Business Information Systems & Operations Research

General Information (Summer Term)

Here you will find the lectures that are offered during the summer term. Please note that the master's level lectures follow a modular structure (refer to Exams & Module Structure).

If you would like to attend a seminar or if you are interested in doing your bachelor's or master's thesis at our chair, please contact 

Manuel Hermes,
Konstantin Kloster,
Dr. habil. Mahdi Moeini, or
Daniel Schermer to receive information about available topics.

Important Links

  • KIS: dates of lectures and exams
  • OpenOLAT: further information and materials

Bachelor's Level Courses

in the Summer Term

Operations Research

Content

  • 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.
  • 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.

Date

Thursday, 16:00 - 17:30 (42-115)

Friday, 12:00 - 13:30 (46-215)

Materials

Master's Level Courses

in the Summer Term

Betriebliche Standardsoftware im Prozessmanagement

Content

  • This block course demonstrates the implementation of operational processes in the standard software SAP ERP by means of case studies.
  • Starting points are the models and optimization approaches exemplified in "Business Process Management".

Date

To be announced.

Materials

Lecture notes are going to be available.

Introduction to Multiagent Systems

Content

  • Characteristics of Multi-Agent Systems
  • Intelligent Agent and System Architectures
  • Agent Communication and Ontologies
  • Distributed planning, problem solving, and learning methods in Multi-Agent Systems
  • Simulation, game theory and economic aspects of Multi-Agent Systems.
  • Industrial applications: Multi-Agent Systems in logistics, supply-chain management and IT resource management.

Date

To be announced.

Materials

Lecture recordings will be made available in OLAT.

Exercises to Multiagent Systems

Content

  • Design and prototypical implementation of solution methods with Mutli-Agent Systems.
  • Tasks will be given by the chair and concern supply-chain management (trading agent competition), coordination of service networks, logistics, or others.
  • A short report and presentation of results is required.

Materials

Link to OLAT

Introduction to Computational Intelligence

Content

  • Introduction
  • Heuristics
    • Easy versus hard optimization problems
    • Problem Space Search: A*-algorithm
    • Solution Space Search: local search, simulated annealing, tabu search, variable neighborhood search
    • Population-based Search: genetic algorithms, artificial ants, swarm optimization
  • Modeling and Programming
    • Initiation to programming with Python
    • Mathematical modeling
    • Initiation to solver Gurobi
  • Bayesian Belief Networks
  • Cooperative Simulated Annealing
  • Reinforcement Learning, supervised and unsupervised learning, ...
  • Artificial Neural Networks
  • Yield Management

Date

Due to the current pandemic situation, the lectures will be as recorded videos.

Any further new information will be published on the OLAT page in which you can register. The OLAT page is protected by a password that you can ask it from Dr. habil. Mahdi Moeini: mahdi.moeini(at)wiwi.uni-kl.de

To avoid spams and stealthy registrations, only registrations with a valid RHRK e-mail address are permitted. Any registration by home-based e-mail addresses will be removed from the OLAT page without any further warning. Once you are on the OLAT page, you should register (check the left menu of the page) to be enrolled in the corresponding course(s) (CI or OLS or both).

Materials

All learning materials will be available on the OLAT page.

Optimization of Logistic Systems

Content

  • Introduction
    • Classification of Logistic Systems
    • Logistic Demand Analysis
  • Logistic Network Design
    • Location Problems
    • Inventory Management
    • Warehouse design and management
  • Long-HaulTransportation
  • Short-Haul Transportation

Lecturers

Date

Due to the current pandemic situation, the lectures of "Optimization of Logistic Systems" will take place online. The schedule of the lectures will be announced as soon as it becomes ready and only on the OLAT page.

Any further new information will be published on the OLAT page in which you can register. The OLAT page is protected by a password that you can ask it from Dr. habil. Mahdi Moeini: mahdi.moeini@wiwi.uni-kl.de

To avoid spams and stealthy registrations, only registrations with a valid RHRK e-mail address are permitted. Any registration by home-based e-mail addresses will be removed from the OLAT page without any further warning. Once you are on the OLAT page, you should register (check the left menu of the page) to be enrolled in the corresponding course(s) (CI or OLS or both).

Materials

All learning materials will be available on the OLAT page.

Zum Seitenanfang