NMAK13015U Modeling and GAMS (GAMS)

Volume 2013/2014
Education
MSc Programme in Mathematics-Economics
Content

Modeling large-scale optimization problems, implementation and solution in GAMS.

Learning Outcome

At the end of the course the student should have:

  • gained knowledge of large-scale practical opmization problems, relevant mathematical models, and suitable solution methods;
  • acquired skills to comprehend and sort data for large-scale 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 large-scale optimization problems, implementation and solution of such problems in an efficient way by use of the optimization system GAMS.
Operations Research 1 (OR1)
2 - 4 hours of lectures and 8 - 10 hours of project work per week. In addition to this, individual project work.
  • Category
  • Hours
  • Lectures
  • 20
  • Preparation
  • 20
  • Project work
  • 166
  • Total
  • 206
Credit
7,5 ECTS
Type of assessment
Written assignment
2 project reports about the formulation, implementation, and solution of large-scale optimization problem instances.
Marking scale
7-point grading scale
Censorship form
No external censorship
One external examiner.
Criteria for exam assesment

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