Distributed project management including using version control systems for source code. Important code libraries in Python. Efficient programming in Python. Parallel programming in Python. Efficient troubleshooting.
FDD3436 Scientific Programming in Python for Computational Biology 5.0 credits
This course has been discontinued.
Last planned examination: Spring 2022
Decision to discontinue this course:
No information insertedContent and learning outcomes
Course contents
Intended learning outcomes
Course participants should through this course raise the level of their scientific programming. This means both theory and practice on distributed software development, sharing of code, and advanced programming in Python, always with problems in computational biology in focus.
Literature and preparations
Specific prerequisites
DD2397 Applied Bioinformatics or the equivalent
Recommended prerequisites
Equipment
Literature
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
Examination
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.
Opportunity to complete the requirements via supplementary examination
Opportunity to raise an approved grade via renewed examination
Examiner
Ethical approach
- 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.