this way, it ensures the high quality of educational material concerning Computer Science, required by the respective curricula from all other engineering disciplines.


The Electric Power Division covers the educational and research activities in the area of electric power engineering. Its scope includes the electrical machines, electric energy systems, high-voltage and photometry, energy analysis and environmental planning and renewable energy sources. The objective of the Division covers mainly courses and laboratory work foreseen by the Electric Power Engineering Curriculum of NTUA including supervision of PhD studies and execution of research programmes in this scientific area.

The Electric Power Division has a flexible organizational structure in order to operate a single unit, maintaining at the same time the autonomy of 4 Laboratories and research teams, which are active in this scientific area. These cover activities in Electrical Machines, High Voltage and Photometry, Electric Energy Systems, and Energy Analysis.


The Division covers the fundamental knowledge of electrical engineering, as well as the immediate technological applications, in three major areas, electromagnetics, electrooptics and electronic materials.

The first area includes: Theory and applications of electromagnetic fields; Wave communications; Wave propagation in free space, in dielectric or conducting media, in anisotropic media, as well as in plasmas; Plasmas and electron beams (thermonuclear plasma, applications in accelerator systems, generation of high-power microwaves, application of ionized media for modulation and regeneration of electromagnetic radiation, laser-plasma interactions); Effects of light, laser and other electromagnetic waves on biological media; Biomedical applications of electromagnetic fields (electric fields, medical ultrasound, lasers)

The second major area includes: Electrooptics, non-linear optics and optical transmission (devices, optical fibers, novel technologies); Optical signal processing. In addition: Biomedical optics; Optical imaging and spectroscopy of biological micro- and nanostructures; Biomedical applications of lasers; Digital imaging; Fluorescence microscopy of bio-nanostructures.

The third major area includes: Structure, properties and applications of electronic and electrooptical materials; Electronic stucture of semiconductor materials; Development and applications of thin films; Development and electrical characterization of nanoelectronics; Optical properties of quantum dots. In addition: Bionanotechnology (membranes and electroporation), and Biomaterials.


The Division coordinates the following fields: electrical measurement systems (classical, analogue electrical measurements, digital measurements, high voltages measurements), electrical installations in Industry and buildings (medium voltage substations, electric motor drive systems, heating, cooling, air-conditioning and lighting installations, grounding, equipment quality testing), power electronics, industrial electronics, control of electric machines and propulsion systems (electric machines, electric drives systems, control techniques for electric drives, computer controlled electric drives, industrial motor control, renewable energy systems control and assessment, small and special electric motors, new materials for electromagnetic devices and electric motors, effect of electromagnetic fields of low frequencies on human beings and on the environment, quality control of electromagnetic devices, applications of electromechanical energy conversion in biological systems, human risk and protection in electric power industry), management and decision systems (project management, information management systems, multi-criteria decision support systems, forecasting methods, management of production and service systems, financial management systems, management games), energy management and environmental policy systems (energy models, energy and environmental planning, energy management).

Division of Communications, Electronics and Information Systems (CEIS)

As its title denotes, the CEIS Division covers the scientific and technological areas of Communications, Electronics and Information Systems.

The area of Communications includes the subjects of acquisition, storage, processing and transmission of information, the source and channel coding, data compression, cryptography, modulation and demodulation and the transmission of analog and digital signals. Circuit and packet switching, communication protocols, routing algorithms, Local and Metropolitan Area Networks (LAN/MAN), Integrated Services Networks (ISDN), broadband networks, computer networks, network programming, intranets and the Internet, mobile and personal communications as well as the performance evaluation, quality and security of systems and networks are included in the topics of this area.

The subjects in Electronics include theory, modeling, analysis and synthesis of electronic materials, components, sensors, circuits and systems. Also interconnections, packaging, testing of analog and digital integrated systems. Computer Aided Design (CAD) tools are also studied with various applications in Signal Processing, Telecommunications, Medical, Industrial and Computational systems.

In Information Systems, applications and services of distributed systems are included. Networked date bases, emulators and simulators of distributed systems, CAD, CAM, CAE tools, fault tolerant systems, multimedia and integrated systems of sound and images. Also information systems for identification, measurements and simulations of real time signals and phenomena are studied. The applications are focused in Electronics, Telecommunications, Computer Networks, Biomedical systems, Geographical Information Systems and Computer Engineering topics.

Division of Transmissions Systems and Material Technologies

The Transmissions Systems and Materials Technologies Division (TRANSMIT) concentrates on transmissions technologies across the frequency spectrum including radio, microwave, satellite, mobile and fiber communications and their applications. The section is responsible for the tuition of the undergraduate and graduate courses offered by the department and research in these areas. TRANSMIT activities also span across the technology spectrum and include theoretical and modeling work on applied electromagnetics, materials design and characterization, device design and demonstration, systems design and integration and finally applications in the use of broadband networks, biomedical technology and medicine.


The Division of Signals, Control and Robotics comprises the scientific areas of signal processing, automatic control, and robotics. Its disciplines include signal processing theory and its main application areas of image and speech-audio processing, control and optimization, circuits and systems theory, intelligent systems, and robotics. Its educational activities cover the basic required courses at the junior and sophomore level in the fields of signals and systems, introduction to automatic control, network theory, digital signal processing, control system design, and introduction to robotics. It also offers senior-level and graduate courses in the areas of computer vision, computer speech, pattern recognition, detection and estimation theory, nonlinear and stochastic control, game theory, optimization, multivariable and multidimensional systems, advanced and intelligent robotics. Its research activities span the above scientific and technological areas as well as their interdisciplinary extensions.

