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Intelligent Scheduling: Algorithms, Complexity, and AI in Operations

MGTHN0200Electives in Management6 ECTSEnglishUnregelmäßigLehrstuhl für Advanced Analytics in Manufacturing (Prof. Otto)
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You deal with automated, intelligent planning systems for modern production environments. In the end you will understand the complexity of scheduling problems, apply exact and approximate solution approaches, and use AI-supported heuristics for operations planning as well as interpret results for management and operation.

What you will be able to do

  • Understand the basics of scheduling complexity
  • Apply exact and approximate solution approaches
  • Use AI and advanced heuristics for scheduling
  • Analyze and interpret results in management- and operations-relevant contexts

What the module consists of

  • VorlesungIntroduction to theoretical concepts with examples and discussions
  • ÜbungssitzungenProgramming and independent application of the treated algorithmic concepts

Teaching method

  • VorlesungPresent theoretical concepts and explain them with examples
  • Übungen mit AI-unterstütztem CodingIndependent application and deepening of the techniques
  • interaktive DiskussionenFoster understanding and reflect on concepts
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Official page in TUMonline · Details are not binding.