• Programming tools: development environment and version control
• Object-oriented programming in Python
• Scientific computing in Python
• Test-based programming and testsuites, documentation tools
• Debugging
• Profiling and optimization
• User interfaces
• Programming project

After completing the course, you will be able to:

• develop programs based on procedural and object-oriented programming
• read and understand programs at an equivalent level of complexity
• analyse tasks and implement algorithms to solve them
• use functionality delivered by standard libraries
• localize errors in programs
• optimize program performance
• use programming tools such as debuggers, profilers, testsuites, documentation tools and version control.

You will be able to evaluate the applicability of more complex programs and able to assert their quality, and will have developed an insight into the programmer"s responsibility for the correct and reliable functioning of his or her own programs, their quality and documentation.

The course builds upon your solid, basic programming skills, preferably in Python.

During the autumn parallel, you will extend your knowledge of more advanced programming techniques through lectures and develop your skills in exercises in the computer lab, where you will be working on shorter programming assignments. Mutual code review using modern collaborative tools is an important part of the learning process. Your active participation is essential for success in the course.

Self study: You need to actively train the programming concepts and skills covered in the course to develop good programming skills. Thus, as a student in INF200, you have to write and improve smaller programs on your own.

Programming project during January or June block: You will carry out a programming project together with a fellow student. Through the project, you will learn to undertake and complete a larger project. The project will cover most of the techniques taught in the course and students will practice these techniques further by applying them to the project.

This is a full-time course in the January or June block and requires your full-time presence throughout the January block or June block (first three weeks plus exam days).

Continuous exam of the project task. A-F.

Evaluation of the programming project in two parts:

• Handed-in source code and documentation (0-70 points).
• Presentation of the project with discussion (0-30 points).

If two students collaborate on a project, they will usually receive a joint evaluation for part 1, but this deviations are possible if the students' contributions require this. For part 2 students are evaluated individually. The overall grade is determined based on the total point score obtained.

Students are evaluated at the end of the block period in which they perform the project. Presentation and discussion may take place a few days after the end of the block period.

• Autumn parallel 150h = 26h lectures + 26 h computer lab + 98h self study with course book and programming exercises
• Block 150h = 15h colloquium + 120h programming project + 15h preparation of final presentation

• Autumn parallel: 26h lectures, 26h computer lab
• Block: 84h: 14 working days with a minimum of 6 hours project work

The course consists of instruction in advanced programming in the autumn parallel and a project task which you work in either in the January block or the June block. Course participants have to be present full time during the January block or June block (first three weeks).

There are 60 places in the January block and 60 places in the June block. We cannot guarantee a place in a particular block.

Due to the intense project work,  the January block of this course is not suitable for students who are about to write their 30 credit master thesis with deadline on 15 May the same year.