Skip to main content
Till KTH:s startsida Till KTH:s startsida

FDD3436 Scientific Programming in Python for Computational Biology 5.0 credits

Course offerings are missing for current or upcoming semesters.
Headings with content from the Course syllabus FDD3436 (Spring 2013–) are denoted with an asterisk ( )

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.

Literature and preparations

Specific prerequisites

DD2397 Applied Bioinformatics or the equivalent

Recommended prerequisites

No information inserted

Equipment

No information inserted

Literature

No information inserted

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

    No information inserted

    Opportunity to raise an approved grade via renewed examination

    No information inserted

    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.

    Further information

    Course room in Canvas

    Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

    Offered by

    Main field of study

    This course does not belong to any Main field of study.

    Education cycle

    Third cycle

    Add-on studies

    No information inserted

    Contact

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

    Postgraduate course

    Postgraduate courses at EECS/Computational Science and Technology