Department of. Electronic. and Computer. Engineering TECHNICAL UNIVERSITY OF CRETE GRADUATE PROGRAM GUIDE

Transcription

1 TECHNICAL UNIVERSITY OF CRETE Department of Electronic and Computer Engineering GRADUATE PROGRAM GUIDE

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3 Graduate Program Guide TECHNICAL UNIVERSITY OF CRETE Department of Electronic and Computer Engineering Text by G. Karystinos, V. Grigoraki Designed by Typorama Photos by I. Milonakis

4 MESSAGE FROM THE CHAIRMAN Dear Reader, The Department of Electronic and Computer Engineering (ECE) of the Technical University of Crete (TUC) was founded towards the end of the 1980 s and admitted its first incoming class of freshmen in Since then, the Department has grown substantially. Today, there are 28 full time faculty members (25 serving and 3 under appointment). The ECE Department offers high level engineering education with emphasis in the four Divisions it is organized in: Computer Science, Electronics and Computer Architecture, Systems, and Telecommunications, areas around which the research activity of the department is organized. The program of graduate studies was initiated in 1993, is focused on research, and offers the M.Sc. and Ph.D. degrees in Electronic and Computer Engineering. Both degrees require (a) the registration, attendance, and successful examination in graduate courses of the Department (b) the completion of a research M.Sc. thesis or original Ph.D. dissertation under the supervision of a faculty member of the department. Especially for the Ph.D. degree, the dissertation must be an original body of research, published in peer reviewed international journals and conferences. A total of 160 M.Sc. and 17 Ph.D. students have graduated from the ECE Department so far. The departmental personnel are well trained and highly qualified. The majority of the faculty members have earned their Ph.D. degrees from top universities around the world and many have pursued careers as tenure track or tenured faculty members abroad before joining the ECE Department. The current high level of scientific activity, peer reviewed publications, and competitive research funding of the ECE Department are due to the unrelenting efforts and talent of the graduate students and their close collaboration with the faculty of the Department, as well as their active involvement in research projects run by the Department. The international recognition, which has been bestowed to the Department, can be attested by the numerous publications in top scientific journals and international conferences, several best paper awards which ECE faculty and student publications have earned from the Institute of Electrical and Electronic Engineers (IEEE) in journal publications and at international conferences, participation of the faculty in top journal editorial boards and top international conference program committees, etc. The Department has a demonstrable continuous improvement in academic quality which is due to the continuous efforts of the faculty, staff, and students of the Department. Many students that have graduated with an M.Sc. or Ph.D. degree from the ECE Department currently serve as tenured or tenure track faculty members at top US institutions (e.g. Georgia Tech), researchers at university research labs, national research and development labs, and the industry (e.g. Rice U.S., NICTA Australia, Telcordia U.S.), and professional engineers in Greece, Europe, and the USA. The present Graduate Program Catalog provides accurate and complete information about all aspects of the program of graduate studies in the ECE Department. Further information may be found on the website of the ECE Department ( For further inquiries you may contact the Secretariat of the Department (Vicky Grigoraki, , vicky@ece.tuc.gr) or the Chairman of the Department (Associate Professor Athanasios Liavas, , liavas@telecom.tuc.gr). Athanasios Liavas Associate Professor and Chairman ΦΩΤΟ ΚΙΜΙΩΝΗΣ ΜΑΡΚΟΣ/ΑΕΡΟΛΕΣΧΗ ΧΑΝΙΩΝ 2 ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

5 TABLE OF CONTENTS THE TECHNICAL UNIVERSITY OF CRETE GENERAL PROVISIONS THE DEPARTMENT OF ELECTRONIC AND COMPUTER ENGINEERING DEPARTMENTAL STRUCTURE FACULTY AND STAFF FACULTY LABORATORY TEACHING STAFF LABORATORY TECHNICAL STAFF CONTRACTED STAFF ADMINISTRATIVE STAFF LABORATORY INFRASTRUCTURE UNIVERSITY RESEARCH INSTITUTES SUBJECT GOALS GRADUATE DEGREES ADMISSION PROCEDURE ELIGIBLE APPLICANTS SELECTION CRITERIA ADMISSION PROCEDURE PROGRESS, GRADES AND EVALUATION MASTER OF SCIENCE (M.Sc.) DOCTOR OF PHILOSOPHY (Ph.D.) GRADUATE STUDIES REGULATIONS OBLIGATIONS OF GRADUATE STUDENTS FINANCIAL SUPPORT GRADUATE COURSES CATEGORIES OF GRADUATE COURSES COURSES OF STUDY DESCRIPTION OF GRADUATE COURSES CONTACT INFORMATION ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

6 THE TECHNICAL UNIVERSITY OF CRETE The Technical University of Crete The Technical University of Crete is Greece s second technical university, devoted to engineering education. It was established in 1977 and admitted its first students ever at the Department of Production Engineering and Management in The mission of the Technical University of Crete is to advance education and research in new technologies, as well as the establishment of a high quality scientific and technological institution which is in close cooperation with the production forces of the country. There are six departments at the Technical University of Crete: Department of Production Engineering and Management Department of Electronic and Computer Engineering Department of Mineral Resources Engineering Department of Environmental Engineering Department of Architectural Engineering Department of Sciences To this list soon will be added the newly founded Department of Civil Engineering and the School of Fine Arts. General Provisions The graduate studies are organized based on the Greek Law 2083/92 and consist of attendance at courses and seminars, contribution to the research and teaching activities of the Department, exams, and completion of a research oriented thesis. The Department of Electronic and Computer Engineering organizes and operates, since academic year , a revised Program of Graduate Studies (PGS), according to the Greek Law 1812/ τ.β' and Articles 10 and 12 of the Greek Law 2083/92. The Department of Electronic and Computer Engineering The Program of Graduate Studies of the Department of Electronic and Computer Engineering is governed by its General Assembly of Special Composition (GASC) and the Department Chairman who chairs the General Assembly of Special Composition. The General Assembly of Special Composition comprises of the faculty and two graduate student representatives. The responsibilities of the General Assembly, the Chairman, and the Department Secretary are determined by the Greek Laws 1268/82 (Higher Education Framework Law) and 2083/92, as well as their derivatives. Department Chairman The current Department Chairman is Associate Professor Athanasios Liavas and Associate Chairman is Associate Professor Dionisios Pnevmatikatos. Department Secretary Department Secretary (which is the official position of the supervisor of the administrative services of the Department) is Mrs. Vassiliki Grigoraki. Departmental Structure The Department is organized in four Divisions: Division of Computer Science Division of Electronics and Computer Architecture Division of Systems Division of Telecommunications Faculty and Staff The faculty and staff of the Department are in the following categories: a. Faculty. The tenure track and tenured faculty members of the Department hold Ph.D. degrees and they fall 4 ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

7 GENERAL PROVISIONS under four seniority ranks: Professors, Associate Professors, Assistant Professors, and Lecturers. In addition to the tenure track and tenured faculty, there are also several adjunct assistant professors and visiting faculty members charged mostly with teaching responsibilities. b. Laboratory Teaching Staff. The laboratory teaching staff members perform laboratory and applied educational duties, which largely include the design, preparation, and administration of laboratory sessions and recitations for the courses taught in the Department. The laboratory teaching staff members hold university and/or graduate degrees. c. Laboratory Technical Staff. The laboratory technical staff members provide technical support to the Department by offering specialized technical services to the educational and research activities of the various laboratories in the Department. The laboratory technical staff members hold university and/or graduate degrees. d. Contracted Staff. The contracted staff members conduct research and/or administrative work under long terms contracts with the goal of improving the educational and research activities of the Department. The contracted staff members hold university and/or graduate degrees. e. Administrative Staff. The administrative staff includes employees of various ranks reporting to the central administration of the Technical University of Crete. The administrative staff members support the administrative operations of the Department, such as management of student records, departmental archives, course registrations, grade reports, etc. Faculty Computer Science, Computing Systems, Databases, Distributed Computing and Information Systems, Office Automation, Computer Applications, Multimedia Systems, Parallel Computing, Electronic Publishing. Antonios Deligiannakis, Assistant Professor B.Sc. National Technical University of Athens, Greece, M.Sc. University of Maryland, USA, Ph.D. University of Maryland, USA, Databases, Online Analytical Processing, Approximate Query Processing, Sensor Networks, Data Streams. Minos Garofalakis, Professor B.Sc. University of Patras, Greece, M.Sc. University of Wisconsin-Madison, USA, Ph.D. University of Wisconsin-Madison, USA, Database systems, data streams, data synopses and approximate query processing, probabilistic and uncertain databases, network-data management, XML/text databases, data mining. Michail Lagoudakis, Assistant Professor B.Sc. University of Patras, Greece, M.Sc. University of Louisiana Lafayette, USA, Ph.D. Duke University, USA, Machine Learning, Artificial Intelligence, Decision Making under Uncertainty, Multi Agent Systems, Robotics, Complex Systems. Katerina Mania, Assistant Professor B.Sc. University of Crete, Greece, M.Sc. University of Bristol, UK, Ph.D. University of Bristol, UK, Three Dimensional Computer Graphics, Virtual Reality, Simulator Accuracy Metrics, Human Computer Interfaces, Optical Cognition. Euripides Petrakis, Associate Professor B.Sc. National and Kapodistrian University of Athens, Greece, Ph.D. University of Crete, Greece, Information Systems, Multimedia Systems, Medical Information Systems, Semantic Web, Machine Vision Applications. DIVISION OF COMPUTER SCIENCE Stavros Christodoulakis, Professor B.Sc. National and Kapodistrian University of Athens, Greece, M.Sc. Queen s University, Kingston, Canada, Ph.D. University of Toronto, Canada, ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

8 GENERAL PROVISIONS Vassilios Samoladas, Assistant Professor B.Sc. Aristotle University of Thessaloniki, Greece, M.Sc. University of Texas at Austin, USA, Ph.D. University of Texas at Austin, USA, Computational Geometry, Algorithmic Complexity in Multidimensional Problems, Database Complexity, Distributed Information Systems, Parallel Programming. DIVISION OF ELECTRONICS AND COMPUTER ARCHITECTURE Konstantinos Balas, Associate Professor B.Sc. University of Patras, Greece, Ph.D. University of Patras, Greece, Optoelectronics, Optoelectronic Circuits, Optical Detectors and Imaging Systems, Superspectral Imaging, Non Destructive Evaluation, Biophotonics, Tissue Spectroscopy, Optical Biopsy, Novel Optical Diagnostic Technologies and Systems for Cancer Diagnosis. Matthias Bucher, Assistant Professor B.Sc. Swiss Federal Institute of Technology Lausanne, Switzerland, Ph.D. Swiss Federal Institute of Technology Lausanne, Switzerland, Analog Integrated Circuit Design Methods, Semiconductor Circuit Physics and CMOS Technology, Analysis, Characterization, and Modeling of Active and Passive Elements for High Frequencies, Computer Aided Design Tool Development. Apostolos Dollas, Professor B.Sc. University of Illinois at Urbana Champaign, USA, M.Sc. University of Illinois at Urbana Champaign, USA, Ph.D. University of Illinois at Urbana Champaign, USA, Computer Hardware, Reconfigurable Computing, Computer Architecture, Rapid System Prototyping, Special Purpose Architectures. Konstantinos Kalaitzakis, Professor B.Sc. National Technical University of Athens, Greece, Ph.D. Democritus University of Thrace, Greece, Electronic Circuits, Renewable Energy Sources, Power Electronics, Sensors and Computer Interfaces, Special Purpose Microprocessor Based Systems, Biomedical Applications. Ioannis Papaefstathiou, Assistant Professor B.Sc. University of Crete, Greece, M.Sc. Harvard University, USA, Ph.D. University of Cambridge, UK, Design and Implementation of High Speed Systems, Low Power Systems Design, Tools and Methods for System on a Chip Design and Simulation. Dionisios Pnevmatikatos, Associate Professor B.Sc. University of Crete, Greece, M.Sc. University of Wisconsin Madison, USA, Ph.D. University of Wisconsin Madison, USA, Computer Architecture, Instruction Level and Task Parallelism, Design and Implementation of Computing and Telecommunication Systems. George Stavrakakis, Professor B.Sc. National Technical University of Athens, Greece, M.Sc. Institut National des Sciences Appliquees, Toulouse, France, Ph.D. Universite Paul Sabatier [Toulouse III], France, Modeling and Electronic Control of Manufacturing Systems, Energy Systems, and Renewable Energy Sources, Reliability Analysis and Automatic Diagnosis of System Failures, Applications of Electronics and Computers in Industry. DIVISION OF SYSTEMS Emmanuel Christodoulou, Professor B.Sc. National Technical University of Athens, Greece, M.Sc. University of Maryland, USA, Ph.D. Democritus University of Thrace, Greece, Automatic Control, Systems, Optimal Control, Stochastic Control, Control of Robotic Systems, Biomedical Applications. Peter Stavroulakis, Professor B.Sc. New York University, USA, M.Sc. California Institute of Technology, USA, Ph.D. New York University, USA, Satellite Systems, Telecommunications, Control Systems, Distributed Systems. 6 ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

