Scientific Computing KF

5 credits

Syllabus, Bachelor's level, 1TD399

A revised version of the syllabus is available.

Code: 1TD399
Education cycle: First cycle
Main field(s) of study and in-depth level: Computer Science G1N, Mathematics G1N, Technology G1N
Grading system: Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
Finalised by: The Faculty Board of Science and Technology, 16 February 2018
Responsible department: Department of Information Technology

Learning outcomes

To pass, the student should be able to

describe and perform tasks in connection to the key concepts covered in the course;
explain the idea behind and apply the algorithms covered in the course;
explore properties for numerical methods and mathematical models by using the analysis methods covered in the course;
explain the results when running a MATLAB program, and describe a problem with an algorithm or a programming code in MATLAB, which for instance might include self-written MATLAB functions;
structure and divide a computational problem into sub-problems, formulate an algorithm and implement the algorithm in MATLAB;
solve smaller calculation problems in a structured manner and implement in MATLAB.

Lectures, workouts (problem solving classes), laboratory work, assignments and mini projects.

Written examination (3 credits). Individual assignments and mini project (2 credits).