Course detail

Mathematics 1

FEKT-BPA-MA1Acad. year: 2025/2026

Basic mathematical notions. Function, inverse function, sequences. Linear algebra and geometry. Vector spaces, basic notions,linear combination of vectors, linear dependence, independence vectors, base, dimension of a vector space. Matrices and determinants. Systems of linear equations and their solution. Differential calculus of one variable, limit, continuity, derivative of a function. Derivatives of higher orders, l´Hospital rule, behavior of a function. Integral calculus of fuctions of one variable, antiderivatives, indefinite integral. Methods of a direct integration. Integration by parts, substitution methods, integration of some elementary functions. Definite integral and its applications. Improper integral. Infinite number series, convergence criteria. Power series, Taylor theorem, Taylor series.

Language of instruction

English

Number of ECTS credits

7

Mode of study

Not applicable.

Guarantor

doc. RNDr. Michal Novák, Ph.D.

Department

Department of Mathematics (UMAT)

Offered to foreign students

Of all faculties

Entry knowledge

Students should be able to work with expressions and elementary functions within the scope of standard secondary school requirements; in particular, they shoud be able to transform and simplify expressions, solve basic equations and inequalities, and find the domain and the range of a function.

Rules for evaluation and completion of the course

Maximum 20 points per semester for two written tests. In order to get the credit, at least 8 points out of 20 must be obtained.

The condition for passing the exam is to obtain at least 50 points out of a total of 100 possible (20 can be obtained for work in the semester, 80 can be obtained at the final written exam).

Absence in practical classes must be apologized.

 

Aims

The main goal of the calculus course is to explain the basic principles and methods of higher mathematics that are necessary for the study of electrical engineering. The practical aspects of application of these methods and their use in solving concrete problems (including the application of contemporary mathematical software) are emphasized.
After completing the course, students should be able to:

- decide whether vectors are linearly independent and whether they form a basis of a vector space;
- add and multiply matrices, compute the determinant of a square matrix to the 4x4 type, compute the rank and the inverse of a matrix;
- solve a system of linear equations;
- estimate the domains and sketch the grafs of elementary functions;
- compute limits and asymptots for the functions of one variable, use the L’Hospital rule to evaluate limits;
- differentiate and find the tangent to the graph of a function, find the Taylor ploynomial of a function near a given point;
- sketch the graph of a function including extrema, points of inflection and asymptotes;
- integrate using technics of integration, such as substitution, partial fractions and integration by parts;
- evaluate a definite integral including integration by parts and by a substitution for the definite integral;
- compute the area of a region using the definite integral, evaluate the inmproper integral;
- discuss the convergence of the number series, find the
set of the convergence for the power series.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Krupková, V., Fuchs, P., Mathematics 1, 2014, page 1-324 (EN)

Recommended reading

Edwards, C.H., Penney, D.E., Calculus with Analytic Geometry, Prentice Hall, 1993. (EN)
Fong, Y., Wang, Y., Calculus, Springer, 2000. (EN)

Classification of course in study plans

  • Programme BPA-ELE Bachelor's

    specialization BPA-ECT , 1 year of study, winter semester, compulsory
    specialization BPA-PSA , 1 year of study, winter semester, compulsory

Type of course unit

 

Lecture

52 hod., optionally

Teacher / Lecturer

doc. RNDr. Michal Novák, Ph.D.

Syllabus

1. Basic mathematical notions, function, sequence.
2. Vector - combination, dependence and independence of vectors, base and dimension of a vector space.
3. Matrices and determinants.
4. Systems of linear equations and their solution.
5. Differential calculus of one variable. Limit, continuity, derivative of a function.
6. Derivatives of higher order, Taylor theorem.
7. L'Hospital rule, behaviour of a function.
8. Integral calculus of functions of one variable, primitive function, indefinite integral. Methods of direct integration.
9. Per partes method and substitution method. Integration of some elementary functions.
10. Definite integral and its applications.
11. Improper integral.
12. Infinite number series, convergence criteria.
13. Power series, Taylor theorem, Taylor series.

Exercise in computer lab

22 hod., compulsory

Teacher / Lecturer

doc. RNDr. Michal Novák, Ph.D.

Syllabus

1. Graphs of elementary functions, inverse functions, .
2. Matrices, determinants.
3. Solving a system of linear equations.
4. Derivative of a function of one variable.
5. Behaviour of a function.
6. Calculation of indefinite and definite integrals.
7. Series.

Project

4 hod., compulsory

Teacher / Lecturer

doc. RNDr. Michal Novák, Ph.D.

Syllabus

The subject will be thought in the form of individual projects.