9 GENERAL PROVISIONS DIVISION OF TELECOMMUNICATIONS Aggelos Bletsas, Assistant Professor B.Sc. Aristotle University of Thessaloniki, Greece, M.Sc. Massachusetts Institute of Technology,USA, Ph.D. Massachusetts Institute of Technology,USA, Design and implementation of wireless relay networks, design and implementation of softwaredefined transceivers (SDR), backscatter sensor networks, time and frequency metrology, bibliometrics. Vassilios Digalakis, Professor B.Sc. National Technical University of Athens, Greece, M.Sc. Northeastern University, USA, Ph.D. Boston University, USA, Voice Recognition and Speech Processing, Digital Telecommunications. George Karystinos, Assistant Professor B.Sc. University of Patras, Greece, Ph.D. State University of New York at Buffalo, USA, Wireless Communications Systems, Spreading Code and Signal Waveform Design, Interference Suppression and Receiver Adaptation with Short Data Records, Adaptive Antenna Arrays and Array Radar, Multiuser CDMA Detection, Neural Networks. Polychronis Koutsakis, Assistant Professor B.Sc. University of Patras, Greece, M.Sc. Technical University of Crete, Greece, Ph.D. Technical University of Crete, Greece, Computer communication networks Design, modeling, and performance evaluation of: wireless cellular personal communication networks, broadband high speed local and metropolitan area networks, and packet radio multiple access communication systems; multiple access control protocols for mobile satellite networks, wireless sensor networks and powerline networks; traffic modeling; queuing and applied probability theory and their application to computer communication networks and information systems. Athanasios Liavas, Associate Professor B.Sc. University of Patras, Greece, Ph.D. University of Patras, Greece, Digital Communications, Signal Processing for Communications, Information Theory. Michael Paterakis, Professor B.Sc. National Technical University of Athens, Greece, M.Sc. University of Connecticut, USA, Ph.D. University of Virginia, USA, Computer Communications, Communication Protocols, Modelling and Analysis of Protocols Performance, Modelling and Analysis of Systems Performance, Wireless Networks for Integrated Services to Mobile Users, Wideband Local and Metropolitan Communication Networks, Packet Transmission Radionetworks. Alexandros Potamianos, Associate Professor B.Sc. National Technical University of Athens, Greece, M.Sc. Harvard University USA, Ph.D. Harvard University USA, Voice Processing, Analysis, Synthesis and Recognition, Dialog and Multimodal Systems, Mobile Telephony Services, Nonlinear Signal Processing, Natural Language Processing, Artificial Intelligence, Multimodal Computational Systems for Children. Nikos Sidiropoulos, Professor B.Sc. Aristotle University of Thessaloniki, Greece, M.Sc. University of Maryland, USA, Ph.D. University of Maryland, USA, Signal Processing for Telecommunications with Emphasis on Linear and Multi way Linear Algebra, Theory and Algorithms of Non Parametric Optimization with Applications to the so called Blind CDMA Signal Detection, Multiple Antennas Systems, Random Access Networks and Coding in Systems with Multiple Transmission Antennas. Michael Zervakis, Professor B.Sc. Aristotle University of Thessaloniki, Greece, M.Sc. University of Toronto, Canada, Ph.D. University of Toronto, Canada, Digital Image and Signal Processing, Biomedical Applications. Laboratory Teaching Staff Sotirios Bouros B.Sc. in Computer Science and Engineering, University of Patras, Greece. Emmanuel Doudounakis B.Sc. in Electrical Engineering, National Technical University of Athens, Greece. M.Sc. in Production Engineering and Management, Technical University of Crete, Greece. Markos Kimionis B.Sc. in Electronic Engineering, Technological Education Institute of Crete, Greece. George Markoulakis B.Sc. in Electronic Engineering, Technological Education Institute of Crete, Greece. ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

10 GENERAL PROVISIONS Nektarios Gioldasis B.Sc. in Applied Computer Science, University of Macedonia, Greece. M.Sc. in Electronic and Computer Engineering, Technical University of Crete, Greece. Fotis Kazasis B.Sc. in Computer Science and Engineering, University of Patras, Greece. M.Sc. in Electronic and Computer Engineering, Technical University of Crete, Greece. Amalia Sergaki B.Sc. in Electrical Engineering, Aristotle University of Thessaloniki, Greece. M.Sc. in Economics, International Centre for Advanced Mediterranean Agronomic Studies, France. Ph.D. Candidate in Electronic and Computer Engineering, Technical University of Crete, Greece. Laboratory Technical Staff Spyros Argyropoulos B.Sc. in Computer Science and Engineering, University of Patras, Greece. M.Sc. in Electronic and Computer Engineering, Technical University of Crete, Greece. Eftichios Koutroulis B.Sc. in Electronic and Computer Engineering, Technical University of Crete, Greece. Ph.D. in Electronic and Computer Engineering, Technical University of Crete, Greece. Contracted Staff Stamatis Andrianakis B.Sc. in Electrical and Computer Engineering, Aristotle University of Thessaloniki, Greece. George Anestis B.Sc. in Electronic and Computer Engineering, Technical University of Crete, Greece. M.Sc. in Electronic and Computer Engineering, Technical University of Crete, Greece. M.Sc. in Production Engineering and Management, Technical University of Crete, Greece. Polyxeni Arapi B.Sc. in Electronic and Computer Engineering, Technical University of Crete, Greece. Vassilios Diakoloukas B.Sc. in Physics, University of Crete, Greece. Ph.D. in Electronic and Computer Engineering, Technical University of Crete, Greece. Ioannis Maragoudakis B.Sc. in Electronic and Computer Engineering, Technical University of Crete, Greece. M.Sc. in Production Engineering and Management, Technical University of Crete, Greece. Nektarios Moumoutzis B.Sc. in Computer Science, University of Crete, Greece. M.Sc. in Electronic and Computer Engineering, Technical University of Crete, Greece. Kyprianos Papademetriou B.Sc. in Electronic and Computer Engineering, Technical University of Crete, Greece. M.Sc. in Electronic and Computer Engineering, Technical University of Crete, Greece. Ph.D. candidate in Electronic and Computer Engineering, Technical University of Crete, Greece. Nikolaos Pappas B.Sc. in Electronic and Computer Engineering, Technical University of Crete, Greece. M.Sc. in Electronic and Computer Engineering, Technical University of Crete, Greece. Euripides Sotiriades B.Sc. in Electronic and Computer Engineering, Technical University of Crete, Greece. M.Sc. in Electronic and Computer Engineering, Technical University of Crete, Greece. Ph.D. candidate in Electronic and Computer Engineering, Technical University of Crete, Greece. Administrative Staff Vasiliki Grigoraki Head Secretary. Dimitra Athenaki Coordinator of Undergraduate Studies. Eleni Stamataki Coordinator of Graduate Studies. Agapi Karakatsani Textbooks and Supplies Administrator. 8 ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

11 GENERAL PROVISIONS Laboratory Infrastructure The teaching and research activities within the Department of Electronic and Computer Engineering are supported by ten laboratories which are listed below. 1. Automation Laboratory Director: Professor M. Zervakis This laboratory operates under the Division of Systems and serves the educational and research needs in the discipline of Systems Theory and Automatic Control. Research areas: Automatic Control Theory. Intelligent Control. Industrial Controllers. Neural Networks. Automated Fault Diagnosis and Repair. Diagnostic Systems in Medicine. Biomedical Systems. Robotics. Robotic Applications in Medicine. Industrial Control Processes. Production System Scheduling. 2. Digital Image and Signal Processing Laboratory Director: Professor M. Zervakis This laboratory operates under the Division of Telecommunications and conducts active research in applications related to the reception, identification, and diagnosis of operational problems in various signals used in Telecommunications, Industry, and Biomedicine. Research areas: Biomedical image and signal processing. Machine vision and non invasive diagnosis methods. Search methods in image and video archives. Video processing, analysis and compression. Non linear systems modeling using artificial intelligence methods. Neural networks and fuzzy logic systems. Time series processing. 3. Distributed Multimedia Information Systems and Applications Laboratory Director: Professor S. Christodoulakis This laboratory was established in 1990 and operates under the Division of Computer Science. It is a centre of research and development in the areas of distributed information systems, multimedia, graphics, human computer interaction, large scale web information systems, and business applications on the Internet. Research areas: Information retrieval systems. Internet search engines and agent technology. Digital libraries. Communication multimedia systems. Distributed collaborative environments and work flow management. Human Computer Interaction. Applications in tourism and culture, electronic commerce, elearning. Office automation, company automation. Distributed multimedia information systems. Development of applications and services on the Internet. Information society. Databases. 4. Electric Circuits and Renewable Energy Sources Laboratory Director: Professor K. Kalaitzakis This laboratory operates under the Division of Electronics and Computer Architecture and is active in the field of electrical circuits and renewable energy. Its research equipment includes high precision oscilloscopes, generators, and multimeters, electric power quality analyzer, meters for various quantities, and microprocessor, DSPs and FPGAs development systems, as well as a wind generator, a photovoltaic array, and a meteorological station with data acquisition system for the measurement of related quantities. Research areas: Sensors and measurement units. Development sensor, actuator, and computer networks. Development of electronic control systems based on fuzzy logic and neural networks. Decision support systems for industrial applications. Wind systems. Applications of photovoltaic units. Management and operation of electric power stations. Management in and optimization of systems with renewable energy sources. Intelligent energy management systems in buildings. Smart card applications in ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

