Course list
Track type | Track | Semester | Cursus | Teaching Unit | Course |
---|---|---|---|---|---|
Engineer | EMBEDDED SYSTEMS [eng-emb] | s9 | Communicating and secure embedded systems [EngEmb-ComEmb] ECTS: 7.50 |
Designing embedded systems with UML [UMLEmb] Weight: 0.34 Credits for track: 2.50 |
|
Engineer | INTELLIGENT COMMUNICATION SYSTEMS [eng-com] | s7 | Opening 1 [EngICS-S7-Open1] ECTS: 5.00 |
Semantic Web and Information Extraction Technologies [WebSem] Weight: 0.50 Credits for track: 2.50 |
|
Engineer | INTELLIGENT COMMUNICATION SYSTEMS [eng-com] | s7 | Mobile Networks and Models [EngICS-NetMod] ECTS: 10.00 |
Quantum Information Science [QUANTIS] Weight: 0.25 Credits for track: 2.50 |
|
Engineer | INTELLIGENT COMMUNICATION SYSTEMS [eng-com] | s7 | Opening 1 [EngICS-S7-Open1] ECTS: 5.00 |
Designing embedded systems with UML [UMLEmb] Weight: 0.50 Credits for track: 2.50 |
Track type | Track | Semester | Cursus | Teaching Unit | Course |
---|---|---|---|---|---|
Engineer | INTELLIGENT COMMUNICATION SYSTEMS [eng-com] | s8 | Opening 2 [EngICS-S8-Open2] ECTS: 5.00 |
Interaction Design and Development of Modern Web Applications [WebInt] Weight: 0.50 Credits for track: 2.50 |
|
Engineer | INTELLIGENT COMMUNICATION SYSTEMS [eng-com] | s8 | Opening 2 [EngICS-S8-Open2] ECTS: 5.00 |
Speech and audio processing [Speech] Weight: 0.50 Credits for track: 2.50 |
|
Engineer | INTELLIGENT COMMUNICATION SYSTEMS [eng-com] | s8 | Opening 2 [EngICS-S8-Open2] ECTS: 5.00 |
Wireless Access Technologies [MobWat] 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 |
Wireless Access Technologies [MobWat] Weight: 0.25 Credits for track: 2.50 |
|
Engineer | INTELLIGENT COMMUNICATION SYSTEMS [eng-com] | s8 | Optimization [EngICS-OpTim] ECTS: 10.00 |
Radio engineering [Radio] Weight: 0.50 Credits for track: 5.00 |
|
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 |