Group of Subjects - 2018_MBIOPS3 - Compulsory subjects of specialization
Summary of Study |
Summary of Branches |
All Subject Groups |
All Subjects |
List of Roles |
Explanatory Notes
Instructions
A | C | M | S
A | C | M | S
| Group: Compulsory subjects of specialization | |
| Min. credits: 30 Max. credits: 30 Min. subjects: 5 | Role: PS - compulsory courses in the specialisation |
| Subject | Name | Extent of teaching |
Language of teaching |
Completion |
Semester |
Rec. sem. |
Cred. |
Guarantors | Teachers | Dept. |
| B4M33PAL | Advanced algorithms | 2P+2C | CS | Z,ZK | Z | 1 | 6 | Průša D. | 13133 | |
| BE4M33SSU | Statistical Machine Learning | 2P+2C | EN | Z,ZK | Z | 1 | 6 | Flach B. | 13133 | |
| B4M33MPV | Computer Vision Methods | 2P+2C | CS | Z,ZK | L | 2 | 6 | Matas J. | 13133 | |
| B4M35KO | Combinatorial Optimization | 3P+2C | CS | Z,ZK | L | 2 | 6 | Hanzálek Z. | 13135 | |
| BAM33ZMO | Medical Image Processing | 2P+2C | CS | Z,ZK | Z | 3 | 6 | Kybic J. | 13133 |
| Page updated 25.4.2024 17:51:17, semester: Z/2024-5, Z,L/2023-4, Send comments about the content to the Administrators of the Academic Programs | Proposal and Realization: I. Halaška (K336), J. Novák (K336) |