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, 28 April 2014
- 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
- in English summarise scientific papers in the field of scientific computing;
- clearly and with a correct terminology, present a research area in scientific computing both verbally and in writing;
- identify and discuss standard approaches to scientific research methodology in scientific computing;
- discuss social and ethical implications of the scientific research work in scientific computing.
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
Classes mainly in a tutorial format, with a researcher in scientific computing that serve as a coach and supervisor. Teaching in oral and written presentation.
Assessment
Writing a review article covering a research theme in scientific computing, with an appendix where research ethical and social issues related to the research theme is discussed. This will also include reference searching. Oral presentation of the content in the review article and the appendix.