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 |
| 321-2050 | Physics | 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 |
| 321-2400 | Probability and Statistics | 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 | 4 | 0 | 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 |
| 321-99000 | Numerical Analysis | 3 | 0 | 5 |
| 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 |
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 |
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 |
| 321-8000 | 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 |
| 321-8050 | Cryptography | 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 | Artificial Intelligence |
|---|---|
| Lesson Code | 321-3600 |
| Semester | 6 |
| ECTS | 5 |
| Hours (Theory) | 3 |
| Hours (Lab) | 2 |
| Faculty | Stamatatos Efstathios |
Syllabus
Intelligent agents (basic concepts). Search in a state space for problem solving: Blind (but systematic) search, Guided search and heuristic methods, Search cost, Local search. Constraint satisfaction problems: Basic principles and algorithms. Planning: Basic principles and algorithms, Hierarchical planning. Machine learning: Introduction, Inductive learning, Machine learning algorithms.
Learning Outcomes
On completion of this module, students are expected to be able:
- To have the knowledge of defining an intelligent agent and familiarity with the types of intelligent agents.
- To have the ability to represent a problem so that it can be solved via state space search. Familiarity with blind search algorithms. Familiarity with heuristic search algorithms.
- To posses the Understanding of the properties of heuristic functions. Familiarity with local search algorithms.
- To have the ability to represent a problem as a constraint satisfaction problem. Familiarity with algorithms of solving constraint satisfaction problems.
- To posses knownledge of planning methods and understanding the algorithm of partial-order planning. Familiarity with the basic principles and algorithms of machine learning.
- To have the capacity of developing programs that use artificial intelligence algorithms.
Prerequisite Courses
Not required.
Basic Textbooks
1. Russell and Norvig, Τεχνητή Νοημοσύνη: Μια Σύγχρονη Προσέγγιση, Κλειδάριθμος, 2005.
2. Βλαχάβας, Κεφαλάς, Βασιλειάδης, Κόκκορας, Σακελλαρίου, Τεχνητή Νοημοσύνη, Β. Γκιούρδας Εκδοτική, 2006.
3. David L. Poole and Alan K. Mackworth, “Artificial Intelligence: Foundations of Computational Agents”, Cambridge University Press, 2010.
4. M. Tim Jones, “Artificial Intelligence: A Systems Approach”, Infinity Science Press, 2008.
Additional References
1. Artificial Intelligence (Elsevier)
2. Journal of Artificial Intelligence Research
3. Intelligent Systems (IEEE)
Teaching and Learning Methods
| Activity | Semester workload |
|---|---|
| Lectures | 52 hours |
| Laboratory hours | 26 hours |
| Personal study | 44 hours |
| Final exams | 3 hours |
| Course total | 125 hours (5 ECTS) |
Student Performance Evaluation
During the teaching hours of the course, teaching material is projected to highlight the characteristics of the examined methods and systems. Appropriate methods and algorithms are demonstrated. The active participation of students with critical questions and small-group discussions is strongly encouraged. Exercises are solved.
Language of Instruction and Examinations
Greek, English (for Erasmus students)
Delivery Mode
Face-to-face.