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Blockveranstaltung: 03-IBFW-HTO Optimization Bootcamp - Details

Blockveranstaltung: 03-IBFW-HTO Optimization Bootcamp - Details

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General information

Course name Blockveranstaltung: 03-IBFW-HTO Optimization Bootcamp
Subtitle
Course number 03-IBFW-HTO
Semester SoSe 2025
Current number of participants 20
Home institute Informatik
Courses type Blockveranstaltung in category Teaching
First date Monday, 14.07.2025 09:00 - 17:00, Room: MZH 5500
Type/Form Kurs
Englischsprachige Veranstaltung Ja
ECTS points 3

Rooms and times

MZH 5500
Monday, 14.07.2025 - Friday, 18.07.2025 09:00 - 17:00

Module assignments

Comment/Description

https://lvb.informatik.uni-bremen.de/igs/03-ibfw-hto.pdf
A large number of problems arising in practical scenarios like communication, transportation, planning, logistics etc. can be formulated as discrete linear optimization problems. This course briefly introduces the theory of such problems. We develop a toolkit to model real-world problems as (discrete) linear programs. We also explore several ways to find integer solutions such as cutting planes, branch & bound, and column generation.

Throughout the course, we learn these skills by modeling and solving, for example, scheduling, packing, matching, routing, and network-design problems. We focus on translating practical examples into mixed-integer linear programs. We learn how to use solvers (such as CPLEX, Gurobi, Xpress and free ones) and tailor the solution process to certain properties of the problem.

This course consists of two phases:

- One week Mon-Fri (full day, 9-5) of lectures and practical labs: July 14-18, in MZH.
- A subsequent project period: One problem has to be modeled, implemented, and solved individually or in a group of at most three students. The topic will be provided by the lecturers and will be discussed on the last day of the block course. The project including the implementation has to be presented in the beginning of the winter semester.

There are no prerequisites except some basic programming skills to participate.

Registration mode

After enrolment, participants will manually be selected.

Potential participants are given additional information before enroling to the course.