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DD2435 Mathematical Modelling of Biological Systems 9.0 credits

The course focuses on mathematical modelling and computer simulation of nerve cells, neuronal networks and other physiological and biochemical structures and processes.

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Headings with content from the Course syllabus DD2435 (Autumn 2021–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

Methods for mathematical modelling and computer simulation of biological processes and functions. Of primary concern is the nervous system (nerve cells and neuronal networks) but other systems are also treated. Intracellular processes like biochemical networks, enzyme kinetics, cell signalling, genetic networks and switches are treated, as well as biological morphogenesis and some current theories of biological perception, learning and memory.

Intended learning outcomes

After the course, the student should be able to

  • explain the useage of, and the assumptions behind biophysical and biochemical models and methods
  • compute basic biophysical and biochemical entities in stochiometry, ion statics and ion dynamics, diffusion and cell compartments
  • exemplify the usage of continous, stochastic or boolean models
  • explain models for synapes and their plasticity and of networks of neurons
  • use and develop simulation programs for genetic, biochemical, and neural networks

so that the student

  • is able to explain the useage of, and the assumptions behind biological models
  • in the working life can perform biological modeling and simulation work

Course disposition

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Literature and preparations

Specific prerequisites

Single course students: 90 university credits including 45 university credits in Mathematics or Information Technology. English B, or equivalent.

Recommended prerequisites

The mandatory courses for D, E, and F in mathematics, numerical analysis and computer science or the equivalent. Recommended the courses: DD2400 Cellular and Molecular Biology and DD2401 Neuroscience or the equivalent.


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Examination and completion

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

Grading scale

A, B, C, D, E, FX, F


  • LAB1 - Laboratory Work, 1.5 credits, grading scale: P, F
  • PRO2 - Project, 3.0 credits, grading scale: P, F
  • TEN2 - Examination, 4.5 credits, grading scale: A, B, C, D, E, FX, 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.

Other requirements for final grade

Examination (TEN2; 4,5 university credits).
Laboratory assignments (LAB1; 1,5 university credits). Project assignment (PRO2; 3 university credits.).

Opportunity to complete the requirements via supplementary examination

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Opportunity to raise an approved grade via renewed examination

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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 DD2435

Offered by

Main field of study

Computer Science and Engineering, Information Technology, Information and Communication Technology

Education cycle

Second cycle

Add-on studies

Please discuss with the instructor.


Alexander Kozlov ( tel: 070 759 6583; alt - Erik Fransén ( tel: 08/790 6902

Supplementary information

The course overlaps to a large extent with DA7048 and can not be conbined with that course.

In this course, the EECS code of honor applies, see: