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Applied programming for Life Science 2

This course is the second out of three courses on programming in the Master's programme on Molecular Techniques in the Life Sciences. Based on the fundamentals taught in the first course, you will learn how to apply your skills in larger programs. We talk about program structure, modules, principles of good programming, and introduce classes and objects.

Your progress is assessed with homework assignments.

This course is part of the joint Master's programme in Molecular techniques in life science, together with KTH and KI. The course is not open for application to students outside of the programme.

Read more about the programme on KTH's page

  • Course structure

    The course consists of one module.

    Teaching format

    Instruction is given in the form of lectures and exercises.

    Assessment

    The course is assessed through written and oral presentations of exercises.

    Examiner

    A list of examiners can be found on

    Exam information

  • Schedule

    The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course.

  • Course literature

    Note that the course literature can be changed up to two months before the start of the course.

    Course literature Department of Mathematics

  • Course reports

  • More information

    New student
    During your studies

    Course web

    We do not use Athena, you can find our course webpages on kurser.math.su.se.

  • Contact

    Student contact at the Department of Mathematics

    Studievägledning datalogi och beräkningsteknik
    Dennis Öberg
    svl-datalogi@math.su.se
    08-16 45 52
    • Visiting address

    • Studentexpeditionen och studievägledningen för Matematiska institutionen, på plan 3, hus 1, Albano (bakom hissarna i zon D).

    • Studievägledning inom följande områden

    • Kandidatprogrammet i matematik och datavetenskap. Kandidatprogrammet i matematik och maskininlärning. Kurser i datalogi och beräkningsteknik.

    • Office hours

    • Torsdagar kl 12-13 (under terminerna) eller efter överenskommelse

    • Phone hours

    • Måndagar och torsdagar kl 10-11

    • Irregular office hours

    • Inställd telefontid: 28/11, 5/12. Inställd mottagningstid: 28/11.

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