12 GENERAL PROVISIONS health, security, billing, access, and energy saving. Biomedical and biomechanical units. Development of controlled inverters and electrical power converters. 5. Electronics Laboratory Director: Assistant Professor M. Bucher The laboratory operates under the Division of Electronics and Computer Architecture and its activities include research, development, education, and technology transfer in the fields of opto electronics and micro nano electronics. The Electronics Laboratory is equipped with tools for design, simulation, layout, prototype development, characterization and control of opto electronic and microelectronic systems and devices. Research areas: System development and data analysis. Hyper spectral imaging. Optical molecular imaging. Biophotonic medical diagnostic instruments. High frequency microelectronics. Design and modeling of CMOS devices and circuits. Study, design, and evaluation of very large scale integration (VLSI) circuits. Optoelectronic devices and applications. Development of optimal battery energy management, the voltage conversion, and uninterrupted power supply (UPS). 6. Information and Computer Networks Laboratory Director: Professor V. Digalakis This laboratory operates under the Division of Telecommunications and is active in the field of Information Theory and Coding with applications in Networks. Research areas: Design, modeling, and performance analysis of computer networks. Universal mobile telecommunications systems. Multiple access telecommunications networks. Local and metropolitan broadband high speed networks. ATM networks. Centralized and distributed systems for distribution of multimedia information. Scheduling for multimedia servers and information broadcasting over wireless networks. Voice Recognition. Voice coding. Acoustic and linguistic modeling. Robust and adaptive voice recognition. Telephone and Internet applications of speech recognition. 7. Intelligent Systems Laboratory Director: Associate Professor E. Petrakis This laboratory was founded in 2001 and operates under the Division of Computer Science. The current research activities cover various aspects of Artificial Intelligence, Intelligent Agents, Bioinformatics, Information Retrieval, Machine Learning, and Robotics. The robotic equipment of the laboratory includes quadrupedal Sony Aibo robots and bipedal humanoid Aldebaran Nao robots, which also form the robotic soccer team Kouretes. Research areas: Artificial Intelligence. Knowledge Representation. Constraint Satisfaction Problems. Logic Programming and Programming with Constraints. Multimedia Management. Web Information Systems. Information Retrieval. Electronic Commerce. Semantic Web. Autonomous Agents. Multi Agent Systems. Machine Learning. Robotics. Bioinformatics. Machine Vision. Pattern Recognition. Image Understanding. 8. Microprocessor and Hardware Laboratory Director: Associate Professor D. Pnevmatikatos This laboratory was founded in 1990 and operates under the Division of Electronics and Computer Architecture. Its activities revolve around issues of computer architecture and hardware. The laboratory is a member of the academic and research consortium EUROPRACTICE. Research areas: Computer architecture. Computer hardware. Design and implementation of digital microelectronic systems. Rapid System Prototyping. Very Large Scale Integration Design (VLSI, FPGA's, PLD's, etc.). Development of tools for Computer Aided Design (CAD). 10 ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

13 SUBJECT GOALS 9. Software Technology and Network Applications Laboratory Director: Professor M. Garofalakis This laboratory operates under the Division of Computer Science and is a centre of research and teaching software systems technology and network applications. The research and teaching activities of the laboratory include operating and distributed systems, sensor networks, continuous data streams, large and distributed databases, and topics in algorithms and complexity. Research areas: Collection and distribution of content on the Internet. Internet Video Streaming. Collaborative Web Proxy Caching. Peer to peer architectures for large scale storage and distribution of content. Intelligent information storage systems. System performance modeling. Caching and fetching in hierarchical servers. Access request scheduling. Distributed information management systems (caching, prefetching, replication, fault tolerance, recovery, etc.). File management systems. Database systems. Development of applications for electronic commerce. 10. Telecommunications Laboratory Director: Professor N. Sidiropoulos This laboratory operates under the Division of Telecommunications and is active in the field of Telecommunications. Research areas: Signal processing using convex optimization techniques and particle filters. Signal processing with a time varying spectral analysis. Blind channel equalization. Subspace techniques, sensitivity analysis. Parameter estimation of multi dimensional harmonics, estimation of direction and beamforming for multi antenna reception and transmission. Localization in sensor networks. Admission protocols, waiting queue interaction, stability. Unique composition theory. Design of transmitter receivers, decoding, modeling, and characterization of cross interference systems in multi line digital subscriber loop. Channel capacity. Capacity reduction due to incorrect channel assessment. Design of DS CDMA codes using Welch bounds. Design of DS CDMA receivers. Channel estimation and equalization. The current laboratory infrastructure was funded in part with the amount of 66,757 by the European Program EPEAEK II (ETPA). University Research Institutes The Telecommunication Systems Research Institute (T.S.I.) [ is a Greek Government sponsored independent Research Institute established by the Greek Ministry of National Education in Among the objectives of the Institute is to promote graduate education, research and development in the broad areas of Telecommunications and Telecommunication Systems. The Institute provides technical support, space, research infrastructure, and access to cooperating faculty members and highly qualified R&D engineers with experience in project planning, execution, and management. Subject Goals The Electronic and Computer Engineering Department of the Technical University of Crete, responding to the needs and challenges posed by the participation of Greece in the European Union and the corresponding international competition, has created and operates a full and state recognized Program of Graduate Studies (PGS). This program aims at the graduate level education of the engineers who will meet the demands of present day job market. The operation of Programs of Graduate Study in Greek universities is a basic prerequisite for Greek businesses, and as a result the Greek economy, to be competitive. Computer Science, Electronics, Systems, and Telecommunications, which constitute the main fields of concentration of the Department, are today critical sectors of new technologies, and therefore, the education and specialization of engineers in these areas of concentration will allow for Greek high technology industries to create teams of highly competent engineers and managers, including those needed at higher levels of corporate hierarchy. The ECE Department s research areas are the following: Analog and Digital Electronics and Power Electronics Artificial Intelligence Automation and Production Systems Biomedical Systems Computer Network Systems ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

14 SUBJECT GOALS Data Mining and Data Warehouses Databases Digital Signal and Image Processing Digital Telecommunications Electronic Commerce Applications (B2B, B2C) Fuzzy Logic and Neural Network Applications Implementation of Microelectronic Hardware Systems Machine Vision and its Applications Management of Images and Video Flows Microprocessor Systems Mobile Computing and Management of Mobile Information Multiagent Systems and their Applications on the Internet (retrieval, information unification and diffusion, electronic commerce) Multimedia Information Systems Operating Systems and Distributed Software Systems Renewable Energy Sources Robotics Sensors and Instrumentation Software and Applications Development for the Internet and Mobile Appliances Software Systems for the Internet (modeling, content unification and distribution on the Internet) Speech Processing and Voice Recognition Statistical Communication Theory VLSI Systems Wireless Mobile Communication Networks for Multimedia Information Transmission Graduate Degrees The Program of Graduate Studies offers the following degrees: M.Sc. in Electronic and Computer Engineering, and/or Ph.D. in Electronic and Computer Engineering. Under the Greek Law Ν. 2083/92 the goal of the M.Sc. degree is the further education and training of a student, or his/her specialization in one of the Divisions of the Department. The aim of the Ph.D. degree is the development of scientists researchers who will advance research and technology. Admission Procedure Required documents for admission application to the PGS of the ECE Department: 1. Application deposited at the ECE Department Secretary s Office. The application should clearly indicate the desired Division of the Department in which the candidate is interested, as well as his or her research interests. The application form is available at the ECE Department Secretary s Office as well as at the web site 2. A certified copy of the first university degree or diploma. In case this degree originates from a corresponding non Greek University, a certified copy of the equivalence certification granted by the DOATAP organization needs to be submitted as well. 3. Certified copies of Greek state recognized graduate study titles, if such exist. 4. Certified transcripts with full information on courses taken and grades earned for previous undergraduate (and if applicable, graduate) studies. 5. Certified copy of relevant diplomas or certificates which proves adequate knowledge of the English language for Greek students or the Greek language for non Greek students. 6. Curriculum Vitae. This should include the abstract of the diploma thesis (if such exists), and a short essay on the applicant s scientific and professional interests, as well as the reasons for which the applicant is interested in graduate studies. 12 ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

15 SUBJECT GOALS 7. Copies of publications, honors, and proof of prior professional experience (if any of these exist). 8. Three (3) recommendation letters, of which two must be from the applicant s undergraduate Department. The special recommendation form is available from the ECE Department Secretary s Office and from the web site The recommendation letters can be sent directly by their writers to the address below: Technical University of Crete Department of Electronic and Computer Engineering Office of the Secretary University Campus GR Chania Crete, Greece The ECE Department has the right to call the applicants for an interview. Eligible Applicants The PGS accepts students whose first degree is from Departments which include Computer Engineering, Computer Science, Electrical Engineering, Electronic Engineering, Physics, and Mathematics of Greek and non Greek Universities, Technological Education Institutes (TEI), and University level Military Academies, according to the provisions of Greek law N. 2916/2001, article 5. Selection Criteria The selection criteria which are evaluated in unison are the following. University Degree or Diploma Grades Coursework grades in the areas in which the applicant is interested for graduate studies Recommendation Letters Good knowledge of foreign languages and especially of the English language Subject and quality of the diploma thesis (or equivalent, if applicable) Other undergraduate level projects and/or publications of the candidate from his or her undergraduate studies Prior research or professional experience Successful interview Admission to the graduate program can be done for students who have not completed all undergraduate program graduation requirements, but are close to graduation. Successful applicants register at the PGS of the ECE Department within ten (10) working days from (a) the date of approval be the GASC of the Department if they have already graduated the date of approval or (b) the graduation date which has to be done within three (3) months from the approval of the candidate's application by the GASC of the Department. Upon registration at the PGS, the applicant officially becomes a graduate student of the Department and maintains this status until (a) the maximum allowed number of semesters are completed starting from the student's registration date, (b) the student graduates successfully from the PGS, or (c) the student looses the graduate student status due to insufficient progress which is determined based on the student's grades on graduate courses, research work, and support work in undergraduate education, as described in the student's annual progress report submitted by the end of each academic year. The student's first academic semester is the current semester on the date the student resisters at the PGS if the registration is made within ten (10) working days from the start of the current semester. Otherwise, the student's first academic semester is the subsequent one. Admission Procedure Applications for admission to the Program of Graduate Studies (PGS) are reviewed by the Department s Graduate Studies Committee (GSC), which makes recommendations to the General Assembly of Special Composition (GASC a variant of the general assembly which deals with graduate and research issues and which has no undergraduate student representation), which in turn decides on each case. The procedure followed is the following. 1. Applications which do not indicate a faculty member as the requested research advisor are distributed to all faculty in order to determine a champion who would be interested to serve as the research advisor. 2. Those applications which indicate a requested research advisor (and those only) are forwarded to the Graduate Studies Committee. Applications ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

16 MASTER OF SCIENCE (M.Sc.) for which there is no faculty interested in serving as research advisor are placed on file with no further action and the applicant is informed by mail from the Department s Secretary. 3. The GSC examines the complete application folder of each applicant and has the right to ask required documents which might have not been included with the application, additional material, as well as to call the applicant for an interview. 4. The GSC makes a recommendation to the General Assembly of Special Composition for acceptance or not of the applicant. The GSC has the right to recommend to the GASC a list of undergraduate courses which are deemed necessary for the coverage of basic education in the scientific area of the candidate. 5. The requested research advisor attends the GSC meeting and makes relevant recommendations. In his or her absence he or she makes a written recommendation in advance. Progress, Grades and Evaluation The program of graduate studies is governed by the General Assembly of Special Composition upon a proposal by the Graduate Studies Committee. Class attendance is mandatory. The program consists of semester courses, according to the Greek Law 2083/92. The courses are lectures or seminars and consist of homeworks, research subjects, presentations, and discussion. The weight of each graduate course is expressed in graduate credits. The method of examination of each courses is determined by the instructor. If a course contains a final exam, it is held only once, immediately after the end of classes of the corresponding semester. Grading is defined in the range of 0 to 10. The average grade is computed using weights/coefficients that are proportional to the graduate credits of the corresponding courses. Student's progress in courses is consider satisfactory if the student receives a. Grade at least six (6) in each course, and b. An average at least seven and a half (7.5). At the beginning of each semester, within the first ten (10) working days of the semester, each graduate student registers to the courses he/she will take, upon approval by the student's advisor. Within the first twenty (20) working days of the semester, upon approval by the student's advisor, the student can drop some of or all the courses he has registered to. If a student registers to a course and does not drop it within the above deadline, he/she receives a grade that corresponds to pass or fail. If a student completes a substantial part of the course but for a serious reason he cannot satisfy all requirements of the course, he may receive an incomplete grade by the instructor until the end of the corresponding academic year; an incomplete grade is substituted by a regular pass grade if the student satisfy all course requirements until the end of the academic year. Otherwise, the incomplete grade is substituted by a fail. A student that receives a fail in a course must take the same course in the next academic year. A student that receives two fail grades (in the same course or different courses) looses the graduate student status due to insufficient progress. Master of Science (M.Sc.) For the successful completion of the M.Sc. degree the following requirements must be met. a. A minimum of two (4) and a maximum of six (6) semesters. b. Satisfaction of basic education coursework, if it is required. The GASC can on occasion mandate for a student to take additional coursework of the Department s Undergraduate Program in order to satisfy basic education requirements of the Department. Such courses may be in addition to basic courses (undergraduate or graduate) which the student might have to take upon admission in order to cover gaps in the required basic education needed for graduate studies. c. Completion, with satisfactory progress of the coursework corresponding to: OPTION 1 At least three (3) graduate courses which correspond to fifteen (15) graduate credits. To maintain the graduate status, the student must register to and be examined successfully in at least two (2) graduate courses by the end of his/her second semester and at least three (3) graduate courses totally by the end of his/her fourth semester. 14 ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

