Course: Advanced methods of computer-based data processing

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Course title Advanced methods of computer-based data processing
Course code KFY/XZD
Organizational form of instruction no contact
Level of course Doctoral
Year of study not specified
Semester Winter and summer
Number of ECTS credits 10
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)
  • Bartoš Petr, doc. RNDr. Ph.D.
Course content
The content of the subject will be chosen individually with respect to the PhD student's needs - the chapters will be chosen according to his / her specialization.

Learning activities and teaching methods
Dialogic (discussion, interview, brainstorming), Work with text (with textbook, with book)
Learning outcomes
A student will meet with the use of modern computer software for analyzing and processing data acquired in real and computer experiments (the choice of topics will be based on the dissertation topic). The subject includes, for example, the following passages - Fourier analysis, wavelet function theory, statistical hypothesis testing, 2D and 3D data visualization and more.
The student will be able to use modern software to analyze and process data acquired in both real and computer experiments.
Prerequisites
none

Assessment methods and criteria
Student performance assessment

Basic knowledge of statistical processing and visualization of experimental data.
Recommended literature
  • Internetové stránky dodavatelů software, návody k softwarovým balíkům.
  • Interní materiály.
  • H. Gould:. Introduction to Computer Simulation Methods, Addison-Wesley, USA, 2006..
  • I. Nezbeda, M. Kotrla, J. Kolafa:. Úvod do počítačových simulací - Metody Monte Carlo. Karolinum, Praha, 2003..
  • K. Zvára, J. Štěpán:. Pravděpodobnost a matematická statistika. Matfyzpress, Praha 2001..
  • M. Budíková, Š. Mikoláš, P. Osecký:. Teorie pravděpodobnosti a matematická statistika. Sbírka příkladů, MU Brno, 2004..
  • R. Mead, R. N. Curnow, A. M. Hasted, R. M. Curnow:. Statistical Methods in Agriculture and Experimental Biology. Third Edition, Chapman and Hall, 2002..


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): Theory of Education in Physics (1) Category: Pedagogy, teacher training and social care - Recommended year of study:-, Recommended semester: -
Faculty: Faculty of Education Study plan (Version): Theory of Education in Physics (1) Category: Pedagogy, teacher training and social care - Recommended year of study:-, Recommended semester: -