Members of the School Staff

Faculty

Foto Afrati

Professor

Division of Communication, Electronic and Information Engineering

Miltiades Anagnostou

Professor


Dimitrios Askounis

Assistant Professor


Vassilis Assimakopoulos

Professor


John Avaritsiotis

Professor


Hercules Avramopoulos

Professor

Division of Information Transmission Systems and Material Technology

Perikles Bourkas

Professor


George Cambourakis

Assistant Professor


Pantelis Capros

Professor


Christos Capsalis

Professor


George Carayannis

Professor


Fillipos Constantinou

Professor


Panagiotis Cottis

Professor


Konstantinos Dervos

Professor


Evangelos Dialinas

Professor


George Economakos

Lecturer


George Fikioris

Assistant Professor


Dimitris Fotakis

Lecturer


Panayiotis Frangos

Professor


Polyxeni Giannopoulou

Assistant Professor


Elias Glytsis

Professor


Nikolaos Hatziargyriou

Professor


Kyriakos Hizanidis

Professor


Maria Ioannides

Professor


Dimitra Kaklamani

Professor


John Kanellopoulos

Professor


Constantinos Karagiannopoulos

Professor


Stavroula Kavatza

Lecturer


Eleftherios Kayafas

Professor


Antonios Kladas

Professor


George Koletsos

Associate Professor


Stefanos Kollias

Professor


Kostas Kontogiannis

Associate Professor


George Korres

Associate Professor


Elias Koukoutsis

Assistant Professor


Tryfon Koussiouris

Professor


Dimitrios Koutsouris

Professor


Nectarios Koziris

Associate Professor


Vassilis Loumos

Professor


Apostolos Machias

Professor


Vassilis Maglaris

Professor


Yanis Maistros

Assistant Professor


Stefanos Manias

Professor


Petros Maragos

Professor


Nicholas Maratos

Professor


George Matsopoulos

Assistant Professor


Gregoris Mentzas

Professor


Nikolas Mitrou

Professor


Konstantina Nikita

Professor


Aris Pagourtzis

Lecturer


Athanasios D. Panagopoulos

Lecturer


Christos Papageorgiou

Associate Professor


George Papakonstantinou

Professor


Yannis Papananos

Professor


Konstantinos Papaodyssefs

Associate Professor


Nikolaos Papaspyrou

Assistant Professor


Stavros Papathanassiou

Assistant Professor


George Papavasilopoulos

Professor


Symeon Papavassiliou

Associate Professor


Kiamal Pekmestzi

Professor


Kostas Politopoulos

Lecturer


Ioannis Pountourakis

Professor


John Psarras

Professor


John Roumeliotis

Professor


Ioanna Roussaki

Lecturer


Kostis Sagonas

Associate Professor


Timos Sellis

Professor


Dimitrios Soudris

Assistant Professor


Kyriakos Spyropoulos

Associate Professor


Andreas-Georgios Stafylopatis

Professor


Giorgos Stamou

Lecturer


George Stassinopoulos

Professor


Ioannis Stathopulos

Professor


Efstathios Sykas

Professor


Nikolaos Theodorou

Professor


Michael Theologou

Professor


Frangiskos Topalis

Professor


John Tsalamengas

Professor


Dimitrios Tsamakis

Professor


Panayiotis Tsanakas

Professor


Panagiotis Tsaramparis

Lecturer


Costas Tzafestas

Assistant Professor


Nikolaos Uzunoglou

Professor


Theodora Varvarigou

Professor


Yannis Vassiliou

Professor


Iakovos Venieris

Professor


John Vomvoridis

Professor


Constantine Vournas

Professor


John P Xanthakis

Professor


Dido Yova

Professor


Stathis Zachos

Professor


School Administration

Head

Prof. Dimitrios Tsamakis

Deputy Head

Prof. Yannis Vassiliou

Division Directors

Prof. Elias Glytsis (Division of Electromagnetics, Electrooptics and Electronic Materials)

Prof. Konstantina Nikita (Division of Information Transmission Systems and Material Technology)

Prof. Petros Maragos (Division of Signals, Control and Robotics)

Prof. Stefanos Kollias (Division of Computer Science)

Prof. Miltiades Anagnostou (Division of Communication, Electronic and Information Engineering)

Prof. Antonios Kladas (Division of Electric Power)

Prof. Constantinos Karagiannopoulos (Division of Industrial Electric Devices and Decision Systems)

The Secretary of the Faculty

Secretary: A. Manavi

Deputy Secretary: A. Mourelatou

The secretary of the faculty is located at the ground floor of the Electrical and Computer Engineers building and is open for the public daily from 11.00 to 13.00. You can also contact by phone: (+ 30) (210) 772-3993 or send a fax: (+ 30) (10) 772-3991.

The postal address of the School is:

National Technical University of Athens

School of Electrical and Computer Engineers

9, Iroon Polytechniou str.

Athens, Post Code 157 73

Research and laboratories in the School

The science of the contemporary Electrical and Computer Engineer requires studies that combine a robust theoretical background of knowledge with the continuous laboratorial exercise in new technologies. The School allocates a large number of laboratories and research teams which support with the most modern way the educational activities of students of the School. In these laboratories are realised a number of graduate and postgraduate courses addressing all the modern sectors of the science of the Electrical and Computer Engineer. All the laboratories allocate modern, specialised equipment and high-level scientific and technical personnel in sectors of Information technology, Telecommunications and Energy. Thus there are created, the more favourable conditions for teaching of new technologies, since the program of studies is supported and supplemented in practice with the best possible way. Moreover, there are developed many research and developmental activities in new technologies of peak, bringing closer the students with the latest developments of the contemporary science of Electrical and Computer Engineer. The School has a long-lasting tradition to research results with worldwide impact and many distinctions, grace to the high scientific level of its researchers and its laboratories.

Aiming at the promotion of research and development of new technologies, the School founded the academic research Institute of Computer and Communication Systems (ICCS). The ICCS is closely connected with the School of Electrical and Computer Engineering. It continuously supports the operation of laboratories and strengthens their infrastructure. The activities of the Institute supplement the research that is realised in the laboratorial units of the School, which contribute to the improvement of the undergraduate and postgraduate studies.

The School allocates an extensive network of computers providing advanced telematic services in the entire spectrum of its educational and research activities. Teaching of courses and realisation of lectures is supported by rooms of tele training with the most modern supervisory means of teaching.

The laboratories of the School are supported by a number of investment programs as in the past from the Integrated Mediterranean Program for Information technology (IMP - Computer science), the program of Public Investments, the Special Programs of Development from the Ministry of Education (SPD), as well as various other sources.

The educational laboratories, the research laboratories and the research teams of the School of Electrical and Computer Engineering of N.T.U.A. offer more than 40 laboratorial courses, covering more than forty-five thousands lab-hours (in total) in all the semesters of the undergaduate program of studies (elements are taken from academic year 2000-2001). These courses include (at least) one weekly laboratorial exercise, in short member teams. They are realised in multiple laboratorial shifts for all the students of the course. Moreover except the laboratorial courses, there exist courses with weekly theoretical teaching and big half-yearly laboratorial exercises, applying in practice the theory presented at the lecture teaching.

There exist more than 45 educational and research laboratories as well as research teams that function in the School. The educational and research activities of each laboratory are summarized in their names that are mentioned in the sequence. Moreover there exist a number of laboratories that support general activities in the Department, such as many introductive courses (trunk courses), distance learning services, advanced internet services for the Department etc.

By the side of School, is overwhelmed every effort so that the laboratories are strengthened continuously, in human and material resources, enriching the educational activities and giving accent in new technologies of peak.

