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FDD3435 Graduate Course in Mathematical Modeling of Biological system 9.0 credits

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For course offering

Autumn 2023 Start 28 Aug 2023 programme students

Application code


Headings with content from the Course syllabus FDD3435 (Spring 2019–) are denoted with an asterisk ( )

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..

Literature and preparations

Specific prerequisites

No information inserted

Recommended prerequisites

No information inserted


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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


  • EXA1 - Examination, 9.0 credits, grading scale: P, F

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:

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

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

Main field of study

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

Education cycle

Third cycle

Add-on studies

DD3431, DD3432


Erik Fransén,

Postgraduate course

Postgraduate courses at EECS/Computational Science and Technology