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The course develops and strengthens the concepts and skills of elementary mathematics (the course of mathematics MA), particularly the skills related to various disciplines of the curriculum of the master's study.
Last update: MAXOVAJ (21.09.2020)
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Students will be able to: 1. use basic mathematical notions 2. know and understand basic mathematical methods 3. solve problems individually 4. gain basic knowledge of the mathematical concepts used to describe the science and engineering problems 5. get acquainted with the computational algorithms (differential equations)
Last update: Kubová Petra (06.03.2019)
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It is necessary to actively participate in seminars and pass two announced assessment test during semester. More details will be given on the first lecture. Credit granted is a necessary condition for passing the exam. The exam is combined - written and oral. Last update: Axmann Šimon (22.07.2022)
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A: Porubský: Fundamental Mathematics for Engineers,Vol.I, Vol.I, VŠCHT, 2001, ISBN: 80-7080-418-1 Last update: Kubová Petra (06.03.2019)
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Přednášky a cvičení Last update: Kubová Petra (06.03.2019)
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It is necessary to actively participate in seminars and pass two announced assessment test during semester. More details will be given on the first lecture. Credit granted is a necessary condition for passing the exam. The exam is combined - written and oral. Last update: Axmann Šimon (22.07.2022)
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1. Vectors and matrices, matrix arithmetic, dot product. Linear independence of vectors and rank of a matrix.
2. Systems of linear algebraic equations. Determinant of a matrix, cross product.
3. Inverse matrices. Eigenvalues of a matrix. Geometry in the plane and three-dimensional space.
4. Euclidean space, metric, norm, properties of subsets of the Eucidean space.
5. Functions of several variables. Partial derivatives, partial derivatives of compositions of functions. Directional derivatives, gradient of a function. Total differential, tangent plane.
6. Taylor polynomial of functions of two variables. Newton’s method for a system of two non-linear equations of two variables.
7. Extrema of functions of two variables. Least square method.
8. Implicitly defined functions of a single and several variables, derivatives of implicitly defined functions.
9. Parametric curves, tangent vector to a curve, smooth curve, orientation and a sum of curves.
10. Vector field in the plane and space. Curvilinear integral of a vector field and its physical meaning.
11. Path independence of the curvilinear integral of a vector field. Scalar potential of a vector field. Differential forms and their integrals.
12. Double integral and its geometrical meaning. Fubini theorem. Substitution for double integral. Polar coordinates.
13. Laplace integral. Revision and discussion.
14. Systems of two first order differential equations. Solving autonomous systems of differential equations with constant coefficients. Predator-prey model. Last update: MAXOVAJ (18.02.2020)
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http://www.vscht.cz/mat/El_pom/sbirka/sbirka2.html http://www.vscht.cz/mat/El_pom/Mat_MATH_MAPLE.html Last update: Kubová Petra (06.03.2019)
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Mathematics A Last update: Borská Lucie (03.05.2019)
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Teaching methods | ||||
Activity | Credits | Hours | ||
Konzultace s vyučujícími | 0.5 | 14 | ||
Účast na přednáškách | 1.5 | 42 | ||
Příprava na přednášky, semináře, laboratoře, exkurzi nebo praxi | 1.5 | 42 | ||
Příprava na zkoušku a její absolvování | 2 | 56 | ||
Účast na seminářích | 1.5 | 42 | ||
7 / 7 | 196 / 196 |