Course: Selected Topics in MA and NM 1

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Course title Selected Topics in MA and NM 1
Course code KMA/VPM1
Organizational form of instruction Lecture + Tutorial
Level of course Bachelor
Year of study not specified
Semester Summer
Number of ECTS credits 5
Language of instruction Czech, English
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • Boháč Pavel, doc. RNDr. Ph.D.
  • Pinte Jan, RNDr. Ph.D.
Course content
Major topics of this course include the following parts which are not scheduled in standard courses: nonlinear ordinary differential and difference equations, optimization, game theory, numerical methods for ordinary differential equations, modern methods for systems of linear equations, etc.

Learning activities and teaching methods
Lecture with practical applications, Task-based study method, Lecture
  • Contact hours - 52 hours per semester
  • Undergraduate study programme term essay (20-40) - 40 hours per semester
  • Preparation for an examination (30-60) - 40 hours per semester
prerequisite
Knowledge
understand fundamental principles of single-/multi-variable differentiable calculus
understand fundamental principles of single-/multi-variable integral calculus
understand fundamental principles of ODEs (IVPs for equations of first and second order, existence, basic methods of solving equations)
understand fundamental principles of numerical methods
Skills
differentiate and integrate single-variable functions
solve ODEs of first order by separation of variables
solve IVPs and BVPs for linear ODEs of first and second order
formulate and solve fundamental problems in numerical mathematics
use MATLAB and/or similar mathematical software, implement fundamental algorithms of numerical methods
Competences
N/A
N/A
N/A
N/A
N/A
N/A
aktivně se více specializovat v oblasti matematické analýzy a numerické matematiky, zejména v souvislosti s tématem bakalářské práce
learning outcomes
Knowledge
be familiar with selected topics in mathematical analysis and numerical mathematics
Skills
work with mathematical models
use methods of selected mathematical disciplines
demonstrate fundamental statements of abstract theory by accurate examples and counterexamples
Competences
N/A
N/A
N/A
teaching methods
Knowledge
Lecture
Task-based study method
Interactive lecture
Skills
Lecture
Task-based study method
Interactive lecture
Competences
Lecture
Task-based study method
Interactive lecture
assessment methods
Knowledge
Combined exam
Seminar work
Skills demonstration during practicum
Skills
Combined exam
Seminar work
Skills demonstration during practicum
Competences
Combined exam
Seminar work
Skills demonstration during practicum
Recommended literature
  • Axelsson, Owe. Iterative solution methods. Cambridge : Cambridge University Press, 1996. ISBN 0-521-55569-8.
  • Butcher, J. C. Numerical methods for ordinary differential equations. Chichester : John Wiley & Sons, 2003. ISBN 0-471-96758-0.
  • Kuznetsov, Yuri A. Elements of Applied Bifurcation Theory. New York, USA, 1998. ISBN 0-387-98382-1.
  • Stoer, Josef; Bulirsch, Roland. Introduction to numerical analysis. 3rd ed. New York : Springer, 2002. ISBN 0-387-95452-X.
  • Strogatz, Steven H. Nonlinear Dynamics and Chaos. Reading, MA, USA, 1994. ISBN 0-201-54344-3.
  • Teschl, Gerald. Ordinary Diffferential Equations and Dynamical Systems. Providence, RI, USA, 2012. ISBN 978-0-8218-8328-0.


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