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, 15 May 2017
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 might include self-written MATLAB functions);
structure and divide a computational problem into sub-problems, formulate an algorithm and implement the algorithm in MATLAB;
in a short report explain and summarise solution methods and results in a lucid way.

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

Written examination (3 credits) and mini projects presented in writing (2 credits).