
Semester 1
Compulsory courses |
||||
---|---|---|---|---|
Lesson Code | Title | H(T) | H(L) | ECTS |
321-0120 | English Language 1 | 3 | 0 | 1 |
321-1500 | Discrete Mathematics I | 3 | 2 | 5 |
321-1200 | Structured Programming | 3 | 4 | 5 |
321-1400 | Introduction to Computer Science and Communications | 3 | 0 | 5 |
321-2000 | Logic Design | 3 | 2 | 5 |
321-1100 | Mathematics for Engineers I | 3 | 2 | 5 |
321-2400 | Probability and Statistics | 3 | 2 | 5 |
Semester 2
Compulsory courses |
||||
---|---|---|---|---|
Lesson Code | Title | H(T) | H(L) | ECTS |
321-0130 | English Language 2 | 3 | 0 | 2 |
321-2100 | Object-Oriented Programming I | 3 | 2 | 5 |
321-2450 | Discrete Mathematics II | 3 | 2 | 5 |
321-3300 | Computer Communications | 3 | 2 | 5 |
321-2550 | Circuit Theory | 3 | 2 | 5 |
321-3150 | Mathematics for Engineers II | 3 | 2 | 5 |
321-2050 | Physics | 3 | 2 | 5 |
Semester 3
Compulsory courses |
||||
---|---|---|---|---|
Lesson Code | Title | H(T) | H(L) | ECTS |
321-0140 | English Language 3 | 3 | 0 | 3 |
321-3650 | Object-Oriented Programming II | 3 | 2 | 5 |
321-3350 | Computer Architecture | 3 | 2 | 5 |
321-3000 | Data Structures | 3 | 2 | 5 |
321-5500 | Signals and Systems | 3 | 2 | 5 |
321-3750 | Stochastic Procedures | 3 | 2 | 5 |
321-8950 | Digital Innovation & Entrepreneurship | 3 | 0 | 5 |
Semester 4
Compulsory courses |
||||
---|---|---|---|---|
Lesson Code | Title | H(T) | H(L) | ECTS |
321-4200 | Algorithms and Complexity | 3 | 2 | 5 |
321-3100 | Information Systems Analysis and Design | 3 | 2 | 5 |
321-3200 | Databases I | 3 | 2 | 5 |
321-7900 | Electronics | 3 | 2 | 5 |
321-4100 | Operating Systems | 3 | 2 | 5 |
321-4120 | Advanced Topics of Programming Languages | 3 | 2 | 5 |
Semester 5
Compulsory courses |
||||
---|---|---|---|---|
Lesson Code | Title | H(T) | H(L) | ECTS |
321-3700 | Databases II | 3 | 2 | 5 |
321-6450 | Computer Networks | 3 | 2 | 5 |
321-6700 | Theory of Computation | 3 | 0 | 5 |
321-2300 | Operation of Business & Information Systems | 3 | 2 | 5 |
321-4000 | Software Engineering | 3 | 2 | 5 |
321-3450 | Telecommunications | 3 | 2 | 5 |
Semester 6
Compulsory courses |
||||
---|---|---|---|---|
Lesson Code | Title | H(T) | H(L) | ECTS |
321-3400 | Information and Communication Systems Security | 3 | 2 | 5 |
321-7950 | Distributed Systems | 3 | 2 | 5 |
321-5200 | Information Law | 3 | 0 | 5 |
321-6500 | Information Systems Management | 3 | 0 | 5 |
321-88100 | Internet Programming | 3 | 2 | 5 |
321-3600 | Artificial Intelligence | 3 | 2 | 5 |
Semester 7
Cycle 1: Information and Communication Systems Security and Privacy |
||||
---|---|---|---|---|
Lesson Code | Title | H(T) | H(L) | ECTS |
321-9700 | Computer Network Security and Privacy Enhancing Technologies | 3 | 0 | 5 |
321-5750 | Privacy and Data Protection Law | 3 | 0 | 5 |
Cycle 2: Information Systems and Entrepreneurship |
||||
---|---|---|---|---|
Lesson Code | Title | H(T) | H(L) | ECTS |
321-8100 | Project Management | 3 | 2 | 5 |
321-7650 | Systems Theory | 3 | 0 | 5 |
321-5150 | Information Systems Analysis and Design Methodologies | 3 | 0 | 5 |
Cycle 3: Computer and Telecommunication Technologies |
||||
---|---|---|---|---|
Lesson Code | Title | H(T) | H(L) | ECTS |
321-7050 | Digital Systems Design | 3 | 2 | 5 |
321-10300 | Digital Communications | 3 | 2 | 5 |
Cycle 4: Communication Systems and Networks |
||||
---|---|---|---|---|
Lesson Code | Title | H(T) | H(L) | ECTS |
321-8350 | Network Management | 3 | 0 | 5 |
