Course detail

Mathematical Analysis II F

FSI-TA2 Acad. year: 2019/2020 Summer semester

The course Mathematical Analysis II is directly linked to the introductory course Mathematical Analysis I. It concerns differential and integral calculus of functions in several real variables. Students will acquire the theoretical background that is necessary in solving some particular problems in mathematics as well as in technical disciplines.

Language of instruction

Czech

Number of ECTS credits

7

Learning outcomes of the course unit

Application of several variable calculus methods in physical and technical problems.

Prerequisites

Mathematical Analysis I, Linear Algebra.

Planned learning activities and teaching methods

The course is lectured through lessons supported by exercises. The content of lessons is focused on a theoretical background of the subject. The exercises have a practical/computational character.

Assesment methods and criteria linked to learning outcomes

Course-unit credit: active attendance at the seminars, successful passing through two written tests (i.e. receiving at least one half of all possible points from each of them).

Exam: will have both a written part as well as an oral part, the condition for admission to the oral part is receiving at least one half of all possible points from the written part).

Aims

Students should get familiar with basics of differential and integral calculus in several real variables. With such knowledge, various tasks of physical and engineering problems can be solved.

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

Seminars: obligatory.
Lectures: recommended.

The study programmes with the given course

Programme B-FIN-P: Physical Engineering and Nanotechnology, Bachelor's, compulsory

Type of course unit

 

Lecture

52 hours, optionally

Teacher / Lecturer

Syllabus

1. Metric spaces, convergence in a metric space;
2. Complete and compact metric spaces, mappings between metric spaces;
3. Function of several variables, limit and continuity;
4. Partial derivatives, directional derivative, gradient;
5. Total differential, Taylor polynomial;
6. Local and global extrema;
7. Implicit functions, smooth mappings from R^n to R^m;
8. Extrema subject to constraints, double integral;
9. Triple integral, alternative approach to multiple integrals;
10. Substitution in a double and a triple integral, applications;
11. Plane and space curves, line integrals, Green's theorem;
12. Path independence for the line integrals and related notions, space surfaces;
13. Surface integrals, Gauss-Ostrogradsky's theorem and Stokes' theorem.

Exercise

33 hours, compulsory

Teacher / Lecturer

Syllabus

Seminars are related to the lectures in the previous week.

Computer-assisted exercise

6 hours, compulsory

Syllabus

This seminar is supposed to be computer assisted.