Research Training in Scientific Computing
Syllabus, Master's level, 1TD245
This course has been discontinued.
- Code
- 1TD245
- 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, 23 April 2012
- Responsible department
- Department of Information Technology
Entry requirements
Bachelor's degree and Scientific Computing III, 5 credits or Scientific Computing, bridging course, 10 credits.
Learning outcomes
To pass, the student should be able to
- summarise scientific papers in the field of computational science;
- clearly and with a correct terminology, present a research area in computational science both verbally and in writing;
- identify and discuss standard approaches to scientific research methodology;
- discuss social and ethical implications of the scientific research work.
Content
Through the course structure, the student will come in contact with researchers at the department and gain insight into research and research methodology in general and particularly into research in scientific computing. Special attention is given to social and ethical aspects of the research. The course includes practice in oral and written presentation and in reading scientific articles.
Instruction
The student will be assigned a researcher in scientific computing as a mentor. Under the mentor's supervision, the student participates in a research group's work. Teaching in oral and written presentation. Seminars.
Assessment
Oral presentation of the research group's work to the rest of the class. Written presentation of a research area in the research group's work. Oral presentation of scientific papers.