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Spatiotemporal modeling and simulation of biological systems - MB151P115E
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Modeling of biological systems is becoming an increasingly popular and important tool for understanding biological mechanisms. The interplay between experiment, theory and simulation provides insight into the dynamic behavior of complex multicomponent biological systems that cannot be easily grasped by traditional scientific approaches. Computational approaches form the core of modeling and simulation of biological systems. The course focuses on modeling of time resolved systems techniques. Students will learn to consider the geometry of systems and transport in space. After repeating basic mathematics and physics, students learn to model processes such as diffusion or flow and simulate them on a computer.
Last update: Šebková Nataša, RNDr., Ph.D. (24.10.2019)
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I. F. Sbalzarini, Spatiotemporal Modeling and Simulations. Lecture Notes, 2015.
I. F. Sbalzarini. Modeling and simulation of biological systems from image data. Bioessays, 35(5):482–490, 2013. Last update: Šebková Nataša, RNDr., Ph.D. (24.10.2019)
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Practical and theoretical knowledge acquired in the course will be tested. Last update: Šebková Nataša, RNDr., Ph.D. (24.10.2019)
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Areas covered: (i) spatial analysis (ii) cause diagrams (iii) vector field (iv) particle methods v) diffusion and flow equations (vi) hybrid methods of computer simulation An integral part of the course is a student project aimed at simulating a real biological system. Last update: Šebková Nataša, RNDr., Ph.D. (24.10.2019)
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This course is taught in English. Last update: Šebková Nataša, RNDr., Ph.D. (24.10.2019)
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