1. Bachelor's degree of at least 180 credits within material engineering, machine engineering, physics, chemistry or the equivalent.
2. At least 22.5 credits of Mathematics.
3. English 6 from Swedish secondary school or the equivalent
4. Passed courses: MA620E Scientific Programming, 7,5 hp

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

The course comprises:

• accuracy and convergence for numeric approximation;
• linear and non-linear equation system;
• least square method and data adaptation;
• interpolation;
• optimisation;
• numerical differentiation and integration; and
• Runge-Kutta method for ordinary differential equations.

Knowledge and understanding
Once the course is completed, the student shall:

• be able to identify different types of numerical approximations;
• demonstrate the ability to set up correct algorithm for numerical calculation;
• demonstrate the ability to perform stability and convergence analysis for different types of numerical schedules;
• demonstrate the ability to implement numerical algorithms in computer programs such as Matlab; and
• apply these methods to simulate certain problems within materials science.

Skills and abilities

Once the course is completed, the student shall:
• demonstrate the ability to plan the correct setup of formula for numerical calculations; and
• demonstrate the ability to conduct numerical simulations via computer programs.

Judgement and approach

Once the course is completed, the student shall:
• demonstrate the ability to understand strengths and weaknesses of applied methods;
• demonstrate the ability to evaluate whether the obtained calculation results concur with expectations; and
• demonstrate the ability to follow and take part in developments within the area of numerical calculations.

Lectures, exercises, computer laboratory sessions and independent study.

Requirements for pass (grade A-E):

Passed laboratory report (1 credit, learning outcomes: 2,6,7)
Seminars (1 credit, learning outcomes: 1,8 and 9)
Written exam (5.5 credits).

The final grade (A-E) is based on the written exam.

• Heath, Michael. Scientific computing: An introductory survey, 2nd edition, McGraw-Hill, 2002

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).

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.

If a student has a Learning support decision, the examiner has the right to provide the student with an adapted test, or to allow the student to take the exam in a different format.

The syllabus is a translation of a Swedish source text.