Course syllabus for Project course in mathematical and statistical modelling

Course syllabus adopted 2021-02-26 by Head of Programme (or corresponding).

Overview

  • Swedish nameProjektkurs i matematisk och statistisk modellering
  • CodeMVE385
  • Credits7.5 Credits
  • OwnerMPENM
  • Education cycleSecond-cycle
  • Main field of studyMathematics
  • DepartmentMATHEMATICAL SCIENCES
  • GradingTH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail

Course round 1

  • Teaching language English
  • Application code 20125
  • Open for exchange studentsYes

Credit distribution

0112 Examination 7.5 c
Grading: TH		 7.5 c
  • Contact examiner

In programmes

Examiner

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Eligibility

General entry requirements for Master's level (second cycle)
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.

Specific entry requirements

English 6 (or by other approved means with the equivalent proficiency level)
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.

Course specific prerequisites

Optimization,  Statistical inference, Mathematical modelling

Aim

Insight in what it means to plan and conduct a real-life or real-life-like mathematical or statistical modeling project.

Learning outcomes (after completion of the course the student should be able to)

  • Apply mathematical and/or statistical methods to model and solve real-world problems.
  • Have insight in the use of mathematics and statistics in industry.
  • Have established contacts and communication with industry.

Content

Real-life or real-life-like projects from industrial partners, to be solved in communication with these partners. Lectures on innovation theory, innovation systems and commercialization. Visits to the partners and their companies.

Organisation

The main part of the course consists of work on projects in groups, with regular supervision. There will also be a few mandatory lectures.

Literature

Scientific papers related to the individual projects.

Examination including compulsory elements

Satisfactory project reports delivered to the partners. Written and oral presentations of the projects. Compulsory presence at lectures and taking part in activities in connection with these.

The course examiner may assess individual students in other ways than what is stated above if there are special reasons for doing so, for example if a student has a decision from Chalmers on educational support due to disability.