List of Official Laboratories

Applied Biophysics

Biomedical Engineering

Computer Networks

Control Systems

Decision Support Systems

Digital Signal Processing and Image Processing

Digital Systems and Computers

Electric Energy Systems

Electric Machines and Power Electronics

Electron Beam, Plasma and Nonlinear Optics

Electronic Materials and Nanoelectronic Structures

Electronics

High Voltages and Electrical Measurement Techniques

Intelligent Robotics and Control

Knowledge and DataBase Systems

Media and Communication

Microcomputer and Digital Systems

Microelectronics and Electronic Sensors

Microwave and Fiber Optics Telecommunications

Mobile Radiocommunications

NETwork Management and Optimal DEsign (NETMODE)

Software Engineering

Telecommunications

Wireless Telecommunications

Please visit the school web page at: www.ece.ntua.gr

School Curriculum Overview and Principles

Overview of the Program for Undergraduate Studies

The role of the Electrical and Computer Engineer, in modern society, is becoming more and more important. The Electrical Engineer faces the challenge to participate actively in technological developments, by designing, developing, applying and managing continuously new technologies.

The basic condition for the alumnus of our Faculty in order to cope with the developments of technology is to acquire during his/her studies a suitable background of basic knowledge from all the subjects of work of the Electrical and Computer Engineer. At the same time, the wide spectrum of cognitive fields that covers the subject of Electrical and Computer Engineer does not allow the in depth study of all of those fields.

The above information is reflected in the philosophy of the Program for Undergraduate Studies of the Faculty. The curriculum covers 10 semesters (5 years). In the first five semesters the student attends courses that build the essential background and introduce him/her to the basic knowledge of all cognitive subjects of Electrical and Computer Engineer. In the next four semesters, the student is given the possibility to attend courses that deal with the in-depth knowledge of cognitive regions that interest him/her more. Thus, the student shapes his own profile of Electrical and Computer Engineer, maintaining, however, the ability to meet the requirements that arise from the cohesive character of the diploma. Finally, the last semester is dedicated in the development of a project and compiling his/her diploma thesis on this project.

The Faculty, makes a constant effort in order to ensure that the program of study is continually improved and renewed, enriching it with new courses which deal with peak technologies.

Structure of the Undergraduate Program of Study

The Undergraduate Program of Study of the School consists of two parts. The first part includes 5 semesters with basic courses, which are common for all students and ensure the essential background knowledge. After the mandatory courses, in the next 4 semesters, the students select courses from 10 course-flows depending on the direction they will chose to follow.

Directions

The 4 directions of specialisation of the Faculty of Electrical and Computer Engineering of EMP are the following:

1. ELECTRONICS AND SYSTEMS: It concerns analogue and digital electronic circuits, automatic control, image processing and robotics.

2. INFORMATION TECHNOLOGY: It concerns Computers (hardware and software) and information processing.

3. COMMUNICATIONS: It includes telecommunications and computer networks.

4. ENERGY: It concerns production, transport, distribution and utilisation of electric energy.

The students of the School follow the system of course-flows, which allows a wide spectrum of choice of specialisations. However, given the fact that the School grants a single title of study, all the students are compelled to acquire a minimal core of knowledge in all the major cognitive fields of the department, during the first five common semesters. Then, from the 6th to the 9th semester, the program of study is structured into flows of specialisation. Combinations of flows can be selected by the students so that they concentrate more in the subjects of their interest. The completion of undergraduate studies is achieved by performing work and submitting a diploma thesis during the 10th semester in a course of their choice under the supervision of the Professor teaching the course.

Flows

The flows of specialisation of the Undergraduate Program of Study are:

Flow Y: Computer Systems Flow Y is addressed to students that wish to deepen their knowledge in the region of computer systems. The courses offered cover the structure and the operation of computer systems, as well as technologies of systems interconnection and human computer interaction.

Flow L: Computer Software Flow L offers to students the possibility to deepen their knowledge in Software systems and applications (eg programming languages, compilers, data bases), and in Theoretical Information technology (algorithms and complexity, etc).

Flow H: Electronics - Circuits - Materials This flow concerns the field of electronics and microelectronics. The courses offered cover the design of analogue, digital and mixed analogue/digital discrete as well as integrated circuits. Strong emphasis is given in the laboratory courses, so that the student acquires experience and faculty in the designing and manufacturing of electronic layouts and circuits.

Flow D: Communications and Computer Networks Flow D is targeted to students that wish to deepen their knowledge in the field of telecommunication networks and their applications. The courses offered cover the entire spectrum of telecommunication systems, techniques of transmission (analogue and digital), the telecommunication networks, protocols of communication and telecommunication services and applications.

Flow T: Waves and Telecommunications This flow includes courses that provide knowledge for engineers that will be occupied with the wider subjects of Electronic Systems and Communications (Wireless and Wired Communications, Satellite Communications, Mobile Communications, Optical and Microwave Communications), as well as the corresponding cognitive background in the field of Electromagnetism and Transmission.

Flow S: Signals, Control and Robotics Flow S is targeted to students who want to be educated in the fields of systems, signals, automatic control and robotics. It includes courses, which cover the aforementioned fields and also expand to industrial and other applications.

Flow Z: Electric Machines, High Voltages and Industrial Layouts Courses of flow Z, cover the theory and applications of the field of electric machines, high voltages and electromechanical industrial layouts.

Flow E: Systems of Electric Energy Flow E is targeted to students who wish to deepen their knowledge in the field of electric energy systems and generally in subjects related to the exploitation, management and saving of every form of energy.

Flow O: Administration and Decision The objective of flow O is to offer the essential knowledge of administration and decision making to students of all directions wishing to combine it with the knowledge of technological innovations.

Flow I: Biomedical Flow I is addressed to students of all directions who want to combine the science of Electrical and Computer Engineer, with biosciences, medicine and corresponding technologies.

The program of study allows the acquisition of a single Diploma of Electrical and Computer Engineer after the successful completion of 59 courses, 34 of which are Common Core Courses and the rest 25 are within directions and flows.

Thesis Work

The last semester thesis work (Diploma Thesis) is an extended work (analytical or design work or based on an application), which is essential for the students in order to obtain their diploma of an NTUA Engineer. This thesis work gives the students the opportunity to integrate their knowledge and to present their ability to carry out research on a topic of their specialty.

The thesis work is carried out exclusively during the 10th semester, when the student does not attend any course work. During the 9th semester the student applies to the Secretariat of the Department and selects the course within which the thesis is to be carried out under the supervision of the professor who taught it or taught a course nearest the subject matter.

The text of the thesis must include, apart from the detailed development of the subject matter, the following:

Synopsis (150-200 words) and Extended Abstract (300-500 words) in Greek and another foreign language (preferably English)

Table of Contents

Bibliography

After the completion of writing of the thesis work, the student is subjected to an oral public examination of a minimum of 30 minutes duration, by a three-member examining committee. This committee is proposed by the General Assembly of the Section and confirmed by the General Assembly of the School or by the executive council of the School, if it has been so authorized. This can only be done after the student has passed successfully all the courses as mentioned in the curriculum, and after the thesis has been accepted by the supervising professor. The final submission of the thesis has to be within the deadlines set by the Academic Calendar and certainly no less than 10 days before the date set for the oral examination. The thesis is submitted first to the Secretariat of the Section in 3 copies, which are distributed directly to the 3 members of the examining committee. The final approved copy remains with the supervisor, while 2 other copies must be submitted, one to be kept at the Section Library and the other to be kept at the Central Library of NTUA. These copies are available for borrowing by anyone interested.

