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, 5 February 2018
- Responsible department
- Department of Information Technology
Entry requirements
150 credits in science/engineering. Computer skills and some knowledge in programming are required, i.e. a course in programming.
Learning outcomes
After the course, the student should be able to
- write programs in Python and C to solve scientific problems in the computational and engineering areas;
- describe the purpose, advantages and limitations of a scripting language;
- glue Python together with other software components;
- write and use shell scripts in combination with Python andC.
Content
The course is intended for Master's level students that use programming for for solving computational or engineerings problems, e.g. in chemistry, physics or biology. The course is to a large extent application-driven, covering solution strategies in Python and C. Programming, testing and debugging in Python and C. Data types, regular expressions, functions and modules. Object oriented programming and basic concepts underlying object orientation is briefly discussed. The focus is on how these concepts relate to applications in science and engineering.
Introduction to Linux, write and use shell scripts in combination with Python and C. To use Python as a glue between other software components, e.g. different programming languages.
Instruction
Lectures, problem classes, laboratory work, compulsory assignments/mini projects.
Assessment
ssignments and mini-projects with oral presentation.