Course - Introduction to Scientific Computation - TMA4320
Introduction to Scientific Computation
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About the course
Course content
The course consists of two equal parts: theoretical and practical/computational. The theoretical part of the course introduces the participants to scientific computing/numerical mathematics and prepares them for the computational part. The latter consists of three compulsory projects originating from physics, biophysics and mathematics. Potential topics for the numerical mathematics part are numerical linear algebra and numerical solution for ordinary differential equations.
Learning outcome
A student successfully meeting all the learning objectives of this course will be able to: (1) mathematically formulate specific problems from physics and biophysics; (2) explain and use specific numerical methods to solve these problems; (3) implement certain numerical algorithms on a computer; (4) critically assess the obtained numerical results; (5) communicate the findings in a form of a report.
Learning methods and activities
Lectures and exercises.
Further on evaluation
There will be three projects. These will be evaluated and count towards the total grade of the portfolio assessment in the course. Letter grades are only given on the portfolio assessment in its entirety. There will be a digital exam at the end of the semester. Both the portfolio assessment and the exam must be passed to pass the course. The re-take examination (in August) may be changed from written to oral.
In the case that the student receives an F/Fail as a final grade after both ordinary and re-sit exam, then the student must retake the course in its entirety. Submitted work that counts towards the final grade will also have to be retaken.
Recommended previous knowledge
Basic courses in Mathematics, Physics and Computer Science (programming).
Course materials
Will be announced at the start of the course.
Credit reductions
Course code | Reduction | From |
---|---|---|
MA2501 | 3.7 sp | Autumn 2015 |
Subject areas
- Physics
- Mathematics
- Technological subjects