Course list

Period: 2023Fall
Track type Track Semester Cursus Teaching Unit Course
Engineer INTELLIGENT COMMUNICATION SYSTEMS [eng-com] s7 Opening 1
[EngICS-S7-Open1]
ECTS: 5.00
Multiparty Computation and Blockchains
[MPC]
Weight: 0.50
Credits for track: 2.50
Engineer INTELLIGENT COMMUNICATION SYSTEMS [eng-com] s7 Opening 1
[EngICS-S7-Open1]
ECTS: 5.00
Responsible Research and Innovation: Health, Environment, Ethics and Technology
[RDI]
Weight: 0.40
Credits for track: 2.00
Engineer INTELLIGENT COMMUNICATION SYSTEMS [eng-com] s7 Humanities and social sciences 3
[UecoEng-S7-Hum3]
ECTS: 4.00
Responsible Research and Innovation: Health, Environment, Ethics and Technology
[RDI]
Weight: 0.50
Credits for track: 2.00
Engineer INTELLIGENT COMMUNICATION SYSTEMS [eng-com] s7 Opening 1
[EngICS-S7-Open1]
ECTS: 5.00
Machine Learning and Intelligent System
[MALIS]
Weight: 1.00
Credits for track: 5.00
Engineer INTELLIGENT COMMUNICATION SYSTEMS [eng-com] s9 Opening 3
[EngICS-S9-Open3]
ECTS: 7.50
Multiparty Computation and Blockchains
[MPC]
Weight: 0.34
Credits for track: 2.50
Engineer INTELLIGENT COMMUNICATION SYSTEMS [eng-com] s9 Opening 3
[EngICS-S9-Open3]
ECTS: 7.50
Responsible Research and Innovation: Health, Environment, Ethics and Technology
[RDI]
Weight: 0.25
Credits for track: 2.00
Engineer INTELLIGENT COMMUNICATION SYSTEMS [eng-com] s9 Humanities and social Sciences 5
[UecoEng-S9-Hum5]
ECTS: 4.00
Responsible Research and Innovation: Health, Environment, Ethics and Technology
[RDI]
Weight: 0.50
Credits for track: 2.00
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
Master Master SECCLO in Security and Cloud Computing [masterSeccloSecu] s9 Electives Secclo Security and Cloud Computing
[SECCLO-Elective]
ECTS: 5.00
Machine Learning and Intelligent System
[MALIS]
Weight: 1.00
Credits for track: 5.00