Course: Mathematics II

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Course title Mathematics II
Course code AUM/TK2M2
Organizational form of instruction Seminary
Level of course Bachelor
Year of study not specified
Semester Summer
Number of ECTS credits 6
Language of instruction Czech
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Pátíková Zuzana, doc. Mgr. Ph.D.
  • Kolařík Miroslav, doc. RNDr. Ph.D.
Course content
- Indefinite integral and the methods of integrating - antiderivative of the function, indefinite integral, integration by parts, substitution method, decomposition into partial fractions, integration of rational functions, trigonometric substitution. - Definite integral - basic properties, integration by parts and substitution method, geometrical applications, physical applications. - The n-dimensional Euclidean point-vector space En, the real function of several variables. - Limit of a function of n real variables, partial derivatives, total differential and differentiability of a function, tangent plane and normal line of a surface. - Local, constrained and global extremes of function. - Implicitly defined functions - Introduction to the integral of vector function

Learning activities and teaching methods
unspecified
prerequisite
Knowledge
Student ovládá odborné znalosti nabyté v předmětu Matematika 1.
Student ovládá odborné znalosti nabyté v předmětu Matematika 1.
Skills
Student ovládá odborné dovednosti získané v předmětu Matematika 1.
Student ovládá odborné dovednosti získané v předmětu Matematika 1.
learning outcomes
Knowledge
Explain what a primitive function is to a given function.
Explain what a primitive function is to a given function.
Formulate the Newton-Leibniz formula.
Formulate the Newton-Leibniz formula.
List what a certain integral can be used for.
List what a certain integral can be used for.
Describe the geometric meaning of the partial derivatives of a function of two variables at a point.
Describe the geometric meaning of the partial derivatives of a function of two variables at a point.
Explain the meaning of gradient at a point.
Explain the meaning of gradient at a point.
Describe the process of finding local extrema of a function of two variables.
Describe the process of finding local extrema of a function of two variables.
Skills
Integrate using integration formulas and integrand modifications.
Integrate using integration formulas and integrand modifications.
Apply integration methods per partes and substitution.
Apply integration methods per partes and substitution.
Decompose a rational function into partial fractions.
Decompose a rational function into partial fractions.
Using a definite integral, calculate the area content of bounded graphs of elementary functions.
Using a definite integral, calculate the area content of bounded graphs of elementary functions.
Describe simple integration areas (square, rectangle, triangle, area between graphs of elementary functions) using inequalities.
Describe simple integration areas (square, rectangle, triangle, area between graphs of elementary functions) using inequalities.
Calculate the double integral in Cartesian coordinates.
Calculate the double integral in Cartesian coordinates.
Convert the appropriate double integral to polar coordinates and integrate.
Convert the appropriate double integral to polar coordinates and integrate.
Compute partial derivatives of functions of two variables.
Compute partial derivatives of functions of two variables.
Construct the equation of the tangent plane to the graph of a function of two variables at a point.
Construct the equation of the tangent plane to the graph of a function of two variables at a point.
Find the stationary points of the function of two variables and use the Sylvester decision criterion to decide on the type of local extremum.
Find the stationary points of the function of two variables and use the Sylvester decision criterion to decide on the type of local extremum.
Find global extrema on a compact set.
Find global extrema on a compact set.
teaching methods
Knowledge
Lecturing
Lecturing
assessment methods
Grade (Using a grade system)
Grade (Using a grade system)
Written examination
Written examination
Recommended literature
  • Anton H., Bivens I., Davis S. Calculus. Wiley, 2012. ISBN 978-0-470-64769-1.
  • Ostravský, J. Diferenciální počet funkce více proměnných. Nekonečné číselné řady. Zlín : UTB, 2007. ISBN 978-80-7318-567-1.
  • Ostravský J., Polášek V. Diferenciální a integrální počet funkce jedné proměnné: vybrané statě. Zlín, 2011. ISBN 978-80-7454-124-7.
  • Riley, K.F. a kol. Mathematical Methods for Physics and Engineering. Cambridge University Press, 2015. ISBN 100521679710.


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