B_BR_MAT_k Mathematics and Statistics

NEWTON University
summer 2026
Extent and Intensity
0/10. 6 credit(s). Type of Completion: zk (examination).
Teacher(s)
doc. RNDr. Miroslav Kureš, Ph.D. (lecturer)
Ing. Karina Tatek Benetti, Ph.D. (lecturer)
RNDr. Marie Vostrejžová (seminar tutor)
Andrej Liška (alternate examiner)
Guaranteed by
doc. RNDr. Miroslav Kureš, Ph.D.
Centrum ekonomie a datové analytiky – Academic Department – NEWTON University
Timetable of Seminar Groups
B_BR_MAT_k/01: Sat 21. 2. 13:00–16:10 BR Učebna 01, Sun 29. 3. 8:45–10:15 BR Učebna 01, Sun 19. 4. 14:40–17:50 BR Učebna 03, M. Vostrejžová
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
The main objective is to familiarize students with how mathematics works. The course covers classic topics from introductory university mathematics courses. The topics take into account the requirements of follow-up courses, but the course is primarily informative in nature. The course assumes a permanent connection between the material and its applications, with an emphasis on economic applications. The course provides students with a modern approach to mathematical methods for practical use. Course objectives: to increase competence in logical and mathematical thinking; to provide a good idea of the potential of these disciplines and their wide use in practice; to familiarize students with the possibilities of using appropriate software for the given calculations.
Syllabus
  • Systems of linear equations, methods of solution.
  • Systems of linear equations in applications.
  • Elementary functions, basic properties, limits, and continuity.
  • Derivatives of functions, meaning, and calculation.
  • Derivatives of functions in applications.
  • Indefinite and definite integrals.
  • Fundamentals of probability theory.
  • Introduction to descriptive statistics, classified and unclassified data sets, variables, and frequencies.
  • Measures of position, measures of variability.
  • Multivariate data sets, correlation analysis.
  • Regression analysis, point estimation.
  • Regression analysis, interval estimation.
Literature
  • BAUER, Luboš. Matematika v ekonomii a ekonomice. Praha: Grada Publishing, 2015. ISBN 978-80-247-4419-3.
  • COUFAL, Jan; KLŮFA, Jindřich. Matematika 1. Praha: Ekopress, 2003. ISBN 978-80-8611-976-2.
  • KUREŠ, Miroslav. Úvod do moderního matematického myšlení a vybrané metody pro praxi. Brno: NC Publishing, 2008. ISBN 978-80-9038-583-2.
  • KAŇKA, Miloš; HENZLER, Jiří. Matematika 2. Praha: Ekopress, 2003. ISBN 80-86119-30-0.
  • KUREŠ, Miroslav. Normální křivka jako imperativní fenomén. Praha: Akademické nakladatelství CERM, 2005. ISBN 978-80-89600-10-6.
  • DĚMIDOVIČ, Boris Pavlovič. Sbírka úloh z matematické analýzy. Praha: Fragment, 2003. ISBN 80-7200-587-1.
Assessment methods
Credit: attendance at seminars (min. 80%), completion of seminar paper, written credit test; Exam: written test
Language of instruction
Czech
The course is also listed under the following terms summer 2025.
  • Enrolment Statistics (recent)
  • Permalink: https://is.newton.cz/course/nu/summer2026/B_BR_MAT_k