The main criteria of thesis evaluation are given below, while the weighting factors for each one of them may vary, according to the nature of the subject, and are assessed by the examining committee:

1. The level of up-to-date references in the bibliography.

2. The acquisition of specialized data (through lab experiments or field data or results by theoretical calculations).

3. The logical sequence (e.g., processing of collected data, formulation of mathematical modeling, computer simulations, case studies, discussion of results).

4. The thesis structure and its written presentation, e.g. text flow, correct use of terminology and language, precise presentation of concepts, scientifically correct deductions and conclusions, etc.

5. Its originality.

6. The students zeal and initiatives.

7. The oral presentation of the thesis.

The final mark of the thesis is calculated as the average of the marks of the 3 examiners, rounded to the closest integer or half unit of an integer.

Courses Marking Scheme - Diploma Marking Scheme

Marking in all courses is done by the 0-10 scale, without using fractions of an integer, and using as a basis for passing the mark 5. Thesis marking is an exception, since it is allowed to use half a mark (0.5), and the basis for passing is the mark 5.5. The overall mark for the diploma is calculated by summing the following:

a)the arithmetic average of all course marks taken by the student during his studies, with a weighted coefficient of four fifths (4/5), and

b)the thesis mark, with a weighted average of one fifth (1/5).

The total quality of the student is assessed according to the following scale:

Excellent9 to 10

Very Good7 to 8,99

Good5,5 to 6,99

Satisfactory5 to 5,49

Badbelow 5

Course Program

ACADEMIC YEAR 2009-2010

MAIN COURSES (1st - 5th SEMESTER)

1st SEMESTER

Code

Course

Lecture Hours

Lab Hours

Mandatory

3.4.01.1

Computer Programming

3

2

3.7.01.1

Electrical Design

4

0

9.2.04.1

Linear Algebra

5

0

9.2.32.1

Real Analysis I-Functions of one Variable

6

0

9.4.31.1

Physics I (Mechanics)

5

0

Mandatory by selection

9.1.21.1

Sociology of Science and Technology

2

0

9.1.41.1

Philosophy

2

0

9.1.51.1

History of Scientific and Philosophical Ideas

2

0


English language

2

0

French language

2

0

German language

2

0

Italian language

2

0

Elective

Historic Musicology and Theory of Music

2

0

2nd SEMESTER

Code

Course

Lecture Hours

Lab Hours

Mandatory

3.2.02.2

Introduction to Materials

3

1

3.3.01.2

Introduction to Electrical Circuits

5

0

3.4.03.2

Programming Techniques

3

2

3.5.01.2

Logic Design of Digital Systems

4

0

9.1.31.2

Political Economy

3

0

9.2.33.2

Mathematical Analysis (Functions of several variables, Vector Analysis)

6

0

9.4.32.2

Physics II (Electromagnetism)

4

1


English language

2

0

French language

2

0

German language

2

0

Italian language

2

0

3rd SEMESTER

Code

Course

Lecture Hours

Lab Hours

Mandatory

3.1.03.3

Electronic Materials

3

1

3.7.02.3

Electric Measurements I

2

2

9.2.34.3

Ordinary Differential Equations

5

0

9.2.49.3

Numerical Analysis

4

0

9.2.71.3

Probability Theory and Statistics

5

0

9.3.01.3

Mechanics - Kinematics and Dynamics of Rigid Bodies

4

0

9.4.33.3

Physics III (Wave and Quantum Physics)

4

1


English language

2

0

French language

2

0

German language

2

0

Italian language

2

0

4th SEMESTER

Code

Course

Lecture Hours

Lab Hours

Mandatory

3.1.05.4

Electromagnetic Fields A

4

0

3.2.04.4

Introduction to Telecommunications

1

3

3.3.04.4

Signals and Systems

4

0

3.4.08.4

Introduction to Computer Science

4

0

3.5.05.4

Electronics I

4

0

9.2.35.4

Partial Differential Equations

5

0


3.4.07.4

Discrete Mathematics

4

0

3.6.04.4

Reliability and Quality Control of Engineering Systems

3

1

3.7.03.4

Electric Measurements II

2

2

9.4.34.4

Physics IV (The structure of Matter)

4

0


English language

2

0

French language

2

0

German language

2

0

Italian language

2

0

5th SEMESTER

Code

Course

Lecture Hours

Lab Hours

Mandatory

3.1.06.5

Electromagnetic Fields B

4

0

3.3.07.5

Advanced Circuit Theory

4

0

3.3.10.5

Control Systems: Introduction

4

0

3.4.09.5

Computer Architecture

4

0

3.5.08.5

Laboratory and Industrial Electronics

2

2

3.5.11.5

Stochastic Systems and Communications

4

0

3.6.05.5

Introduction to Electric Energy Systems

4

1

FLOW COURSES

Flow Y: Computer Systems

Code

Course

Category

Lecture Hours

Lab Hours

6th Semester

3.4.23.6

Microprocessors Systems

Mandatory (half flow)

3

1

3.5.13.6

Digital Systems Laboratory


1

2

7th Semester

3.4.22.7

Operating Systems


2

2

3.4.34.7

Microprocessors Laboratory

Mandatory (main flow)

