Course: Numerical Methods

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Course title Numerical Methods
Course code KID/ANUMK
Organizational form of instruction Lecture
Level of course Master
Year of study not specified
Semester Winter
Number of ECTS credits 5
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Kulička Jiří, Mgr. Ph.D.
Course content
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.

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Methods of individual activities
Learning outcomes
The aim of this course is to familiarize students with basic numerical methods and their practical applications in Matlab.

Prerequisites
unspecified

Assessment methods and criteria
Oral examination, Home assignment evaluation

Condition for credit is a realization of semestral work.
Recommended literature
  • Atkinson K., Han W. Elementary Numerical Analysis. 2004 John Wiley & Sons. ISBN 0-471-43337-3..
  • Duffy, Dean G. Advanced engineering mathematics with MATLAB. Boca Raton: CRC Press, 2011. ISBN 978-1-4398-1624-0.
  • Harman T.H., Dabney J., Richert N. Advanced Engeneering Mathematics with Matlab. 2000 Brooks/Cole, Cengage Learning. ISBN 0-534-37164-7.
  • Chapra S.C., Canale R.P. Numerical Methods for Engineers. Fifth edition. 2006 The McGraw-Hill Companies. ISBN 007-124429-8..
  • Mathews, J. H., Kurtis, J. H., Kurtis, K. F. Numerical Methods Using Matlab. Prentice-Hall, 2004. ISBN 0-13-065248-2.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Transport Engineering Study plan (Version): Electrical Engineering and Electronic Systems in Transport (2014) Category: Transportation and communications 1 Recommended year of study:1, Recommended semester: Winter
Faculty: Faculty of Transport Engineering Study plan (Version): Electrical Engineering and Electronic Systems in Transport (2013) Category: Transportation and communications 1 Recommended year of study:1, Recommended semester: Winter