17 DOCTOR OF PHILOSOPHY (Ph.D.) Graduate (M.Sc.) research thesis, performed under the advice and supervision of a faculty advisor. The M.Sc. thesis is evaluated by a three member committee, comprising of the faculty advisor and two other faculty members. The M.Sc. thesis is equivalent to thirty (30) graduate credits. A total of forty five (45) graduate credits are required for M.Sc. graduation. OPTION 2 At least seven (7) graduate courses which correspond to thirty five (35) graduate credits. To maintain the graduate status, the student must register to and be examined successfully in at least four (4) graduate courses by the end of his/her second semester and at least seven (7) graduate courses totally by the end of his/her fourth semester. Graduate (M.Sc.) research thesis, performed under the advice and supervision of a faculty advisor. The M.Sc. thesis is evaluated by a three member committee, comprising of the faculty advisor and two other faculty members. The M.Sc. thesis is equivalent to ten (10) graduate credits. A total of forty five (45) graduate credits are required for M.Sc. graduation. d. One presentation in the field of the graduate student s research, which is announced to the Technical University of Crete community and is attended by faculty and students. Note: Each graduate course corresponds to five (5) graduate credits. The transcripts given upon completion of the degree to the M.Sc. graduate contain detailed information on coursework completed and grades earned and the title of the M.Sc. thesis. Doctor of Philosophy (Ph.D.) For the successful completion of the Ph.D. degree the following requirements must be met. a. Prior completion of the M.Sc. degree, except for special cases, as these are defined in Greek Law Ν. 2083/92. b. The duration of the studies aiming at the Ph.D. Degree are at least six (6) and no more than twelve (12) semesters, counting from the beginning of the student s graduate studies in the Department. In case the graduate student already possessed a M.Sc. Degree from the ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

18 DOCTOR OF PHILOSOPHY (Ph.D.) Department, or from a corresponding Department of another University, the duration of studies is at least four (4) semesters and no more than eight (8) semesters. c. Satisfaction of the demand of basic education in the Department s subjects. The General Assembly of Special Composition (GASC) can on occasion require of the student to take courses from the Department s undergraduate curriculum in order to cover basic education in the Department s subjects. These courses are in addition to the graduate courses that the student must take according to the Ph.D. Degree requirements. d. For Ph.D. candidates who get accepted following M.Sc. studies, in addition to other requirements, the students need to complete with satisfactory performance at least three graduate courses, i.e. at least fifteen (15) graduate credits. It should be noted that these instructional units approximately correspond to two semesters of full time study, but usually they are covered in a longer period of time and they overlap with other activities (support work in undergraduate education, research, etc.). e. The progress evaluation of the Ph.D. candidate is done by a three member advisory committee, appointed by the GASC, as defined under Greek Law Ν. 2083/92. f. Following the completion of required coursework, and at the most two years after the initial registration in the Ph.D. program, the Ph.D. candidate needs to give his or her committee a document with an in depth description of the proposed research area, and a documented recommendation of his or her research dissertation topic. Following this step, a presentation and oral examination of the student are done. In case the dissertation topic is rejected by the committee, the student has the right of one additional try within a year from the initial one. In case there is a second rejection, the student looses the status of a Ph.D. candidate. g. During his or her studies, a Ph.D. candidate must give at least two research lectures which are announced to the Technical University of Crete community and are attended by faculty and students. h. According to the provisions of Greek Law N. 2083, article 13, paragraph ζ, at the time when a Ph.D. candidate is at the final stage of completion of his or her doctoral dissertation, a seven (7) member Examination Committee is appointed by the GASC. This committee includes the three (3) members of the advisory committee, as long as they are faculty members, and the remaining four (4), or, on occasion five (5) members are appointed by the GASC. At least three (3) members of the seven member Committee must be at the rank of Professor. The members of the seven member Examination Committee belong to the same or a relevant area of science as that of the candidate s dissertation, and some members can be from a different Department of the same institution or from a different University. 16 ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

19 GRADUATE STUDIES REGULATIONS i. The Ph.D. dissertation must be an original body of research, it has to include notable research results, and it has to demonstrate the Ph.D. candidate s personal contribution. The Ph.D. candidate defends his or her dissertation in public, against the examination committee, which in turn evaluates the originality of the dissertation, as well as whether it constitutes a contribution to science. At least five (5) of the seven members of the Examination Committee have to approve the defense and the doctoral dissertation in order for the Ph.D. candidate to successfully complete the Ph.D. program requirements, in addition to the above requirements. Graduate Studies Regulations The student is allowed to request change of advisor, three member advising committee, or thesis subject by applying to the General Assembly of Special Composition. In case the student's advisor for any reason denies to continue advising the student, after an application to the GASC and upon agreement with the student, the GASC can assign a different advisor and three member advising committee to the student. In any case the GASC will try to resolve the situation. If a student has not completed his/her graduate studies within the time that is determined by the Greek Law, he/she looses the graduate student status, except if he/she applies to the GASC for an extension and the GASC approves it. Obligations of Graduate Students The graduate students of the ECE Department that have registered to the M.Sc. or Ph.D. program have the following obligations. They register to, attend, and are examined successfully in graduate courses of the Department and complete a research M.Sc. thesis or original Ph.D. dissertation, respectively, according to the rules that were described before. They offer support work in undergraduate education (exams, homework and test grading, teaching) which is determined by the instructors of the Department in collaboration with the Secretary of the Department. By the end of every academic year each graduate student prepares an annual progress report which describes the grades he/she received, a description of his/her research work, and the support work to the Department that the student offered during the corresponding academic year. The annual report is submitted to the Graduate Studies Committee within the first ten (10) working days of the following academic year and is approved initially by the GSC and later by the GASC. If a student does not submit the annual progress report by the above deadline or his/her progress is characterized insufficient based on the annual report he/she submitted, the student looses the graduate status. Financial Support Several graduate students are supported with fellowship, according to the budget of the University and the Department. The fellowship lasts for at most one (1) year and is provided upon application of the graduate students and approval by the General Assembly of Special Composition. The financially supported graduate students offer teaching and research support work to the Department (development of projects and recitations, work in research projects), but their main responsibility is their graduate studies. Fellowships are also offered by professors and researchers of the Department, upon application of the interested students to it. The fellows offer research or laboratory work to the professor/researcher. Graduate Courses The following table contains a comprehensive list of the areas of graduate courses that are offered in general by the Department. The courses that are actually offered constitute a subset of the following list and are determined in every semester by the research interests of the Department's faculty members and the graduate students. ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

20 GRADUATE COURSES The Graduate Course Timetable is proposed by the Graduate Studies Committee and approved by the General Assembly of Special Composition. Class attendance is mandatory. The program consists of semester seminar or lecture courses that consist of homeworks, research subjects, presentations, and discussion. Each graduate course is equivalent to five (5) graduate credits. Each student can take a limited number of graduate courses from the Graduate Study Program of a different Department at TUC or another Greek or non Greek university, following the agreement of the student s faculty advisor and the student s three member faculty committee. Course credit from approved courses taken from other Departments can be used towards the required graduate credits for a student s graduation. The approval of graduate courses taken from a different Department s Graduate Study Program is done by the General Assembly of Special Composition (GASC a variant of the General Assembly which deals with graduate and research matters, and in which there is no undergraduate student representation), following the deposit by the student of the relevant paperwork (to demonstrate successful completion of the course, course syllabus, etc.). Each course corresponds to five (5) graduate credits. The maximum number of courses taken by other Departments which can count towards graduation is defined as follows: One (1) graduate course in the M.Sc. program [Option 1]. Three (3) graduate courses for the M.Sc. program [Option 2] or for the Ph.D. program. 2. COMPUTER SCIENCE [ COMP ] The subjects covered in this area are programming principles, algorithms, data structures, programming languages, compilers, operating systems, databases, artificial intelligence, computer graphics, software and simulation technologies. It is covered by the Computer Science Division. 3. ELECTRONICS AND COMPUTER ARCHITECTURE [ ACE ] The subjects covered in this area are the design of analog and digital electrical and electronic systems, computer hardware, computer architecture, microprocessors, real time systems, the implementation of digital microelectronic systems and the development of CAD tools. It is covered by the Electronics and Computer Architecture Division. 4. SYSTEMS [ SYS ] The subjects covered in this area are control systems theory, automatic control, image and voice processing, biomedical engineering and quality control. It is covered by the Systems Division. 5. TELECOMMUNICATIONS [ ΤEL ] The subjects covered in this area are telecommunication systems, telephony systems, antennas, microwaves, information and coding theory, computer communication networks, wireless communication networks, voice recognition and speech processing. It is covered by the Telecommunications Division. In order to facilitate the goals of the graduate study program, as described above, five scientific areas have been defined, under which the graduate courses are offered. These scientific areas are presented below. 1. APPLICATIONS OF THE INFORMATION SOCIETY [ AIS ] The subjects covered in this area are office automation, distributed computing systems, human computer interaction, information systems, and user interfaces. It is covered by the Computer Science Division. 18 ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

21 COURSES OF STUDY Categories Of Graduate Courses Cross-listed with Undergraduate Courses These are courses which are offered in parallel with the corresponding undergraduate course. Graduate students interested in these courses ought to contact their research advisor for approval as well as the course instructor in order to find out additional obligations that they will have for graduate-level course credit. Independent Courses These are self-contained graduate courses. Graduate students interested in these courses must observe the entire course process and syllabus that has been determined by the instructor. Special Topics These are self-contained graduate courses. The material determination is sufficiently broad in order for the instructor to adjust the course to state-ofthe-art developments which evolve very rapidly in the Department s areas of concentration. Graduate students interested in these courses must follow the entire course process and syllabus that has been determined by the instructor. Graduate courses are numbered by the initial letters of the scientific areas that were described above, followed by a three-digit number. The first digit determines the level of the course. For graduate courses the first digit is always 6. The following two digits uniquely identify the graduate course. Courses of Study Division of Computer Science 1. AIS 601 Web Information Systems (Cross listed with AIS 403) 2. COMP 602 Principles of Distributed Systems (Cross listed with COMP 414) 3. AIS 603 Multimedia Management Methods (Cross listed with AIS 404) 4. AIS 604 Information, Semantics and Services in the Web (Cross listed with AIS 412) 5. COMP 605 Artificial Intelligence (Cross listed with COMP 417) 6. AIS 606 Agent based Internet Computing (Cross listed with AIS 413) 7. COMP 607 Machine Vision (Cross listed with COMP 405) 8. COMP 608 Software Engineering (Cross listed with COMP 501) 9. AIS 609 Special Topics in Human Computer Interaction (Cross listed with AIS 502) 10. COMP 610 Advanced Topics in Computer Graphics (Cross listed with COMP 418) 11. COMP 611 Theoretic Topics in Databases 12. COMP 612 Visualization and Virtual Reality 13. COMP 613 Machine Learning 14. COMP 614 Natural Language Processing ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

