General Information

Here you will find the lectures that are offered on a Bachelor level.

If you would like to attend a Seminar or write your Bachelor Thesis at our chair, please participate in the allocation procedure, organized by Dr. Jürgen Blank.

For further information please contact
Konstantin Kloster,
Marvin Caspar, or
Daniel Schermer to receive information about available topics.

Summer Term

Basics of Data Science

Content

Please refer to the Modulhandbuch.

 

Further Information

Lecturer(s):

Prof. Dr. Oliver Wendt

Associate Prof. Dr. Mahdi Moeini

Konstantin Kloster, M.Sc.

Materials:

All learning materials are available in Olat.

Management Science (Operations Research)

Content

  • Management Science 1 (Operations Research 1):
    • Introduction to Operations Research: planning models and methods.
    • Networks, graphs, and their applications: Paths in graphs, networks, flows in graphs, transportation problem
    • Linear Optimization: basic model structures, Simplex algorithm, special LP structures, different phases of Simplex, variables with lower and upper bounds, post-optimality analysis (sensitivity analysis), parametric optimization, applications and modeling, duality.
    • Integer linear optimization: Examples and case studies, Branch & Bound, Cutting Planes.
    • Stochastic Processes: Queueing theory, simulation of stochastic processes.
  • Management Science 2 (Operations Research 2):
    • 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.
    • Heuristics: problem search methods (A*-algorithm), local search methods, Simulated Annealing, Genetic Algorithms.

Further Information

 

Lecturer(s):

Prof. Dr. Oliver Wendt

Daniel Schermer

Materials:

All learning materials are available in Olat.

 

Winter Term

Information Systems

Content

  • Information- and knowledge management
  • Planning, realization and introduction of application systems
  • Analysis and design of internal and intercompany processes
  • Fundamentals of IT networking
  • Selected areas of business informatics
  • Object oriented modelling
  • Introduction to Python

Further Information

Lecturer(s):

Prof. Dr. Oliver Wendt

Konstantin Kloster, M.Sc.

Materials:

All learning materials are available in Olat.

Basics of Data Science
Information Systems
Management Science (Operations Research)