Course: Mathematics

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Course title Mathematics
Course code KMA/MA*H
Organizational form of instruction Lecture + Lesson
Level of course unspecified
Year of study not specified
Semester Winter and summer
Number of ECTS credits 7
Language of instruction Czech
Status of course unspecified
Form of instruction Face-to-face
Work placements Course does not contain work placement
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • Mlýnek Jaroslav, doc. RNDr. CSc.
  • Bímová Daniela, Mgr. Ph.D.
  • Bittnerová Daniela, RNDr. CSc.
  • Bittner Václav, Mgr. Ph.D.
  • Knobloch Roman, Mgr. Ph.D.
  • Břehovský Jiří, Mgr. Ph.D.
Course content
A. Differential calculus 1. Number sets. mapping, basic terms (domain of definition, image of mapping, types of mapping). 2. Real function of one variable. Basic elementary functions. Basic properties of functions and operation with functions. 3. Limit and continuity of functions. Calculation of limits. Properties of continuous function. 4. Derivative, geometric applications, tangent line to a function. Calculation of derivative, derivative of a composite function. 5. Convexity, concavity, point of inflexion, applications of derivative to studying of graph of a function (monotony, local and global extreme, convexity, concavity, point f inflexion). Asymptote. B. Integral calculus 6. Primitive function and indefinite integral. Basic rules, method per partes, substitution method. 7. Riemann definite integral, Newton-Leibniz's theorem. 8. Applications of definite integral. 9. Number series, criterions of convergence, absolute convergence. C. Linear algebra 10. Arithmetics vectors, linear (in)dependence of vectors. Vector space, dimension and basis of space. 11. Matrix, operations with matrixes. Rank of a matrix. Determinant, properties, calculation of determinant. 12. System of linear algebraic equations, solution of a system of linear algebraic equations. Gaussian elimination method. Cramer's rule. 13. Inverse matrix, properties, calculation of determination. 14. Matrix equations, use inverse matrixes to solution matrix equations.

Learning activities and teaching methods
Monological explanation (lecture, presentation,briefing)
  • Class attendance - 56 hours per semester
  • Semestral paper - 15 hours per semester
  • Preparation for credit - 30 hours per semester
  • Home preparation for classes - 60 hours per semester
  • Preparation for exam - 50 hours per semester
Learning outcomes
Basic mathematical concepts. Function of one real variable. Foundations of the differential calculus. Derivation and its applications, specially to continuity of a function. Basis of integral calculus and Riemann integral. Number progressions. Basis of the linear algebra. Operations with matrixes, Inverse matrix, calculation of determinant. Matrix equations. All items regarding to economic applications.
Basic knowledge of higher mathematics.
Prerequisites
Knowledge of mathematics at the high school level

Assessment methods and criteria
Combined examination

Credit: knowledge of mathematics at the high school level, regular attendance, passing of three tests
Recommended literature
  • Bittnerová, D. - Plačková, G.:. Louskáček 1 - Diferenciální počet funkcí jedné reálné proměnné (Sbírka úloh). Liberec, TUL 2006, 2007..
  • Bittnerová, D. - Plačková, G.:. Louskáček 2 - Integrální počet funkcí jedné reálné proměnné..
  • Jirásek, F. - Kriegelstein, E. - Tichý, Z.:. Sbírka řešených příkladů z matematiky I.. Praha, 1990.
  • Jirásek F., Kriegelstein E., Tichý Z. Sbírka řešených příkladů z matematiky. SNTL Praha, 1981.
  • Kaňka, M. - Henzler J.:. Matematika 2, Ekopress.. Praha, 2003. ISBN 80-86119-77-7.
  • Klůfa, J. - Coufal, J.:. Matematika 1, Ekopress.. Praha, 2003. ISBN 80-86119-76-9.
  • Vild, J. - Říhová, H.:. Diferenciální kalkul F1.. Liberec, 2002. ISBN 80-7083-552-4.
  • Vild, J. - Říhová, H.:. Integrální kalkul F1.. Liberec, 2005. ISBN 80-7083-587-7.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester