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.
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.
Information per course offering
Information for Autumn 2024 biomod24 programme students
- Course location
KTH Campus
- Duration
- 26 Aug 2024 - 13 Jan 2025
- Periods
- P1 (6.0 hp), P2 (3.0 hp)
- Pace of study
33%
- Application code
50242
- Form of study
Normal Daytime
- Language of instruction
English
- Course memo
- Course memo is not published
- Number of places
Places are not limited
- Target group
Open for students from year 3 and for students admitted to a master's programme, as long as it can be included in your programme.
- Planned modular schedule
- [object Object]
- Schedule
- Part of programme
Master's Programme, Applied and Computational Mathematics, åk 1, Optional
Master's Programme, Applied and Computational Mathematics, åk 2, Optional
Master's Programme, Computer Science, åk 2, CSSC, Recommended
Master's Programme, Computer Simulations for Science and Engineering, åk 2, Conditionally Elective
Master's Programme, Machine Learning, åk 1, Conditionally Elective
Master's Programme, Machine Learning, åk 2, Conditionally Elective
Master's Programme, Systems, Control and Robotics, åk 2, Recommended
Contact
Alexander Kozlov (akozlov@kth.se) tel: 070 759 6583; alt - Erik Fransén (erikf@csc.kth.se) tel: 08/790 6902
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus DD2435 (Autumn 2021–)Headings with content from the Course syllabus DD2435 (Autumn 2021–) are denoted with an asterisk ( )
Content and learning outcomes
Course contents
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
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.
Equipment
No information inserted
Literature
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
A, B, C, D, E, FX, F
Examination
- 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
No information inserted
Opportunity to raise an approved grade via renewed examination
No information inserted
Examiner
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
Computer Science and Engineering, Information Technology, Information and Communication Technology
Education cycle
Second cycle
Add-on studies
Please discuss with the instructor.
Contact
Alexander Kozlov (akozlov@kth.se) tel: 070 759 6583; alt - Erik Fransén (erikf@csc.kth.se) 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:
http://www.kth.se/en/eecs/utbildning/hederskodex