Recommended prerequisites for completing the course are basic mathematics (working with functions, basic algebraic operations, basic differential and integral calculus), basics of probability and random variables (concept of random events, probabilities, random variables, basic types of random variable distributions).

The course-unit credit is awarded on the following conditions (max. 40 points):

• 80% attendance at exercise classes.
• Completion of two semester assignments (more detailed information on the topics of the assignments and the method of submission will be specified at the beginning of the semester).

The exam (max. 60 points)

• The exam is written, lasts 120 minutes, and consists of four examples and one theoretical question.
• During the exam, students may use their own notes and materials posted on the e-learning website.

The mark, which corresponds to the total sum of points achieved (max 100 points), consists of:

• points achieved in semestral assignments,
• points achieved by solving examples,
• points achieved by quality of answer to the theoretical question.

The grades and corresponding points:
A (100–90), B (89–80), C (79–70), D (69–60), E (59–50), F (49–0).

COMPLETION OF THE COURSE FOR STUDENTS WITH INDIVIDUAL STUDY

The course-unit credit is awarded on the following conditions (max. 40 points):

• Completion of two semester assignments (more detailed information on the topics of the assignments and the method of submission will be specified at the beginning of the semester).

The exam (max. 60 points)

• The exam is written, lasts 120 minutes, and consists of four examples and one theoretical question.
• During the exam, students may use their own notes and materials posted on the e-learning website.

The mark, which corresponds to the total sum of points achieved (max 100 points), consists of:

• points achieved in semestral assignments,
• points achieved by solving examples,
• points achieved by quality of answer to the theoretical question.

The grades and corresponding points:
A (100–90), B (89–80), C (79–70), D (69–60), E (59–50), F (49–0).

Attendance at lectures is not mandatory but is recommended. Attendance at seminars is controlled.

The aim of the course is to familiarize students with the basics of mathematical statistics, analysis of variance, categorical and correlation analysis, regression analysis, and time series analysis so that they are able to apply this knowledge appropriately in managerial, IT, and economic problems. Students will acquire basic knowledge of the statistical methods mentioned above and at the same time learn how to use these methods in practice in the statistical program R. After completing the course, students will be prepared to apply the skills they have acquired in follow-up master's courses and in solving real-world problems.

• Programme BAK-MIn Bachelor's 2 year of study, summer semester, compulsory