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Lecturer(s)
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Course content
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Errors in numerical calculations. Principles of iterations. Methods of solving of systems of linear equations and nonlinear algebraic equations. Approximation and interpolation of functions. The method of least squares. Numerical integration and differentiation. Numerical solution of ordinary differential equations. Eigenvalues and vectors of matrices. Evaluation of experimental data.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Methods of individual activities
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Learning outcomes
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The aim of this course is to familiarize students with the basic numerical methods and their practical applications in Matlab. Content: Errors in numerical calculations. Principles of iterations. Methods of solving systems of linear equations and nonlinear algebraic equations. Approximation and interpolation of functions. The method of least squares. Numerical integration and differentiation. Numerical solution of ordinary differential equations. Eigenvalues and vectors of matrices. Evaluation of experimental data.
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Prerequisites
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unspecified
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Assessment methods and criteria
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Oral examination, Home assignment evaluation
The condition for awarding credits is a realization of a course paper.
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Recommended literature
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Atkinson K., Han W. Elementary Numerical Analysis. 2004 John Wiley & Sons. ISBN 0-471-43337-3..
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Duffy, Dean G. Advanced engineering mathematics with MATLAB. Boca Raton: CRC Press, 2011. ISBN 978-1-4398-1624-0.
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Harman T.H., Dabney J., Richert N. Advanced Engeneering Mathematics with Matlab. 2000 Brooks/Cole, Cengage Learning. ISBN 0-534-37164-7.
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Chapra, C. Ch., Canale, P. Numerical Methods for Engineers. Mc-Graw Hill, 2006. ISBN 007-124429-8.
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Mathews, J. H., Kurtis, J. H., Kurtis, K. F. Numerical Methods Using Matlab. Prentice-Hall, 2004. ISBN 0-13-065248-2.
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