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Malmö universitet

Syllabus, valid from 2024-01-15

Syllabus, valid from 2024-01-15

Title

Introduction to Numerical Analysis

Swedish title

Numerisk analys

Course code

MA623E

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

Establishment date

2022-01-19

Syllabus approval date

2022-02-14

Syllabus valid from

2024-01-15

Level

Advanced level

Entry requirements

  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

Main field

No main field.

Progression level

A1F

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 learn certain fundamental methods for identifying numerical solutions to linear and non-linear equation systems, integrals, optimisation problems, interpolation and to be able to apply these methods to solve simplified problems in materials science.

Course contents

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.

Learning outcomes

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.

Learning activities

Lectures, exercises, computer laboratory sessions and independent study.

Assessment

Requirements for pass (grade A-E): Passed laboratory report (1 credit), seminars (1 credit) and passed written exam (5.5 credits).
The final grade is based on the written exam.

Course literature

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

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.