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 |
|---|---|---|
| COMBINATORIAL DECISION MAKING AND OPTIMIZATION | 73 | 29 |
| BLOCKCHAIN AND CRYPTOCURRENCIES | 16 | 30 |
| PROJECT WORK IN COMBINATORIAL OPTIMIZATION | 1 | 22 |
| IMAGE PROCESSING AND COMPUTER VISION | 86 | 27 |
| LANGUAGES AND ALGORITHMS FOR ARTIFICIAL INTELLIGENCE | 95 | 28 |
| COMPLEX SYSTEMS & NETWORK SCIENCE | 10 | 30 |
| INTRODUCTION TO ALGORITHMS AND PROGRAMMING | 61 | 28 |
| FUNDAMENTALS OF ARTIFICIAL INTELLIGENCE AND KNOWLEDGE REPRESENTATION | 101 | 28 |
| STATISTICAL AND MATHEMATICAL METHODS FOR ARTIFICIAL INTELLIGENCE | 43 | 28 |
| MACHINE LEARNING AND DEEP LEARNING I.C. | 127 | 29 |
| DATA MINING, TEXT MINING AND BIG DATA ANALYTICS | 24 | 29 |
| MACHINE LEARNING FOR COMPUTER VISION | 34 | 28 |
| INTERNET OF THINGS | 10 | 30 |
| PROJECT WORK IN FUNDAMENTALS OF ARTIFICIAL INTELLIGENCE AND KNOWLEDGE REPRESENTATION | 1 | 29 |
| ETHICS IN ARTIFICIAL INTELLIGENCE | 91 | 29 |
| ARTIFICIAL INTELLIGENCE IN INDUSTRY | 42 | 29 |
| NATURAL LANGUAGE PROCESSING | 75 | 30 |
| MULTI-AGENT SYSTEMS | 1 | 30 |
| MULTIMEDIA DATA MANAGEMENT M | 5 | 29 |
| KNOWLEDGE ENGINEERING | 9 | 28 |
| ARCHITECTURES AND PLATFORMS FOR ARTIFICIAL INTELLIGENCE | 16 | 28 |
| USER EXPERIENCE DESIGN | 4 | 29 |
| COGNITION AND NEUROSCIENCE | 117 | 28 |