0

3

3.4.51.7

Image and Video Analysis and Technology


2

2

3.5.24.7

Multimedia Technology


1

2

8th Semester

3.4.35.8

Operating Systems Laboratory


0

3

3.4.36.8

Computer System Performance


3

0

3.4.37.8

Advanced Computer Architecture


3

0

3.4.38.8

Digital VLSI Systems


1

2

3.4.39.8

Human-Machine Interaction


3

0

9th Semester

3.4.53.9

Parallel Processing Systems


1

2

3.4.55.9

Neural Networks and Intelligent Systems


3

1

3.4.54.9


2

1

Flow L: Computer Software

Code

Course

Category

Lecture Hours

Lab Hours

6th Semester

3.4.14.6

Programming Languages I


4

0

3.4.15.6

Computer Graphics


2

2

7th Semester

3.4.25.7

Algorithms and Complexity


3

1

3.4.26.7

Databases


4

0

3.4.27.7

Artificial Intelligence


3

0

8th Semester

3.4.39.8

Theory of Computation


3

0

3.4.40.8

Compilers


2

2

3.4.41.8

Knowledge Systems and Technologies


3

0

3.4.42.8

Computability and Complexity


3

0

3.5.43.8

Internet Programming


3

0

9th Semester

3.4.56.9

Software Engineering


2

2

3.4.57.9

Advanced Topics in Database Systems


3

0

3.4.58.9

Programming Languages II


3

0

3.4.59.9

Analysis and Design of Information Systems


3

0

Flow H: Electronics, Circuits, Materials

Code

Course

Category

Lecture Hours

Lab Hours

6th Semester

3.1.10.6

Semiconductor Devices


2

1

3.3.08.6

Analog Circuit Synthesis


3

0

3.3.09.6

Linear Circuit Design


3

0

3.5.16.6

Electronics II


2

1

7th Semester

3.5.28.7

Electronics III


2

1

3.5.29.7

Introduction to VLSI Design


2

2

3.5.61.7

Microelectronics: Fabrication of Integrated Circuits


2

1

3.5.62.7

Electronic Packaging Techniques


2

2

8th Semester

3.1.21.8

High-Technology Materials and Devices


3

0

3.5.44.8

Design of Analog Electronic systems


1

3

3.5.46.8

Design of Analog Microelectronic Circuits


4

0

3.5.47.8

Sensors and Microsystems Technology


2

2

9th Semester

3.2.31.9

Photovoltaics, Physics, Technology and Applications


3

1

3.2.60.9

Telecommunication Electronics


2

1

Flow D: Telecommunication Systems and Computer Networks

Code

Course

Category

Lecture Hours

Lab Hours

6th Semester

3.5.17.6

Analog and Digital Communication Systems


4

0

3.5.18.6

Communication Networks


2

2

3.5.19.6

Queuing Systems


3

0

7th Semester

3.5.30.7

Computer Networks


2

2

3.5.31.7

Digital Communications


3

0

8th Semester

3.5.48.8

Service and Protocol Design with Formal Methods


2

1

3.5.49.8

Digital Television and Multimedia Communications


2

1

3.5.50.8

Mobile and Personal Communication Networks


3

0

3.5.63.8

Internet Applications


2

2

3.5.67.8

Telecommunication Systems Simulation


0

3

9th Semester

3.5.32.9

Broadband Networks


3

0

3.5.64.9

Telephony


4

0

3.5.65.9

Network Management Intelligent Networks


3

1

3.5.66.9

Information Theory


3

0

Flow T: Electromagnetic Waves and Telecommunication

Code

Course

Category

Lecture Hours

Lab Hours

6th Semester

3.1.13.6

Applied and Computational Electromagnetics


4

0

3.1.99.6

Optical Science and Engineering


4

0

3.2.11.6

Modulation and Transmission Systems


4

0

3.2.12.6

Microwave


3

2

7th Semester

3.1.16.7

Special Topics on Electromagnetics


3

0

3.1.17.7

Propagation of electromagnetic waves in plasmas


4

0

3.2.15.7

Antennas


3

2

3.2.37.7

Photonic Technology in Telecommunications


3

0

8th Semester

3.1.24.8

Microwave Elements and Sources


3

0

3.2.22.8

Wireless Links and Propagation


4

2

3.2.23.8

Fiber Optics Telecommunications


3

0

3.2.25.8

Computational Techniques for Information Transmission Systems


2

1

9th Semester

3.1.33.9

Special Topics on Microwaves and Radiation


3

0

3.2.34.9

Radar Systems and Remote Sensing


3

0

3.2.35.9

Satellite Communications


3

0

3.2.36.9

Mobile Communications Systems


3

0

Flow S: Signals, Automatic Control and Robotics

Code

Course

Category

Lecture Hours

Lab Hours

6th Semester

3.3.20.6

Control Systems Design


4

1

3.3.21.6

Digital Signal Processing


4

0

7th Semester

3.3.32.7

Advanced Methods for Control Systems


3

2

3.3.33.7

Robotics I: Analysis - Control - Laboratory


3

2

8th Semester

3.3.25.8

Optimization Techniques and Control Applications


4

0

3.3.26.8

Multivariable Control System Design


3

0

3.3.28.8

Computer Vision


3

1

3.3.42.8

Multidimensional Systems


3

0

3.3.52.8

Nonlinear systems for Control Applications


3

0

3.3.53.8

Robotics II: Intelligent Robotic Systems


3

0

9th Semester

3.3.67.9

Stochastic Control


2

2

3.3.68.9

Optimal Control and Applications


3

0

3.3.69.9

Neuro-Fuzzy Industrial and Robot Control


3

1

3.3.70.9

Pattern Recognition with Emphasis on Speech Recognition


4

0

Flow Z: Energy Conversion, High Voltages and Industry Applications

Code

Course

Category

Lecture Hours

Lab Hours

6th Semester

3.6.06.6

Electrical Machines I


3

2

3.6.07.6

Lighting Technology


2

2

3.6.14.6

Power Electronics I


3

2

7th Semester

3.2.25.7

Electrical Insulating Materials


2

1

3.6.12.7

Generation of High Voltages


4

1

3.6.13.7

Electrical Machines II


3

3

3.6.24.7

Power Electronics II


3

2

8th Semester

3.6.20.8

Measurements and Applications of High Voltages


4

1

3.6.23.8

Transient Performance of Electrical Machines


2

1

3.7.21.8

Electromagnetic Propulsion and Levitation


3

0

3.7.22.8

Electromechanical Installations in Industry and Buildings


4

0

3.7.33.8

Control of Electric Drives


3

1

9th Semester

3.6.34.9

Protection of Electrical Installations Against Overvoltages


3

0

3.6.35.9

Design-Construction of Electrical Machines


2

1

Flow E: Electric Power Systems

Code

Course

Category

Lecture Hours

Lab Hours

6th Semester

3.6.08.6

Economic Analysis of Power Systems


4

0

3.6.09.6

Electric Power Generation


4

0

7th Semester

3.6.15.7

Power System Analysis (Steady State)


3

1

3.6.16.7

Flexible AC Transmission Systems


3

0

8th Semester

3.6.26.8

System Analysis (Asymmetrical and Transient State)


3

1

3.6.27.8

Electricity Distribution Networks


3

1

3.6.29.8

Energy Economics


3

0

3.6.30.8

Energy Control Centers


3

1

3.6.45.8

Supervision and Management of Energy Systems


3

1

9th Semester

3.6.28.9

Reliability Analysis of Electric Power Systems


3

1

3.6.36.9

Power System Control and Stability


2

1

3.6.37.9

Power System Protection


3

0

3.6.38.9

Renewable Energy Sources


2

1

3.7.39.9

Energy Management and Environmental Policy


2

2

Flow O: Management and Decision Support Systems

Code

Course

Category

Lecture Hours

Lab Hours

6th Semester

3.6.10.6

Business Microeconomics


3

0

3.7.11.6

Management and Management Information Systems


2

1

7th Semester

3.6.18.7

Mathematical Programming Models


4

0

3.7.17.7

Decision Support Systems


2

1

3.7.19.7

Production and Operations Management


3

0

8th Semester

3.7.31.8

Forecasting Techniques


3

0

3.7.32.8

Financial Management Systems


2

1

9th Semester

3.7.40.9

Project Management


2

2

3.7.41.9

Management Game


0

3

Flow I: Bioengineering

Code

Course

Category

Lecture Hours

Lab Hours

6th Semester

3.1.14.6

Introduction to Bioengineering and Applied Biophysics


2

2

7th Semester

3.1.18.7

Principles of Biomedical Instrumentation


3

0

3.1.19.7

Measurements and Controls in Biomedical Engineering


1

3

3.2.19.7

Introduction to Biomedical Engineering, Biological Signal Analysis and Processing


