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This entry is from Summer semester 2018 and might be obsolete. You can find a current equivalent here.

Selected Topics in Mathematics / Data Science (Seminar)
(dt. Ausgewählte Themen der Mathematik / Data Science („Seminar“))

Level, degree of commitment Advanced module, compulsory elective 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
Presentation with written assignment
Language,
Grading		 German,
The module is ungraded in accordance with 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 Mathematics

Contents

  • Advanced mathematics topics, which approach the state of the art in research
  • Topics are distributed to individual students or subject areas are distributed to small groups of students
  • Familiarisation with the topic on the basis of scientific literature in self-study, supported by feedback from the lecturer
  • One lecture per participant on the respective topic, largely free and comprehensible for the seminar participants
  • Discussion about the lectures

Qualification Goals

The students shall

  • work independently on a special mathematical topic,
  • develop their ability to carry out scientific work independently,
  • practice preparing and subdividing mathematical connections and supplementing them with explanatory content,
  • acquire a safe handling of scientific literature and literature search,
  • practice giving a structured presentation tailored to the audience's competences,
  • deepen the handling of presentation media,
  • deepen the ability for structured discussion of mathematical content in groups,
  • further qualify themselves in the use of mathematical text typesetting programs during the writing of the seminar report.

Prerequisites

Translation is missing. Here is the German original:

Keine. Empfohlen werden die Kompetenzen, die in den mathematischen Basismodulen und Aufbaumodulen (themenabhängig) vermittelt werden.


Applicability

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

  • B.Sc. Data Science

When studying B.Sc. Data Science, this module can be attended in the study area Compulsory Elective Modules in Mathematics.


Recommended Reading

  • According to the topic of the respective seminar



Please note:

This page describes a module according to the latest valid module guide in Summer semester 2018. 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.