Advanced Course on Topics in Scientific Computing II
Syllabus, Master's level, 1TD326
- Education cycle
- Second cycle
- Main field(s) of study and in-depth level
- Computational Science A1F, Computer Science A1F
- Grading system
- Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
- Finalised by
- The Faculty Board of Science and Technology, 10 March 2011
- Responsible department
- Department of Information Technology
At least 120 credits of which at least 30 credits in mathematics. In addition 20 credits Computer Science, where Scientific Computing III or Scientific Computing, bridging course or the equivalent must be included.
The overall aim of this course is to offer an opportunity to deepen the knowledge in scientific computing, in an area not covered by ordinary courses. It can be done through studies of research papers, text books, projects or by participating in a PhD-level course.
To pass, the student should be able to
- summarise and assess the content of the chosen area in scientific computing.
The exact content is decided upon each individual course instance. The content must be on advanced level in one area within scientific computing. Here, we consider scientific computing in a broad sense; applications in Physics,
Chemistry, Biology etc. are well suited under the condition that they have a computational focus.
Decided upon on each course instance.
A suitable final exam is decided by examiner on each course instance. Types of examination in the course are written tests, oral examination of a research paper or a book and/or implementations and investigations of numerical methods.