Course: Numerical Mathematics Software

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Course title Numerical Mathematics Software
Course code KMA/SOF
Organizational form of instruction Lecture + Seminar
Level of course Master
Year of study not specified
Semester Winter
Number of ECTS credits 5
Language of instruction Czech
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Vysoký Josef, doc. Ing. Ph.D.
Course content
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.

Learning activities and teaching methods
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
prerequisite
Knowledge
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
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
Lecture
Lecture supplemented with a discussion
Interactive lecture
Practicum
Textual studies
assessment methods
Oral exam
Written exam
Test
Seminar work
Recommended literature
  • Heath, Michael T. Scientific computing : an introductory survey. 2nd ed. Boston : McGraw-Hill, 2002. ISBN 0-07-239910-4.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester