Facts about the course

Study points:
Responsible department:
Faculty of Logistics
Course Leader:
Irina Gribkovskaia
Lecture Semester:
Teaching language:
½ year

LOG716 Mathematical Modelling in Logistics (Autumn 2018)

About the course

The mathematical models will be related to logistics problems taken from production planning, distribution planning, and combinations of these. The course also deals with logistic relations and the use of discrete variables in modelling. During this semester, the software programme, AMPL with CPLEX, will be used. The course is a combination of selected topics in logistics and an introduction to the use of software programmes.

The course is connected to the following study programs

Recommended requirements

A quantitative background is required.

The student's learning outcomes after completing the course

After completing the course the student will

  • become familiar with using software to solve linear models
  • get experience and training in developing and solving mathematical models, and to analyze the result.


Forms of teaching and learning

3 hours of lectures per week plus exercizes in computer class.

Coursework requirements - conditions for taking the exam

  • Mandatory coursework: Assignment(s)
  • Courseworks given:
  • Courseworks required:
  • Presence: Not required
  • Comment: Several home assignments


  • Form of assessment: Oral school assessment
  • Proportion: 100%
  • Duration: -
  • Grouping: Individual
  • Grading scale: Letter (A - F)
  • Support material: Separate list, see below


Click here for reading list