Summary
We learn and apply software engineering principles to program projects in Python. Projects cover problems in life sciences, and will be developed over the course of the semester.
Content
- Python (object types, statements, functions, packages, object oriented programming)
- Distributed version control via git
- Debugging, profiling, refactoring
- Unit, integration and functional testing
- Project and code documentation
- Models of developmental biology and neuroscience
The first part of the semester is devoted to acquiring the necessary skills and tools (Week 1-4). In the second part, biological problems are presented and the students form groups of (typically) 3 students to create a python repository that addresses one biological question. The software has to meet various specifications with regard to the application programming interface, documentation and performance. The hours of practical work will be devoted to planning, coding and presenting.
- Professor: Alexander Mathis
- Teacher: Andy Bonnetto
- Teacher: Albert Dominguez Mantes
- Teacher: Haozhe Qi
- Teacher: Hale-Seda Ivo Radoykova
- Teacher: Olivier Cédric Ulrich
- Teacher: Shaokai Ye
- Teacher: Mu Zhou
