Module Handbook

  • Dynamischer Default-Fachbereich geändert auf WIW

Course WIW-BWL-MS2-K-2

Management Science II (1V+1U, 3.0 LP)

Course Type

SWS Type Course Form CP (Effort) Presence-Time / Self-Study
- K Lecture with exercise classes and tutorials (V/U/T) 3.0 CP
1 V Lecture 15 h 30 h
1 U Exercise class/tutorial (in small groups) 15 h 30 h
(1V+1U) 3.0 CP 30 h 60 h


CP, Effort 3.0 CP = 90 h
Position of the semester 1 Sem. in SuSe
Level [2] Bachelor (Fundamentals)
Language [EN] English
Area of study [WIW-WIN] Business Information Systems and Operations Research
Livecycle-State [NORM] Active


Size of exercise classes/tutorials:
  • tutorials: max. 30 students
  • exercise classes: max. 150 students


Lectures Management of Science 2:
  • Stochastic Processes
    • Queueing theory, Simulation of stochastic processes
  • Heuristics
    • Problem search methods (A*-Algorithm), local search methods, Simulated Annealing, Genetic Algorithms
  • Nonlinear Optimization
    • Unconstrained and constrained nonlinear problems and models, Convex optimization, Karush-Kuhn-Tucker-conditions, lagrangian method
    • Quadratic optimization (Wolfe’s Algorithm), approximation methods (Golden Section, Gradient Method),
    • Barrier methods, Penalty methods

Exercises of Management Science 2:

  • Applying the taught algorithms
  • Presenting assignments
  • Tutorials


  • Hamdy A. Taha: Operations Research - An Introduction, 10 Aufl. (Global Edition), Pearson 2017.
  • Müller-Merbach: Operations Research - Methoden und Modelle der Optimalplanung, 3. Aufl., München: Vahlen 1973.

Slides with in-depth references for further reading will be made available.

Exercise materials will be provided.

Requirements for attendance (informal)


Requirements for attendance (formal)


References to Course [WIW-BWL-MS2-K-2]

Module Name Context
[WIW-BWL-MS2-M-1] Management Science II P: Obligatory 1V+1U, 3.0 LP