DD3436 Scientific Programming in Python for Computational Biology 5.0 credits
Vetenskaplig programmering i Python för beräkningsbiologi
Education cycleThird cycle
Main field of study
Grading scaleP, F
At present this course is not scheduled to be offered.
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.
Course main content
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.
DD2397 Applied Bioinformatics or the equivalent
- EXA1 - Examination, 5.0, grading scale: P, F
EECS/Computational Science and Technology
Lars Arvestad, e-post: email@example.com
Lars Arvestad <firstname.lastname@example.org>
The courseis primarily intended forPhD studentsat the Sciencefor Life Laboratory.
Course syllabus valid from: Spring 2013.
Examination information valid from: Spring 2019.