Computational Science II
Objectives and Content
The course looks at the whole process within computational science from the formulation of a physical model, to estimation of mathematical properties of the model and to the choice of numerical methods to be used and finally to simulation of the model in a numerical experiment. The course gives insight into programming, graphical plotting of results and experience with advanced computers. The course includes compulsary exercises with emphasis on practical aspects of the methods.
It is a Bachelor's thesis course, usually taken in the third year of a Bachelor degree in Applied Mathematics.
After completed course, the students are expected to be able to:
- Master the basic techniques of mathematical modeling
- Describe the process of implementing a mathematical model
- Use some numerical methods in practice
- Present the investigation results in reports and posters
Required Previous Knowledge
The course is based on at least one course in Programming and 60 ECTS Mathematics.
Recommended Previous Knowledge
Programming, Calculus, Linear Algebra, Differential Equations, Numerics, and non-linear Differential Equations, corresponding to the courses INF100, MAT111, MAT112, MAT121, MAT131, MAT160, and MAT230.
Compulsory Assignments and Attendance
Forms of Assessment
Exercises + oral presentation
The grading scale used is A to F. Grade A is the highest passing grade in the grading scale, grade F is a fail.