The course is aimed at doctoral students in the field of business administration or related subjects which seek to deepen their understanding of mathematical programming methods in modeling and optimization. Successful participants will be able to:

  • analyze structural elements of common optimization models for problems in research and business practice
  • understand important theoretical aspects that drive successful implementations for complex optimization problems
  • employ advanced mathematical programming techniques to strengthen model formulations and improve solution performance
  • develop mathematical decomposition approaches to tackle large-scale optimization problems

Date: 6.2.2024 – 9.2.2024

Hamburg University
Raum 0005.1 in der
Moorweidenstrasse 18
20148 Hamburg

Prof. Dr. Malte Fliedner (Universität Hamburg)

Dr. Arne Schulz (Universität Hamburg)


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Registration Deadline: 7. Januar 2024