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FDD3436 Scientific Programming in Python for Computational Biology 5.0 credits

Information per course offering

Course offerings are missing for current or upcoming semesters.

Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus FDD3436 (Spring 2013–)
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

Literature

You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.

Examination and completion

Grading scale

G

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.

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

    Examiner

    No information inserted

    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

    Education cycle

    Third cycle

    Postgraduate course

    Postgraduate courses at CSC/Computer Science