FDD3370 Scientific Software Development Toolbox 5.0 credits

- Collaborative web-based development with GitHub, Gitlab and Redmine

- To work with ipython

- Tests: Unit tests, regression tests, test driven development

- Continuous integration

- To express dependencies with spouse

- To build portable software with CMake

- Toolbox for adoption of a profile and code optimisation

- To handle complexity with functional programming

- Toolbox for debugging

- Modular programming and development with mixed programming languages

- Documentation of source

- Packaging, distribution and release of software

- Survival guide to work with older code

Distributed version management with Git

The aim of the course is to demonstrate to the students the best available tools and methods in modern development of scientific programs and train them in their usage. Main focus is on professional tools for developing and maintaining scientific software in an efficient way. Since most scientific programs are developed in collaborative project, we will discuss tools and work flows that facilitate this process. In addition to this, the tools are invaluable for individual developers.

Information can be found on the course website 4 weeks before the start of the course.

If the course is discontinued, students may request to be examined during the following two academic years.

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Attendance at lectures, laboratory sessions and project report.

Erwin Laure

• All members of a group are responsible for the group's work.
• In any assessment, every student shall honestly disclose any help received and sources used.
• In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.