Course Instructor: Prof. Fliedner/Prof. Haase

Course Value: 2 SWS or 5 LP

Teaching language: English

Registration: via Email to  ana-jelena.peric@uni-hamburg.de

Course Objectives:

This course builds up on the fundamentals of linear and combinatorial optimization and equips students with a set of advanced modeling tools to solve optimization models from different fields of application. Students learn to formulate optimization models as   mixed- integer linear programs, how to solve them with standard software and how to construct heuristic solution algorithms. Successful participants will be able to deal with the  complexity of real-world decision problems via aggregation, relaxation, and decomposition techniques. This course is aimed at Ph.D. students in information systems, business administration, and computer science. Participants are expected to have a solid understanding of the basics of modeling and optimization and will be provided with an advanced understanding of algebraic optimization models and solution  methods

Student evaluation:

Successful completion of work assignments