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Discrete Optimization

CIT413041Elective Modules9 ECTSEnglishwinter semesterDepartment Mathematics
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You will learn central concepts and algorithms of linear integer optimization and combinatorial optimization. In the module you will analyze mathematical structures that allow efficient solution methods, and you will be able to model real problems as discrete optimization problems and identify special cases that are efficiently solvable.

What you will be able to do

  • Understand fundamental concepts of discrete optimization
  • Recognize mathematical structures in integer and combinatorial optimization
  • Exploit suitable efficient solution methods
  • Model real problems as discrete optimization problems
  • Identify special cases that are efficiently solvable

What the module consists of

  • VorlesungDelivery of content through examples and discussion; impetus for independent study
  • ÜbungenDeepening understanding through problem sheets and solutions after each lecture

Teaching method

  • VorlesungIntroduction to concepts and examples, motivation for individual engagement and for literature study
  • ÜbungsgruppenApplying and practicing lecture content through problems and solutions

Dates

LectureDiscrete Optimization [CIT413041]2 groups to choose from

  • AThu12:15–13:4500.5901.051, Hörsaal (5901.EG.051)
    14× · 15.10.–04.02.
    • 15.10.
    • 22.10.
    • 29.10.
    • 05.11.
    • 12.11.
    • 19.11.
    • 26.11.
    • 10.12.
    • 17.12.
    • 07.01.
    • 14.01.
    • 21.01.
    • 28.01.
    • 04.02.
  • BFri12:00–14:00102, Hörsaal 2, "Interims I" (5620.01.102)
    15× · 16.10.–05.02.
    • 16.10.
    • 23.10.
    • 30.10.
    • 06.11.
    • 13.11.
    • 20.11.
    • 27.11.
    • 04.12.
    • 11.12.
    • 18.12.
    • 08.01.
    • 15.01.
    • 22.01.
    • 29.01.
    • 05.02.

From the current semester, not binding. You attend one of several groups; the timetable automatically suggests the one with the fewest clashes.

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Official page in TUMonline · Details are not binding.