Course: Computer Mathematical Analysis Problems

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Course title Computer Mathematical Analysis Problems
Course code KMT/ÚMP
Organizational form of instruction Seminar
Level of course Master
Year of study 2
Semester Winter and summer
Number of ECTS credits 3
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)
  • Honzík Lukáš, PhDr. Ph.D.
Course content
Course content: 1st Basic definitions and sentences from the functional (Banach fixed point theorem). 2nd Basic concepts of numerical analysis 3rd Solving systems of nonlinear equations, Newton's method. 4th Interpolation 5th Numerical calculation of derivatives. 6th Numerical calculation of integrals. 7th Numerical solution of ordinary differential equations - boundary value problems, the initial task. 8th Method shooting. 9th Method networks.

Learning activities and teaching methods
Seminar classes, Individual study, Seminar
  • Contact hours - 39 hours per semester
  • Graduate study programme term essay (40-50) - 45 hours per semester
  • Preparation for formative assessments (2-20) - 10 hours per semester
prerequisite
Knowledge
Students should have knowledge of mathematical analysis, at least for KMA/MA1 and knowledge objects KMT/PMS.
Skills
student should have mathematical analysis skills at least at KMA/MA1 and knowledge of KMT/PMS
Competences
N/A
N/A
N/A
N/A
learning outcomes
Knowledge
is familiar with the basic definitions and theorems of functional analysis (Banach fixed point theorem)
knows how to solve systems of nonlinear equations, uses Newton's method
can use interpolation using polynomials
knows how to perform a numerical calculation of the derivation and numerical calculation of integrals
knows the ways of numerical solution of ordinary differential equations - boundary value problems, the initial task
is familiar with the method of networks and can use it to solve problems of differential equations
Skills
recognizes the basic concepts of numerical analysis
solves systems of nonlinear equations, uses Newton's method
uses the shooting method to solve problems of differential equations
uses interpolation using polynomials
Competences
N/A
teaching methods
Knowledge
Seminar
Individual study
Seminar classes
Skills
Seminar
Individual study
Seminar classes
Competences
Seminar
Individual study
Seminar classes
assessment methods
Knowledge
Test
Seminar work
Individual presentation at a seminar
Skills
Test
Seminar work
Individual presentation at a seminar
Competences
Test
Seminar work
Individual presentation at a seminar
Recommended literature
  • ČERMÁK, L. Numerické metody pro řešení diferenciálních rovnic. Brno: Litera Brno, 2013. ISBN 978-80-903586-7-6.
  • FEISTAUER, M., KUČERA, V. Základy numerické matematiky. Praha: Matfyzpress, 2014. ISBN 978-80-903586-7-6.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Education Study plan (Version): BS Teacher Training in Mathematics (18) Category: Pedagogy, teacher training and social care 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Education Study plan (Version): BS Teacher Training in Mathematics (19) Category: Pedagogy, teacher training and social care 2 Recommended year of study:2, Recommended semester: Winter
Faculty: Faculty of Education Study plan (Version): BS Teacher Training in Mathematics (17) Category: Pedagogy, teacher training and social care 2 Recommended year of study:2, Recommended semester: Winter