FDD3435 Graduate Course in Mathematical Modeling of Biological system 9.0 credits

Doktorandkurs i neuronnäts- och biomodellering

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 *

Methods for mathematical modelling and computer simulation of biological processes and functions. Primarily, the nervous system (neurons and neural networks) will be treated, but also other organ systems will be brought up. Intracellular processes such as biochemical networks, enzyme kinetics, cell signalling and genetic networks and switches will be treated as well as biological morphogenesis and some current theories of biological perception, learning and memory.

Intended learning outcomes *

After the course, the students should be able to

  • explain the use of and assumptions behind biophysical and biochemical models and methodologies
  • calculate basic biophysical and biochemical units in stoichiometry ion statistics, ion dynamics, diffusion and cell compartments
  • illustrate the use of continuous, stochastic or boolean models
  • explain models for synapses and its plasticity as well as for network of neurons
  • use and develop simulation software for genetic, biochemical and neuronal networks

in order to

  • be able to explain the use of and assumptions behind biological models
  • in the working life be able to carry out biological modelling and simulation work..

Course Disposition

No information inserted

Literature and preparations

Specific prerequisites *

No information inserted

Recommended prerequisites

No information inserted


No information inserted


Will be announced no later than 4 weeks before the start of the course on the course web. Previous academic year D. Johnston & S. Miao-Sin Wu: Fundamentals of cellular neurophysiology, MIT Press was used.

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.

    In this course, the code of honor of the school is applied, see: http://www.kth.se/en/csc/utbildning/hederskodex

    Opportunity to complete the requirements via supplementary examination

    No information inserted

    Opportunity to raise an approved grade via renewed examination

    No information inserted


    Erik Fransén

    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

    Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

    Course web FDD3435

    Offered by

    EECS/Computational Science and Technology

    Main field of study *

    No information inserted

    Education cycle *

    Third cycle

    Add-on studies

    DD3431, DD3432


    Erik Fransén, erikf@kth.se

    Postgraduate course

    Postgraduate courses at EECS/Computational Science and Technology