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Basic course in Calculus for students in bachelor program. It provides mathematical skills necessary for other subjects (physics, physical chemistry,...) in bachelor program. Success in Mathematics A is a prerequisite for Mathematics B.
Last update: MAXOVAJ (21.09.2020)
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General skills: 1. elementary mathematical notions 2. knowledge and understanding of basic algorithms 3. individual problem solving 4. basic mathematical background for formulation and solving of natural and engineering problems 5. numerical algorithms (algebraic equations, integration). Last update: MAXOVAJ (21.09.2020)
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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. Another condition for granting the credit is the completion of the entrance test. 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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Obligatory:
Last update: Axmann Šimon (13.06.2024)
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Lectures and seminars 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. Another condition for granting the credit is the completion of the entrance test. 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. Real and complex numbers. Functions of a single real variable. Domain and range. Graphs of elementary functions. Basic properties. Composition of functions.
2. Inverse functions. Exponential and logarithmic functions. Trigonometric and inverse trigonometric functions.
3. Continuity of a function. Properties of continuous functions. Limits of sequences and functions.
4. Derivatives. Geometrical and physical meaning of derivatives. Rules for computing derivatives. Differential of a function.
5. Physical and geometrical applications of derivatives. L’Hospital’s rule. Approximation of a function value using Taylor polynomial. Analysis and graphing of a function.
6. Numerical solution of an equation of a single uknown variable - Newton’s method.
7. Antiderivatives and their properties. Newton definite integral, its properties and geometrical meaning.
8. Methods for computing indefinite and definite integrals – integration by parts and substitution method.
9. Integration of rational functions. Improper integrals. Numerical integration – trapezoidal method.
10. Definition of definite integral in physics – Riemann integral. Selected geometrical and physical applications of the integral.
11. Differential equations. Terminology, general and particular solution. Separation of variables.
12. First order linear differential equations. Variation of constants. Numerical solution of a first order differential equations – Euler’s method.
13. First and second order linear differential equations with constant coefficients and a special right-hand. Method of undetermined coefficients.
14. Application of differential equations in Physics, Chemistry, and Biochemistry. Revision and discussion. Last update: Axmann Šimon (13.06.2024)
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http://www.vscht.cz/mat/El_pom/sbirka/sbirka1.html http://www.vscht.cz/mat/El_pom/Mat_MATH_MAPLE.html http://www.vscht.cz/mat/MI/Aplikacni_priklady.pdf Last update: Kubová Petra (06.03.2019)
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No requirements. Last update: Borská Lucie (09.05.2019)
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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 | 2 | 56 | ||
Příprava na zkoušku a její absolvování | 2 | 56 | ||
Účast na seminářích | 2 | 56 | ||
8 / 8 | 224 / 224 |