Entry requirements

60 credits in science/engineering including Scientific Computing, 5 credits or Introduction to Programming, Scientific Computing and Statistics.

Learning outcomes

On completion of the course, the student should be able to:

• indentify how programming and programming constructions, data types, modules and functions can be used to solve problems in enginnering or bioinformatics;
• implement such solutions by writing Python programs with several interacting components;
• use and describe the fundamental concepts module, function, class, object and related subconcepts:
• use an integrated development environment for testing and debugging

Content

The purpose of programming, programming in a context e.g. through applications. Translation between real-world problems and programs, the structure of a program.

Write programs using functions, classes and built-in modules. The concepts module, function, class, object, scope.

Control flow, data types, regular expressions, functions and modules in Python. Using packages such as numpy and scipy. Testing, debugging and documentation. Use an integrated development environment (IDE).

The course is to a large extent application driven, where the learning mainly take place through assignments and a project.

Instruction

Lectures, problem solving sessions/computer lab sessions, assignments, project.

Assessment

Written exam (2hp). Assignments and projects (3hp).

If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university