FPF:UINK137 Probability and Statistics - Course Information

UINK137 Probability and Statistics

Extent and Intensity

0/0. 7 credit(s). Type of Completion: zk (examination).

Teacher(s)

doc. Ing. Petr Čermák, 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

Literature

required literature
• Otipka, P., Šmajstrla, V. PRAVDĚPODOBNOST A STATISTIKA. Ostrava, 2013. URL info

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)

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 points

Activity	Difficulty [h]
Přednáška	6
Summary	6

• Enrolment Statistics (Summer 2019, recent)
  
• Permalink: https://is.slu.cz/course/fpf/summer2019/UINK137