Objective of the course – aims of the course unit:|
The aim is to introduce methods and algorithms used in modelling biological (medical and ecological) systems.
Objective of the course – learning outcomes and competences:|
Basic theoretical knowledge of methods used in the field of biosystem modelling and skills in programming developed models in MATLAB, Simulink software.
Fundamentals of modelling and simulation of systems, and fundamentals of biology.
Course contents (annotation):|
Biological system, description of its characteristics. Planning of experiments with biological systems. Theoretical principles of methods used in modelling of biosystems (compartmental analysis, deterministic chaos, fractals, theory of catastrophes, cellular automata). Description of particular models of biological systems, models of populations, epidemic and psychological models, models of biochemical processes, tissue structure modelling, models of basic subsystems of human organism.
Teaching methods and criteria:|
Assesment methods and criteria linked to learning outcomes:|
At least 15 points for computer practice and project presentation.
- Basic vocabulary, definition of biosystem, its specificity and characteristics.
- Continuous models of single-species populations, analysis of logistic equation, models with delay.
- Discrete models of single-species populations and their analysis, Leslie model, fundamentals of deterministic chaos theory.
- Discrete models of single-species models with delay, models of interacting populations.
- Fractals, basic types of fractals. Fractal morphological structure of biosystems.
- Multicompartmental analysis, models of biochemical processes.
- Epidemic models and dynamics of infection diseases, venereal diseases, AIDS.
- Disrete systems, finite automata, discrete models of cellular structure.
- Artificial life, cellular automata. Conway's "Life", analysis of cellular automata.
- Catastrophe theory and its application in behavioral models.
- Verification and optimizing of implemented models, computer experiments and its evaluation.
- Human organism as a system, models of subsystems in human body, cardiovascular system.
- Models of subsystems in human body: model of glucose concentration control, control of biochemical processes in intestinal system.
Specification of controlled education, way of implementation and compensation for absences:|
Without possibility to compensate.
- Holčík, J.: Modelování biologických systémů, Elektronické texty.
- Murray, J.D.: Mathematical Biology, Berlin, Springer Verlag, 1989.
- van Wijk van Brievingh, R.P., Moeller, D.P.F.: Biomedical Modeling and Simulation on a PC, New York, Springer Verlag, 1993.
- Rowe, G.W.: Theoretical Models in Biology, Oxford, Oxford Univ. Press, 1994.