Learning outcome

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

Course Description

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.

Teaching and Learning Methods

Lectures, exercises and assignments are used for the campus-based course.

An online, part-time version of the IIA study programme was started Fall 2015 (then denoted SCE - Systems and Control Engineering). Online part-time versions of the PT and EET study programmes are started Fall 2016. An online version of the present course is taught according to the online, part-time IIA, PT and EET study programmes. The course will continue to be taught as a traditional campus-based course, as well. The course contents and the learning material used in the course will be the same in the online and the campus-based programmes, however with some differences in the organization of the course: In the online version of the course, there are no ordinary lectures. A number of relevant videos produced by the instructor(s), or external videos, are provided, both for the online course and for the campus-based course.

Assessment Methods

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%.

Minor adjustments may occur during the academic year, subject to the decision of the Dean