FDD3436 Scientific Programming in Python for Computational Biology 5.0 credits

Vetenskaplig programmering i Python för beräkningsbiologi

Offering and execution

Course offering missing for current semester as well as for previous and coming semesters

Course information

Content and learning outcomes

Course contents *

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.

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 Disposition

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Literature and preparations

Specific prerequisites *

DD2397 Applied Bioinformatics or the equivalent

Recommended prerequisites

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Examination and completion

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

Grading scale *

P, F

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

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    Opportunity to raise an approved grade via renewed examination

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    Lars Arvestad

    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.

    Further information

    Course web

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    Offered by

    EECS/Computational Science and Technology

    Main field of study *

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    Education cycle *

    Third cycle

    Add-on studies

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    Lars Arvestad, e-post: arve@kth.se

    Supplementary information

    The courseis primarily intended forPhD studentsat the Sciencefor Life Laboratory.

    Postgraduate course

    Postgraduate courses at EECS/Computational Science and Technology