Gams and Modelling

Course content

The contents of other operations research courses (such as OR1) cover the fundaments and theoretical exercises of basic mathematical programming such as linear programming. This course is more practical and focuses on the modeling, implementation and solution using GAMS of real-life problems in the fields of transportation, energy and economics.


MSc Programme in Mathematics-Economics


Learning outcome

At the end of the course the student should have:

  • gained knowledge of practical opmization problems, relevant mathematical models, and suitable solution methods;


  • acquired skills to comprehend and sort data for optimization problems, present a correct problem description based on data, formulate linear programming models for large-scale optimization problems, both with continuous and integer variables, implement and solve such problems in GAMS, and analyze the solutions;


  • obtained competences within formulation and discussion of mathematical models for optimization problems, implementation and solution of such problems in an efficient way by use of the optimization system GAMS.

1 x 2 hours of lectures and 2 x 2 hours of exercises/project per week for 7 weeks. In addition to this, individual project work.

Operations Research 1 (OR1)

7,5 ECTS
Type of assessment
Oral examination, 30 minutes
30 minutes oral examination with 30 minutes preparation time.
Only certain aids allowed

During the preparation time, all written aids allowed.

In the examination, some written aids allowed (keywords, main results of project, etc.)

Marking scale
7-point grading scale
Censorship form
No external censorship
Two internal examiners.
Criteria for exam assessment

The student must in a satisfactory way demonstrate that he/she has mastered the learning outcome of the course.

Single subject courses (day)

  • Category
  • Hours
  • Lectures
  • 14
  • Class Instruction
  • 28
  • Exam
  • 1
  • Preparation
  • 91
  • Project work
  • 72
  • English
  • 206