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.

• 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.

Lecturer(s):

Prof. Dr. Oliver Wendt

Marvin Caspar

Materials:

All learning materials are available in OLAT.

• 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

Lecturer(s):

Prof. Dr. Oliver Wendt

Konstantin Kloster, M.Sc.

Materials:

All learning materials are available in Olat.

Artificial Intelligence I:

• An introductory course to Python
• Array/tensor processing and vectorization
• Basics of parallel programming

Artificial Intelligence II:

• Introduction to Artificial Intelligence
• Linear Models
• Neural Networks
• Intro to Convolutional Neural Networks
• Intro to Reinforcement Learning

Lecturer(s):

Prof. Dr. Oliver Wendt

Konstantin Kloster, M.Sc.

Materials:

All learning materials are available in Olat.