Course syllabus spring 2025
Course syllabus spring 2025
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
Entry requirements
- Bachelor's degree of at least 180 credits within material engineering, machine engineering, physics, chemistry or the equivalent.
- At least 22.5 credits of Mathematics.
- English 6 from Swedish secondary school or the equivalent
- Passed courses: MA620E Scientific Programming, 7,5 hp
Level
Advanced level
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.