Course list
Track type | Track | Semester | Cursus | Teaching Unit | Course |
---|---|---|---|---|---|
Engineer | First year [eng-S5-S6] | s5 | Upgrade courses [UpBase] ECTS: |
Upgrade Signal Processing [UpSigProc] Weight: N/A Credits for track: N/A |
|
Engineer | INTELLIGENT COMMUNICATION SYSTEMS [eng-com] | s7 | Opening 1 [EngICS-S7-Open1] ECTS: 5.00 |
Emulation and simulation methodologies [EmSim] Weight: 0.50 Credits for track: 2.50 |
|
Engineer | INTELLIGENT COMMUNICATION SYSTEMS [eng-com] | s7 | Opening 1 [EngICS-S7-Open1] ECTS: 5.00 |
Personal Development and Team Leadership [TeamLead] Weight: 0.80 Credits for track: 4.00 |
|
Engineer | INTELLIGENT COMMUNICATION SYSTEMS [eng-com] | s7 | Humanities and social sciences 3 [UecoEng-S7-Hum3] ECTS: 4.00 |
Personal Development and Team Leadership [TeamLead] Weight: 1.00 Credits for track: 4.00 |
|
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 |
|
Engineer | INTELLIGENT COMMUNICATION SYSTEMS [eng-com] | s9 | Opening 3 [EngICS-S9-Open3] ECTS: 7.50 |
Emulation and simulation methodologies [EmSim] Weight: 0.34 Credits for track: 2.50 |
Track type | Track | Semester | Cursus | Teaching Unit | Course |
---|---|---|---|---|---|
Engineer | INTELLIGENT COMMUNICATION SYSTEMS [eng-com] | s8 | Humanities and social sciences 4 [UecoEng-S8-Hum4] ECTS: 4.00 |
Personal Development and Team Leadership [TeamLead] Weight: 1.00 Credits for track: 4.00 |
|
Engineer | INTELLIGENT COMMUNICATION SYSTEMS [eng-com] | s8 | Opening 2 [EngICS-S8-Open2] ECTS: 5.00 |
Personal Development and Team Leadership [TeamLead] Weight: 0.80 Credits for track: 4.00 |
|
Engineer | INTELLIGENT COMMUNICATION SYSTEMS [eng-com] | s8 | Opening 2 [EngICS-S8-Open2] ECTS: 5.00 |
Algorithmic Machine Learning [AML] 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 |
Algorithmic Machine Learning [AML] Weight: 0.25 Credits for track: 2.50 |