The STAV course introduces students to the graphical processing and presentation of statistical data using specialized software. The course also...
PROBABILITY AND STATISTICS A
The PSA course is part of the Statistics and Data Analysis micro-certificate program, which aims to familiarize students with the basic principles of statistical reasoning and classical and modern methods of statistical data analysis through three sub-courses (PSA, STAV, and MSM). The course can also be taken independently.
AIM OF THE SUBJECT:
In the PSA course, students will learn the basic concepts and methods of probability theory and mathematical statistics. A significant part of the lecture is devoted to the characteristics of random variables and various types of continuous and discrete distributions. The section on statistical procedures will explain the basic procedures of descriptive statistics and the visualization of statistical data. Students will also learn about the basic types of confidence intervals. Selected examples of statistical hypotheses will be used to demonstrate the process of constructing and interpreting statistical hypotheses.
STUDENT ENTRY REQUIREMENTS:
Fundamentals of differential and integral calculus, basic combinatorial considerations.
CONDITIONS FOR GRADUATING:
- Credits: Obtain a total of at least 50% of the maximum points in two tests.
- Exam: Knowledge and understanding of the material covered in lectures and exercises, correct probabilistic and geometric interpretation, application in examples. The exam is written, supplemented by a short oral part.
GUARANTORS AND TEACHERS:
- GUARANTOR: RNDr. Blanka Šedivá, Ph.D. (100%),
- LECTURER: RNDr. Blanka Šedivá, Ph.D. (100%),
- TRAINER(S): Mgr. Michal Friesl, Ph.D. (100%), RNDr. Zdeněk Kobeda (100%), RNDr. Blanka Šedivá, Ph.D. (100%),
LEARNING OUTCOMES:
After completing the course, students will be able to:
- formulate a statistical hypothesis
- implement basic methods of regression and correlation analysis
- recognize basic types of discrete and continuous probability distributions
- select an appropriate statistical test for hypothesis testing
- use differential and integral calculus to calculate probabilities
- select an appropriate plan for statistical experiments
TEACHING METHODS USED TO ACHIEVE PROFESSIONAL KNOWLEDGE:
- Exercises (practical activities),
- Lecture based on explanation,
- Problem solving,
- Self-study,
CATEGORY
ORGANISER:
Faculty of Applied Sciences
SUBJECT ABBREVIATION:
KMA/PSA
REGISTRATION DEADLINE:
From 15. 6. 2025 to 31. 8. 2025
DATE(S):
Winter semester 2025/2026
SUBJECT SCHEDULE/TIMETABLE:
Lecture: Room – US 207
Friday 8:25 a.m. – 11:00 a.m.
Exercise: Room – UC 210
Thursday 12:05 – 13:45 p.m.
FST Building, Bory Campus
18. 9. 2025 – 12. 12 2025
FORM OF STUDY:
Contact teaching: 65 hours
Exam preparation: 45 hours
Comprehensive test preparation: 20 hours
Partial test preparation: 10 hours
HOW IT ENDS:
- Credits + Exam
5 CREDITS
PRICE: CZK 5,000
After logging in, you will be redirected to the e-application form, where you must complete the registration.
ADRESS
Univerzitní 22, Pilsen
TO OBTAIN A MICROCERTIFICATE, YOU NEED TO ENROLL IN THE FOLLOWING COURSES
For more information about micro-certificates, click HERE.
After completing all the required subjects, please fill out the application for a micro-certificate.
- Academic year 2025/2025 Summer
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- Secondary school students
- Upskilling
The MSM course focuses on multidimensional statistical methods and their practical application in the analysis of real data. The course...