BE_PH_MST Mathematics and Statistics

NEWTON University
summer 2026
Extent and Intensity
2/2. 6 credit(s). Type of Completion: zk (examination).
Teacher(s)
Dipl.-Ing. Juan Pablo Maldonado, Ph.D. (lecturer)
BcA. Robert Michael Westbrook, LL.M., MBA (seminar tutor)
Guaranteed by
doc. RNDr. Miroslav Kureš, Ph.D.
Centre for International Programmes – International programmes – NEWTON University
Timetable
Mon 13:30–15:00 PH Učebna 09; and Mon 4. 5. 13:30–15:00 PH Učebna 09
  • Timetable of Seminar Groups:
BE_PH_MST/01: Thu 11:20–12:50 PH Učebna 03, except Thu 12. 2., except Thu 26. 2. ; and Thu 26. 2. 11:20–12:50 PH Učebna 02, R. Westbrook
BE_PH_MST/02: Thu 13:30–15:00 PH Učebna 02, except Thu 12. 2., R. Westbrook
BE_PH_MST/03: Fri 15:10–16:40 Zoom.Praha1, except Fri 13. 2., except Fri 6. 3., R. Westbrook
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
The course aims to introduce students to the principles of mathematical methods and the possibilities of their application in practice. The topics reflect the requirements of related specialized courses taking into account the informative nature of these. The course continuously links with various applications, with an emphasis on the economic ones. The course will provide students with a modern approach to mathematical methods for practice. It presents the university mathematics introductory course´s classic topics and emphasizes the logical continuity and demonstration of mathematical thinking. In terms of applicability, the course focuses on optimization and statistics. The course provides a quality idea of the potential of these disciplines and serves as their theoretical basis.
Syllabus
  • A. Linear algebra
  • 1. Systems of linear equations, solution methods
  • 2. Systems of linear equations in applications
  • B. Introduction to Differential Calculus
  • 3. Elementary functions, basic properties, limit and continuity
  • 4. Derivation of a function, meaning and calculation
  • 5. Derivation of functions in applications
  • C. Introduction to Integral Calculus
  • 6. Indefinite and definite integral
  • D. Introduction to Descriptive Statistics
  • 7. Basics of probability theory
  • 8. Introduction to descriptive statistics, basic statistical terms
  • 9. -10. Elementary data processing methods
  • 11. -12. Introduction to regression and correlation calculus
Assessment methods
Ungraded credit: participation in seminars min. 80%, four written credit tests, preparation of credit seminar work
Examination: written final test
Language of instruction
English
The course is also listed under the following terms summer 2024, summer 2025.
  • Enrolment Statistics (recent)
  • Permalink: https://is.newton.cz/course/nu/summer2026/BE_PH_MST