SubjectsSubjects(version: 965)
Course, academic year 2019/2020
  
Mathematics A - AB413001
Title: Mathematics A
Guaranteed by: Department of Mathematics (413)
Faculty: Faculty of Chemical Engineering
Actual: from 2019 to 2019
Semester: winter
Points: winter s.:8
E-Credits: winter s.:8
Examination process: winter s.:
Hours per week, examination: winter s.:3/4, C+Ex [HT]
Capacity: unknown / unknown (unknown)
Min. number of students: unlimited
State of the course: taught
Language: English
Teaching methods: full-time
Level:  
Additional information: https://um.vscht.cz/studium/predmetyen
Old code: M1
Note: enabled for web enrollment
Guarantor: Maxová Jana RNDr. Ph.D.
Axmann Šimon Mgr. Ph.D.
Class: Předměty pro matematiku
Classification: Mathematics > Mathematics General
Interchangeability : B413001, N413002, N413022, S413022
Is interchangeable with: B413001
Examination dates   Schedule   
This subject contains the following additional online materials
Annotation -
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)
Course completion requirements -

It is necessary to actively participate in seminars and to work out homework. Attendance at seminars is compulsory. 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)
Literature -

Obligatory:

  • Problems and exercises in Mathematics A
  • Porubský, Štefan. Fundamental mathematics for engineers.. Praha: Vysoká škola chemicko-technologická, 2001, https://vufind.techlib.cz/Record/000005860 s. ISBN 80-7080-418-1.

Last update: prepocet_literatura.php (19.12.2024)
Teaching methods -

Lectures and seminars

Last update: Kubová Petra (06.03.2019)
Requirements to the exam -

It is necessary to actively participate in seminars and to work out homework. Attendance at seminars is compulsory. 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)
Syllabus -

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)
Learning resources -

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)
Learning outcomes -

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)
Registration requirements -

No requirements.

Last update: Borská Lucie (09.05.2019)
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
Coursework assessment
Form Significance
Examination test 40
Continuous assessment of study performance and course -credit tests 20
Oral examination 40

 
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