22 COURSES OF STUDY 15. COMP 615 Mobile Computing 16. COMP 616 Special Topics in Algorithms and Complexity 17. COMP 617 Special Topics in Systems Software 18. AIS 618 Special Topics in Information Systems 19. COMP 619 Special Topics in Artificial Intelligence 20. COMP 620 Special Topics in Software Development 21. AIS 621 Special Topics in Multimedia 22. COMP 622 Special Topics in Databases 23. AIS 623 Economics of the Information Society (Cross listed with AIS 504) 24. AIS 624 Society and Information Technology (Cross listed with AIS 505) 25. COMP 625 Autonomous Agents (Cross listed with COMP 503) 26. COMP 626 Data Management and Processing in Sensor Networks (Cross listed with COMP 506) 27. COMP 627 Approximation Techniques for Massive Databases and Data Streams 28. COMP 628 Multidimensional Data Management Division of Electronics and Computer Architecture 1. ACE 601 Introduction to VLSI System Design (Cross listed with ACE 501) 2. ACE 602 Special Topics in Electric Measurements Systems 3. ACE 603 Biomedical Electronics (Cross listed with ACE 403) 4. ACE 604 Special Topics in Analog CMOS Integrated Circuit Design 5. ACE 612 Microelectronic System Implementation (Cross listed with ACE 412) 6. ACE 613 Parallel and Distributed Computer Architecture (Cross listed with ACE 413) 7. ACE 614 Optoelectronics (Cross listed with ACE 414) 8. ACE 616 Renewable Energy Sources (Cross listed with ACE 416) 9. ACE 620 Development of CAD Tools for the Design of Integrated Circuits 10. ACE 621 Advanced Computer Architecture 11. ACE 622 VLSI System Design 12. ACE 623 Application Specific Processor Architecture 13. ACE 624 Embedded Microelectronic Systems Implementation 14. ACE 625 Packet and Network Processor Architectures 15. ACE 630 Special Topics in Circuit and System Design 16. ACE 631 Special Topics in Reconfigurable Logic 20 ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

23 COURSES OF STUDY 17. ACE 632 Special Topics in Computing Systems Design 18. ACE 633 Special Topics in Power Systems 19. ACE 634 Special topics in Optoelectronic Biomedical Technology 20. ACE 635 Special Topics in Electronic Systems for Energy Management (Cross listed with ACE 528) Division of Systems 1. SYS 601 Industrial Automatic Control Systems (Cross listed with SYS 311) 2. SYS 602 Digital Image Processing (Cross listed with SYS 312) 3. SYS 603 Advanced Topics in Optimal Control 4. SYS 604 Neural Networks 5. SYS 605 Nonlinear Systems 6. SYS 606 Stochastic Control 7. SYS 607 Reliability of Technological Systems and Their Applications 8. SYS 608 Adaptive Control 9. SYS 609 Multivariable and Stochastic Optimization 10. SYS 611 Video Standards and Applications 11. SYS 612 Quality Control in Production Systems in Real Time 12. SYS 613 Programming and Control of Production Systems 13. SYS 614 Principles of Biomedical Systems 14. SYS 616 Special Topics in Biomedicine 15. SYS 617 Special Topics in Linear Systems ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

24 COURSES OF STUDY 16. SYS 618 Special Topics in Digital Control Based on Digital Signal Processors 17. SYS 620 Special Topics in Robotics 18. SYS 621 Special Topics in Adaptive Filters and Applications 19. SYS 622 Special Topics in Automation 20. SYS 623 Special Topics in Fuzzy Logic Division of Telecommunications 1. TEL 601 Probability and Random Processes 2. TEL 602 Telecommunication Systems ΙΙ (Cross listed with TEL 311) 3. TEL 603 Estimation and Detection Theory 4. TEL 604 Statistical Signal Processing for Communications 5. TEL 605 Computer Network Protocols 6. TEL 606 Introduction to Asynchronous Transfer Mode Networks (Cross listed with TEL 525) 7. TEL 607 Advanced Topics in Speech Recognition 8. TEL 608 Information Theory 9. TEL 609 Pattern Recognition 10. TEL 610 Special Topics in Image Processing 11. TEL 611 Coding Theory 12. TEL 612 Convex Optimization 13. TEL 613 Special Topics in Telecommunication Systems 14. TEL 614 Special Topics in Signal and Natural Language Processing 15. TEL 615 Special Topics in Telecommunication Networks 22 ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

25 DESCRIPTION OF GRADUATE COURSES Division of Computer Science Web Information Systems AIS 601 Analysis, design, and implementation of large scale information systems. State of the Art. The role of international standards in the web. HTML, XML, HTTP, Web Browsers, Web Servers, J2EE. The importance of accessing databases from web applications. Architectural principles of web applications: data layer, business logic layer, interface layer. Single tier, client server, multi tier architectures. Basic technologies of web application development: dynamic HTML, Java Scripts, Java Server Pages. Advanced techniques for developing interactive web applications using Ajax. Technologies for Web 2.0. Methodologies for analysis, design, and implementation of applications using the object oriented model: use cases, CRC cards. UML: Class, Sequence, Collaboration, State, Activity, Component, Deployment Diagrams, Stereotypes, Constraints, OCL. Development of structured applications using web application design patterns. BCED patterns, Control layer patterns, Data Access Object, CRUD framework. Design and development of user interfaces in the web. Information structuring and presentation in the web: Document Object Model (DOM), Cascading Style Sheets (CSS). Principles and guidelines for User Interface design. User Interface design rules, design and implementation of special User Interface components (menus, forms, etc.). Color selection, help. Main mistakes in designing user interfaces in the web. Usability analysis methodologies: Interface mock ups, prototypes, interface flow diagrams. Usability analysis from experts with usability evaluation techniques. Methodologies for usability improvement of web applications. Usability engineering. Methodologies for mapping UML object oriented models into relational models. Methodologies for complete application development and their application in web applications: Waterfall Model, unified process, ICONIX methodology. Tools for collaborative development of user interfaces. Principles of Distributed Systems COMP 602 Models and methods for interprocess communication. Sockets, shared memory, group communication, remote procedure calls, distributed objects. Basic network programming. Sessions. Protocols. Distributed system architectures: client server, multi tier architecture, mediators, code migration, agent systems, peer to peer networks. Overview of CORBA, using CORBA IDL. Naming and addressing: names, physical and logical addresses, name services, DNS. Directory services, LDAP. Service oriented architecture. Distributed algorithms: Models, algorithms with coordinator. Time in distributed systems. Causality. Lamport's theorem. Lamport clocks, vector clocks. Global state and snapshots. Basic algorithms without coordinator: leader election, mutual exclusion, byzantine agreement. Search algorithms: distributed data structures, search in peer to peer networks, distributed hash tables. Reliability: fault tolerance, backups, replication. Distributed transactions, two and three phase commit protocols. Security: Authentication and authorization. Elements of cryptography. Symmetric and asymmetric ciphers. Digital signatures and PKI. The SSL protocol. The Kerberos system. Multimedia Management Methods AIS 603 Processing, archiving, and searching multimedia information including documents, one dimensional signals, still and moving images (video) in information systems and the Internet. Classic models of information retrieval (binary, relational, probabilistic), information clustering and clustering algorithms (partitional, hierarchical, hybrid algorithms), clustering applications grouping in document collections. Visualization of one dimensional signals and images in multimedia systems. Feature extraction (color, texture, shape, and spatial relationships) from images. Retrieval methods for one dimensional signals and images. Indexing techniques in information systems for documents and multimedia information (inverted files, k d rees, grid files, R trees). Design of information systems on the Internet, management and analysis of information on the Internet (PageRank and HITS methods). Basic processing techniques and analysis of still and moving images (video) in information systems. Compression techniques, JPEG, MPEG 1, 2, 4, 7 standards. Video segmentation into shots, shot aggregates. Information, Semantics and Services in the Web AIS 604 Information models for the web, information integration from independent enterprises. XML, XML ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

26 DESCRIPTION OF GRADUATE COURSES Schema, XSL, XQUERY. Web Information Management: Exchanging, Parsing, Storage, Indexing, Querying: XML Processing Technologies, and XML Databases. Web Services. Concepts and Applications: Basic service standards: XML, SOAP, WSDL, UDDI, REST Full Web Services and the Web 2.0. Web Service Integration Models: Orchestration, Composition, Choreography. Service Management, Service Oriented Architectures (SOA), Event Based Architectures. Business processes and the B2B scenario in the Web. Business Process Engineering, Workflow Modeling, and Implementation: BPMN, WS BPEL, BPEL4People, WS CDL. Business Process Management: Long Living Processes, B2B Transactions. Semantic Web. Ontologies and ontology languages: Introduction to Description Logics and relationship with conceptual modeling and data bases. RDF, RDFS, OWL, SPARQL. Categorization of ontologies, top level, linguistic, domain. Ontological engineering, ontology learning, ontology reconciliation, mapping and merging ontologies. Implementation of large Semantic Web Applications on databases. Web applications, standards and ontologies; semantic models for multimedia, elearning, digital libraries, telecommunication applications. Artificial Intelligence COMP 605 Foundation and history of Artificial Intelligence. Intelligent agents and environments. Systematic search methods: uninformed, informed, heuristic. Local search methods. Constraint satisfaction problems and algorithms. Basic game theory and adversarial search. Propositional logic, first order logic, reasoning, inference algorithms. Knowledge representation and knowledge bases. Reasoning systems, theorem provers, logic programming. Planning problems and algorithms. Planning in the real world and multi agent planning. Agent based Internet Computing AIS 606 Agents and multi agent systems. Languages and protocols for communication. Distributed problem solving. Mobile agents. Methodologies for developing multi agent systems. Personal agents. Information agents. Internet applications (information retrieval, filtering and dissemination). Economic agents and electronic commerce. Applications (business process management, network management). Machine Vision COMP 607 Basic principles and methodology of machine vision with emphasis on algorithms and applications of machine vision. Image formation, mathematical, geometric, colour, frequentist, discrete models. Basic image processing techniques (filtering, enhancement, normalization). Edge detection, first and second derivative operators. Image segmentation, methods for segmenting or enhancing regions and edges, thresholding techniques. Advanced segmentation techniques (merging and splitting regions and edges, relaxed ordering, Hough technique). Techniques for processing binary images, distance transforms, morphological operators, and region labeling. Analysis, representation, and recognition of images. Representation of edges and regions, representation and recognition of shapes, representation and recognition of structural content. Texture analysis and recognition, structural and statistical methods. Dynamic vision, estimation of motion, optical flow, and trajectory. Software Engineering COMP 608 Software processes. Management of procedures for building large software systems. Risk analysis and risk management. Issues of organization and staffing. Analysis and requirements setting. Techniques for software development with emphasis on object oriented methods and UML. Design patterns and frameworks. Version control. Software testing. Certification and quality assurance. Software maintenance and product delivery strategies. Special Topics in Human Computer Interaction AIS 609 The goal of this course is to present the principles and methods of evaluating human computer interaction. Cognitive models, perception, vision, attention and memory workload, knowledge acquisition evaluation. Technologies and interactive methods. Advantages and disadvantages of such methods. Interaction interfaces (menu based, natural language, forms, etc). Principles of interaction design. Usability evaluation metrics. Techniques for assessing usability and interactive tools. Implementation and evaluation of 3D applications in relation to users. Statistics. 24 ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

