Course list
Track type | Track | Semester | Cursus | Teaching Unit | Course |
---|---|---|---|---|---|
Master | MASTER DATA SCIENCE [dnm-dat] | s7 | 24 | Scientific and technical opening1 [DnmData-S7-Open1] ECTS: 5.00 |
Digital communications [DigiCom] Weight: 1.00 Credits for track: 5.00 |
Master | MASTER DATA SCIENCE [dnm-dat] | s7 | 24 | Scientific and technical opening1 [DnmData-S7-Open1] ECTS: 5.00 |
Computer architecture [CompArch] Weight: 1.00 Credits for track: 5.00 |
Master | MASTER DATA SCIENCE [dnm-dat] | s7 | 18 | Long scientific and technical opening1 [DD18-DnmData-S7-Open1] ECTS: 10.00 |
Computer architecture [CompArch] Weight: 0.50 Credits for track: N/A |
Master | MASTER DATA SCIENCE [dnm-dat] | s7 | 18 | Long scientific and technical opening1 [DD18-DnmData-S7-Open1] ECTS: 10.00 |
Advanced topics in wireless communications [ATWireless] Weight: 0.50 Credits for track: N/A |
Master | MASTER DATA SCIENCE [dnm-dat] | s7 | 24 | Scientific and technical opening1 [DnmData-S7-Open1] ECTS: 5.00 |
Advanced topics in wireless communications [ATWireless] Weight: 1.00 Credits for track: 5.00 |
Master | MASTER DATA SCIENCE [dnm-dat] | s7 | 24 | Scientific and technical opening1 [DnmData-S7-Open1] ECTS: 5.00 |
Basics on reinforcement learning [ReLearn] Weight: 0.50 Credits for track: 2.50 |
Master | MASTER DATA SCIENCE [dnm-dat] | s7 | 18 | Long scientific and technical opening1 [DD18-DnmData-S7-Open1] ECTS: 10.00 |
Basics on reinforcement learning [ReLearn] Weight: 0.25 Credits for track: N/A |
Master | MASTER DATA SCIENCE [dnm-dat] | s7 | 24 | Scientific and technical opening1 [DnmData-S7-Open1] ECTS: 5.00 |
NetWork Softwerization [Netsoft] Weight: 1.00 Credits for track: 5.00 |
Master | MASTER DATA SCIENCE [dnm-dat] | s7 | 24 | Scientific and technical opening1 [DnmData-S7-Open1] ECTS: 5.00 |
Multiparty Computation and Blockchains [MPC] Weight: 0.50 Credits for track: 2.50 |
Master | MASTER DATA SCIENCE [dnm-dat] | s7 | 24 | Scientific and technical opening1 [DnmData-S7-Open1] ECTS: 5.00 |
Security and privacy for Big Data and Cloud [BigSec] Weight: 0.50 Credits for track: 2.50 |