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 |
|---|---|---|
| APPLIED MACHINE LEARNING - ADVANCED | 6 | 29 |
| SYSTEMS AND IN SILICO BIOLOGY | 19 | 28 |
| APPLIED MACHINE LEARNING | 2 | 29 |
| ALGORITHMS AND DATA STRUCTURES FOR COMPUTATIONAL BIOLOGY | 23 | 25 |
| COMPUTATIONAL METHODS FOR BIOINFORMATICS | 1 | 27 |
| DNA/RNA DYNAMICS | 20 | 28 |
| MOLECULAR PHYLOGENETICS | 23 | 27 |
| BIOMEDICAL DATA BASES | 26 | 28 |
| COMPUTATIONAL METHODS FOR BIOINFORMATICS | 15 | 28 |
| BIOINFORMATICS FOR SYSTEM AND SYNTHETIC BIOLOGY | 4 | 30 |
| INFRASTRUCTURES FOR BIG DATA PROCESSING | 8 | 28 |
| APPLIED MACHINE LEARNING - BASIC | 18 | 29 |
| NEUROSCIENCES | 8 | 30 |
| PROGRAMMING FOR BIOINFORMATICS | 1 | 26 |
| LABORATORY OF BIOINFORMATICS 2 | 19 | 29 |
| LABORATORY OF BIOINFORMATICS 1 | 21 | 29 |
| INTRODUCTION TO BIG DATA PROCESSING INFRASTRUCTURES | 30 | 27 |
| BIOANALYTICAL PROTEOMICS AND INTERACTOMICS | 22 | 29 |
| ELEMENTS OF BIOPHYSICS | 4 | 30 |
| APPLIED MACHINE LEARNING - ADVANCED | 1 | 30 |
| APPLIED MACHINE LEARNING | 1 | 26 |
| ELEMENTS OF COMPUTATIONAL BIOLOGY | 8 | 29 |
| APPLIED GENOMICS | 25 | 25 |