3

0

8th Semester

3.2.29.8

Medical Imaging and Digital Image Processing


3

0

3.2.30.8

Biomedical Technology Laboratory


1

3

9th Semester

3.2.39.9

Physiological Systems Modeling, Simulation and Control


2

1

3.7.38.9

Installation, Administration and Quality Control of Medical and Hospital Systems


4

0

Flow F: Physics

Code

Course

Category

Lecture Hours

Lab Hours

7th Semester

9.4.91.7

Solid State Physics


4

0

9.4.92.7

Thermodynamics and Statistical Physics


4

0

9.4.93.7

Optoelectronics


2

2

9.4.94.7

Quantum Mechanics II


4

0

9.4.95.7

Atomic and Nuclear Physics


2

2

8th Semester

9.4.96.8

Special Chapters on Solid State Physics


3

1

9.4.97.8

Physics and Technology of Lasers


3

1

9th Semester

9.4.98.9

Physics of Dielectrics


3

1

Flow M: Mathematics

Code

Course

Category

Lecture Hours

Lab Hours

6th Semester

9.2.51.6

Arithmetic Methods of Differential Equations


4

0

9.2.52.6

Mathematical Logic for Computer Science


4

0

7th Semester

9.2.53.7

Applied Mathematics-Calculus of Variations


4

0

9.2.55.7

Real and Harmonic Analysis


4

0

8th Semester

9.2.54.8

Graph Theory


4

0

9.2.56.8

Advanced Issues on Probabilities and Statistics (taught with the Time Series Analysis course of the Sch. AMPS)


4

0

9.2.57.8

Applications of Logic in Computer Science


4

0

9th Semester

3.4.71.9

Elements of Number Theory and Applications to Cryptography


4

0

Miscellaneous

Code

Course

Category

Lecture Hours

Lab Hours

6th Semester

9.3.02.6

Technical Mechanics I


4

0

9.4.81.6

Ionizing Radiation Physics and Applications to the Medicine and Biology


3

1

21.0.1.3

Technological Economics


4

0

22.0.1.4

Introduction to technical thermodynamics


4

0

7th Semester

5.1.21.7

Corrosion and Protection of Metals


2

2

9.3.04.7

Analytical Mechanics


3

0

8th Semester

3.1.30.8

Physics and technology of the controlled thermonuclear fusion


3

0

3.2.28.8

Transmission Systems and Fiber-optic Networks


2

1

3.2.38.8

Electromagnetic Compatibility


3

0

3.6.69.8

Environment and Development


3

0

3.7.25.8

Managing the Digital Enterprise


3

1

9.3.03.8

Technical Mechanics II


4

0

9th Semester

3.5.47.9

Optical Fiber Communication Networks


3

0

3.7.43.9

Special Electric Motors


2

2

3.7.44.9

Quality Control of Industrial Installations' Equipment and Materials


2

1

9.1.11.9

Elements of Law and Technical Legislation


4

0

Humanistic

Code

Course

Category

Lecture Hours

Lab Hours

8th Semester

9.1.23.8

Special Topics in Sociology


2

0

9.1.45.8

Special Topics in Philosophy


2

0

9.1. 65.8

Information technologies and society


2

0

Course Contents

Main Course Descriptions

1st SEMESTER

(9.2.32.1) Real Analysis I-Functions of one Variable

Mandatory: 6-0

The real number system. Point set theory. Real sequences. Infinite series. The limit concept and continuity. Differentiation. Properties of differentiable functions. Taylor's theorem. Indefinite integrals. The Riemann integral. Geometrical and physical applications of integration. Convergence of improper integrals. First-order differential equations. Linear differential equations of second order with constant coefficients.

(9.2.04.1) Linear Algebra

Mandatory: 5-0

Vector Calculus. The straight line. The plane. Curves and surfaces. Cylindrical and conical surfaces. Surfaces of revolution. Quadratic surfaces. Drawing of curves and surfaces. Vector spaces, subspaces, bases, dimension of vector spaces. Determinants. Linear mappings, matrices and linear mappings, change of basis, similar matrices, canonical form of matrices. Inner product vector spaces, orthonormal bases, orthogonal complement. Self-adjoint, isometric, orthogonal and unitary transformations. Linear systems, rank of a matrix, elementary transformations, solution of linear systems. Eigenvalues and eigenvectors of linear transformations and matrices. Diagonalization of matrices. Cayley-Hamilton theorem and applications. Minimal polynomial. Eigenvalues and eigenvectors of special matrices. Quadratic forms and their applications. Use of special mathematical software in problems of linear algebra and analytic geometry.

(9.4.31.1) Physics I (Mechanics)

Mandatory: 5-0

The laws of Physics, in terms of differential and vector calculus. Kinematics in one dimension. Kinematics in two and three dimensions. Newton Laws. Equation of motion. Momentum, conservation of momentum. The Galilei transformation. Inertial and Non-Inertial frames (systems of Reference). Work, kinetic and potential energy. Conservative forces. Conservation of Energy. Conservation Principles and Symmetry. Collisions. Center of mass. The dynamics of systems with variable mass. Angular momentum. Torque of a Force. Center of gravity. Conservation of angular momentum. Dynamics of the rigid body. Moment of inertia. Gravity. Central Forces, Kepler's laws. Vibrations. Simple harmonic oscillator. Damped and Forced oscillator. Resonance. Special theory of Relativity. Einstein's postulates, Lorentz transformations, Photons, Doppler effect. Collisions and applications on the elementary particles. Compton effect. Principle of Equivalence.

(3.4.01.1) Computer Programming

Mandatory: 3-2

Introduction to Computer Science. Algorithms and Data Structures, programs, programming languages. Pascal. Specification, design, coding, verification, documentation and maintenance of programs. Basic data structures, control structures, procedures, recursion, parameter passing.

(3.7.01.1) Electrical design

Mandatory: 4-0

Introduction to mechanical design. Regulations. Designing mechanical components. Methods, views, sections, dimensions, bolts, nuts, threads, applications. Electrical designing. General meanings and knowledge. Regulations. Conductors, cables, tubes, interior electrical installations (IEI) switch boards. IEI switches - fuses themes , classification, usage, calculations, designing. IEI studies, calculations-design. Methods, IEI circuits, house IEI, calculations, study. Electrical machines. Transformers. Electric power conveyance and distribution systems. Rectifiers. DC and AC motor circuits. Transformer and sub-station circuits. Rectifier circuits.

