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.
Educational level
Second cycleAcademic level (A-D)
DSubject area
Information Technology
Grade scale
A, B, C, D, E, FX, F
Course offerings
Autumn 12 TBSBM, TSYBM for programme students
Periods
Autumn 12 P1 (6.0 credits), P2 (3.0 credits)
Application code
50194Start date
2012 week: 34End date
2013 week: 1Language of instruction
EnglishCampus
KTH CampusNumber of lectures
26 (preliminary)Number of exercises
Tutoring time
DaytimeForm of study
NormalNumber of places
No limitationSchedule
Schedule (new window)Target group
Compulsary for TBSBM and TSYBM but available for all programs
Part of programme
Autumn 13 biomod13 for programme students
Periods
Autumn 13 P1 (6.0 credits), P2 (3.0 credits)
Application code
50134Start date
2013 week: 36End date
2014 week: 3Language of instruction
EnglishCampus
KTH CampusNumber of lectures
26 (preliminary)Number of exercises
Tutoring time
DaytimeForm of study
NormalNumber of places
No limitationSchedule
Schedule (new window)Course responsible
Erik Franzén <efranzen@kth.se>
Target group
Searchable for students at Master of Science in Engineering with at least 90 hp of which at least 50 hp from year 1 and for students at Master of Science in Engineering.
Part of programme
- Master (Two Years), Applied and Computational Mathematics, year 1, Optional
- Master (Two Years), Applied and Engineering Mathematics, year 2, Recommended
- Master (Two Years), Computer Science, year 2, CSCG, Conditionally Elective
- Master (Two Years), Computer simulation for Science and Engineering, year 2, Mandatory
- Master (Two Years), Machine Learning, year 1, MAIC, Mandatory
- Master (Two Years), Machine Learning, year 2, MAIC, Conditionally Elective
- Master (Two Years), Systems Biology, year 1, Mandatory
- Master (Two Years), Systems Biology, year 2, Mandatory
- Master (Two Years), Systems, Control and Robotics, year 1, Recommended
- Master (Two Years), Systems, Control and Robotics, year 2, Recommended
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.
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
To be announced at least 4 weeks before course start at course web page. Previous year: D. Johnston & S. Miao-Sin Wu: Fundamentals of cellular neurophysiology, MIT Press.
Examination
- LAB1 - Laboratory Work, 1.5 credits, grade scale: P, F
- PRO2 - Project, 3.0 credits, grade scale: P, F
- TEN2 - Examination, 4.5 credits, grade 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
CSC/Computer Science
Contact
Erik Fransén, e-post: erikf@kth.se
Examiner
Erik Fransén <erikf@kth.se>
Supplementary information
This course can not be combined with DD2436 Modellling of Processes in Cell Biology.
The biggest part of the teaching in this course takes place at Campus Valhallavägen, but some teaching take place at Alba Nova.
Add-on studies
Please discuss with the instructor.
Version
Course plan valid from:
Autumn 09.
Examination information valid from:
Autumn 07.
