List of programme's course units, number of exams (i.e. how many times the exam was taken in a year) and average marks
The data refer to last year. A course unit may include modules, subgroups, integrated exams. Proficiency tests are not included in the list.
| Course unit | Number of times exam was taken | Average mark |
|---|---|---|
| DISTRIBUTED AUTONOMOUS SYSTEMS M | 1 | 26 |
| KNOWLEDGE ENGINEERING | 17 | 28 |
| INTERNET OF THINGS | 17 | 28 |
| MACHINE LEARNING FOR COMPUTER VISION | 66 | 27 |
| DATA MINING, TEXT MINING AND BIG DATA ANALYTICS | 18 | 28 |
| SCALABLE AND RELIABLE SERVICES M | 2 | 27 |
| STATISTICAL AND MATHEMATICAL METHODS FOR ARTIFICIAL INTELLIGENCE | 84 | 27 |
| ARCHITECTURES AND PLATFORMS FOR ARTIFICIAL INTELLIGENCE | 11 | 28 |
| FUNDAMENTALS OF ARTIFICIAL INTELLIGENCE AND KNOWLEDGE REPRESENTATION | 153 | 28 |
| IMAGE PROCESSING AND COMPUTER VISION | 128 | 26 |
| MULTI-AGENT SYSTEMS | 14 | 30 |
| BLOCKCHAIN AND CRYPTOCURRENCIES | 47 | 29 |
| USER EXPERIENCE DESIGN | 13 | 27 |
| SOCIAL NETWORK ANALYSIS | 17 | 28 |
| DEEP LEARNING | 1 | 27 |
| INTRODUCTION TO ALGORITHMS AND PROGRAMMING | 108 | 29 |
| CYBERSECURITY | 8 | 28 |
| NATURAL LANGUAGE PROCESSING | 109 | 28 |
| AUTONOMOUS AND ADAPTIVE SYSTEMS M | 20 | 28 |
| ARTIFICIAL INTELLIGENCE IN INDUSTRY | 64 | 29 |
| ETHICS IN ARTIFICIAL INTELLIGENCE | 125 | 29 |
| COMBINATORIAL DECISION MAKING AND OPTIMIZATION | 173 | 28 |
| COGNITION AND NEUROSCIENCE | 145 | 27 |
| COMPLEX SYSTEMS & NETWORK SCIENCE | 18 | 29 |
| CRYPTOGRAPHY | 4 | 29 |
| MULTIMEDIA DATA MANAGEMENT M | 9 | 27 |
| LANGUAGES AND ALGORITHMS FOR ARTIFICIAL INTELLIGENCE | 96 | 28 |
| MACHINE LEARNING | 4 | 24 |
| MACHINE LEARNING AND DEEP LEARNING I.C. | 174 | 28 |