DD2435 Mathematical Modelling of Biological Systems 9.0 credits

Neuronnäts- och biomodellering

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

  • Education cycle

    Second cycle
  • Main field of study

    Computer Science and Engineering
    Information Technology
    Information and Communication Technology
  • Grading scale

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

Course offerings

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 main content

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.

Eligibility

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.

Literature

Meddelas senast 4 veckor före kursstart på kursens hemsida. Föregående läsår användes D. Johnston & S. Miao-Sin Wu: Fundamentals of cellular neurophysiology, MIT Press.

Examination

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

In this course all the regulations of the code of honor at the School of Computer science and Communication apply, see: http://www.kth.se/csc/student/hederskodex/1.17237?l=en_UK.

Requirements for final grade

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

Offered by

EECS/Intelligent Systems

Contact

Alexander Kozlov (akozlov@kth.se) tel: 070 759 6583; alt - Erik Fransén (erikf@csc.kth.se) tel: 08/790 6902

Examiner

Arvind Kumar <arvkumar@kth.se>

Erik Fransén <erikf@kth.se>

Supplementary information

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

Add-on studies

Please discuss with the instructor.

Version

Course syllabus valid from: Spring 2019.
Examination information valid from: Spring 2019.