(9.1.51.1) History of Scientific and Philosophical Ideas

Mandatory by selection: 2-0

The course tries to bring together three different strands in the history of scientific and philosophical ideas. The strand of mathematics, starting from Euclid and terminating in Hilbert, the strand of physics, starting from the Aristotelean conception of motion, passing from the Scientific Revolution of the 17th century and ending in the theory of relativity and quantum mechanics, and the strand of philosophy proper, starting from the presocratics, passing through Plato and Aristotle, and then Descartes, Locke and Hume to arrive to Kant as well as the philosophical approaches presently at work. The aim of the course is to offer an overview of the interibrication of scientific and philosophical ideas in a way and at a level that would interest beginning engineering students.

(9.1.21.1) Sociology of Science and Technology


The study of science as a social institution and practice. Science in the laboratory, social relationships in science practice, gender politics of science. What is science from a sociological and anthropological point of view. Ethnomethodology of science and social constructivism of scientific knowledge.

(9.1.41.1) Philosophy


The course consists in an overview of major themes in western philosophy (especially, in metaphysics and epistemology) such as: appearance and reality, being and becoming, mind and matter, truth and knowledge, reason and experience, causation, language and logic. The order of presentation is mainly historical: Pre-Socratics, Plato, Aristotle, Rationalists and Empiricists, Kant, Wittgenstein, etc. The aim is to familiarize students with philosophical views that have contributed in shaping the history of ideas as well as to enable students to acquire the knowledge and the skills that will allow them to recognize philosophical problems and to critically develop strategies of approaching those problems.

English Language


The aim of this four-semester course on English Language and Technical Terminology is to cover basic grammatical and syntactical phenomena/ patterns as well as help students get familiar with the scientific bibliography. Thus it is divided into two cycles: a) the cycle of the first three semesters, where plain language patterns are revised and practiced. Students holding English Language Certificates equivalent to the Cambridge FCE are exempted from the above sub-course. b) the cycle of the fourth semester where students approach technical terminology through scientific texts and gradually enrich their technical vocabulary. This cycle, which is mandatory, is integrated and enriched by an e-learning course, developed by the instructors of the English language in cooperation with the Computer Centre.

French Language


The aim of this four-semester course on French Language and Technical Terminology is to improve students language acquisition and help them get familiar with the scientific bibliography. Thus it is divided into two cycles: a) the cycle of the first three semesters, where basic grammatical and syntactical phenomena/ patterns are taught and practiced through texts oriented to scientific language. Students holding all the certified French Language Certificates (level B2) are exempted from the above sub-course. b) The cycle of the fourth semester, where students approach technical terminology through scientific texts and gradually enrich their technical vocabulary. This cycle is mandatory for all students. An optional assignment can improve the students final grade.

Italian Language


The aim of this four-semester course on Italian Language and Technical Terminology is to cover basic grammatical and syntactical phenomena/ patterns as well as help students get familiar with the scientific bibliography. Thus it is divided into two cycles: a) the cycle of the first three semesters, where plain language patterns are taught and practiced. Students holding all the certified Italian Language Certificates (level B2) are exempted from the above sub-course. b) The cycle of the fourth semester where students approach technical terminology through scientific texts and gradually enrich their technical vocabulary. This cycle, which is mandatory, is integrated and enriched by an e-learning course, developed by the instructor of the Italian language in cooperation with the Computer Centre.

2nd SEMESTER

(9.2.33.2) Mathematical Analysis (Functions of several variables, Vector Analysis)

Mandatory: 6-0

DIFFERENTIAL CALCULUS OF SEVERAL VARIABLES: Metric spaces, Euclidean space. Sequences, functions of several variables, limits and continuity. Derivatives of vector valued functions of one variable. Partial Derivatives, implicit differentiation, total differential, tangent planes and linear approximation, the gradient. The chain Rule. Derivatives and differentials of higher order. Directional derivatives. Mean value theorem, Taylor's theorem, inverse function theorem. Implicit functions, theorems of implicit functions. Extreme of functions of several variables, constrained maximum-minimum and Lagrange Method. INTEGRATED CALCULUS OF SEVERAL VARIABLES: Multiple integrals. Double and triple integrals, change of variables, integrals in polar, cylindrical and spherical coordinates, applications. Line and surface integrals of first and second kind. Physical applications. VECTOR ANALYSIS: Vector fields, the gradient, curl and divergence. Path independence and conservative vector fields. Solenoid fields. Green's, Stokes' and Gauss' theorems and applications. Green's, grad and rot integral formulas.

(9.4.32.2) Physics II (Electromagnetism)

Mandatory: 4-1

Electrostatics. Coulomb's law. Electric filed and potential. Gauss's law. Potential difference. Energy of the electric field. Gauss and Stokes theorems. Laplace equation. Conductors. Electric currents and current density. Ohm's law. Magnetic field. Fields of moving charges. Biot-Savart law. Ampere's law. Electromagnetic induction. Faraday's law. Energy of the magnetic filed. Maxwell's equation. Electromagnetic waves. Electric fields in the matter: electric multipoles, Coulombs law in the matter. Magnetic fields in the matter : diamagnetic, paramagnetic materials. Magnetic multipoles.

(3.3.01.2) Introduction to Electrical Circuits

Mandatory: 5-0

Introduction to signals and systems. Fundamental principles of electrical circuits (electric current, voltage, Kirchoff's laws, principles of topology theory etc.). Analysis of circuit elements (Ohmic resistor, capacitor, inductance, independent sources of electrical circuits). Fundamental theorems of electrical circuits. Elements in series and in parallel connection. Thevenin and Norton theorems. Kennelly theorem. Transformation of sources. Symmetrical circuits. Elementary transient phenomena. Analysis of circuits in the sinusoidal steady state (use of complex phasors, impedance, power in the steady state, theorems of electrical circuits in the sinusoidal steady state). Multiphase circuits (A general method of analysis of multiphase circuits. Power and methods of measurements of power applied to multiphase circuits).

(3.5.01.2) Logic Design of Digital Systems

Mandatory: 4-0

Bollean Algebra, logic gates. Simplification of logical functions. Combinatorial logic (analysis, design, adders, subtractors, code converters, magnitude comparators, decoders, multiplexers, ROM, PLA, etc.). Synchronous sequential logic (latches, flip-flops, analysis and design of clocked sequential circuits, etc.). Registers, counters, memory units. Algorithmic state machines. Asynchronous sequential circuits.

