Course: Informatics and computational technology and statistical data processing

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Course title Informatics and computational technology and statistical data processing
Course code ULZ/VINVT
Organizational form of instruction Seminary
Level of course Bachelor
Year of study not specified
Semester Winter
Number of ECTS credits 3
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Tržil Milan, Ing.
  • Dvořáčková Olga, Mgr. Ph.D.
  • Pavlík Pavel, PhDr. Ph.D.
Course content
1 seminar 2 hours - range 1. Modification of bachelor / master thesis - basic rules, format, structure of work (page format, format of paragraphs and headings). 2. Modification of bachelor / master thesis - definition of styles, links, content generation. 3. Citation standards and their use in scientific work. 4. Creating an online electronic data collection questionnaire. 5. MS Excel - creating and editing tables, styles, format. 6. MS Excel - definition of formulas. 7. MS Excel - function definition. 8. MS Excel - creating and editing graphs, styles, format. 9. MS Excel - working with data, filtering and sorting data, importing and exporting user data. 10. Descriptive statistics. Graphical presentation of data. 11. Chi square test. Pivot tables. 12. t tests, ANOVA. Nonparametric tests. 13. Correlation and regression. 14. Repetition

Learning activities and teaching methods
Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming)
Learning outcomes

After having successfully completed the subject the student should be able to use information and communication technologies both in his/her future studies and career.
Prerequisites
Conditioning subjects: none

Assessment methods and criteria
Student performance assessment, Test

Requirement for grantinng the colloquium: 90% participation in tutorials, current evaluation of active work at seminars, to be able to complete task succsessfully
Recommended literature
  • Disman, M. Jak se vyrábí sociologická znalost. Praha: Karolinum, 2002. ISBN 978-80-246-0139-7.
  • Lasák. Jak na Exel (http://office.lasakovi.com/.
  • Navarrů, M. Excel 2016. Podrobný průvodce uživatele. Praha: Grada, 2016. ISBN 978-80-271-0193-1.


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