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Advanced Topics in Data Science & Engineering

Module name (EN):
Name of module in study programme. It should be precise and clear.
Advanced Topics in Data Science & Engineering
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Computer Science and Communication Systems, Master, ASPO 01.10.2017
Module code: KIM-ATDE
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
2V (2 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
3
Semester: 1
Mandatory course: no
Language of instruction:
English
Assessment:


[still undocumented]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

KIM-ATDE Computer Science and Communication Systems, Master, ASPO 01.10.2017 , semester 1, optional course, telecommunications-specific
PIM-ATDE (P221-0151) Applied Informatics, Master, ASPO 01.10.2017 , semester 1, optional course, informatics specific
Workload:
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
30 class hours (= 22.5 clock hours) over a 15-week period.
The total student study time is 90 hours (equivalent to 3 ECTS credits).
There are therefore 67.5 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 11.07.2018]
Learning outcomes:


[still undocumented]
Module content:


[still undocumented]
Recommended or required reading:


[still undocumented]
Module offered in:
WS 2019/20, WS 2018/19 
[Thu Nov 21 10:11:34 CET 2024, CKEY=patidsx, BKEY=kim2, CID=KIM-ATDE, LANGUAGE=en, DATE=21.11.2024]