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This entry is from Winter semester 2018/19 and might be obsolete. No current equivalent could be found.

CS 615 — Selected Topics in Computer Science / Data Science (Seminar)
(dt. Ausgewählte Themen der Informatik / Data Science („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
Two examinations: presentation (1 CP) with written assignment (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

The students shall

  • work independently on a special topic of computer science,
  • acquire the ability to carry out independent scientific work,
  • learn to prepare, divide and supplement connections in computer science with explanatory contents,
  • learn how to deal with scientific literature and how to search for it,
  • practice giving a structured presentation tailored to the competences of the audience,
  • deepen the handling of presentation media,
  • develop the capacity for structured discussion of informatics content in groups.

Prerequisites

Translation is missing. Here is the German original:

Keine. Empfohlen werden Vorkenntnisse abhängig von der fachlichen Ausrichtung des Seminars, generell jedoch Kenntnisse aus den Basismodulen der Informatik und Mathematik.


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 Advanced 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 2018/19. 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:

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.