321-7000 | Performance Evaluation and Simulation of Computer Systems and Networks | 3 | 2 | 5 |
Cycle 5: Information Management and Intelligent Systems |
||||
---|---|---|---|---|
Lesson Code | Title | H(T) | H(L) | ECTS |
321-7750 | Introduction to Robotics | 3 | 2 | 5 |
321-6100 | Natural Language Processing | 3 | 2 | 5 |
Cycle 6: Computer Science Foundations |
||||
---|---|---|---|---|
Lesson Code | Title | H(T) | H(L) | ECTS |
321-8600 | Information Theory | 3 | 0 | 5 |
Semester 8
Cycle 1: Information and Communication Systems Security and Privacy |
||||
---|---|---|---|---|
Lesson Code | Title | H(T) | H(L) | ECTS |
321-10750 | Mobile and Wireless Networks Security | 3 | 0 | 5 |
321-6000 | Security on Physical Layer | 3 | 0 | 5 |
321-8050 | Cryptography | 3 | 0 | 5 |
Cycle 2: Information Systems and Entrepreneurship |
||||
---|---|---|---|---|
Lesson Code | Title | H(T) | H(L) | ECTS |
321-5600 | Human - Computer Interaction and Web Applications | 3 | 2 | 5 |
321-8500 | Decision Support Systems | 3 | 2 | 5 |
321-11100 | Electronic Government Technologies and Applications | 3 | 0 | 5 |
Cycle 3: Computer and Telecommunication Technologies |
||||
---|---|---|---|---|
Lesson Code | Title | H(T) | H(L) | ECTS |
321-7800 | Wireless Communications | 3 | 2 | 5 |
321-8750 | Introduction to VLSI | 3 | 2 | 5 |
321-7850 | Microprocessors | 3 | 2 | 5 |
321-9350 | Digital Image Processing | 3 | 2 | 5 |
Cycle 4: Communication Systems and Networks |
||||
---|---|---|---|---|
Lesson Code | Title | H(T) | H(L) | ECTS |
321-7250 | Mobile Communication Networks | 3 | 2 | 5 |
321-6250 | Internet Protocols and Architectures | 3 | 0 | 5 |
321-11000 | Cloud Technologies | 3 | 2 | 5 |
Cycle 5: Information Management and Intelligent Systems |
||||
---|---|---|---|---|
Lesson Code | Title | H(T) | H(L) | ECTS |
321-10200 | Information Retrieval | 3 | 0 | 5 |
321-9250 | Data Mining | 3 | 2 | 5 |
321-6050 | Intelligent Recommender Systems | 3 | 0 | 5 |
321-6600 | Advanced Robotics | 3 | 2 | 5 |
Cycle 6: Computer Science Foundations |
||||
---|---|---|---|---|
Lesson Code | Title | H(T) | H(L) | ECTS |
321-99000 | Numerical Analysis | 3 | 0 | 5 |
321-8000 | Game Theory | 3 | 0 | 5 |
321-9850 | Mathematical Modeling | 3 | 0 | 5 |
321-9000 | Forecasting Techniques | 3 | 0 | 5 |
Optional courses |
||||
---|---|---|---|---|
Lesson Code | Title | H(T) | H(L) | ECTS |
321-2630 | 3 | 2 | 5 | |
321-7600 | 3 | 0 | 5 |
Semester 9
Cycle 1: Information and Communication Systems Security and Privacy |
||||
---|---|---|---|---|
Lesson Code | Title | H(T) | H(L) | ECTS |
321-99100 | Regulatory and Social Issues in Information Society | 3 | 0 | 5 |
Cycle 2: Information Systems and Entrepreneurship |
||||
---|---|---|---|---|
Lesson Code | Title | H(T) | H(L) | ECTS |
321-5400 | Information Systems Strategy and Investment | 3 | 0 | 5 |
321-8200 | E-Commerce Technologies and Applications | 3 | 0 | 5 |
Cycle 3: Computer and Telecommunication Technologies |
||||
---|---|---|---|---|
Lesson Code | Title | H(T) | H(L) | ECTS |
321-3250 | Internet of Things | 3 | 2 | 5 |
321-10650 | Satellite Communications | 3 | 2 | 5 |
321-8650 | Optoelectronics | 3 | 2 | 5 |
321-6550 | Multimedia | 3 | 2 | 5 |
Cycle 4: Communication Systems and Networks |
||||
---|---|---|---|---|
Lesson Code | Title | H(T) | H(L) | ECTS |
321-9400 | Sensor Networks | 3 | 2 | 5 |
321-9120 | Design and Development of Mobile Computing applications | 3 | 2 | 5 |
