Semester 1
Compulsory courses |
||||
|---|---|---|---|---|
| Lesson Code | Title | H(T) | H(L) | ECTS |
| 321-0120 | English Language 1 | 3 | 0 | 5 |
| 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 | Calculus | 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 | 5 |
| 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 | Linear Algebra | 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 | 5 |
| 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 II | 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 | and Tools | 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 an | 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 | 0 | 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 | Computer Vision | 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 | Degree Thesis | 30 | ||
| Title | Algorithms and Complexity |
|---|---|
| Lesson Code | 321-4200 |
| Semester | 4 |
| ECTS | 5 |
| Hours (Theory) | 3 |
| Hours (Lab) | 2 |
| Faculty | Kaporis Alexis |
Syllabus
Combinatorial optimization problems. Divide-conquer algorithms. FFT. Dynamic programming. Greedy algorithms. Graph algorithms. Minimal spanning trees & algorithms. Maximum flow. Randomized algorithms. Approximation algorithms.
Learning Outcomes
When the student completes the course succesfully:
- She will have the knowledge of the most important algorithms of the theory of computation and the knowledge to experimentally validate their performance.
- She will have the skills to apply techniques of analyzing the time and space complexity of algorithms.
- She will have the capability to to solve problems about time and space complexity of algorithms.
Prerequisite Courses
Not required.
Basic Textbooks
1. Algorithm Design, Jon Kleinberg, Eva Tardos.
2. Algorithms, Sanjou Dasgupta, Christos Papadimitriou, Umesh Vazirani.
3. Introduction to Algorithms by Cormen , Leiserson, Rivest and Stein.
Additional References
Algorithmica, Springer
Teaching and Learning Methods
| Activity | Semester workload |
|---|---|
| Lectures | 52 hours |
| Laboratory Exercises | 26 hours |
| Personal study | 43 hours |
| Mid-term Exam | 1 hour |
| Final exams | 3 hours |
| Course total | 125 hours (5 ECTS) |
Student Performance Evaluation
Lectures with slides. Use of optimization software as maple. The lectures are written in videos to help the understanding. Experimental validation of all algorithms in the lab areas.
Language of Instruction and Examinations
Greek, English (for Erasmus students)
Delivery Mode
Live in classroom. Also online video lectures.