Course list
Track type | Track | Semester | Cursus | Teaching Unit | Course |
---|---|---|---|---|---|
Engineer | INTELLIGENT COMMUNICATION SYSTEMS [eng-com] | s9 | Opening 3 [EngICS-S9-Open3] ECTS: 7.50 |
Basics on reinforcement learning [ReLearn] Weight: 0.34 Credits for track: 2.50 |
|
Engineer | INTELLIGENT COMMUNICATION SYSTEMS [eng-com] | s9 | Mobile computing and services [EngICS-MobComp] ECTS: 7.50 |
Basics on reinforcement learning [ReLearn] Weight: 0.34 Credits for track: 2.50 |
|
Engineer | INTERNET OF THINGS [eng-iot] | s7 | Opening 1 [EngIOT-S7-Open1] ECTS: 5.00 |
Basics on reinforcement learning [ReLearn] Weight: 0.50 Credits for track: 2.50 |
|
Engineer | INTERNET OF THINGS [eng-iot] | s9 | Opening 3 [EngIOT-S9-Open3] ECTS: 7.50 |
Basics on reinforcement learning [ReLearn] Weight: 0.34 Credits for track: 2.50 |
|
Engineer | INTERNET OF THINGS [eng-iot] | s9 | Software and Systems [EngIOT-SoftSys] ECTS: 7.50 |
Basics on reinforcement learning [ReLearn] Weight: 0.34 Credits for track: 2.50 |
Track type | Track | Semester | Cursus | Teaching Unit | Course |
---|---|---|---|---|---|
Engineer | INTERNET OF THINGS [eng-iot] | s8 | Humanities and social sciences 4 [UecoEng-S8-Hum4] ECTS: 4.00 |
Sociological Approaches of Telecom Technologies [SATT] Weight: 0.50 Credits for track: 2.00 |
|
Engineer | INTERNET OF THINGS [eng-iot] | s8 | Opening 2 [EngIOT-S8-Open2] ECTS: 5.00 |
Sociological Approaches of Telecom Technologies [SATT] Weight: 0.40 Credits for track: 2.00 |
|
Master | MASTER DATA SCIENCE [dnm-dat] | s8 | 18 | Humanities and social sciences 2 [UecoDnm-PM-S8-Hum2] ECTS: 4.00 |
Sociological Approaches of Telecom Technologies [SATT] Weight: 0.50 Credits for track: 2.00 |
Master | MASTER DATA SCIENCE [dnm-dat] | s8 | 24 | Humanities and social sciences 2 [UecoDnm-PM-S8-Hum2] ECTS: 4.00 |
Sociological Approaches of Telecom Technologies [SATT] Weight: 0.50 Credits for track: 2.00 |
Master | MASTER DATA SCIENCE [dnm-dat] | s8 | 24 | Scientific and technical opening 2 [DnmData-S8-Open2] ECTS: 5.00 |
Information Theory 1 [InfoTheo_1] Weight: 1.00 Credits for track: 5.00 |