Course detail

Mathematics II

FCH-BCT_MAT2Acad. year: 2014/2015

1. Complex numbers
The expression of a complex number - the algebraic, goniometric and exponential form - algebraic operations including the n-th roots, binomial equations.
2. Ordinary differential equations
The simpliest kinds of the first-order differential equations - separable and linear equations. Higher-order linear differential equation with constant coefficients both of homogenous and non-homogenous, with special and general right-side.
3. Differential calculus of functions of n variables
Domains, graphs and contour lines of functions, composed functions, limits, continous functions, partial derivatiive and total differential. Implicitely given function and the geometrical background.
4. Integral calculus of more variables
Double and triple integrals and their applications. elementary transformations of double and triple integrals.
5. Basic information on curves and surfaces. The oriented and non-oriented curve integral and their physical meaning and applications. The independency of the curve integral on the integration path.

Language of instruction

Czech

Number of ECTS credits

6

Mode of study

Not applicable.

Learning outcomes of the course unit

The knowledge and skills obtained during the course will appear on the following fields
1. Passing the course, students will master computing with complex numbers and all forms of their expression including the Euler formulas. They will learn the computation of n-th roots and solving binomial equations.
2. Students manage the classification and solution of the simpliest kinds of first-order differential equations and the n-th order linear differential equations with constant coefficients. They will master its solution by the method of the variation of constants and by the method of improper coefficients. Further, they will be aquainted with
3. Passing the course, students are able follow and apply the methods of differential calculus of n variables. In more details, they learn to find, describe and express domains, graphs, contour lines of functions. They master the concepts of a limit, partial and direction derivative and total differential with their properties. They will be able to find local and global extremes and work with implicitely given functions.
4. Passing the course, students will manage double and triple integrals and their applications.
5. Students will be acquainted with the elements of the field theory, Hamilton operator and fundamental physical fields. They will manage the computation of a potential of a vector field in case it exists.
6. Finishing the course, students will understand the concepts of the curve and surface integral in both of the scalar and vector field in context with the physical meaning. They will be able to decide about the independency of the oriented curve integral on the choice of the oriented integration path and in the positive case compute the integral by means of a potential.
They will be endowed by the knowledge of integral theorems with their physical meaning and applications. They will master the computation of various integrals by the technique of integral theorems.
7. Passing the course, students are expected to solve simple tasks of the physical character appearing in the advanced courses and engineering disciplines. Managing both of the mathematical courses during bachelor studies should enable reading and comprehension the mathematical symbolics used in the literature extending the knowlege in the studied branch.

Prerequisites

Differential and integral calculus of functions of one variable, elements of the linear algebra and analytical geometry.
The necessary condition for obtaining credit is having the credit from Mathematics 1 and the examination can be passed only if the examination from Mathematics 1 has been succesfuly passed.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

The course uses teaching methods in form of Lecture - 2 teaching hours per week, seminars - 2 teaching hours per week. The e-learning system (LMS Moodle) is available to teachers and students.

Assesment methods and criteria linked to learning outcomes

Obtaining a credit is conditioned by a regular and active participation on practices and the credit it is a necessary condition for sitting for an examination. Obtaining credit is conditioned by a successfull passing three tests during the semester and working out the semestral work.The participation on lectures is not obliged. The examination consists of a test ond an oral part. The results from practices are included to the total marking of the subject.

Course curriculum

1. Complex numbers - the algebraic, trigonometric and exponential form, binomial equations. Elementary concepts from the theory of ordinary differential equations. MATLAB commands for the work with complex numbers.
2. First-order differential equations, the existence and uniqueness theorem, solution of their simpliest kinds -the separable and homogenous equations.
3. Higher-order linear differential equations with constant coefficients - the method of indefinite coefficients.
4. Higher-order linear differential equations with constant coefficients - the method of the variation of constants .
5. Introductory to the differential calculus of functions of n variables - domains, graphs, contour lines, the concepts of a limit, continuity, partial derivative, total differential, the equation of the tangent hyperplane to the graph. MATLAB graphical commands commands for drawing graphs of functions of two variables and surfaces in general.
6. The concept of total differential, equation of tangent hyperplane to the graph. Local and global extremes of the functions of two variables.
7. The Taylor polynomial, implicitely given functions, the geometrical interpretation.
8. Derivatives of implicitely given functions. Searching local and global for extremes of implicitely given functions.
9. Double and integral - its definition and computation by means of Fubini theorem. Applications. MATLAB commands for the computation of the value of a double integral.
10. The transformation theorem for a double integral. Giving a curve and a surface. MATLAB cgraphical commands for drawing curves and surfaces.
elementary transformations of double and triple integrals. Introductory to the thery of fields, Hamilton operator.
11. The triple integral, its computation bz means of the Fubini theorem, application, elementary transformation of triple integrals.
12. The non-oriented curve integral, applications, the orientation of a curve, the oriented curve integral., applications.
13. Information of the most elementary concepts from the field theory, the independence of the oriented curve integral on the integration path.

