Læringsutbytte

A candidate who has completed the course will have a learning outcome in the form of aquired knowledge, skills, and general competence, as described below.

KNOWLEDGE
The candidate will:

• Understand the standard terminology within scientific computing
• Understand the basic principles and ideas associated with scientific computing
• Understand how to organize and write computer code for simulating dynamic models, and to make it readable and effective

SKILLS
The candidate will:

• Be able to choose, and implement, the right computational methods for the given set of equations, writing structured and efficient computer code for the analysis
• Be able to find, read and understand relevant information in journals, books, internet, etc.
• Be able to draw the right conclusions from the analyses

GENERAL COMPETENCE
The candidate will:

• Be able to communicate/discuss with engineering colleagues problems related to scientific computing and to report work in writing

Innhold

Basic modelling principles and numerical techniques for computing integrals, solving non-linear algebraic equations, solving ordinary and partial differential equations, as well as basic programming skills required for the numerical analysis.

Arbeids- og læringsformer

An online, part-time version of the SCE study programme will start Fall 2015. The present course will be taught online from the fall/spring semester year YYYY. However, the course will continue to be taught also as a traditional campus-based course. The course contents and learning material used in the course will be the same in both programmes, except that in the online programme, the lectures will be in the form of offline video-based lectures, and laboratory assignments will be organized at a gathering on the campus at the end of the semester.

Vurderingsformer

One compulsory project must be graded as "passed" in order to participate in the final test at the end of the semster.

The final test counts 100%.

Det tas forbehold om mindre justeringer i planen.