Course list
Track type | Track | Semester | Cursus | Teaching Unit | Course |
---|---|---|---|---|---|
Other | 6 and 12 months cursus [shortcursus] | s7 | free courses for 6/12 months students [free-6_12] ECTS: |
Semantic Web and Information Extraction Technologies [WebSem] Weight: N/A Credits for track: 2.50 |
|
Engineer | DATA SCIENCE [eng-dat] | s7 | Opening 1 [EngData-S7-Open1] ECTS: 5.00 |
Semantic Web and Information Extraction Technologies [WebSem] Weight: 0.50 Credits for track: 2.50 |
|
Engineer | DATA SCIENCE [eng-dat] | s7 | Web Science and mathematical methods [EngData-Web] ECTS: 10.00 |
Semantic Web and Information Extraction Technologies [WebSem] Weight: 0.25 Credits for track: 2.50 |
|
Engineer | DATA SCIENCE [eng-dat] | s9 | Opening 3 [EngData-S9-Open3] ECTS: 7.50 |
Semantic Web and Information Extraction Technologies [WebSem] Weight: 0.34 Credits for track: 2.50 |
|
Engineer | DIGITAL SECURITY [eng-sec] | s7 | Opening 1 [EngSecu-S7-Open1] ECTS: 5.00 |
Semantic Web and Information Extraction Technologies [WebSem] Weight: 0.50 Credits for track: 2.50 |
|
Engineer | DIGITAL SECURITY [eng-sec] | s7 | Systems and network programming [EngSecu-SysNet] ECTS: 10.00 |
Semantic Web and Information Extraction Technologies [WebSem] Weight: 0.25 Credits for track: 2.50 |
|
Engineer | EMBEDDED SYSTEMS [eng-emb] | s7 | Opening 1 [EngEmb-S7-Open1] ECTS: 5.00 |
Semantic Web and Information Extraction Technologies [WebSem] Weight: 0.50 Credits for track: 2.50 |
Track type | Track | Semester | Cursus | Teaching Unit | Course |
---|---|---|---|---|---|
Other | 6 and 12 months cursus [shortcursus] | s8 | free courses for 6/12 months students [free-6_12] ECTS: 30.00 |
Algorithmic Machine Learning [AML] Weight: N/A Credits for track: 2.50 |
|
Engineer | DATA SCIENCE [eng-dat] | s8 | Advanced in Machine Learning [EngData-AdvMachine] ECTS: 10.00 |
Algorithmic Machine Learning [AML] Weight: 0.25 Credits for track: 2.50 |
|
Engineer | DIGITAL SECURITY [eng-sec] | s8 | Opening 2 [EngSecu-S8-Open2] ECTS: 5.00 |
Algorithmic Machine Learning [AML] Weight: 0.50 Credits for track: 2.50 |