Programming, Bridging Course
Syllabus, Master's level, 1TD046
- Code
- 1TD046
- Education cycle
- Second cycle
- Main field(s) of study and in-depth level
- Computational Science A1N, Computer Science A1N, Technology A1N
- Grading system
- Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
- Finalised by
- The Faculty Board of Science and Technology, 12 March 2009
- Responsible department
- Department of Information Technology
Entry requirements
BSc degree in engineering or natural sciences. Computer skills are required, but experience in programming is not required.
Learning outcomes
After the course, the student should be able to
- use Python scripting and C for computational science and engineering applications
- use either C++ or Fortran and applying it to scientific problems
- connect Python with libraries written in C, C++ or Fortran
- describe the fundamental ideas behind the object-oriented approach to programming and how it can be applied to engineering applications
Content
This course is intended for students in the masters level interested in using programming for their computational tasks, e.g. in Physics or Biology. The course is to a large extent application-driven, and solution strategies with Python, C and C++ or Fortran are attempted in the course. Furthermore, integration between Python and other languages (C, C++ or Fortran) is covered. The latter part of the course is split between C++ and Fortran, and the course participants choose one of these two tracks. Object oriented programming and basic concepts underlying object orientation is briefly discussed. The focus is on how these concepts relate to the real world.
Instruction
Lectures, problem classes, laboratory work, compulsory assignments/mini-projects.
Assessment
Approved assignments/mini-projects and/or a written exam.