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, 3 April 2017
- 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, C and C++ to solve scientific problems in the computational and engineering areas;
- describe the fundamental ideas behind the object-oriented approach to programming and how it can be applied to engineering applications.
- 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, C or C++ .
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, C and C++. Programming, testing and debugging in Python, C 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, C or C++. To use Python as a glue between other software components.
Instruction
Lectures, problem classes, laboratory work, compulsory assignments/mini projects.
Assessment
Approved assignments/mini-projects and for higher grades a written exam.