Course list

Period: 2024Spring
Track type Track Semester Cursus Teaching Unit Course
Engineer EMBEDDED SYSTEMS [eng-emb] s8 Algorithms, tools and methods for data processing
[EngEmb-Algo]
ECTS: 10.00
Deep Learning
[DeepLearning]
Weight: 0.25
Credits for track: 2.50
Engineer EMBEDDED SYSTEMS [eng-emb] s8 Opening 2
[EngEmb-S8-Open2]
ECTS: 5.00
Deep Learning
[DeepLearning]
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 INTERNET OF THINGS [eng-iot] s8 Advanced IOT for engineers
[EngIOT-AdvIOT]
ECTS: 10.00
Deep Learning
[DeepLearning]
Weight: 0.25
Credits for track: 2.50
Period: 2023Fall
Track type Track Semester Cursus Teaching Unit Course
Engineer EMBEDDED SYSTEMS [eng-emb] s9 Opening 3
[EngEmb-S9-Open3]
ECTS: 7.50
Optimization Theory with Applications
[Optim]
Weight: 0.34
Credits for track: 2.50
Engineer INTELLIGENT COMMUNICATION SYSTEMS [eng-com] s7 Opening 1
[EngICS-S7-Open1]
ECTS: 5.00
Optimization Theory with Applications
[Optim]
Weight: 0.50
Credits for track: 2.50
Engineer INTELLIGENT COMMUNICATION SYSTEMS [eng-com] s9 Opening 3
[EngICS-S9-Open3]
ECTS: 7.50
Optimization Theory with Applications
[Optim]
Weight: 0.34
Credits for track: 2.50
Engineer INTERNET OF THINGS [eng-iot] s7 Opening 1
[EngIOT-S7-Open1]
ECTS: 5.00
Optimization Theory with Applications
[Optim]
Weight: 0.50
Credits for track: 2.50
Engineer INTERNET OF THINGS [eng-iot] s9 Opening 3
[EngIOT-S9-Open3]
ECTS: 7.50
Optimization Theory with Applications
[Optim]
Weight: 0.34
Credits for track: 2.50