Main content

CS 568 — 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
Course requirement(s):
Examination type: Two partial examinations: Seminar presentation Written elaboration
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

Students will be able to,

  • work out a special mathematical topic independently,
  • prepare and break down mathematical contexts and supplement them with explanatory content,
  • deal with and search for scientific literature,
  • to give a structured lecture tailored to the competencies of the audience,
  • to deal with presentation media
  • to discuss mathematical content in a structured way in a group,
  • to deal with mathematical typesetting programs.

Prerequisites

None. The competences taught in the following modules are recommended: Foundations of Mathematics and Linear Algebra I, either Basic Real Analysis and Basics of Advanced Mathematics or Analysis I and Analysis II. In addition, the competences that are taught in the mathematical intermediate modules (depending on the topic) are recommended.


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 Free Compulsory Elective Modules.

The module is assigned to Mathematics. Further information on eligibility can be found in the description of the study area.


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 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:

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.