27 DESCRIPTION OF GRADUATE COURSES Advanced Topics in Computer Graphics COMP 610 Rendering equations optimized with perception models. Local and global models of diffuse and specular radiant energy. Photorealistic algorithms optimized with computational image quality metrics. Input and output devices and virtual reality systems. Advanced topics on ergonomics for simulation engineering. Advanced research on Ray tracing, radiosity, antialiasing, animation, visualization. Optimizations of algorithms based on perception models. Computational image quality metrics. Selective rendering. Colour matching functions and perceptually based rendering. Perceptually based image quality metrics. Presence. Fidelity metrics from immersive simulations. Simulation Engineering. Theoretic Topics in Databases COMP 611 This course covers traditional and modern topics of databases with emphasis on their theoretical foundation. Tools from math logic and algorithm theory are used. The covered topics are: Relational model and first order logic, query languages and their semantics (relational algebra, calculus, Datalog and variations), computational complexity of the query answering problem, theoretical query optimization problems (minimization, equivalence etc). Databases with constraints, databases with incomplete information. Theoretical topics on unified access of databases and mediators. Theoretical topics on XML models and query languages for XML. Theoretical topics on RDF/Telos models and query languages for RDF/Telos. Theoretical topics on ontologies and relational languages (DML+OIL etc). Visualization and Virtual Reality COMP 612 This course includes the basic technological principles of visualization and virtual reality systems. Moreover, it includes the appropriate software libraries towards implementing virtual reality systems. The lectures focus on the capabilities and restrictions of virtual reality systems, Simulation and human factors engineering, Immersive VR, Software (VRML, Blender, 3D Studio Max, Octaga, Java API), 3D visualization, 3D computer graphics, clipping, sensors, cameras, shadows, depth, texture, volume, 3D objects, rendering. Input and output devices for virtual reality systems (head mounted displays, trackers, displays). Virtual reality applications (industrial, ergonomics, architectural visualization), Medicine, Entertainments, Art (virtual museums, virtual art exhibitions). Machine Learning COMP 613 Basic concepts of machine learning and statistics. Supervised learning: least mean squares (LMS), logistic regression, perceptron, Gaussian discriminant analysis, naive Bayes, support vector machines, model selection and feature selection, ensemble methods (bagging, boosting). Learning theory: bias/variance tradeoff, union and Chernoff/Hoeffding bounds, VC dimension. Unsupervised learning: clustering, k means, EM, mixture of Gaussians, factor analysis, principal components analysis (PCA), independent components analysis (ICA). Reinforcement learning: Markov decision processes (MDPs), Bellman equations, value iteration, policy iteration, value function and policy approximation, least squares methods, reinforcement learning algorithms, partially observable MDPs (POMDPs), algorithms for POMDPs. Natural Language Processing COMP 614 The course focuses in the following areas: Mathematical background. Basic elements of natural language processing. Syntax models. N grams and language models. Word classes. Part of speech tagging. Syntactic analysis and context free grammars. Semantic analysis and representation. Natural language generation. Multilingual language processing. Machine translation. Mobile Computing COMP 615 Architecture of network systems for mobile computing. Mobile computing systems and application performance criteria. Information broadcasting models and architectures. Calculations and context knowledge models and architectures. Transaction processing algorithms in mobile information systems architecture in the presence of interruptions. Design and methodologies for the development of information systems for mobile computing. Special Topics in Algorithms and Complexity COMP 616 Advanced topics in Algorithms and Complexity emphasizing on specific related research areas and related areas of interdisciplinary research. ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

28 DESCRIPTION OF GRADUATE COURSES Special Topics in Systems Software COMP 617 The aim of this course is to familiarize with the basic principles of low level systems software development. The emphasis of this course is in programming assignments that will implement well defined (but nontrivial) systems such as: System threads implementation at user level, communication protocol implementation, system driver implementation, embedded system control program implementation. The lectures analyze in depth issues such as: Virtual memory, kernel structures, processes synchronization and threads connections, processes communication, storage, file systems, fault tolerance, distributed systems, system security. Special Topics in Information Systems AIS 618 Advanced topics in information modeling and organization: metadata outologies, contexts, digital libraries. Advanced topics in information retrieval, navigation, and finding: Advance information retrieval, interfaces for information browsing, the design of crawlers in the web. Advanced topics in information transformation and cleaning: transforms, wrappers, model based transforms. Cooperative information systems. Information promotion models (push vs. pull vs. stereotype models). Models of information systems for user communities. Models of filtering information from societies. Trust building models. Special Topics in Artificial Intelligence COMP 619 Advanced topics in Artificial Intelligence emphasizing on specific related research areas and related areas of interdisciplinary research. Special Topics in Software Development COMP 620 Modern topics in information systems with emphasis on software and legacy systems re engineering, requirements engineering, business process modeling and re engineering. Special Topics in Multimedia AIS 621 Topics in multimedia processing (static image, video, voice, text, metadata) such as compression and coding with emphasis on MPEG standards and the use of multimedia in the web (systems architectures, web search algorithms, systems performance, data update compatibility). Query languages, relevance feedback, query types (range queries, nearest neighbor queries), data mining. Special Topics in Databases COMP 622 This course covers a selection of the following topics: Design and implementation issues in databases. Design and implementation of relational systems. Design and implementation of object oriented systems. XML databases. Query optimization in databases. Optimizing the performance of applications with design at the physical level, cost optimization for transactions, recovery. Distributed databases. Data Warehousing. Data mining on databases. Continuous Databases. Economics of the Information Society AIS 623 The industry of the Information Society and the basic principles for starting and running successful businesses in this domain. The environment of high tech industries and the environment of the information industry. Basic principles and procedures for the creation of a start up company in the information domain, emphasizing creativity and technological innovation, focus on goals, opportunity and timing, technology development, marketing, financing, creation of partnerships. The economics of information, information cost, information pricing, business plans, financing, targets of opportunity, market planning, product planning, management of research and development, marketing, sales management, legal coverage for intellectual property rights on information, management and organization of human resources for delivering products and services. The influence of the Internet to the information industry. Market models for producing and distributing products in the market. Society and Information Technology AIS 624 The importance of spreading information and communication technologies and their applications in society, the restructuring of societies, organizations and businesses, the risks of their misuse, and the legal framework (Greek and European) which governs the operation of enterprises and organizations. Applications of information technology in society: 26 ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

29 DESCRIPTION OF GRADUATE COURSES e government, e commerce, e tourism, e health, e learning, e services, environmental monitoring. Integrated television and Internet services and applications. Basic principles of protection of personal information and individual rights, productivity, quality of work, monitoring, user communities, preservation of social groups. Mechanisms of encryption and security of personal data. Automation of business operations. Patents, intellectual property rights, ways of protecting and exploiting multimedia and software products. Legislation (Greek and European) for the operation and collaboration of businesses in research, creation, and marketing of multimedia products and information technology. Autonomous Agents COMP 625 Agents and environments, uncertainty and probability, probabilistic reasoning. Bayesian networks, exact and approximate inference in Bayesian networks, enumeration and sampling algorithms. Temporal probabilistic reasoning (filtering, prediction, smoothing, most likely sequence), dynamic Bayesian networks. Mobile robot navigation: motion control, path planning, localization, mapping, simultaneous localization and mapping (SLAM). Decision making under uncertainty, Markov decision processes, optimal policies, value iteration, policy iteration. Reinforcement learning, prediction and control, basic and advanced reinforcement learning algorithms. Multi agents systems, game theory, multi agent coordination, coordinated learning. Applications to autonomous robotic agents and laboratory instruction of robot programming tools. Data Management and Processing in Sensor Networks COMP 626 Sensor nodes: Characteristics, constraints. Sensor network applications. Distributed data processing in sensor networks. Continuous Queries. Types of continuous queries and their characteristics. Query Languages. Data collection techniques (pull based and push based). Data storage, indexing and search techniques. Aggregation tree. Synchronization and data transmission. Different techniques of forming the aggregation tree. Distributed sensor (self) organization. Approximate queries in sensor networks. Observing moving objects. Information loss and duplicate calculation of information: means of handling such issues. Quality of sensor measurements. Ways of isolating and removing spurious measurements. Approximation Techniques for Massive Databases and Data Streams COMP 627 Techniques for effective compression of large amounts of data: sampling, histograms, wavelets. Approximate processing techniques. Data streams: basic models, problems and applications. Algorithms for processing data streams: stream sampling (reservoir and min wise sampling), data stream sketches (AMS, FM stream sketching). Advanced issues: approximation techniques for XML data, techniques for distributed data streams, probabilistic data and data streams, graph and text streams. Multidimensional Data Management COMP 628 Multidimensional data: raster and vector representations, abstract data types, standard formats. Management of large datasets, performance issues. Storage and retrieval of data in main memory and hard disks. Main applications: GIS, CAD, graphics. Introduction to spatio temporal databases, data models, languages for spatial, topological and temporal queries. Basic 2 d and 3 d geometry, coordinate systems, elements of cartography. Computational geometry, convex hull algorithms, triangulation, data structures for point location and segment intersection. Geometric data structures, range search, nearest neighbors, special cases, external data structures, distributed data structures. Query processing algorithms. High dimensional data processing, metric spaces, similarity metrics, optimization problems, linear programming. Division of Electronics and Computer Architecture Introduction to VLSI System Design ACE 601 Very Large Scale Integration (VLSI) circuit technology, Field Effect Transistor (FET) principles, processing technologies, design under scale, design flows and design rules. Basics of ratioed logic. Circuit and digital logic design of Complementary Metal Oxide Semiconductor (CMOS) circuits. The pass transistor and the CMOS switch, logic gates in fully complementary logic. Design methodology for Application Specific ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

30 DESCRIPTION OF GRADUATE COURSES Integrated Circuits (ASIC) and system design issues. Dynamic logic with precharge/evaluate circuits. Sequential logic with 2 phase and multi phase clocks. Static and dynamic RAM design. Power distribution and clock distribution methodologies. Special Topics in Electric Measurements Systems ACE 602 Sensors transducers detectors (applications, characteristics, selection, classification). Structure of a measurement system, signal conditioning, linearization. Special topics in measurement of temperature, position, displacement, level, speed, acceleration, force, torque, pressure, flow, current, light and sun irradiation. Optical detectors, advanced transducers, chemical and biochemical sensors. Special topics in electromagnetic influence on sensors and measurement equipment. Analog signal processing, instrumentation amplifiers, isolation amplifiers, chopper amplifiers, programmable gain amplifiers. Special topics in multiplexing and sampling, A/D and D/A converters, data acquisition, processing systems and dataloggers. Sensor networks and communication protocols. Application on automation and design examples. Reference voltage circuits. Smart sensors, wireless sensors. Data fusion theory, error analysis and measurement processing theory. Measurement instruments. Biomedical Electronics ACE 603 Introduction to human physiology, biosignal production mechanisms, electrical, magnetic and optical properties of biological tissues and systems, interaction of electromagnetic radiation with tissues, bio electrodes, electrochemical sensors, photonic sensors, bio analytical sensors, implantable micro sensors, ionizing and non ionizing methods and devices for medical diagnosis and treatment, medical lasers, safety and compliance regulations of medical technology. Special Topics in Analog CMOS Integrated Circuit Design ACE 604 Modern Introduction to radio frequency integrated circuit (RFIC) design. Introduction to nanoscale CMOS technology. Scaling according to Moore s law, roadmap of semiconductors. Bulk silicon MOSFET, new structures: SOI, double gate, FinFET. High Voltage (HVMOS), Laterally Diffused (LDMOSFET) for high voltage high power application. Model design kits for IC design. Advanced charge based and surface potential based MOSFET compact models (EKV3, PSP). High frequency characterization and compact modeling of devices at RF. High frequency noise parameters. Principles of analog RF integrated circuit design. Design examples for wireless transmitters, building blocks: low noise amplifiers (LNA), mixers, voltage controlled oscillators (VCO), power amplifiers (PA). Microelectronic System Implementation ACE 612 Design and implementation methodology, rapid system prototyping (RSP), the waterfall model. Project management with PERT and GANTT charts, system cost and time to market issues. System decomposition and partitioning, top down and bottom up design methodologies. Subsystem reusability, intellectual property (IP) cores, technology mapping, special purpose architectures. Power analysis, thermal analysis, design for reliability. Intellectual property protection, patents, trade secrets. How to proceed from an initial idea to a final product, startup company issues. Semester project. Parallel and Distributed Computer Architecture ACE 613 Introduction to parallel computer architectures: SIMD, MIMD execution models, shared memory, message passing, computer interconnection networks. Shared memory architectures, cache memories, cache coherence, snooping and directory techniques. Memory consistency models. Redundancy techniques for locality exploitation. Networks and clusters of workstations as parallel computers. Parallel input/output systems. Optoelectronics ACE 614 Elements of optics and solid state physics, modulation of light, display devices, Lasers and applications, photodetectors, fiber optics, optical communication systems, advanced topics on optoelectronics. Renewable Energy Sources ACE 616 Introduction to the energy problem. Renewable energy sources categories. Wind energy (wind velocity measurement, estimation of the Weibull distribution parameters, types and operation principles of wind turbines, types and operation principles of electrical generators, 28 ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