(3.4.03.2) Programming Techniques

Mandatory: 3-2

The C programming language. Data types, constants and variables, expressions and statements. Control constructs, functions and procedures, parameter passing, iteration and recursion. Complex data structures and their applications: arrays, structures, unions, pointers and dynamic memory allocation. Use of program libraries. Concrete and abstract data types. Static and dynamic implementation of data types. Measuring performance of algorithms and data structures. Arrays and algorithms for searching and sorting. Simply and doubly linked lists, stacks, queues, circular and sorted lists. Binary trees, algorithms for their traversal, balanced trees, search trees and AVL trees. Graphs and algorithms for graph traversal. The course has a laboratory with a set of programming exercises in C covering the above topics.

(3.2.02.2) Introduction to Materials

Mandatory: 3-1

Structure and properties of materials. Crystal structure: ideal and real. Electrical properties of materials. Metals and conductors. Semiconductivity and semiconductors. Superconductivity. Dielectric properties of materials. Mechanical, optical and thermal properties of materials. Equilibrium phase diagrams. Diffusion (Fick first and second laws). Application in electronics. Polymers and composites. Selection of materials for electrical engineers: semiconductors, metals, ceramics, polymers, composites.

(9.1.31.2) Political Economy

Mandatory: 3-0

Economic Circuit, National Accounts, Macroeconomics identities. Price index, nominal vs real values. Production - Income- Expenditure. Equilibrium output in the goods market - Keynesian model - The Keynesian Multiplier. Equilibrium output and potential output, the inflationary and deflationary gap, fiscal policy. Money, Interest and Income. Money, Financial markets and Banks. Monetary policy. The goods market and the IS curve. The financial market and the LM curve. Equilibrium output in the IS-LM model. The labor market, equilibrium in the labor market, the wage-setting and the price-setting relations. Aggregate demand and the AD curve. Aggregate supply and the AS curve. Equilibrium in the AD-AS model. Long term growth and productivity The Solow model.

3rd SEMESTER

(9.4.33.3) Physics III (Wave and Quantum Physics)

Mandatory: 4-1

Simple harmonic motion. Dumped oscillations. Forced oscillations. Complex resistance. Coupled oscillations. Systems with many degrees of freedom. Wave equation. Transverse and longitudinal waves. Propagating (progressive) and standing (stationary) waves. Reflection, transmission. Fourier methods. Band-width theorem. Waves in two and three dimensions. Electromagnetic waves. Waves in Optical systems. Interference and diffraction. Polarization. Elementary quantum effects and the old quantum theory, de Broglie waves. Wave mechanics. Heisenberg's uncertainty principle. Schroedinger equation, solution for simple one- dimensional potentials. Quantum harmonic oscillator.

(9.3.01.3) Kinematics and Dynamics of Rigid Bodies

Mandatory: 4-0

Kinematics of a rigid body: Translation and Rotation. Degrees of freedom and constraints. Planar and general motion of a rigid body. Theorems of Euler and Chasles. Velocity and acceleration. Rotating frames.

Dynamics of a rigid body: Systems of particles (Principles of the motion - Conservation theorems). Rigid bodies (Moments and products of inertia - Principles of the motion - Conservation theorems - Eulers equations of motion)

(3.1.03.3) Electronic materials and Devices

Mandatory: 3-1

1)Introductory Quantum Mechanics

Formulation of Schroedingers equation. Solution in elementary cases as e.g. the particle in a box. Mean values and the Heisenberg uncertainty relation. The Hydrogen atom. Atomic orbitals and the periodic table. Tunneling.

2)Electron states in crystals

Formation of bands in solids - qualitatively. Formation of bands in solids quantitatively, Blochs theorem and the LCAO method (simplified). Metals, Semiconductors and Insulators. Dispersion relations near extrema, the concept of the effective mass and of direct and indirect bandgap.

3)Currents in Semiconductors

Scattering mechanisms and distinction between microscopic velocity and drift velocity. Mobility and its temperature dependence. Diffusion current and Ficks Law. Formulation of Continuity equations, solution in simple cases.

4)Introduction to Semiconductor Devices

The Scottky diode and the PN diode. The bipolar transistor (BJT). The MOS diode and transistor. The light emitting diode.

5)Introduction to microelectronic manufacturing

Production and purification of Si crystalline substrates. Oxide layer growth and lithography. Diffusion and implantation. Formation of metallic contacts. Integrated resistors and capacitors.

(3.7.02.3) Electric Measurements I

Mandatory: 2-2

Error Analysis(deterministic and random errors, weight coefficient and measurement conditions), Instrumentation, classical electric measurement methodology, oscilloscopes, nullitying instruments (bridges and compensation apparatus), energy and power measurement of one-plase and multi-phase systems.

(9.2.34.3) Ordinary Differential Equations

Mandatory: 5-0

Introduction: Definition, solution and its geometrical properties. Initial - boundary value problems. Well posed problems.

First order differential equations: Separable equations, homogeneous, exact, Riccati, Lagrange, Clairaut. Qualitative theory. Existence and uniqueness of solutions. Picards theorem, Peanos theorem.

Linear ordinary differential equations: Basic theory, linear independence. Wronski determinant. Homogeneous equations with constant coefficients. Method of variation of parameters (Lagrange) The method of undetermined coefficients. The Euler equation.

The method of power series: Power series. Solution near an ordinary point, Legendres equation. Solution near regular singular point. Fuchs theory, Frobenius method. Bessels equation.

Systems of ordinary differential equations: Introduction, Elimination method, Basic theory. Systems with constant coefficients, homogeneous, non - homogeneous. Laplace transform: Introduction, properties, inverse Laplace transform. Applications, Heaviside function. Dirac delta function. Convolution. Integrodifferential equations.

Use of computational software for the study of problems in ordinary differential equations.

(9.2.49.3) Numerical Analysis

Mandatory: 4-0

Computer numerical errors. Linear systems: Gauss elimination method, Norms, Stability of linear systems, General fixed-point iterative method, Jacobi, Gauss-Seidel and relaxation methods, Computation of eigenvalues and eigenvectors by the power method. Least-squares methods. Lagrange, Hermite and splines interpolation. Tapezoidal, Simpson, Three-eights, Gauss and Hermite integration rules. Nonlinear algebraic equations and systems: Bisection and Secant methods, General fixed-point iterative method, Newton-Raphson methods. Ordinary and partial differential equations: Taylor, Runge-Kutta and Predictor-corrector methods, Introduction to finite difference and finite element methods.

(9.2.71.3) Probability Theory and Statistics

Mandatory: 5-0

Descriptive statistics, Binary data and correlation, Probability definition and laws of probability, Conditional probability, Independent events, Theorem of total probability and Bayes formula, Random variables, Specific discrete and continuous distributions of one variable, Expectation and variance of random variables, Multivariate distributions, Distribution of a function of random variables, Characteristic function, Central limit theorem,

Statistical inference and sampling theory, Estimation of parameters, Confidence intervals and hypothesis testing for the mean and the variance of a population, Inference for two populations, Confidence intervals and hypothesis testing for proportions, x2 test of goodness of fit, Contingency tables, Simple linear regression,

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