Course: Computer Combinatorics & statistics

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Course title Computer Combinatorics & statistics
Course code KMT/KST
Organizational form of instruction Lecture + 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, 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.
  • Vrbová Viola, Mgr.
Course content
1. Combinatorial and statistical concepts 2. The position of statistics in school mathematics 3. Data processing in a spreadsheet and introduction to other statistical software

Learning activities and teaching methods
Lecture with practical applications, Individual study, Practicum
  • Contact hours - 26 hours per semester
  • Graduate study programme term essay (40-50) - 30 hours per semester
  • Preparation for formative assessments (2-20) - 14 hours per semester
prerequisite
Knowledge
basic knowledge of the theory of probability at KMT/PAS level
Skills
basic knowledge of mathematical software from KMT/SUM
Competences
N/A
N/A
learning outcomes
Knowledge
apply basic combinatorial and statistical concepts
orient themselves in school statistics
explain the procedures for solving problems in school statistics
Skills
processes data graphically
selects appropriate data processing software and uses its functions
applies software to solve statistical problems
Competences
N/A
teaching methods
Knowledge
Interactive lecture
Lecture
Lecture supplemented with a discussion
Collaborative instruction
Skills
Practicum
Skills demonstration
Task-based study method
Seminar classes
Individual study
Collaborative instruction
Competences
Practicum
Individual study
Interactive lecture
assessment methods
Knowledge
Test
Seminar work
Individual presentation at a seminar
Skills
Self-evaluation
Continuous assessment
Skills demonstration during practicum
Competences
Seminar work
Formative evaluation
Recommended literature
  • JUREČKOVÁ, Mária a Iveta MOLNÁROVÁ. Štatistika s Excelom. Liptovský Mikuláš. 2005.
  • Laurenčík, Marek. Excel 2016 a 2019 : pokročilé nástroje : funkce, databáze, kontingenční tabulky, prezentace, příklady. První vydání. 2020. ISBN 978-80-271-2471-8.
  • Mošna, František. Pojetí pravděpodobnosti a statistiky ve výuce. 1. vydání. 2022. ISBN 978-80-7603-339-9.
  • Mošna, František. Základní statistické metody. 1. vydání. 2017. ISBN 978-80-7290-972-8.
  • Svoboda, Milan; Gangur, Mikuláš,; Mičudová, Kateřina. Statistické zpracování dat. 1. vydání. 2019. ISBN 978-80-261-0883-2.
  • Tlustý, Pavel. Matematika s nadhledem : od prváku k maturitě. 13. díl, Kombinatorika, pravděpodobnost a statistika. 1. vydání. 2020. ISBN 978-80-7489-530-2.
  • Winston, Wayne L. Microsoft Excel data analysis and business modeling : (Office 2021 and Microsoft 365). 7th edition. 2022. ISBN 978-0-13-761366-3.


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 (19) Category: Pedagogy, teacher training and social care 2 Recommended year of study:2, Recommended semester: Summer
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: Summer
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: Summer