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Discrete Modelling

  • Number of credits 7.5 credits
  • Level Master’s level
  • Starting Autumn Term 2024

About the course

The course consists of two parts.

Part 1 (4,5 hp): Theory of discrete modelling.
This part of the course treats theory for discrete modelling, from problem formulation and choice of model, via specific model formulation and implementation, to evaluation of appropriateness and effectiveness of the model.

This part of the course starts with general theory for formulating an integer program from a given problem description, and general theory for SAT formulations of optimization and decision problems. In connection to this, complexity theory and the general theory of polynomial reduction from one problem to another. Integer formulations and SAT formulations are then connected to different classes of graph models, in particular network flow problems, matchings, shortest path, graph colouring and the travelling salesman problem. Both exact and heuristic models are studied with regard to effectiveness. Following this, concrete large scale examples of applied discrete modelling are studied, and an introduction to literature search in the area of discrete modelling is given. The theory is concluded with an introduction to simulation using randomized scenarios.

Part 2 (3 hp): Lab assignment.
This part of the course treats implementation of discrete models, and comparisons between different formulations as regards computational efficiency. Further, simulation methods for discrete models are implemented.

 



In a degree, this course may not be included together with another course with a similar content. If unsure, students should ask the Director of Studies in Mathematics and Mathematical Statistics. The course can also be included in the subject area of computational science and engineering.

Application and eligibility

Discrete Modelling, 7.5 credits

Visa tillfällen för föregående termin Autumn Term 2024 Det finns inga senare terminer för kursen

The information below is only for exchange students

Starts

1 November 2024

Ends

3 December 2024

Study location

Umeå

Language

English

Type of studies

Daytime, 100%

Required Knowledge

The course requires 90 ECTS including 15 ECTS in Computer Programming, a course in Linear Programming, a course in Integer Programming on advanced level and a basic course in Mathematical Statistics or equivalent. Proficiency in English and Swedish equivalent to the level required for basic eligibility for higher studies

Selection

Students applying for courses within a double degree exchange agreement, within the departments own agreements will be given first priority. Then will - in turn - candidates within the departments own agreements, faculty agreements, central exchange agreements and other departmental agreements be selected.

Application code

UMU-A5820

Application

This application round is only intended for nominated exchange students. Information about deadlines can be found in the e-mail instruction that nominated students receive. The application period is closed.

Contact us

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Contactperson for the course is:
Study counselor Lars-Daniel Öhman