Course list
Track type | Track | Semester | Cursus | Teaching Unit | Course |
---|---|---|---|---|---|
Engineer | First year [eng-S5-S6] | s6 | 36 | Computing and Networks [1Eng-Comp] ECTS: 7.00 |
Introduction to Computer Networking and the Internet 2 [IntroNet_2] Weight: 0.34 Credits for track: 2.50 |
Engineer | INTELLIGENT COMMUNICATION SYSTEMS [eng-com] | s8 | Opening 2 [EngICS-S8-Open2] ECTS: 5.00 |
NetWork Softwerization [Netsoft] Weight: 0.50 Credits for track: 2.50 |
|
Engineer | INTELLIGENT COMMUNICATION SYSTEMS [eng-com] | s8 | Opening 2 [EngICS-S8-Open2] ECTS: 5.00 |
Deep Learning [DeepLearning] Weight: 0.50 Credits for track: 2.50 |
|
Engineer | INTELLIGENT COMMUNICATION SYSTEMS [eng-com] | s8 | Mathematical and Algorithmic Methods [ue_eng-ics-s8-math] ECTS: 10.00 |
Deep Learning [DeepLearning] Weight: 0.25 Credits for track: 2.50 |
|
Engineer | INTELLIGENT COMMUNICATION SYSTEMS [eng-com] | s8 | Opening 2 [EngICS-S8-Open2] ECTS: 5.00 |
FormalMethods-Formal specification and verification of systems [FormalMet] Weight: 0.50 Credits for track: 2.50 |
Track type | Track | Semester | Cursus | Teaching Unit | Course |
---|---|---|---|---|---|
Engineer | First year [eng-S5-S6] | s6 | 36 | Computing and Networks [1Eng-Comp] ECTS: 7.00 |
Introduction to Computer Networking and the Internet 2 [IntroNet_2] Weight: 0.34 Credits for track: 2.50 |
Engineer | INTELLIGENT COMMUNICATION SYSTEMS [eng-com] | s8 | Opening 2 [EngICS-S8-Open2] ECTS: 5.00 |
NetWork Softwerization [Netsoft] Weight: 0.50 Credits for track: 2.50 |
|
Engineer | INTELLIGENT COMMUNICATION SYSTEMS [eng-com] | s8 | Opening 2 [EngICS-S8-Open2] ECTS: 5.00 |
FormalMethods-Formal specification and verification of systems [FormalMet] Weight: 0.50 Credits for track: 2.50 |
|
Engineer | INTELLIGENT COMMUNICATION SYSTEMS [eng-com] | s8 | Opening 2 [EngICS-S8-Open2] ECTS: 5.00 |
Deep Learning [DeepLearning] Weight: 0.50 Credits for track: 2.50 |
|
Engineer | INTELLIGENT COMMUNICATION SYSTEMS [eng-com] | s8 | Mathematical and Algorithmic Methods [ue_eng-ics-s8-math] ECTS: 10.00 |
Deep Learning [DeepLearning] Weight: 0.25 Credits for track: 2.50 |