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, 11 June 2010
- Responsible department
- Department of Information Technology
Entry requirements
BSc degree in engineering or natural sciences. Computer skills and some knowledge in programming are required, i.e. one course in programming.
Learning outcomes
After the course, the student should be able to
- use Python scripting and C for computational science and engineering applications;
- use one of C++, Java or Fortran 95 and apply it on scientific problems;
- connect Python with libraries written in C, C++ or Fortran 95;
- 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 one of C++, java or Fortran 95 are attempted in the course. Furthermore, integration between Python and other languages is covered. The latter part of the course is split between C++, Java or Fortran 95, 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.