Mathematical Analysis

Language of Instruction:Czech
Completion:examination (written)
Type of
Guarantor:Hliněná Dana, doc. RNDr., Ph.D. (DMAT)
Deputy guarantor:Vítovec Jiří, Mgr., Ph.D. (DMAT)
Lecturer:Fuchs Petr, RNDr., Ph.D. (DMAT)
Fusek Michal, Ing., Ph.D. (DMAT)
Hliněná Dana, doc. RNDr., Ph.D. (DMAT)
Krupková Vlasta, RNDr., CSc. (DMAT)
Vítovec Jiří, Mgr., Ph.D. (DMAT)
Instructor:Fuchs Petr, RNDr., Ph.D. (DMAT)
Fusek Michal, Ing., Ph.D. (DMAT)
Hliněná Dana, doc. RNDr., Ph.D. (DMAT)
Krupková Vlasta, RNDr., CSc. (DMAT)
Novák Michal, doc. RNDr., Ph.D. (DMAT)
Šafařík Jan, Mgr. et Mgr., Ph.D. (BUT)
Vítovec Jiří, Mgr., Ph.D. (DMAT)
Faculty:Faculty of Electrical Engineering and Communication BUT
Department:Department of Mathematics FEEC BUT
Discrete Mathematics (IDA), DMAT
Numerical Methods and Probability (INM), DMAT
Monlecture - VítoveclecturesT12/2.173 08:0010:501BIB 2BIA 2BIB xx
Moncomp.lab - FuchslecturesT8/503 14:0015:501BIA 2BIA 2BIB xx 10 - 11
Moncomp.lab - FuchslecturesT8/503 16:0017:501BIA 2BIA 2BIB xx 12 - 13
Tuecomp.lab - FuseklecturesT8/522 10:0011:501BIB 2BIA 2BIB xx 30 - 31
Tuecomp.lab - FuseklecturesT8/522 12:0013:501BIB 2BIA 2BIB xx 32 - 33
Tuelecture - HliněnálecturesD105 13:0015:501BIA 2BIA 2BIB xx
Wedcomp.lab - NováklecturesT8/522 08:0009:502BIB xx
Wedcomp.lab - FuseklecturesT8/503 08:0009:501BIB 2BIA 2BIB xx 38 - 39
Wedcomp.lab - NováklecturesT8/522 08:0009:501BIB 2BIA xx 34 - 35
Wedcomp.lab - FuchslecturesT8/503 10:0011:501BIB 2BIA 2BIB xx 40 - 41
Wedcomp.lab - Vítovec pokročilélecturesT8/522 10:0011:501BIB 2BIA 2BIB xx 36 - 37
Wedcomp.lab - Hliněná pokročilélecturesA113 N103 N104 N105 12:0013:501BIA 2BIA 2BIB xx 14 - 15
Wedcomp.lab - HliněnálecturesA113 N103 N104 N105 14:0015:501BIA 2BIA 2BIB xx 16 - 17
Fricomp.lab - FuseklecturesT8/522 08:0009:501BIA 2BIA 2BIB xx 18 - 19
Fricomp.lab - FuseklecturesT8/522 10:0011:501BIA 2BIA 2BIB xx 20 - 21
Learning objectives:
  The main goal of the calculus course is to explain the basic principles and methods of higher mathematics that are necessary for the study of computer science. The practical aspects of applications of these methods and their use in solving concrete problems (including the application of contemporary mathematical software in the laboratories) are emphasized.
  Limit and continuity, derivative of a function. Partial derivatives. Basic differentiation rules. Elementary functions. Extrema for functions (of one and of several variables). Indefinite integral. Techniques of integration. The Riemann (definite) integral. Multiple integrals. Applications of integrals. Infinite sequences and infinite series. Taylor polynomials.
Knowledge and skills required for the course:
  Secondary school mathematics and the kowledge from Discrete Mathematics course.
Learning outcomes and competencies:
  The ability of orientation in the basic problems of higher mathematics and the ability to apply the basic methods. Solving problems in the areas cited in the annotation above by using basic rules. Solving these problems by using modern mathematical software.
Syllabus of lectures:
  1. Function of one variable, limit, continuity.
  2. Differential calculus of functions of one variable I: derivative, differential, Taylor theorem.
  3. Differential calculus of functions of one variable II: maximum, minimum, behaviour of the function.
  4. Integral calculus of functions of one variable I: indefinite integral, basic methods of integration.
  5. Integral calculus of functions of one variable II: definite Riemann integral and its application.
  6. Infinite number and power series.
  7. Taylor series.
  8. Functions of two and three variables, geometry and mappings in three-dimensional space.
  9. Differential calculus of functions of more variables I: directional and partial derivatives, Taylor theorem.
  10. Differential calculus of functions of more variables II: funcional extrema, absolute and bound extrema.
  11. Integral calculus of functions of more variables I: two and three-dimensional integrals.
  12. Integral calculus of functions of more variables II: method of substitution in two and three-dimensional integrals.
Syllabus of numerical exercises:
 The class work is prepared in accordance with the lecture.
Syllabus of computer exercises:
 Trained tasks are prepared to follow and complete study matter from lectures and seminar practice.
Syllabus - others, projects and individual work of students:
  • Limit, continuity and derivative of a function. Partial derivative. Derivative of a composite function.
  • Differential of function of one and several variables. L'Hospital's rule. Behaviour of continuous and differentiable function. Extrema of functions of one and several variables.
  • Primitive function and undefinite integral. Basic methods of integration. Definite one-dimensional and multidimensional integral.
  • Methods for solution of definite integrals (Newton-Leibnitz formula, Fubini theorem).
  • Indefinite number series. Convergence of series. Sequences and series of functions. Taylor theorem. Power series.
Fundamental literature:
  • Edwards, C.H., Penney, D.E., Calculus with Analytic Geometry, Prentice Hall, 1993.
  • Fong, Y., Wang, Y., Calculus, Springer, 2000.
  • Ross, K.A., Elementary analysis: The Theory of Calculus, Springer, 2000.
  • Small, D.B., Hosack, J.M., Calculus (An Integrated Approach), Mc Graw-Hill Publ. Comp., 1990.
  • Thomas, G.B., Finney, R.L., Calculus and Analytic Geometry, Addison-Wesley Publ. Comp., 1994.
  • Zill, D.G., A First Course in Differential Equations, PWS-Kent Publ. Comp., 1992.
Study literature:
  • Brabec B., Hrůza,B., Matematická analýza II, SNTL, Praha, 1986.
  • Švarc, S. a kol., Matematická analýza I, PC DIR, Brno, 1997.
  • Krupková, V. Matematická analýza pro FIT, electronical textbook, 2007.
Progress assessment:
  Practice tasks: 28 points.
Homeworks: 12 points.
Semestral examination: 60 points.

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