Course list

Period: 2023Fall
Track type Track Semester Cursus Teaching Unit Course
Engineer INTELLIGENT COMMUNICATION SYSTEMS [eng-com] s9 Opening 3
[EngICS-S9-Open3]
ECTS: 7.50
Machine Learning and Intelligent System
[MALIS]
Weight: 0.67
Credits for track: 5.00
Engineer INTELLIGENT COMMUNICATION SYSTEMS [eng-com] s9 Mobile computing and services
[EngICS-MobComp]
ECTS: 7.50
Machine Learning and Intelligent System
[MALIS]
Weight: 0.67
Credits for track: 5.00
Engineer INTERNET OF THINGS [eng-iot] s7 Basics in IOT
[EngIOT-BaseIOT]
ECTS: 10.00
Machine Learning and Intelligent System
[MALIS]
Weight: 0.50
Credits for track: 5.00
Master MASTER DATA SCIENCE [dnm-dat] s7 18 Basics in Data Science and Machine Learning
[DD18-DnmData-Basesdata]
ECTS: 10.00
Machine Learning and Intelligent System
[MALIS]
Weight: 0.50
Credits for track: 5.00
Master MASTER DATA SCIENCE [dnm-dat] s7 18 Long scientific and technical opening1
[DD18-DnmData-S7-Open1]
ECTS: 10.00
Machine Learning and Intelligent System
[MALIS]
Weight: 0.50
Credits for track: 5.00
Master MASTER DATA SCIENCE [dnm-dat] s7 24 Data Science and Machine Learning
[DnmDATA-Data&ML]
ECTS: 15.00
Machine Learning and Intelligent System
[MALIS]
Weight: 0.34
Credits for track: 5.00
Master MASTER DIGITAL SECURITY [dnm-sec] s7 18 Basics in Security & Machine Learning
[DD18-DnmSecu-Basesecu]
ECTS: 10.00
Machine Learning and Intelligent System
[MALIS]
Weight: 0.50
Credits for track: 5.00
Master MASTER DIGITAL SECURITY [dnm-sec] s7 18 Long scientific and technical opening1
[DD18-DnmSecu-S7-Open1]
ECTS: 10.00
Machine Learning and Intelligent System
[MALIS]
Weight: 0.50
Credits for track: 5.00
Master MASTER DIGITAL SECURITY [dnm-sec] s7 24 Security and Machine Learning
[DnmSECU-Secu&ML]
ECTS: 15.00
Machine Learning and Intelligent System
[MALIS]
Weight: 0.34
Credits for track: 5.00
Master Master EIT Digital Autonomous Systems [masterEITdigiAutoSys] s9 Data Processing and Architecture
[EITAuto-Data]
ECTS: 5.00
Machine Learning and Intelligent System
[MALIS]
Weight: 1.00
Credits for track: 5.00