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 |
|---|---|---|
| LANGUAGES AND ALGORITHMS FOR ARTIFICIAL INTELLIGENCE | 138 | 28 |
| MULTI-AGENT SYSTEMS | 11 | 28 |
| DATA MINING, TEXT MINING AND BIG DATA ANALYTICS | 75 | 29 |
| INTRODUCTION TO ALGORITHMS AND PROGRAMMING | 5 | 24 |
| COMPLEX SYSTEMS & NETWORK SCIENCE | 11 | 29 |
| COGNITION AND NEUROSCIENCE | 143 | 28 |
| COMBINATORIAL DECISION MAKING AND OPTIMIZATION | 130 | 28 |
| MACHINE LEARNING FOR COMPUTER VISION | 89 | 27 |
| CYBERSECURITY | 9 | 28 |
| AUTONOMOUS AND ADAPTIVE SYSTEMS M | 15 | 26 |
| SOCIAL NETWORK ANALYSIS | 59 | 28 |
| CRYPTOGRAPHY | 7 | 29 |
| BLOCKCHAIN AND CRYPTOCURRENCIES | 45 | 28 |
| ARTIFICIAL INTELLIGENCE IN INDUSTRY | 112 | 30 |
| SCALABLE AND RELIABLE SERVICES M | 2 | 30 |
| ARCHITECTURES AND PLATFORMS FOR ARTIFICIAL INTELLIGENCE | 16 | 28 |
| NATURAL LANGUAGE PROCESSING | 148 | 28 |
| DISTRIBUTED AUTONOMOUS SYSTEMS M | 2 | 29 |
| FUNDAMENTALS OF ARTIFICIAL INTELLIGENCE AND KNOWLEDGE REPRESENTATION | 109 | 27 |
| KNOWLEDGE ENGINEERING | 12 | 25 |
| USER EXPERIENCE DESIGN | 21 | 26 |
| COMPUTATIONAL ETHICS | 9 | 29 |
| MACHINE LEARNING | 2 | 27 |
| EXPERT SYSTEMS | 3 | 29 |
| INTERNET OF THINGS | 9 | 27 |
| IMAGE PROCESSING AND COMPUTER VISION | 112 | 25 |
| ETHICS IN ARTIFICIAL INTELLIGENCE | 147 | 27 |
| MACHINE LEARNING AND DEEP LEARNING I.C. | 92 | 28 |
| MULTIMEDIA DATA MANAGEMENT M | 7 | 28 |
| DEEP LEARNING | 2 | 24 |
| PROJECT WORK IN NATURAL LANGUAGE PROCESSING | 1 | 30 |
| STATISTICAL AND MATHEMATICAL METHODS FOR ARTIFICIAL INTELLIGENCE | 101 | 27 |