Attention! For this module, the number of participants is limited. Information on how to register can be found at the faculty's website. In case you have not been admitted or missed the registration deadline, please contact us via email (see below).
Computational Analytics Seminar
Content
This seminar focuses on methods from the fields of data analytics and optimization (heuristic as well as exact) that are applied to solve planning problems in production and supply chain management, logistics, and agriculture. Examples of topics are transportation planning, location planning, network optimization, districting, warehouse management, personnel scheduling, machine scheduling, vertical farming, robust optimization, constraint programming, machine learning, and big data analytics. Some of the topics are developed together with our industry partners, e.g., with Deutsche Post DHL Group. Students work on the topics individually or in small groups. The developed methods are implemented in a high-level programming language or using suitable standard software.
The successful completion of the topic includes a relevant implementation part.
Profile
| Language: | English/German |
| Prerequisites: |
Basic knowledge in (1) linear optimization, (2) integer programming, or (3) heuristic optimization are required. Programming skills or experience in using optimization software like Gurobi or Cplex is required. Previous knowledge in the field of Data Analytics is advantageous. |
| Grading: | 80% seminar paper, 20% presentation |