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
Pass with distinction, Pass with credit, Pass, Fail
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.

Instruction

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

Assessment

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

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