Course detail
Mathematics III
FSI-3M-A Acad. year: 2024/2025 Winter semester
The course provides an introduction to the theory of infinite series and the theory of ordinary and partial 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.
Partial differential equations. Classification. Modelling with differential equations.
Basic numerical methods for solving differential equations with a suitable software (e.g. Matlab).
Language of instruction
English
Number of ECTS credits
8
Supervisor
Department
Entry knowledge
Linear algebra, differential and integral calculus of functions of a single variable and of more variables.
Rules for evaluation and completion of the course
Course-unit credit is awarded on the following conditions: Active participation in seminars fulfilment of all conditions of the running control of knowledge (this concerns also the seminars in computer lab). At least half of all possible points in each of the both tests.
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 has written and oral part. The written exam consists in particular of the examples on the following topics:
Number and function series, the expansion of a function into Taylor series, solving of first order ODEs, solving of higher order linear ODEs, solving of system of first order linear ODEs, Fourier series, solving of ODEs via the infinite series and the Laplace tranform method, boundary value problems, basics of PDEs theory. Some theoretical queries concerning basic concepts can be included in the written part as well.
Topics of practical part: The expansion of a function into Taylor series, solving of first order ODEs, solving of higher order linear ODEs, solving of system of first order linear ODEs.
The final grade reflects the result of the written part of the exam (maximum 80 points) and the result of the oral part (maximum 20 points).
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).
Attendance at lectures is recommended, attendance at seminars is obligatory and checked. Lessons are planned according to the week schedules. Absence from seminars may be compensated for by the agreement with the teacher.
Aims
The aim of the course is to explain basic notions and methods of solving ordinary and partial 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.
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.
The study programmes with the given course
Programme B-STI-Z: Fundamentals of Mechanical Engineering, Bachelor's, recommended course
Programme B-STI-A: Fundamentals of Mechanical Engineering, Bachelor's, compulsory
Type of course unit
Lecture
39 hours, optionally
Teacher / Lecturer
Syllabus
1. Number series. Basic notions. Convergence criteria.
2. Operations with number series. Function series. Basic properties.
3. Power series. Taylor series and expansions of functions into power series.
4. Trigonometric Fourier series. Problems of the convergence and expansions of functions.
5. Ordinary differential equations (ODE). Basic notions. The existence and uniqueness of the solution to the initial value problem for 1st order ODE. Analytical methods of solving of 1st order ODE.
6. Higher order ODEs. Basic notions. The existence and uniqueness of the solution to the initial value problem for higher order ODEs. Genral solutions of homogeneous and nonhomogeneous linear equations. Methods of solving of higher order homogeneous linear ODEs with constant coefficients.
7. Methods of solving of higher order non-homogeneous linear ODEs with constant coefficients.
8. Systems of 1st order ODEs. Basic notions. The existence and uniqueness of the solution to the initial value problem for systems of 1st order ODE. General solution of homogeneous and non-homogeneous systems of 1st order ODE.
9. Methods of solving of homogeneous systems of 1st order linear ODEs.
10. Methods of solving of non-homogeneous systems of 1st order linear ODEs.
11. The Laplace transform and its use in solving of linear ODEs. The method of Taylor series in solving of ODEs.
12. Stability of solutions of ODEs and their systems. Boundary value problem for 2nd order ODEs. Partial differential equations. Basic notions. The equations of mathematical physics.
13. Mathematical modelling by differential equations.
Exercise
39 hours, compulsory
Teacher / Lecturer
Syllabus
1. Limits and integrals – revision.
2. Infinite series.
3. Function and power series.
4. Taylor series.
5. Fourier series.
6. Analytical methods of solving of 1st order ODEs.
7. Analytical methods of solving of 1st order ODEs (continuation).
8. Higher order linear homogeneous ODEs.
9. Higher order non-homogeneous linear ODEs.
10. Systems of 1st order linear homogeneous ODEs.
11. Systems of 1st order linear non-homogeneous ODEs.
12. Systems of 1st order linear ODEs – continuation.
13. Laplace transform method and series method of solving of ODEs.
Computer-assisted exercise
13 hours, compulsory
Teacher / Lecturer
Syllabus
The course is realized in computer labs with utilizing a suitable software (e.g. Matlab). This part of the course is focused mainly on demonstration of the use of the software in numerical methods in differential equations and related topics.