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CS 615 — Selected Topics in Computer Science / Data Science A ("Seminar")
(dt. Ausgewählte Themen der Informatik / Data Science A („Seminar“))

Level, degree of commitment Advanced module, required module
Forms of teaching and learning,
workload		 Seminar (2 SWS),
90 hours (30 h attendance, 60 h private study)
Credit points,
formal requirements		 3 CP
Course requirement(s):
Examination type: Two partial examinations: Seminar presentation (weight: 1 cp) Written elaboration (weight: 2 cp)
Language,
Grading		 German,
The grading is done with 0 to 15 points according to the examination regulations for the degree program B.Sc. Data Science.
Duration,
frequency		 One semester,
each semester
Person in charge of the module's outline All lecturers of Computer Science

Contents

Topics from the field of computer science. The special technical orientation of the seminar is determined by the lecturer.


Qualification Goals

Students will be able to,

  • work out a special topic in computer science / data science independently,
  • prepare and break down contexts in computer science / data science and supplement them with explanatory content,
  • deal with and search for scientific literature,
  • to give a structured presentation tailored to the competencies of the audience,
  • handle presentation media,
  • discuss computer science content in a structured manner in a group.

Prerequisites

None. Previous knowledge is recommended, depending on the subject of the seminar, but generally knowledge of the basic modules of computer science and mathematics.


Applicability

The module can be attended at FB12 in study program(s)

  • B.Sc. Data Science

When studying B.Sc. Data Science, this module must be completed in the study area Continuing Modules in Computer Science.


Recommended Reading

  • Depending on the thematic focus of the seminar



Please note:

This page describes a module according to the latest valid module guide in Winter semester 2023/24. Most rules valid for a module are not covered by the examination regulations and can therefore be updated on a semesterly basis. The following versions are available in the online module guide:

  • Winter 2016/17 (no corresponding element)
  • Summer 2018 (no corresponding element)
  • Winter 2018/19 (no corresponding element)
  • Winter 2019/20 (no corresponding element)
  • Winter 2020/21 (no corresponding element)
  • Summer 2021 (no corresponding element)
  • Winter 2021/22 (no corresponding element)
  • Winter 2022/23 (no corresponding element)
  • Winter 2023/24

The module guide contains all modules, independent of the current event offer. Please compare the current course catalogue in Marvin.

The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.