Course detail

Calculus 2

FIT-IMA2Acad. year: 2021/2022

Series. The limit, continuity, partial derivatives and extrema of a function of several variables. Double and triple integrals. Differential equations. Analytical and numerical solutions of the initial problem.

Language of instruction

Czech

Number of ECTS credits

4

Mode of study

Not applicable.

Learning outcomes of the course unit

The ability to understand the basic problems of higher calculus and use derivatives, integrals and differential equations for solving specific problems.

Prerequisites

The IMA1 course.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Written tests during semester (five 4-point tests).

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

The main goal of the course is to enhance the knowledge of calculus from the previous semester and explain the basic principles and methods of higher calculus. The emphasis is put on handling the practical use of these methods for solving specific problems.

Specification of controlled education, way of implementation and compensation for absences

Classes are compulsory (presence at lectures, however, will not be controlled), absence at numerical classes has to be excused.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Basic literature

Not applicable.

Recommended reading

Knichal, V., Bašta, A., Pišl, M., Rektorys, K., Matematika I, II, SNTL Praha, 1966. (CS)

Classification of course in study plans

  • Programme IT-BC-3 Bachelor's

    branch BIT , 2. year of study, winter semester, compulsory

  • Programme BIT Bachelor's, 2. year of study, winter semester, compulsory

Type of course unit

 

Lecture

26 hours, compulsory

Teacher / Lecturer

Syllabus

  1. Number series.
  2. Power series.
  3. Fourier series. Fourier transform.
  4. Differential calculus of functions of several variables I: limit, continuity, partial derivatives, Schwarz theorem.
  5. Differential calculus of functions of several variables II: differential, tangent plane, Taylor polynomial.
  6. Differential calculus of functions of more variables III: local extrema, Hess matrix, Sylvester criterion.
  7. Integral calculus of functions of several variables I (particularly in 2 and 3 dimensions): definitions and basic concepts.
  8. Integral calculus of functions of several variables II: multidimensional and multiple integrals, Fubini theorem.
  9. Integral calculus of functions of several variables III: evaluation and applications of double and triple integrals.
  10. Introduction to differential equations. Initial problem. Existence and uniqueness of a solution. Separable equations.
  11. Numerical solution of differential equations of the first order.

Computer-assisted exercise

26 hours, compulsory

Teacher / Lecturer

Syllabus

Problems discussed at numerical classes are chosen so as to complement suitably the lectures.

E-learning texts

Krupková, Fuchs: Matematická analýza pro FIT (cs)
Fajmon, Hlavičková, Novák, Vítovec: Numerická matematika a pravděpodobnost (cs)
Kolářová: IMA 2 - Sbírka úloh (cs)