- Newman, M. (2012). Computational Physics. U.S.: CreateSpace
In addition to the above mentioned literature, access is offered to a written educational material:
- Jönsson, P; Ekman, J (2021). Scientific Programing with Python, Malmö
EduSinglePage
Course offered as a part of a programme
Course, master’s level
7.5 credits
Malmö | daytime | 50%
1 September 2025 - 9 November 2025
Code for the course: MA620E
About the course
The course objective is for the student to develop knowledge and skills in technical programming with a focus on applications within numerical analysis.
This course is offered as part of programme:
Course content
- Data structures, files, inbound and outbound data, arithmetic operations, vectors, matrices, graphics;
- For and while loops, if-else, built-in functions and user-defined functions;
- Applications within linear equation system, non-linear equations, interpolation and extrapolation, least square approach to measurement data, numerical differentiation, integration, differential equations; and
- Interpretation and validation of results.
Entry requirements
1. Bachelors degree in material science, machine science, physics, chemistry or the equivalent.
2. At least 22.5 credits of Mathematics.
3. The equivalent of English 6 in Swedish secondary school.
Course literature
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).