Cycle 5: Information Management and Intelligent Systems |
||||
---|---|---|---|---|
Lesson Code | Title | H(T) | H(L) | ECTS |
321-9450 | Applied Topics in Data Structures and Databases | 3 | 0 | 5 |
321-7400 | Knowledge Engineering and Knowledge Systems | 3 | 0 | 5 |
Cycle 6: Computer Science Foundations |
||||
---|---|---|---|---|
Lesson Code | Title | H(T) | H(L) | ECTS |
321-10000 | Algorithms and Combinatorial Optimization | 3 | 0 | 5 |
Optional courses |
||||
---|---|---|---|---|
Lesson Code | Title | H(T) | H(L) | ECTS |
321-2600 | 3 | 0 | 5 |
Semester 10
Compulsory courses |
||||
---|---|---|---|---|
Lesson Code | Title | H(T) | H(L) | ECTS |
321-7100 | Diploma Thesis | 30 |
Title | Information Theory |
---|---|
Lesson Code | 321-8600 |
Semester | 7 |
ECTS | 5 |
Hours (Theory) | 3 |
Hours (Lab) | 0 |
Faculty | Maliatsos Konstantinos |
Syllabus
Discrete information sources, alphabets. Entropy. Source coding: Huffman codes, Lempel-Ziv, arithmetic codes. Channel capacity. Second Shannon’s theorem. Binary symmetric channel. Source modeling with Markov chains. Modulation and channel restrictions. Sequences (d, k) and codes RLL. Linear error detection and error correction codes. Codes representation in a binary vectorial space. Hamming distance. Decoding of linear codes. Codes Hamming: design, binary code, extended Hamming codes. Performance bounds of linear codes. ARQ protocols. This course offers an introduction to the theory of information and its applications to communication systems. Emphasis is given on the design, analysis and application of error detection and correction codes.
Learning Outcomes
- The student will learn the foundations of information theory.
- The student will be able to compute information that a source produces and examine the possibility to transmit it over a specific channel.
- The student will be able to choose the most adequate compression algorithms.
- The student will be able to evaluate the impact of the application of compression algorithms.
- The student will be able to choose the most adequate error correction algorithms under specific noise conditions and transmission rate.
- The student will be able to develop coding systems and applications for compression and reliable transmission of data.
Prerequisite Courses
Not required.
Basic Textbooks
- Elements of Information Theory - Thomas M. Cover, Joy A. Thomas, Wiley and sons.
- Δ. Βούκαλης, “Θεωρία πληροφοριών – Κώδικες”, ΣΤΕΛΛΑ ΠΑΡΙΚΟΥ & ΣΙΑ,2009 (in Greek).
- Sam Shanmugan. “Ψηφιακά και Αναλογικά Συστήματα Επικοινωνίας”, Επιστημονικές και Τεχνολογικές Εκδόσεις Α.Γ.ΠΝΕΥΜΑΤΙΚΟΣ, 1979 (in Greek).
- S.Lin and D. Costello, “Error Control Coding”, Prentice Hall, 2004.
Additional References
- IEEE Transactions on Information Theory
- IEEE Journal on Selected Areas in Information Theory
- MDPI Entropy
Teaching and Learning Methods
Activity | Semester workload |
---|---|
Lectures | 39 hours |
Personal study | 83 hours |
Final exams | 3 hours |
Course total | 125 hours (5 ECTS) |
Student Performance Evaluation
Lectures with an optional assignment.
Evaluation is performed through a final exam.
The assignment is optional and has only a positive impact on the grade (if it does not help, it is not taken into account).
The assignment accounts for 30% of the final grade, and those who submit it (with a grade higher than 6 in the assignment) will take the final exam with a maximum possible grade of 7.
Language of Instruction and Examinations
Delivery Mode
Face-to-face