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Main directions of computational physics. Hardware and software basis of computational physics. Computer modelling, computer graphics, image processing, integral transforms. Basic numerical methods. Introduction to mathematical statistics and theory of probability.
Last update: T_FUUK (14.05.2009)
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Students will learn basic numerical algorithms (see annotation and syllabus). Last update: T_FUUK (14.05.2009)
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The credit is awarded on condition of at least 70% attendance. In case of non-fulfillment, it is necessary to elaborate and present tasks from topics where absences occurred. Another condition is the elaboration of assigned project. Last update: Barvík Ivan, RNDr., Ph.D. (30.10.2019)
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Lectures and practical exercises in computer lab Last update: T_FUUK (14.05.2009)
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Basics of computational physics Characterisation of computer technique computer and microcomputer architecture, programming languages, operating systems, structural programming. Main directions of computational physics Computer modelling Molecular dynamics method ? principle, difference equations, errors, implementation of many body algorithms. Introduction to the theory of probability Monte Carlo method ? principle, generation of random numbers, transformation of random numbers, application of Monte Carlo method in physics. Fluid modelling Hybrid modelling ? principle, application in physical electronics. Computer graphics and visualisation basic algorithms, applications. Image processing low-level image processing, image analysis. Integral transforms fast Fourier transform and its application in physics. Last update: T_FUUK (14.05.2009)
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