Computational Analytics Seminar

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+49 241 80-96502

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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
 

Learning Goals

  1. work independently on a topic from the field of Operations Research and Data Analytics
  2. document and present the results in a professional manner.
 

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