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Malmö universitet

Course syllabus

Autumn 2020

Course syllabus, Autumn 2020

Title

Scientific Programming

Swedish title

Teknisk programmering

Course code

MA620A

Credits

7.5 credits

Grading scale

UA / Excellent (A), Very Good (B), Good (C), Satisfactory (D), Pass (E) or Fail (U)

Language of instruction

English

Decision-making body

Faculty of Technology and Society

Syllabus valid from

2019-09-02

Syllabus approval date

2018-08-16

Level

Advanced level

Entry requirements

1. Degree of Engineering in Mechanical Engineering or a degree in a related field. All degrees must be equivalent to at least 180 higher education credits.
2. At least 22.5 credits of Mathematics.
3. The equivalent of English B in Swedish secondary school or equivalent

Main field

No main field.

Progression level

A1N / Second cycle, has only first-cycle course/s as entry requirements

Progression level in relation to degree requirements

This course is included in Materials Science: Master Programme (two years).

Course objectives

The course objective is for the student to develop knowledge and skills in technical programming in Matlab/GNU Octave, with a focus on application within numerical analysis.

Course contents

The course covers:
• data structures, files, in and out data, arithmetic operations, vectors, matrices, graphics;
• syntax: for, if-else, while, inbuilt functions, user-defined functions and m-files;
• applications within linear equation system, non-linear equations, interpolation and extrapolation, least square approach to measurement data, numerical differentiation, integration; and
• interpretation and validation of results.

Learning outcomes

Knowledge and understanding
Once the course is completed, the student shall:
• demonstrate knowledge of the programming element in Matlab/GNU Octave; and
• demonstrate understanding of how programming can be applied to solve problems within numerical analysis.
Skills and abilities
Once the course is completed, the student shall:
• demonstrate the skills to write and develop programs in Matlab/GNU Octave;
• demonstrate the ability to develop programs to solve problems within numerical analysis;
• demonstrate the ability to detect errors in the implemented numerical methods; and
• demonstrate the ability to describe and document the results of a programming project.
Judgement and approach
Once the course is completed, the student shall:
• demonstrate the ability to critically investigate and evaluate performance and the suitability of a program to solve problems within numerical analysis.

Learning activities

Lectures and computer laboratory sessions (approximately 40 hours) and independent study (approximately 160 hours).

Assessment

Requirements for pass (grade A-E): Passed programming assignments (2.5 credits), passed project (1 credit) and passed written exam (4 credits).
The final grade is based on programming assignments and project which are weighted.

Course literature and other study material

  • Chapman, Stephen J. (2015). MATLAB programming for engineers. Fifth edition. Australia: Cengage Learning

Course evaluation

The University provides students who are taking or have completed a course with the opportunity to share their experiences of and opinions about the course in the form of a course evaluation that is arranged by the University. The University compiles the course evaluations and notifies the results and any decisions regarding actions brought about by the course evaluations. The results shall be kept available for the students. (HF 1:14).

Interim rules

When a course is no longer given, or the contents have been radically changed, the student has the right to re-take the examination, which will be given twice during a one year period, according to the syllabus which was valid at the time of registration.

Additional information

The syllabus is a translation of a Swedish source text.