Course unit

Optimization for Decision Support

Last updated: 26/09/2022

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Course Director(s):

ABSI Nabil

General Description:

The objective of this course is to provide an overview of discrete optimisation techniques, focusing on their use in real industrial contexts. At the end of the course, students will be able to participate effectively and collaborate with experts in support of advanced projects.

Key words:

Linear programming integer programming exact methods metaheuristics

Number of teaching hours

21

Fields of study

Teaching language

English

Intended learning outcomes

On completion of the unit, the student will be capable of: Classification level Priority

Learning assessment methods

Percentage ratio of individual assessment Percentage ratio of group assessment
Written exam: % Project submission: %
Individual oral exam: % Group presentation: %
Individual presentation: 100 % Group practical exercise: %
Individual practical exercise: % Group report: %
Individual report: %
Other(s): %

Programme and content

Type of teaching activity Content, sequencing and organisation
Lecture

Overview of optimisation techniques.

Optimisation in practice

Introduction to multi-criteria decision analysis

Presentation of an article (Interfaces article provided in 1)