Work placements

Not applicable.

Aims

The aim of the course is obtaining the theoretical background necessary for studies of physics, particularly elementary kinds of differential equations, elements of the theory of fields, Hamilton operator and integral theorems.

Specification of controlled education, way of implementation and compensation for absences

Necessary conditions for obtaining a credit are the regular participation on practies and reaching at least 50% of marks from tests checking computation skills and the ability of their application to simple problems formulated in words. Moreover, there is a semestral work consisting of 20 computative examples. If a student fails at a test, he has a possibility of its correction.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Škrášek J., Tichý Z: Základy aplikované matematiky III. SNTL Praha. (CS)
Škrášek J., Tichý Z.: Matematika 1,2. SNTL Praha. (CS)
Polcerová, M.: Matematika II v chemii a v praxi, skripta. FCH VUT v Brně, Brno. (CS)
Veselý P.: Matematika pro bakaláře. VŠCHT Praha. (CS)
Rektorys K.: Přehled užité matematiky I, II. Prometheus Praha. (CS)
Polcerová M., Polcer J.: Sbírka příkladů z matematiky II. FCH VUT v Brně, Brno. (CS)

Recommended reading

Eliáš J., Horváth J., Kajan J., Šulka R.: Zbierka úloh z vyššej matematiky. ALFA Bratislava. (CS)
Ivan, J.: Matematika 2. Alfa Bratislava. (CS)
Kosmák, L., Potůček, R., Metrické prostory, Academia 2004, ISBN 80-200-1202-8 (CS)
Bubeník F.: Mathematics for Engineers. ČVUT Praha. (CS)
Smith, R., Minton, R.B.: Calculus - Early Trancscendental Functions. MacGraw Hill, New York. (CS)
Mortimer, R.: Mathematics for Physical Chemistry. Academic Press, Memphis. (CS)

Classification of course in study plans

  • Programme BKCP_CHCHT Bachelor's

    branch BKCO_SCH , 1. year of study, summer semester, compulsory

  • Programme BPCP_CHCHT Bachelor's

    branch BPCO_SCH , 1. year of study, summer semester, compulsory
    branch BPCO_CHTOZP , 1. year of study, summer semester, compulsory

  • Programme BKCP_CHCHT Bachelor's

    branch BKCO_CHTOZP , 1. year of study, summer semester, compulsory

  • Programme BPCP_CHCHT Bachelor's

    branch BPCO_CHMN , 1. year of study, summer semester, compulsory

  • Programme BKCP_CHCHT Bachelor's

    branch BKCO_CHM , 1. year of study, summer semester, compulsory

  • Programme BPCP_CHCHT Bachelor's

    branch BPCO_CHM , 1. year of study, summer semester, compulsory

  • Programme BPCP_CHTP Bachelor's

    branch BPCO_BT , 1. year of study, summer semester, compulsory

  • Programme BKCP_CHTP Bachelor's

    branch BKCO_BT , 1. year of study, summer semester, compulsory
    branch BKCO_PCH , 1. year of study, summer semester, compulsory

  • Programme BPCP_CHTP Bachelor's

    branch BPCO_CHP , 1. year of study, summer semester, compulsory

  • Programme CKCP_CZV lifelong learning

    branch CKCO_CZV , 1. year of study, summer semester, compulsory

Type of course unit

 

Lecture

26 hours, optionally

Teacher / Lecturer