FPF:UIAI217 Statistics - Course Information
UIAI217 Statistics
Faculty of Philosophy and Science in OpavaSummer 2022
- Extent and Intensity
- 6/0/0. 7 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- RNDr. Radka Poláková, Ph.D. (lecturer)
- Guaranteed by
- doc. Ing. Petr Čermák, 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
- Applied Computer Science (programme FPF, B1802 AplI)
- Course objectives
- The course brings basic background to modern statistics which is used in public administration. The first goal of this course is to acquaint students with methodologies of data collecting followed by their processing as statistical files, basics of creating and reading statistical tables and charts, interpretation of descriptors of statistical files. Furthermore, the course also explains basis of regression and correlation analysis which represent basic descriptors to analysis relations among statistical data and practical using statistics to data analysis. Also are discussed the most important probabilistic models, chiefly normal distribution and statistical induction, problem of statistical hypothesis and finally principle time-series, their analysis, prediction and trends of indexing and data clustering.
- Syllabus
- 1. Basic statistical terms, statistical files, role of data in statistics, quantitative data
2. Basic operations in statistics, basic descriptors and their relation
3. Regression and correlation analysis
4. Elementary terms in probability theory
5. Probabilistic models, basics of statistical induction and hypotheses testing
6. Introduction to time-series and modern indexing methods
- 1. Basic statistical terms, statistical files, role of data in statistics, quantitative data
- Literature
- recommended literature
- Ramík, J., Čemerková, Š. Statistika A, Statistika B. Karviná, 2000. info
- Likeš, J., Cyhelský, L., Hindls, R. Statistika A. Praha, 1994. info
- Novák, I., Seger, J., Zychová, L. Statistika B. Praha, 1992. info
- Wonnacot, T., Wonnacot, R. Statistika pro obchod a hospodářství. Praha, 1992. info
- Cyhelský, L., Kaňoková, J., Novák, I. Základy teorie statistiky pro ekonomy. Praha, 1979. info
- Swoboda, H. Moderní statistika. Praha, 1977. info
- Teaching methods
- Interactive lecture
Lecture with a video analysis - Assessment methods
- Exam
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- Study Materials
The course can also be completed outside the examination period.
Information on the extent and intensity of the course: Přednáška 6 HOD/SEM. - Teacher's information
- * 75% attendance in exercises, active participation
* 30 points seminnary, 70 points exam
* Success rate min 51 pointsActivity Difficulty [h] Přednáška 6 Summary 6
- Enrolment Statistics (recent)
- Permalink: https://is.slu.cz/course/fpf/summer2022/UIAI217