Applied Operations Research

Course description

Content

The course will introduce the students to the practical aspects of Operations Research. The objective is to provide the competencies necessary to work on Operations Research projects in practice. The course will go through the OR scientist's "toolbox", that is, a minimal set of mathematical and software tools required for developing OR solutions. In addition, it provides significant hands-on experience by means of several exercises and project work on real-world applications.

The course will cover the following content:

• Using mathematical programming to model real-life decision problems
• Using general-purpose programming languages for advanced interaction with optimization solvers
• Decomposition techniques for mathematical programming problems
• Implementation of advanced solution methods
• Introduction to heuristics
• Project work

Recommended academic qualifications

Operations Research 1 (OR1) or similar.
Introduction to Numerical Analysis (NumIntro).

It is also advised, but not necessary, to take this course before other advanced Operations Research courses. Academic qualifications equivalent to a BSc degree is recommended.