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Course title -
Course code KMA/SCOM
Organizational form of instruction Lecture + Exercise
Level of course Bachelor
Year of study 3
Semester Winter
Number of ECTS credits 6
Language of instruction Czech
Status of course Compulsory, Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Fürst Tomáš, RNDr. Ph.D.
  • Vodák Rostislav, doc. RNDr. Ph.D.
Course content
unspecified

Learning activities and teaching methods
unspecified
Learning outcomes
Prerequisites
unspecified
KMA/MA1 and KMA/MA2 and KMA/MA3 and KAG/LA1A and KMA/DR

Assessment methods and criteria
unspecified
Recommended literature
  • Benson, D. (2006). Music: A Mathematical Offering.
  • Brockwell, P. J., Davis, R. A. (2009). Time Series: Theory and Methods.
  • Brunton, S. L., Kutz, J. N. (2022). Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control.
  • Gonzalez, R. C., Woods, R. E. (2017). Digital Image Processing.
  • Körner T. W. (1988). Fourier Analysis.
  • Kutz, N. (2013). Data Driven Modeling & Scientific Computation.
  • Morton, K. W., Mayers, D. F. (2005). Numerical solution of partial differential equations: an introduction. Cambridge.
  • Vitásek, E. (1994). Základy teorie numerických metod pro řešení diferenciálních rovnic. Praha.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Applied Mathematics - Specialization in Data Science (2026) Category: Mathematics courses 3 Recommended year of study:3, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): Applied Mathematics - Specialization in Industrial Mathematics (2026) Category: Mathematics courses 3 Recommended year of study:3, Recommended semester: Winter
Faculty: Faculty of Science Study plan (Version): General Physics and Mathematical Physics (2026) Category: Physics courses 1 Recommended year of study:1, Recommended semester: Winter