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 | Natural Language Processing |
|---|---|
| Lesson Code | 321-6100 |
| Semester | 7 |
| ECTS | 5 |
| Hours (Theory) | 3 |
| Hours (Lab) | 0 |
| Faculty | Stamatatos Efstathios |
Syllabus
Introduction: basic concepts, applications. Morphological analysis, text tokenization and sentence splitting. Language modeling using n-grams. Basic supervised learning methods. Deep learning architectures for classification and sequence labeling. Language modeling using neural networks. Vector semantics, word and document embeddings. Text classification and applications. Part-of-Speech tagging and named-entity recognition. Constituency grammars and parsing, stochastic parsing. Dependency parsing. Logical representations of sentence meaning. Semantic analysis.
Learning Outcomes
After successfully completing the course the students should be able to:
• describe the basic principles and analysis levels of natural language processing;
• understand and use word and document representation techniques;
• understand algorithms and use tools for sequence labelling;
• understand algorithms and use tools to perform syntactic analysis;
• understand algorithms and use tools to classify documents;
• get familiar with deep learning methods and their application to natural language processing applications.
Prerequisite Courses
Not required.
Basic Textbooks
1. Russell and Norvig, Artificial Intelligence: A Modern Approach (4th ed.), Pearson, 2005.
2. Jurafsky and Martin, Speech and Language Processing (3rd ed.)
3. Manning and Schütze, Foundations of Statistical Natural Language Processing, MIT Press, 1999.
Additional References
1. Bird, Klein & Loper: Natural Language Processing with Python
2. Eisenstein: Natural Language Processing (notes)
Teaching and Learning Methods
| Activity | Semester workload |
|---|---|
| Lectures | 52 hours |
| Laboratory hours | 26 hours |
| Personal study | 44 hours |
| Final exams | 3 hours |
Student Performance Evaluation
Course grading comes from participation in individual laboratory exercises (50%) and written exam (50%). In both cases, lab exercises and written exams, at least 5.0 out of 10 is required. Students are informed about grading policy from the beginning.