UIINP19 Probability and Statistics

Faculty of Philosophy and Science in Opava
Summer 2025
Extent and Intensity
2/2/0. 6 credit(s). Type of Completion: zk (examination).
Teacher(s)
RNDr. Radka Poláková, Ph.D. (lecturer)
RNDr. Radka Poláková, Ph.D. (seminar tutor)
Guaranteed by
RNDr. Radka Poláková, Ph.D.
Institute of Computer Science – Faculty of Philosophy and Science in Opava
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
A student obtains knowledge about data analysis and basic information from probability theory importatnt for the analysis in this subject. Descriptive statistics of data in a data file is described and also mechanisms of inference statistics, which are necessary to know how to get features of whole population from the data about sample. Also basics of correlation and regression analysis as essential tools of exploring relations between variables in data are dealt. Time series and central limit theorems are introduced.
Learning outcomes
The student will have a basic understanding of what statistics is, what it is used for, and what methods it uses. The student will be able to apply this knowledge.
Syllabus
  • 1. Basic terms of statistics.
  • 2. Descriptive statistics.
  • 3.-4. Basics of probability theory. Random variable. Relationship of two random variables.
  • 5.-7. Inference statistics. Statistical estimates. Statistical hypothesis testing.
  • 8. Other statistical tests.
  • 9. Correlation analysis.
  • 10. Regression analysis.
  • 11. Time series.
  • 12. Central limit theorems.
  • 13. Revision.
Teaching methods
Interactive lecture
Lecture with a video analysis
Assessment methods
Attendance – a full time study: To attend the lectures is recomended. Seminars are obligatory.
Attendance – a part time study: Lectures are obligatory.
Credit test and also exam test are written. A student have to reach fifty percent assesment minimally.
Language of instruction
Czech
Further Comments
The course can also be completed outside the examination period.
The course is also listed under the following terms Summer 2020, Summer 2021, Summer 2022, Summer 2023, Summer 2024.
  • Enrolment Statistics (Summer 2025, recent)
  • Permalink: https://is.slu.cz/course/fpf/summer2025/UIINP19