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Deep Learning

Module name (EN): Deep Learning
Degree programme: Computer Science and Communication Systems, Master, ASPO 01.10.2017
Module code: KIM-DL
Hours per semester week / Teaching method: 2V+2P (4 hours per week)
ECTS credits: 6
Semester: according to optional course list
Mandatory course: no
Language of instruction:
English
Assessment:


[still undocumented]
Curricular relevance:
E2831 Electrical Engineering and Information Technology, Master, ASPO 01.04.2019, optional course, technical
KIM-DL Computer Science and Communication Systems, Master, ASPO 01.10.2017, optional course, informatics specific
PIM-DL Applied Informatics, Master, ASPO 01.10.2017, optional course, informatics specific
Workload:
60 class hours (= 45 clock hours) over a 15-week period.
The total student study time is 180 hours (equivalent to 6 ECTS credits).
There are therefore 135 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
None.
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Klaus Berberich
Lecturer:
Prof. Dr. Klaus Berberich


[updated 23.02.2021]
Learning outcomes:


[still undocumented]
Module content:


[still undocumented]
Recommended or required reading:


[still undocumented]
Module offered in:
SS 2021, SS 2020
[Sun Aug  1 16:15:03 CEST 2021, CKEY=kdl, BKEY=kim2, CID=KIM-DL, LANGUAGE=en, DATE=01.08.2021]