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CS 390 — Operations Research
(dt. Operations Research)

Level, degree of commitment Advanced module, compulsory elective module
Forms of teaching and learning,
workload		 Lecture (4 SWS), recitation class (2 SWS),
270 hours (90 h attendance, 180 h private study)
Credit points,
formal requirements		 9 CP
Course requirement(s): Successful completion of at least 50 percent of the points from the weekly exercises.
Examination type: Oral examination (individual examination) or written examination
Language,
Grading		 German,
The grading is done with 0 to 15 points according to the examination regulations for the degree program B.Sc. Business Informatics.
Duration,
frequency		 One semester,
each winter semester
Person in charge of the module's outline Prof. Dr. Christian Rieger

Contents

Introduction to Operations Research. Linear Optimization. Integer optimization and network flow problems as appropriate.


Qualification Goals

The students

  • know the structural basics of linear optimization problems and understand the basic operation of these methods,
  • can present the meaning of central concepts, for example from duality theory, and recognize them in the discussion of optimization problems,
  • know the structural basics of integer optimization problems and understand the basic operation of these methods,
  • know methods of operations research,
  • are able to select problem-adapted methods
  • have the basic knowledge for advanced modules on general optimization problems,
  • are able to apply mathematical working methods (development of mathematical intuition and its formal justification, training of abstraction skills, reasoning),
  • are able to speak freely about scientific content, both in front of an audience and in a discussion.

Prerequisites

None. The competences taught in the following modules are recommended: either Linear Algebra I or Basic Linear Algebra, either Analysis I or Basic Real Analysis.


Applicability

Module imported from B.Sc. Business Informatics.

It can be attended at FB12 in study program(s)

  • B.Sc. Data Science
  • B.Sc. Computer Science
  • B.Sc. Mathematics
  • B.Sc. Business Informatics
  • B.Sc. Business Mathematics
  • M.Sc. Mathematics
  • LAaG Mathematics

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

  • Matthias Gerdts Frank Lempio, Mathematische Optimierungsverfahren des Operations Research, De Gruyter, 2010



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.