The STAV course introduces students to the graphical processing and presentation of statistical data using specialized software. The course also...
MULTIVARIATE STATISTICAL METHODS
The MSM course is part of the Statistics and Data Analysis microcertificate 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 MSM course, students will focus on multidimensional statistical methods and, using specific examples, will learn about the applicability of advanced statistical methods in processing real data sets. The course will also include examples of data processing in Matlab and Python.
STUDENT ENTRY REQUIREMENTS:
Fundamentals of matrix, differential, and integral calculus, fundamentals of probability and statistics.
CONDITIONS FOR GRADUATING:
- Credits: Completing homework assignments.
- Exam: The exam is combined in nature, consisting of a comprehensive theoretical test (verifying knowledge of basic concepts and principles) and a practical part, which will test understanding of contexts, connections, and practical applications.
GUARANTORS AND TEACHERS:
- GUARANTOR: RNDr. Blanka Šedivá, Ph.D. (100%),
- LECTURER: RNDr. Blanka Šedivá, Ph.D. (100%),
- TRAINER(S): RNDr. Blanka Šedivá, Ph.D. (100%),
LEARNING OUTCOMES:
After completing the course, students will be able to:
- describe the advantages and disadvantages of multivariate methods
- understand the basic problems in the field of multivariate random variables
- be familiar with selected methods of multivariate statistical data analysis
TEACHING METHODS USED TO ACHIEVE PROFESSIONAL KNOWLEDGE:
- Exercises (practical activities),
- Independent work by students,
- Lecture with student participation.
CATEGORY
ORGANISER:
Faculty of Applied Sciences
SUBJECT ABBREVIATION:
KMA/MSM
REGISTRATION DEADLINE:
From 15. 6. 2025 to 31. 8. 2025
DATE(S):
Winter semester 2025/2026
SUBJECT SCHEDULE/TIMETABLE:
Room – UC 233
FST Building, Bory Campus
Tuesday 9:20 a.m. – 12:50 p.m.
16. 9. 2025 – 16. 12. 2025
FORM OF STUDY:
Contact teaching: 52 hours
Preparation of a seminar paper in a master’s degree program: 40 hours
Preparation of a presentation (report in a foreign language): 15 hours
Exam preparation: 40 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 2025/2026
- Art and Crafts
- Chemistry
- Czech language
- English language
- Geography
- German language
- Hobbies and free time activities
- Information Technology
- Law
- Music
- Physical education
- Physics
- Programming
- Psychology
- Russian language
- Secondary school students
- Upskilling
The course introduces students to the fundamentals of probability and mathematical statistics. It focuses on random variables, distributions, descriptive statistics,...