Course list

Period: 2024Fall
Track type Track Semester Cursus Teaching Unit Course
Engineer INTELLIGENT COMMUNICATION SYSTEMS [eng-com] s9 Opening 3
[EngICS-S9-Open3]
ECTS: 7.50
Basics on reinforcement learning
[ReLearn]
Weight: 0.34
Credits for track: 2.50
Engineer INTELLIGENT COMMUNICATION SYSTEMS [eng-com] s9 Mobile computing and services
[EngICS-MobComp]
ECTS: 7.50
Basics on reinforcement learning
[ReLearn]
Weight: 0.34
Credits for track: 2.50
Engineer INTERNET OF THINGS [eng-iot] s7 Opening 1
[EngIOT-S7-Open1]
ECTS: 5.00
Basics on reinforcement learning
[ReLearn]
Weight: 0.50
Credits for track: 2.50
Engineer INTERNET OF THINGS [eng-iot] s9 Opening 3
[EngIOT-S9-Open3]
ECTS: 7.50
Basics on reinforcement learning
[ReLearn]
Weight: 0.34
Credits for track: 2.50
Engineer INTERNET OF THINGS [eng-iot] s9 Software and Systems
[EngIOT-SoftSys]
ECTS: 7.50
Basics on reinforcement learning
[ReLearn]
Weight: 0.34
Credits for track: 2.50
Master Master EIT Digital Autonomous Systems [masterEITdigiAutoSys] s9 Innovation & entrepreneurship EIT
[Ueco-EIT-Innov]
ECTS: 6.00
Innovation and entrepreneurship EIT (external course)
[I&E]
Weight: 1.00
Credits for track: 6.00
Master Master EIT Digital Cyber Security [masterEITdigisecu] s9 Innovation & entrepreneurship EIT
[Ueco-EIT-Innov]
ECTS: 6.00
Innovation and entrepreneurship EIT (external course)
[I&E]
Weight: 1.00
Credits for track: 6.00
Post Master Degree Post Master Degree in Security for Computer and communication systems [spe-sec] s11 Opening 1
[PM-Open_1]
ECTS: 5.00
Basics on reinforcement learning
[ReLearn]
Weight: 0.50
Credits for track: 2.50
Post Master Degree Post Master Degree in Security for Computer and communication systems [spe-sec] s13 24 free courses for Post Master
[PM_free_courses]
ECTS: 30.00
Basics on reinforcement learning
[ReLearn]
Weight: N/A
Credits for track: 2.50