Lecturer(s)
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Vysoký Josef, doc. Ing. Ph.D.
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Course content
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Approximate time schedule: first third of the term - general properties of the mathematical software (MS) and the basic features of its use, the condition of a numerical problem, properties of a finite precision arithmetics; second third - computational environment and its influence on MS, the properties of the machine arithmetics and its effect on MS, reliability and credibility of MS; the final third - properties of quality MS, a more detailed analysis of the topics of the course on the example of MS for automatic quadrature or for automatic solution of ordinary differential equations. During the term the students will be given information on quality MS on the Internet and on other resources that may be useful in the field of MS and scientific computing.
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Learning activities and teaching methods
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Interactive lecture, Lecture supplemented with a discussion, Textual studies, Lecture, Practicum
- Contact hours
- 52 hours per semester
- Preparation for an examination (30-60)
- 45 hours per semester
- Graduate study programme term essay (40-50)
- 40 hours per semester
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prerequisite |
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Knowledge |
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Knowledge of the fundamentals of numerical analysis and algebra, undergraduate calculus, working knowledge of Matlab or ability to use a high-level programming language (Fortran, C). |
learning outcomes |
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Upon the completion of the course the student will: - know the fundamental mathematical software and be able to use it - be able to discuss the condition of the numerical problems and stability of computational algorithms - know the properties of the finite precision arithmetics - be able to judge the credibility of the results obtained |
teaching methods |
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Lecture |
Lecture supplemented with a discussion |
Interactive lecture |
Practicum |
Textual studies |
assessment methods |
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Oral exam |
Written exam |
Test |
Seminar work |
Recommended literature
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Heath, Michael T. Scientific computing : an introductory survey. 2nd ed. Boston : McGraw-Hill, 2002. ISBN 0-07-239910-4.
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