
In this course, students will learn about mathematical procedures in financial mathematics and life insurance, such as interest rates, cash...
The MME course is part of the Financial Mathematics and Models micrcertificate program, which aims to familiarize students with the basic models and principles of financial calculations, time series models, and mathematical models in econometrics through three sub-courses (FIPM, SA2, and MME). The course can also be taken independently.
In the MME course, students will learn about the use of various mathematical methods and principles in economic and econometric models. They will learn to formulate a regression model suitable for specific data, use knowledge of regression model assumptions for regression diagnostics, estimate the parameters of linear and nonlinear regression models in at least one software environment, correctly apply formal and content aspects in mathematical expression, both written and oral, interpret econometric models for a wider professional audience, and assess the adequacy of the proposed models.
Basics of linear algebra, differential and integral calculus, probability and statistics, knowledge of microeconomic and macroeconomic concepts.
After completing the course, students will be able to:
Faculty of Applied Sciences
KMA/MME
From 15. 6. 2025 to 31. 8. 2025
Winter semester 2025/2026
Room – UC 234
FST Building, Bory Campus
Wednesday 11:10 a.m. – 1:45 p.m.
17. 9. 2025 – 10. 12. 2025
Contact teaching: 39 hours
Exam preparation: 40 hours
Preparation of a seminar paper in a bachelor’s degree program: 30 hours
After logging in, you will be redirected to the e-application form, where you must complete the registration.
Univerzitní 22, Pilsen
For more information about microcertificates, click HERE.
After completing all the required subjects, please fill out the application for a microcertificate.
In this course, students will learn about mathematical procedures in financial mathematics and life insurance, such as interest rates, cash...
In SA2, students learn to formulate and interpret time series models and understand methods for estimating their parameters. Emphasis is...