Operations Research

Lecture Information

 

Operations Research refers to the field of research that deals with the development and application of mathematical methods to prepare optimal decisions. A large number of problems exist in the business environment that can be solved with the methods of Operations Research.

The event provides an overview of procedures for solving quantitative business decision problems:

  • Linear Optimization and Simplex Algorithm
  • Graph theoretical Decision Methods
  • Integer and combinatorial Optimization
  • Job Scheduling
  • Queueing Theory
Goals
The students
  • know the basics of mathematical optimization and operations research.
  • are able to model, solve and interpret simple optimization problems.
  • are able to make fundamental statements regarding the performance and applicability of the discussed methods.
Composition of the Module Examination / Module Grade

Arithmetic mean of the individual notes weighted with CPs.
Examination Requirements
  1. Regular attendance of the lecture with independent preparation and postprocessing
  2. Participation in the exercises within the framework of the lecture with independent preparation and postprocessing
  3. Voluntary additional service: solving exercises for self-study
Examination                                                        

Written exam (60 minutes)
Dates

Lecture: Tuesday 12:00 to 14:00 (LB 107)

Exercise: Thursday 16:00 to 18:00 (Room LX 1205)

Start: 15.10.2019
Literature

• Lecture Notes – Operations Research für WiIngs (WiSe 2018/19, Geldermann)

• Domschke, W., Drexl, A. (2005): Einführung in Operations Research. Springer-Verlag

• Ellinger, T., Beuermann, G., Leisten R. (2003): Operations Research. Eine Einführung. Springer-Verlag

• Nickel, S., Stein, O., Waldmann, K. (2014): Operations Research. Springer-Verlag

Advisor

M.Sc. Erik Pohl

Moodle

Link to course