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 | 3 | 29 |
| COMPUTATIONAL METHODS FOR BIOINFORMATICS | 5 | 26 |
| NEUROSCIENCES | 3 | 28 |
| ALGORITHMS AND DATA STRUCTURES FOR COMPUTATIONAL BIOLOGY | 6 | 24 |
| ALGORITHMS AND DATA STRUCTURES FOR COMPUTATIONAL BIOLOGY | 20 | 24 |
| BIOANALYTICAL PROTEOMICS AND INTERACTOMICS | 58 | 27 |
| BIOMEDICAL DATA BASES | 1 | 22 |
| DNA/RNA DYNAMICS | 2 | 24 |
| SYSTEMS AND IN SILICO BIOLOGY | 29 | 28 |
| APPLIED MACHINE LEARNING-BASIC | 7 | 29 |
| MOLECULAR PHYLOGENETICS | 3 | 25 |
| LABORATORY OF BIOINFORMATICS 1 | 1 | 27 |
| ELEMENTS OF BIOPHYSICS | 29 | 27 |
| INTRODUCTION TO BIG DATA PROCESSING INFRASTRUCTURES | 21 | 26 |
| INFRASTRUCTURES FOR BIG DATA PROCESSING | 2 | 29 |
| BIOINFORMATICS FOR SYSTEM AND SYNTHETIC BIOLOGY | 2 | 27 |
| MOLECULAR PHYLOGENETICS | 59 | 28 |
| APPLIED MACHINE LEARNING - ADVANCED | 16 | 29 |
| APPLIED MACHINE LEARNING | 1 | 30 |
| LABORATORY OF BIOINFORMATICS 2 | 31 | 28 |
| DNA/RNA DYNAMICS | 55 | 28 |
| APPLIED GENOMICS | 20 | 28 |
| APPLIED MACHINE LEARNING | 1 | 27 |
| INTRODUCTION TO BIG DATA PROCESSING INFRASTRUCTURES | 54 | 26 |
| LABORATORY OF BIOINFORMATICS 2 | 4 | 26 |
| LABORATORY OF BIOINFORMATICS 1 | 39 | 28 |
| COMPUTATIONAL METHODS FOR BIOINFORMATICS | 30 | 29 |
| APPLIED GENOMICS | 17 | 28 |
| BIOMEDICAL DATA BASES | 52 | 28 |
| ELEMENTS OF COMPUTATIONAL BIOLOGY | 30 | 27 |
| NEUROSCIENCES | 2 | 29 |
| APPLIED MACHINE LEARNING - BASIC | 18 | 29 |
