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Course detail

Mathematical Analysis III

Course unit code: FSI-SA3
Academic year: 2016/2017
Type of course unit: compulsory
Level of course unit: Bachelor's (1st cycle)
Year of study: 2
Semester: winter
Number of ECTS credits:
Learning outcomes of the course unit:
Students will acquire knowledge of basic types of differential equations. They will be made familiar with differential equations as mathematical models of given problems, with problems of the existence and uniqueness of the solution and with the choice of a suitable solving method. They will master solving of problems of the convergence of infinite series as well as expansions of functions into Taylor and Fourier series.
Mode of delivery:
90 % face-to-face, 10 % distance learning
Linear algebra, differential and integral calculus of functions in a single and more variables.
Not applicable.
Recommended optional programme components:
Not applicable.
Course contents (annotation):
The course provides an introduction to the theory of infinite series and the theory of ordinary differential equations. These branches form the theoretical background in the study of many physical and engineering problems. The course deals with the following topics:
Number series. Function series. Power series. Taylor series. Fourier series.
Ordinary differential equations. First order differential equations. Higher order linear differential equations. Systems of first order linear differential equations. Stability theory.
Recommended or required reading:
Fichtengolc, G.M.: Kurs differencialnogo i integralnogo isčislenija, tom II, Moskva, 1966.
Kalas, J., Ráb, M.: Obyčejné diferenciální rovnice, Brno, 1995.
Fichtengolc, G.M.: Kurs differencialnogo i integralnogo isčislenija, tom III, Moskva, 1966.
Čermák, J., Ženíšek, A.: Matematika III, Brno, 2001.
Ženíšek, A.: Vybrané kapitoly z matematické analýzy, Brno, 1997.
Hartman, P.: Ordinary differential equations, New York, 1964.
Čermák, J.: Sbírka příkladů z Matematické analýzy III a IV, Brno, 1998.
Planned learning activities and teaching methods:
The course is taught through lectures explaining the basic principles and theory of the discipline. Exercises are focused on practical topics presented in lectures.
Assesment methods and criteria linked to learning outcomes:
Course-unit credit is awarded on the following conditions: Active participation in seminars. Fulfilment of all conditions of the running control of knowledge. At least half of all possible points in both check tests (the first test takes place in 8th week of the semester, the second one in 13th week of the semester). If a student does not fulfil this condition, the teacher can set an alternative one.
Examination: The examination tests the knowledge of definitions and theorems (especially the ability of their application to the given problems) and practical skills in solving of examples. The exam is written (possibly followed by an oral part). The final grade reflects especially the result in the written part of the exam. However, the examiner can also take account of the results in the check tests completed in seminars.
Grading scheme is as follows: excellent (90-100 points), very good
(80-89 points), good (70-79 points), satisfactory (60-69 points), sufficient (50-59 points), failed (0-49 points). The grading in points may be modified provided that the above given ratios remain unchanged.
Language of instruction:
Work placements:
Not applicable.
Course curriculum:
Not applicable.
The aim of the course is to explain basic notions and methods of solving ordinary differential equations, and foundations of infinite series theory. The task of the course is to show that knowledge of the theory of differential equations can be utilized especially in physics and technical branches. Moreover, it is shown that foundations of infinite series theory are important tools for solving various problems.
Specification of controlled education, way of implementation and compensation for absences:
Attendance at lectures is recommended, attendance at seminars is checked. Lessons are planned according to the week schedules. Absence from seminars may be compensated for by the agreement with the teacher.

Type of course unit:

Lecture: 39 hours, optionally
Teacher / Lecturer: doc. RNDr. Jan Čermák, CSc.
Syllabus: 1. Number series. Convergence criteria. Absolute and non-absolute convergence.
2. Function and power series. Pointwise and uniform convergence.
3. Power series. Convergence radius. Properties of power series.
4. Taylor series and expansions of functions into Taylor series.
5. Fourier series. Problems of the convergence and expansions of functions.
6. ODE. Basic notions. Types of solutions. Initial and boundary value problem.
7. Analytical methods of solving of 1st order ODE. Problem of existence and uniqueness.
8. Higher order ODEs. Properties of solutions of linear equations.
9. Methods of solving of higher order homogeneous linear ODEs.
10. Boundary value problem for 2nd order ODEs.
11. Systems of 1st order ODEs. Properties of solutions of linear systems.
12. Methods of solving of linear systems of 1st order ODEs.
13. Stability of ODEs and their systems.
seminars: 33 hours, compulsory
Teacher / Lecturer: doc. RNDr. Jan Čermák, CSc.
Ing. Tomáš Kisela, Ph.D.
doc. Ing. Jiří Šremr, Ph.D.
Syllabus: 1. Limits and integrals - revision.
2. Infinite series.
3. Function series.
4. Power series.
5. Taylor series.
6. Fourier series.
7. Analytical methods of solving of 1st order ODEs.
8. Applications of 1st order ODEs.
9. Higher order linear homogeneous ODEs.
10. Higher order linear non-homogeneous ODEs.
11. Applications of higher order linear ODEs.
12. Systems of 1st order linear homogeneous ODEs.
13. Systems of 1st order linear non-homogeneous ODEs.
seminars in computer labs: 6 hours, compulsory
Teacher / Lecturer: doc. RNDr. Jan Čermák, CSc.
Syllabus: The course is realized in computer labs. The MAPLE software is utilized to illustrate and complete the following topics: 1. Function series - graphical illustrations of types of the convergence (with a special emphasize on Taylor and Fourier series). 2. ODEs - graphical methods of solving (direction fields), geometrical interpretation of solutions (the phase portrait), the Taylor series method, geometrical applications (orthogonal trajectories and others).

The study programmes with the given course