31 DESCRIPTION OF GRADUATE COURSES interconnection with the power grid, autonomous operation, power absorption maximization). Solar energy, incident solar energy calculations, solar thermal systems, passive solar systems, applications. Photovoltaic solar plants (basic principles, crystalline PV cells, thin film PVs, electrical characteristics of silicon PV cells, autonomous PV systems, grid connected PV systems, maximum power tracking systems, inverters, fundamentals of industrial electronics). Small hydro plants. Electric energy storage systems (batteries, pump storage hydro systems, fuel cells, etc.). Geothermal energy. Biomass. Tidal energy. RES applications. RES legislation elements. Environmental impact of RES. Development of CAD Tools for the Design of Integrated Circuits ACE 620 Analysis and Design of algorithms for automatic synthesis, timing analysis, logic simulation, place and route, extraction and schematics entry. Presentation of the data structures needed for the implementations of those algorithms and the corresponding open research problems. The course project will involve the implementation one of the algorithms presented in the course. Advanced Computer Architecture ACE 621 Advanced topics in computer architecture: in depth exploration of instruction level parallel architectures: super scalar (in or out of order, VLIW and EPIC, multiscalar, multi threading and simultaneous multi threading. Branch and data prediction. Clustered micro architectures for higher frequency and low power consumption. Network Interface Processor integration for parallel computers. High performance cache and memory system architectures, high performance memory and bus interfaces. Low power/energy architectures. Case study and comparison of the latest microprocessors. VLSI System Design ACE 622 Advanced VLSI circuit design, dynamic logic and clock distribution circuit design for advanced logic families, interconnection analysis and synthesis methodology, sequential circuit retiming, memory and register file circuit design, I/O and tri state pad and pad frame design. Design methodologies for maximum performance, minimum area, and lowest power consumption and tradeoff evaluation in VLSI system design. Semester Project. Application Specific Processor Architecture ACE 623 The need for special purpose architectures. Examples from applications including compression, cryptography, image processing, real time systems. Implementation technologies including Digital Signal Processors (DSP), Field Programmable Gate Arrays (FPGA), Very Large Scale Integration (VLSI) and conventional processors in unconventional systems (e.g. Deep Blue). Algorithm analysis and problem mapping to special purpose architectures. Spatial and temporal parallelism. Pipelining, super pipelining and systolic array architectures. Software hardware codesign, I/O of application specific architectures, case studies. Semester project. Embedded Microelectronic Systems Implementation ACE 624 Introduction, definitions. Available technologies, ranging from 8 bit microcontrollers to reconfigurable logic with millions of gates. Design parameters and need for embedded systems, such as cost issues, power consumption, size, on/off line processing, I/O. Simultaneous exploitation of multiple technologies (e.g. VLSI, FPGA, embedded processors) in integrated systems (e.g. Triscend). Integrated products (e.g. Crusoe) and IP cores for embedded systems. Case studies. Semester project. Packet and Network Processor Architectures ACE 625 Packet processing, flow classification sub systems, packet scheduling, packet routing and buffering, high level protocol execution. Customized architectures, balance between computational power and line speed. Parallel packet processing and its consequences on hardware design. Multi level queue management, mapping of network protocols into hardware, HW/SW codesign. High performance memory interfaces for packet buffering, routing tables, etc. Special Topics in Circuit and System Design ACE 630 Analysis and synthesis of VLSI circuits and CAD tools based on state of the art technology and applied to open research problems. Case studies. Semester project. ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

32 DESCRIPTION OF GRADUATE COURSES Special Topics in Reconfigurable Logic ACE 631 Introduction, definitions, Reconfigurable logic as a means of computations. Historical examples (Splash 2, RaPiD, Piperench) and areas of applications (DNA sequencing, discrete mathematics problems, image processing, speech processing, etc.). Comparison of FPGA systems with other implementation technologies (DSP, VLSI and conventional computers). Evolution of CAD tools for synthesis and place and route of reconfigurable designs. Evolution of FPGA architectures. Granularity of subsystems and large hardcore subsystems (Embedded processors, BRAM, CAM, PLL/DLL, etc.). Dynamic reconfiguration and partial reconfiguration opportunities and limitations. Semester project. Special Topics in Computing Systems Design ACE 632 Advanced techniques of design and implementation of computing systems. High speed interfaces and buses, multi level memory hierarchy design, I/O issues. Balanced designs, benchmarks and their effect on computing system design. Special purpose processors, multimedia processors, supercomputers. Challenges in the design of computing systems, performance, efficiency, power consumption, expandability, ease of effective use issues. Examples from grid computers with hands on mapping of applications to grid systems. Semester project. Special Topics in Power Systems ACE 633 Electric energy production, transmission and distribution. Electric machines, motors and generators, transformers, electric energy installations, energy management systems, energy saving systems, industrial electronic and control systems, energy storage systems, advanced applications. Deliberated electricity market, legislation and environmental issues of power systems. Special topics in Optoelectronic Biomedical Technology ACE 634 Structure and functionality of tissues, light tissue interaction mechanisms, spectroscopic techniques and devices, tissue spectroscopy, medical microscopes and endoscopes, medical Lasers, novel optical imaging methods and devices, (hyper ) spectral imaging, optical tomography, optical biopsy, optical molecular imaging. Special Topics in Electronic Systems for Energy Management ACE 635 Intelligent buildings and advanced systems for building networking (indicative: EIBUS, LON protocol, BACNET). Building energy and environmental parameters measurement, sensors, actuators, interfaces and controllers for building energy and environmental parameters. Computational models for energy analysis of buildings. Artificial intelligence techniques for distributed control in buildings. Applications. Division of Systems Industrial Automatic Control Systems SYS 601 Modern techniques in the management of interconnected and isolated renewable energy sources. Large scale energy storage systems. Techniques of industrial energy management. Energy management in transportation systems. New technologies in the energy management. Information systems in energy management. Applications. Digital Image Processing SYS 602 Similar to the corresponding undergraduate course, with more requirements. General principles on image creation and recording. Mathematical description of digital images, color representation, sampling. Two dimensional transforms, vectors and vector operators. Image enhancement, smoothing and contrast increase. Image reconstruction with algebraic and stochastic methods, optimal filters. Image segmentation and coding. Advanced Topics in Optimal Control SYS 603 Non linear optimization theory constrained and unconstrained. Introduction to the calculus of variations for the minimization of functionals under various boundary conditions. Functionals optimization for non linear dynamic systems applications. Application to the solution of the general non linear multivariate optimal control problem with constraints. Presentation of the Pontryagin maximum principle. 30 ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

33 DESCRIPTION OF GRADUATE COURSES Application to derive the necessary conditions of optimality for non linear and linear multivariate dynamic systems with non linear and /or linear quadratic objective function. Solution of the matrix Ricati differential equation. Estimation theory. Multivariate recursive least squares. Applications to the identification of dynamic systems unknown parameters. Multivariate Kalman filter. Optimal stochastic control. Technological and industrial applications. Neural Networks SYS 604 We present the basic architectures of neural networks (perceptron, madaline, backpropagation, RBF, Hopfield etc.). Their operations are analyzed in their use for classification, system identification, prediction, associative memories, etc. Supervised and unsupervised learning laws are given. Nonlinear Systems SYS 605 Introduction to the theory of non linear dynamical systems [with their state space description by non linear differential equations], and their study concerning existence and multiplicity of their solutions and their stability. Phase Plane and limit cycles. Input output stability and Lyapunov stability via the use of nonlinear operators. Applications in robots and their dynamical equations. Introduction to the geometric theory of differentiable manifolds and use of non linear geometry to the analysis and design of nonlinear systems. Stochastic Control SYS 606 Stochastic processes and stochastic models. Dynamic programming and discrete time problem. Systems governed by stochastic signals. Stochastic LQG problems with Gaussian white noise. Separation of estimation and control. Theory of continuous stochastic differential equations and the innovation process. Continuous time domain, behavior and solution of LQG. Applications in real stochastic dynamical systems, e.g. robotic systems with unknown parameters, robot motion control in unknown environments etc. Reliability of Technological Systems and Their Applications SYS 607 Introduction to reliability theory. Reliability indices. Statistical estimation of reliability indices. Markov methods, event trees, failure tree for the analysis of systems reliability. Applications in electrical energy systems, reliability hardware, software and reliability of communication systems. Adaptive Control SYS 608 Introduction to adaptive control, dynamical systems models, definition of stability, input output stability, Lyapunov stability, parameter estimation and system identification in real time with adaptive methods, linear, bilinear models, parameter estimators, adaptive observers, model reference adaptive control, model reference pole placement, robust adaptive laws, robust adaptive control laws, special software for adaptive systems, applications in industrial systems. Multivariable and Stochastic Optimization SYS 609 Introduction to optimization. Linear and Non linear problems. Unconstrained optimization. Constrained optimization. Gradient descent methods. Relationship between deterministic functional and stochastic dynamical models. Markov random fields. Gibbs distributions. Maximum likelihood and maximum a posteriori parameter estimation. Average minimization algorithms and applications. Video Standards and Applications SYS 611 Image coding and compression, video standards, stochastic models for image estimation, movement computation in image and video time series, 3D models, projections and transverse sections, image registration and fusion. Creation and processing of panoramic images/video. Quality Control in Production Systems in Real Time SYS 612 Use of management tools in quality. Technical quality tools, design and analysis of experiments, On line techniques for quality control, Statistical Production Control, CUSUM diagrams, off line quality control, Taguchi methods. The quality cost function, Feedback on line quality control, automatic failure detection, methods of continuous quality improvement, total quality management. The ISO Programming and Control of Production Systems SYS 613 Industrial production systems, Scheduling and control. Cost reduction with quality improvement. Use ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

34 DESCRIPTION OF GRADUATE COURSES of integrated systems. Use of commercial systems. SIMPLE++. Industrial systems simulation. Use of Operations research methods. Control methods. Adaptive methods. Applications in industry. Principles of Biomedical Systems SYS 614 Ionizing and non ionizing radiation systems, ultrasounds, wave propagation, effects in liquids and tissue, principles and devices for radiation detection, X ray Computerized Tomography (CT), MRI (Magnetic Resonance Imaging) and NMR (Nuclear Magnetic Resonance Principles and devices. Special Topics in Biomedicine SYS 616 Acquisition, processing and analysis of medical images; image reconstruction from CT signals. 2D projections and Radon transforms; analysis of MRI Fourier signal and MRI image reconstruction; Ultrasound wave transmission and image formation of tissue matter; geometrical correction and registration of multimodal images. Special Topics in Linear Systems SYS 617 Advanced theory and applications of linear systems using advanced linear algebra. Theoretical introduction and in depth study of the theory of linear systems using semigroup theory. Structure analysis, controllability and observability, Kalman realization principle in state space domain. Multivariable systems. Rosenbrock s multivariable transfer function systems. Polynomial matrices, matrix fraction descriptions (MFD s). Elementary divisors and Smith Mc Millan canonical form. Special Topics in Digital Control Based on Digital Signal Processors SYS 618 Digital control systems and their implementations using the modern architecture of floating point signal processors. Theoretical and practical aspects. Industrial applications such as disk drive control, robot control, ABS and ESP automobile control. Special Topics in Robotics SYS 620 Introduction to robotic systems, robotic manipulators, kinematics and dynamics. Robot programming languages analysis and design. Control of robot manipulators. Autonomy, flexibility, robustness of robotic systems. Sensors, knowledge representation. Problems and applications. Special Topics in Adaptive Filters and Applications SYS 621 This course covers the design and applications of adaptive filters. It contains basic and advanced algorithms for the design of adaptive filters and their implementation using contemporary hardware and software. Emphasis is placed on actual applications of industrial interest such as adaptive equalization, automatic gain control, etc. Special Topics in Automation SYS 622 Nonlinear adaptive control systems. Special Topics in Fuzzy Logic SYS 623 Modern applications of fuzzy logic in industrial applications. Division of Telecommunications Probability and Random Processes TEL 601 Axioms of probability, independence, conditional probability, random variables, distribution. Expectation, functions of a random variable, joint and conditional densities. Convergence of random sequences, limit theorems, Chernoff bound, Markov/Chebyshev/Jensen inequalities, the weak and strong laws of large numbers. Random vectors, covariance and correlation, transformation of random vectors, Gaussian vectors. Likelihood, ML estimation, MMSE estimation, bias, Cramer Rao bound. Random processes, correlation functions, stationarity, joint properties of random processes. Bernoulli process, Poisson process, random walk, Brownian motion. Linear systems with random inputs, spectral analysis and estimation. Baseband/narrowband processes, optimal linear systems, Wiener filter, Kalman filter. Markov chain, limiting behavior, application to queuing theory, hidden Markov models. Markov process, birth and death process, renewal process, semi Markov process. Telecommunication Systems ΙΙ TEL 602 Elements of Probability Theory (brief presentation). Stochastic processes, mean, autocorrelation function. Stationary stochastic processes, power spectral density, sampling. Stationary stochastic 32 ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

