91276 - Project Work in Combinatorial Optimization

Learning outcomes

At the end of the course, the student is able to apply the knowledge acquired in Combinatorial Optimization in order to carry out autonomously a project focusing on a topic agreed upon with the teacher.

Course contents

This teaching activity is about developing a project in combinatorial optimization, following the course 91762 - Combinatorial Decision Making and Optimization. Upon request, the teaching stuff can offer suggestions and help in defining the topic and objective of the project work. The student is, however, encouraged to take the initiative by reviewing the relevant literature and proposing a project work, for instance, about:

• hybridization with machine learning;
• a challenging application;
  
• a research topic;
• a literature survey on a research topic.

The proposal has to be approved by the teaching stuff before the student starts working on the project. Working as a group is a possibility depending on the project complexity.

Readings/Bibliography

Scientific papers and pointers provided by the teaching staff,  in addition to the readings and bibliography of the course 91762 - Combinatorial Decision Making and Optimization.

Teaching methods

While the project activity does not require participation to lectures, the student is advised to attend relevant online courses and webinars to improve his/her skills. Once the project aim is approved by the teaching staff, the student starts working in autonomy with regular progress meetings.

Assessment methods

Project report and presentation.

Teaching tools

The student can freely choose any relevant tool for project development and support.

Office hours

See the website of Zeynep Kiziltan