SubjectsSubjects(version: 978)
Course, academic year 2025/2026
   
Mathematics C2 - MS710P14
Title: Matematika C2
Czech title: Matematika C2
Guaranteed by: Institute of Applied Mathematics and Information Technologies (31-710)
Faculty: Faculty of Science
Actual: from 2023
Semester: summer
E-Credits: 5
Examination process: summer s.:
Hours per week, examination: summer s.:2/2, C+Ex [HT]
Capacity: unlimited
Min. number of students: 6
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: Czech
Note: enabled for web enrollment
Guarantor: RNDr. Hana Hladíková, Ph.D.
Teacher(s): RNDr. Hana Hladíková, Ph.D.
Annotation -
Is a continuation of the course MatC2, the main focus will be improper integral, series and the calculus of functions of several variables.
Last update: Hladíková Hana, RNDr., Ph.D. (19.08.2025)
Literature - Czech

Základní literatura:  

Kotvalt, V.: Základy matematiky pro přírodovědné obory. Karolinum, 2008.

Štědrý, M.: Sbírka úloh k matematice pro geografy. Karolinum, 2006.

N. Krylová, M. Štědrý: Sbírka příkladů z matematiky I. PřF UK, Praha 1994.

 

D. Turzík a kolektiv: Matematika II ve strukturovaném studiu II. VŠCHT, Praha 2014 (také 2005, 2002, 1998).

 Budínský, B.: Analytická a diferenciální geometrie. SNTL, 1983

 J. Hamhalter, J. Tišer:  Diferenciální počet funkcí více proměnnných. Skripta ČVUT, 2005.

J. Hamhalter, J. Tišer:  Integrální počet funkcí více proměnnných. Skripta ČVUT, 2005.

Last update: Hladíková Hana, RNDr., Ph.D. (26.11.2019)
Requirements to the exam - Czech

Zápočet lze získat za aktivní účast na cvičení a na základě úspěšného zápočtového testu.

Ke zkoušce se lze přihlásit až po získání zápočtu. Zkouška v každém termínu je kombinovaná a začíná písemnou částí. Pokud se v řádném nebo prvním opravném termínu nezíská v písemné části aspoň 55 % bodů, je hodnocení zkoušky neprospěl/neprospěla. Při druhém opravném termínu následuje po písemné části ústní zkouška, ať je výsledek písemné části jakýkoliv.

Last update: Hladíková Hana, RNDr., Ph.D. (17.02.2025)
Syllabus -

Differential calculus of several variables: the metric space En, vector-valued function of several variables, limits and continuity, partial derivatives and differentials, chain rules, the gradient, directional derivatives, Taylor´s theorem, extreme values, differentiation of implicit functions.

Multiple integral: double and triple integrals, evaluation - iterated integrals, integration in polar, cylindrical and spherical coordinates, applications.

Calculus of vector fields: vector fields, basic curves and surfaces in the space, conservative vector fields and potencial functions, applications of line integrals.

Sequences and serier: convergence properties of sequences, infinit series of constants, nonnegative series - the integral, the comparison and the ratio tests, alternating series and absolute convergence, power series, Taylor series.

Last update: Hladíková Hana, RNDr., Ph.D. (26.11.2019)
Learning outcomes -

The student will be able to:

  • Functions of Several Variables
    • Define and interpret functions of several variables
    • Compute partial derivatives and the gradient
    • Apply directional derivatives and the total differential
    • Use the chain rule for composite functions
    • Find local extrema using second derivatives
    • Apply the implicit function theorem
  • Taylor Polynomial and Approximation
    • Construct Taylor polynomials for functions of one or more variables
    • Estimate approximation error using the remainder of the Taylor series
    • Use polynomials for local approximation of functions
  • Integral Calculus
    • Work with improper integrals and determine their convergence
    • Compute double and triple integrals in various coordinate systems
    • Apply Fubini’s theorem and change of variables
    • Evaluate line integrals of the first and second kind
    • Interpret integrals geometrically and physically
  • Vector Analysis
    • Work with vector fields, gradient, divergence, and curl
  • Series
    • Analyze numerical series and determine their convergence
    • Work with power series and determine their radius of convergence
    • Construct Taylor series for functions and determine the interval of convergence
    • Expand functions into Fourier series and interpret their significance
  • Differential Equations
    • Recognize types of ordinary differential equations (ODEs)
    • Use methods such as separation of variables and variation of constants for first-order ODEs
    • Interpret solutions in the context of real-world applications
Last update: Hladíková Hana, RNDr., Ph.D. (19.08.2025)
 
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