35 DESCRIPTION OF GRADUATE COURSES processes and linear time invariant systems. Cyclostationary processes. Power spectral density of cyclostationary processes. Signal transmission through a bandlimited channel, intersymbol interference, Nyquist pulses. Optimal receivers for ideal bandlimited channels, square root raised cosine pulses. Least squares, channel estimation. Linear Equalization, equalization Viterbi. Adaptive algorithms, adaptive equalization, LMS algorithm. Phase synchronization (Phase Locked Loop, PLL). Symbol synchronization. Frame synchronization. Lowpass equivalent representation of signals and channels. Elements of information theory (entropy, mutual information), channel capacity. Link budget. Estimation and Detection Theory TEL 603 Introduction to estimation theory. Minimum variance unbiased estimation (MVUE). The Cramer Rao lower bound (CRLB). Linear models. Best linear unbiased estimation (BLUE). Sufficient statistics. Maximum Likelihood Estimation (MLE). Least squares estimation. Method of moments. Bayesian estimation. Linear MMSE estimation. Introduction to detection theory. Hypothesis testing: simple hypothesis testing (Bayes, minimax, and Neyman Pearson decision criteria), composite hypothesis testing (generalized likelihood ratio). Detection of signal in noise, detection of signal with unwanted parameters. Statistical Signal Processing for Communications TEL 604 Review of linear algebra tools: rank, span, nullspace, Sylvester's inequality, eigenvalue decomposition of general square and Hermitian matrices, singular value decomposition, properties and applications. Rayleigh quotient, quadratic minimization, matrix inversion Lemma. Spectral analysis: power spectral density, the periodogram estimator and its statistical properties. Line spectra estimation: parametric methods and applications in wireless communications and array processing. Adaptive filtering: Gradient descent, LMS, RLS and convergence analysis. Applications of adaptive filtering in channel equalization. Computer Network Protocols TEL 605 Introduction to Computer Communication Networks modelling using results from Queuing Theory (Little s result, the Markovian Queues M/M/1, M/M/m/m, the M/G/1 queue with generalized customer service time distribution and the M/G/1 queue with server vacations, priority queues, Jackson type open queuing networks). Design, modelling and performance evaluation of multiple access protocols and transmission scheduling algorithms for: 1) wireless voice/data/video integrated access networks, 2) packet radio networks and 3) wireline broadband local/metropolitan area networks and wireless local area networks. Introduction to Asynchronous Transfer Mode Networks TEL 606 Brief introduction to Computer Communication Networks modelling using results from Queuing Theory. Broadband Integrated Services Digital Networks, the Asynchronous Transfer Mode. Characterization of information sources in ATM networks and source traffic models. Quality of Service metrics. Traffic Management in ATM networks (admission control, traffic policing, congestion control). Routing in ATM networks. Switching in ATM networks (switch architectures, Banyan switches and their performance evaluation). Advanced Topics in Speech Recognition TEL 607 Bayes decision theory and statistical pattern recognition. Classifier types and parameter estimation methods. Maximum likelihood estimation and the Expectation Maximization algorithm. Bayesian estimation, discriminative training, maximum mutual information estimation and minimum error rate estimation. Statistical acoustic modeling: hidden Markov models, dynamical systems and Bayesian networks. Statistical inference and optimal search algorithms. Adaptive estimation algorithms with applications in speaker adaptation and robust speech recognition. Statistical language modeling and parameter estimation. Basic search algorithms and large vocabulary search algorithms for speech recognition. Information Theory TEL 608 Entropy, relative entropy, mutual information: definitions, properties. Data processing inequality, Fano inequality. Entropy rate of stochastic processes. ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

36 DESCRIPTION OF GRADUATE COURSES Typical sequences, asymptotic equipartition principle. Kraft inequality, Huffman code. Code, information capacity: definitions. Jointly typical sequences. Discrete memoryless channel (DMC), Shannon theorem for DMC (achievability converse). DMC capacity with feedback. Separation of source channel coding. Differential entropy: definition, properties, AWGN channel: definition, capacity, capacity of bandlimited channels, parallel AWGN channels, water filling, Gaussian feedback channels. Fading Gaussian channels, ergodic capacity, ε outage capacity. Elements of network information theory: MAC, broadcast channels. Pattern Recognition TEL 609 From pattern to feature spaces. Signal projection/transformation for feature extraction. Feature elimination and feature selection in transform spaces. Basic principles of clustering and classification. Training and testing; overtraining and generalization. Validation methods. Cross validation with data replacement; boosting and bagging. Template matching approaches. Bayesian methods for parameter estimation (Max Likelihood, Expectation maximization, Max aposteriori). Supervised and unsupervised training. Linear, Nonlinear and stochastic methods in pattern recognition. Neural networks and fuzzy logic; applications in classification. Special Topics in Image Processing TEL 610 Camera and image acquisition. Multichannel, Color and Multiresolution images. Characteristics of color, shape and texture for statistical region segmentation. Image representation and processing in vector spaces. Image projection onto subbands and wavelet transforms. Processing and analysis of multichannel images. Mathematical morphology and neural networks in image processing. Coding Theory TEL 611 Introduction to algebraic codes: (a) Short introduction to algebra (groups, fields, polynomials and Euclidean algorithm, structure of finite fields), (b) Reed Solomon and Bose Chaudhuri Hocquenhem codes (description of the structure of algebraic codes and their decoding through algorithms by Berlekamp Welsh, Sudan, and Koetter Vardy). Introduction to recursive codes (LPDC, low parity density codes, and turbo): (a) Recursive coding for the binary erasure channel, (b) Structure of recursive Gallager codes, repeat accumulate codes, and parallel concatenated Turbo codes, (c) Decoding of Gallager codes through message passing, and (d) The algorithm BCJR. Convex Optimization TEL 612 Convex functions and their properties; convex optimization problems and examples. Linear programming, linear fractional programming, quadratic optimization, quadratically constrained quadratic programming, second order cone programming. Geometric programming, semi definite programming. Duality: Lagrange dual and KKT conditions. Unconstrained convex minimization: descent direction, line search, gradient descent, steepest descent, Newton s method, damped Newton method, quasi Newton methods. Convergence and complexity results. Interior point algorithms. Lagrangian relaxation of non convex problems. Applications in signal processing, communications, networking are discussed throughout the course; application examples include power control, max flow min cut, beamforming, MIMO detection. Special Topics in Telecommunication Systems TEL 613 Special topics in satellite, optical, and microwave telecommunication systems. Special Topics in Signal and Natural Language Processing TEL 614 Special topics in signal processing with application to telecommunications and speech or natural language processing. Special Topics in Telecommunication Networks TEL 615 Special topics in routing, coding, switching, modulation, multiplexing, stability analysis and performance of wireline and wireless telecommunication networks. 34 ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

37 CONTACT INFORMATION Mailing Address of the ECE Department Technical University of Crete Department of Electronic and Computer Engineering University Campus GR Chania, Crete, Greece Telephone and Fax Numbers TUC Rector s Office Departmental Administration Office , Departmental Fax Number Faculty Name Rank Telephone* Ε mail address Konstantinos Balas Assoc. Prof balas@electronics.tuc.gr Aggelos Bletsas Assist. Prof. aggelos@telecom.tuc.gr Matthias Bucher Assist. Prof mbucher@electronics.tuc.gr Stavros Christodoulakis Prof stavros@ced.tuc.gr Emmanuel Christodoulou Prof manolis@ece.tuc.gr Antonios Deligiannakis Assist. Prof adeli@softnet.tuc.gr Vassilios Digalakis Prof vas@telecom.tuc.gr Apostolos Dollas Prof dollas@mhl.tuc.gr Minos Garofalakis Prof minos@softnet.tuc.gr Konstantinos Kalaitzakis Prof koskal@electronics.tuc.gr George Karystinos Assist. Prof karystinos@telecom.tuc.gr Polychronis Koutsakis Assist. Prof polk@telecom.tuc.gr Michail Lagoudakis Assist. Prof lagoudakis@intelligence.tuc.gr Athanasios Liavas (Chairman) Assoc. Prof liavas@telecom.tuc.gr Katerina Mania Assist. Prof k.mania@ced.tuc.gr Ioannis Papaefstathiou Assist. Prof ygp@mhl.tuc.gr Michael Paterakis Prof pateraki@telecom.tuc.gr Euripides Petrakis Assoc. Prof petrakis@intelligence.tuc.gr Dionisios Pnevmatikatos (Associate Chairman) Assoc. Prof pnevmati@mhl.tuc.gr Alexandros Potamianos Assoc. Prof potam@telecom.tuc.gr Vassilios Samoladas Assist. Prof vsam@softnet.tuc.gr Nikos Sidiropoulos Prof nikos@telecom.tuc.gr George Stavrakakis Prof gstavr@electronics.tuc.gr Peter Stavroulakis Prof pete_tsi@yahoo.gr Michael Zervakis Prof michalis@systems.tuc.gr * add +30 for international calls ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

38 CONTACT INFORMATION Laboratory Teaching Staff Name Telephone Ε mail address Sotirios Bouros Emmanuel Doudounakis Markos Kimionis George Markoulakis Amalia Sergaki Laboratory Technical Staff Spyros Argyropoulos Eftichios Koutroulis Contracted Staff Stamatis Andrianakis George Anestis Polyxeni Arapi Vassilios Diakoloukas Nektarios Gioldasis Fotis Kazasis Ioannis Maragoudakis Nektarios Moumoutzis Kyprianos Papademetriou Nikolaos Pappas Euripides Sotiriades Administrative Staff Dimitra Athenaki Vassiliki Grigoraki (Head Secretary) Agapi Karakatsani Eleni Stamataki À Àƒ π π π π & ƒ Àª ø Το Μεταπτυχιακό Πρόγραµµα Σπουδών του Τµήµατος Ηλεκτρονικών Μηχανικών & Μηχανικών Υπολογιστών του Πολυτεχνείου Κρήτης έχει ενταχθεί στο 2ο Επιχειρησιακό Πρόγραµµα Εκπαίδευσης και Αρχικής Επαγγελµατικής Κατάρτισης (ΕΠΕΑΕΚ ΙΙ) του Υπουργείου Εθνικής Παιδείας και Θρησκευµάτων, µε τη συγχρηµατοδότηση της Ευρωπαϊκής Ένωσης και του Ευρωπαϊκού Κοινωνικού Ταµείου (ΕΚΤ). Àƒø ø Àƒø π ø π ª π 36 ELECTRONIC AND COMPUTER ENGINEERING _ GRADUATE PROGRAM GUIDE

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40 TECHNICAL UNIVERSITY OF CRETE Department of Electronic and Computer Engineering University Campus GR Chania Crete, Greece