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Instructors: Prof. Dr. rer. nat. Stefan Ulbrich; Prof. Dr. rer.nat. Winnifried Wollner
Event type:
Seminar
Org-unit: Dept. 04 - Mathematics
Displayed in timetable as:
Sem. (opt)
Subject:
Crediting for:
Hours per week:
2
Language of instruction:
German
Min. | Max. participants:
- | -
Course Contents:
In the seminar selected topics regarding theory, algorithms, numerics and applications in optimization are covered from the following areas:
- convex optimization
- optimization for data analysis/machine learning
- optimization under uncertainty
- optimization problems in economics and engineering
- game theory
A subsequent Bachelor thesis is possible.
Literature:
Literature will be announced in the preliminary meeting and can afterwards be browsed and selected online.
Preconditions:
Introduction to Optimization
Expected Number of Participants:
max. 20
Further Grading Information:
In the second or third week of the summer term there will be a preliminary meeting. The precise date will be announced soon via TUCaN. In this meeting possible topics are presented.
Additional Information:
The seminar will be held en bloc at the end of the winter term 2019/20.
Online Offerings:
The material for the seminar topics will be available in TUCaN after the preliminary meeting to select an appropriate topic.
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