052312 VO Computational Optimisation (2021W)

3.00 ECTS (3.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik

REMOTE

Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

Language: English

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

The lecture will take place partially in presence and remote. Detailed information will be published in Moodle.

Monday 04.10. 18:30 - 20:45 Digital
Monday 11.10. 18:30 - 20:45 Digital
Monday 18.10. 18:30 - 20:45 Digital
Monday 25.10. 18:30 - 20:45 Digital
Monday 08.11. 18:30 - 20:45 Digital
Monday 15.11. 18:30 - 20:45 Digital
Monday 22.11. 18:30 - 20:45 Digital
Monday 29.11. 18:30 - 20:45 Digital
Monday 06.12. 18:30 - 20:45 Digital
Monday 13.12. 18:30 - 20:45 Digital
Monday 10.01. 18:30 - 20:45 Digital
Monday 17.01. 18:30 - 20:45 Digital
Monday 24.01. 18:30 - 20:45 Digital

Information

Aims, contents and method of the course

This course gives an introduction to various topics of Computational Optimisation, with an emphasis on discrete ("combinatorial") problems.
Topics addressed include:
- Mathematical Programming
- Discussion of various classical discrete optimization problems (facility location, traveling salesperson, ...)
- Theory of NP-completeness
- Metaheuristics
- Problems on Graphs and Networks (Maximum Flow, Spanning/Steiner tree and variants)
- Nonlinear Optimization Methods (e.g., Frank-Wolfe Method)

This course is done as lecture; there is an accompanying exercise-part as an own course, students are encouraged to take both courses in the same semester.

Due to the current Covid-19 situation, the course will presumably be given in digital form (online via MS Teams, at the times assigned to the course). Switches between physical and digital presentation will be announced to the participants in time.

Assessment and permitted materials

Oral exam after the semester (presumably online). Four "Sammeltermine" will be announced, candidates should register to one of them.

Minimum requirements and assessment criteria

At least half of the questions at the exam must be correctly answered to pass the course.

Examination topics

For each of the two parts of the course (each given by one of the two lecturers), slides will be made available to the participants. The content of these slides defines the topics of the exam.

Reading list

Any introductory textbook on integer programming/combinatorial optimization should cover most/all of the topics.

Association in the course directory

Module: SWI STW CO

Last modified: Fr 12.05.2023 00:13