Type of course

Doctorate level

Theoretical. (Åpen for UiT sine ph.d.-studenter (kategori 1) og åpen for følgende kategorier av enkeltemnestudenter:

- kategori 2: Deltakarar på UiT sitt førstelektorprogram som fyller utdanningskravet.

- kategori 3: Doktorgradsstudentar frå andre universitet.

- kategori 4: Personar med minimum mastergrad eller tilsvarande som ikkje er doktorgradsstudentar.)

Application codes for categories 2, 3, 4:

- 9301 For course with exam in August or January.

- 9303 For course with application deadline June 1 or December 1.

- 9305 For course with application deadline August 1 or February 1.

Last dates for course registration and registration for examination are September 1 for the fall semester, and February 1 for the spring semester.

PhD students or holders of a Norwegian master´s degree of five years or 3+ 2 years (or equivalent) may be admitted (categories 3 and 4 above). PhD students must upload a document from their university stating that they are registered PhD students. This group of applicants does not have to prove English proficiency and are exempt from semester fee.

Holders of a Master´s degree must upload a Master´s Diploma with Diploma Supplement / English translation of the diploma. Applicants from listed countries must document proficiency in English. To find out if this applies to you see the following list:

Proficiency in English must be documented - list of countries.

For more information on accepted English proficiency tests and scores, as well as exemptions from the English proficiency tests, please see the following document: Proficiency in English - PhD level studies.

The course will be cancelled if less than five participants.

Admission requirements

General admission requirements for PhD.-program at UiT.

Offered irregularly. The course will be cancelled if less than five participants.

Recommended knowledge: Knowledge in the subjects of applied mathematics, numerical methods, partial differential equations.

Course content

Objectives of the course

Knowledge:

• The candidate will learn the basics of Multiphysics simulation and acquire important knowledge about setting up one.
• The candidate will learn certain advanced concepts in relation to the mechanics of materials and fluid mechanics/heat transfer.

Skills:

• Candidates will understand the term Multiphysics and its relation to practical problems.
• Candidates will build knowledge in discretization techniques used in Multiphysics simulations such as Finite Element Method (FEM), Finite Difference Method (FDM), Finite Volume Method (FVM), etc.
• Candidates will discretize the partial differential equations (PDE) of structures, fluid mechanics, and heat transfer.
• Candidates will apply the correct boundary and initial conditions in solving the Multiphysics simulation problems.
• Candidates will also learn about the use of computational resources in solving Multiphysics simulation problems.

General Competence:

• The candidate will be able to appreciate the importance of Multiphysics simulation for engineering applications.
• The candidate will also build an understanding of the margin of error between real cases to simulated ones.

Language of instruction and examination

Teaching methods

Recommended reading/syllabus