* Exchange students do not have to consider this information when selecting suitable courses for an exchange stay.

Course Unit Code | 151-0301/04 | |||||
---|---|---|---|---|---|---|

Number of ECTS Credits Allocated | 5 ECTS credits | |||||

Type of Course Unit * | Compulsory | |||||

Level of Course Unit * | First Cycle | |||||

Year of Study * | First Year | |||||

Semester when the Course Unit is delivered | Summer Semester | |||||

Mode of Delivery | Face-to-face | |||||

Language of Instruction | Czech, English, German, Spanish | |||||

Prerequisites and Co-Requisites | ||||||

Prerequisities | Course Unit Code | Course Unit Title | ||||

151-0300 | Mathematics A | |||||

Name of Lecturer(s) | Personal ID | Name | ||||

ARE30 | Ing. Orlando Arencibia Montero, Ph.D. | |||||

S1A20 | prof. RNDr. Dana Šalounová, Ph.D. | |||||

FUN01 | Mgr. Taťána Funioková, Ph.D. | |||||

RUC05 | RNDr. Pavel Rucki, Ph.D. | |||||

KOZ214 | Ing. Mgr. Petr Kozel, Ph.D. | |||||

ZAH0001 | Marek Zahradníček | |||||

GEN02 | Mgr. Marian Genčev, Ph.D. | |||||

Summary | ||||||

The aim of the subject is to get acquainted with the basic knowledge of advanced mathematics, which is necessary for further studies of quantitative methods in economics. The subject’s structure and nature themselves have their importance as they help to develop logical thinking as well as the ability to enunciate thoughts accurately and to give clear argumentation when solving various practical problems. | ||||||

Learning Outcomes of the Course Unit | ||||||

Knowledge, comprehension
The student will be able... - to solve the systems of linear equations (including simple parameterized coefficients), to control basic terminology and related applications - to explain the concept of the primitive function and indefinite integral, to control the basic rules, formulas and techniques of integration - to define the definite integral, to compute the definite integral with the help of Newton-Leibniz formula, to outline the proof of Newton-Leibniz formula, to control the related basic geometric and economic applications - to define real functions of two real variables, to find the domain of functions of two variables and its visualization, to give the overview of basic functions of two variables used in economics (mainly constant, linear and Cobb-Douglass function), to explain the concept of homogenous functions of order 's', to present geometrical point of view and to give the connections to economics - to define and to compute the partial derivatives with the help of their definitions and with the help of rules and formulas, to apply the partial derivatives for determining of local extremes (Hessian matrix), to define and interpret local extrema in a correct way, to discuss local extrema by means of their definition (inequality-type conditions, i.e., without the Hessian matrix), to find constrained extremes (method of substitution, Lagrange's multiplier) - to distinguish and to solve the basic types of differential and difference equations of 1st and 2nd order, to state the basic application possibilities in economics - to control the principles of difference calculus in connection with the monotonicity and dynamics of real sequences, to explain the connection between summation and difference, to find closed form of basic sums by means of 1st order difference equations | ||||||

Course Contents | ||||||

(1) Linear algebra
Systems of linear equations - introduction and definitions, solvability, methods of solving, Frobenius theorem, system consistence in case of parameterized coefficients. Analytical geometry in 2- and 3-dimensional Euclidean space - basic concepts, mutual position of plains and/or lines in 2- and 3-dimensional space, the distance between points, lines and planes. Appliacations of systems of linear equations in economics. (2) Indefinite integral - introduction Indefinite integral of functions of one variable - basic definitions and rules, per-partes technique, substitution, integration of rational functions. Definite integral - basic definitions and properties, Newton-Leibniz formula, principle of its proof, geometric and economic applications. Generalized and improper integral - definitions and basic properties. (3) Functions of two real variables Basic definitions, domain determination and its graphic representation, homogenous functions of order 's'. Partial functions, partial derivatives, tangent plane and normal line to a surface, partial and total differential. Local extremes (un-/constrained), method of substitution and Lagrange's function. Applications in economics. (4) Ordinary differential equations Ordinary differential equations (ODE), order of ODE, general, particular and singular solution, basic types of ODE of the 1st and 2nd order (separable, linear), the method of undetermined coefficients. Applications in economics. (5) Differential calculus Introduction to the calculus of differences - difference of order 'k', the signum of the difference as an indicator of sequence monotonicity. Difference equations - its order and solution, linear difference equations solved by undetermined coefficients. Summation and its connection to difference calculus, closed form of finite sums solved by means of 1st order difference equations. Applications in economics. (6) Final considerations | ||||||

Recommended or Required Reading | ||||||

Required Reading: | ||||||

[1] Larson R., Falvo C.D. Elementary Linear Algebra. Houghton Mifflin, Boston, New York, 2008.
[2] Tan T.S. Calculus: Multivariable Calculus. Brooks/Cole Cengage Learning, Belmont, 2010. [3] Hoy M., Livernois J., McKenna Ch., Rees R., Stengos T. Mathematics for Economics. The MIT Press, London, 2011. | ||||||

[1] Genčev M., Rucki P. Cvičebnice z matematiky nejen pro ekonomy. SOT, Ostrava, 2017.
[2] Genčev M., Hrubá J., Pulcerová S., Rucki P. Matematika A. SOT, Ostrava, 2013. [3] Genčev M., Hrubá J., Pulcerová S., Rucki P. Matematika B. SOT, Ostrava, 2013. [4] Genčev M. Cvičebnice ke kurzu Matematika B. SOT, Ostrava, 2013. | ||||||

Recommended Reading: | ||||||

[1] Stewart J.S. Calculus - Concepts and Contexts. Cengage Learning, 2010.
[2] Canuto C., Tabacco A. Mathematical Analysis I. Springer Verlag, 2008. [3] Luderer B., Nollau V., Vetters K. Mathematical Formulas for Economists. Springer Verlag, 3rd ed., 2007. | ||||||

[1] Šalounová D., Poloučková A. Úvod do lineární algebry. VŠB-TU, Ostrava, 2002.
[2] Genčev M. Cvičebnice ke kurzu Matematika A. SOT, Ostrava, 2013. [3] Moučka J., Rádl P. Matematika pro studenty ekonomie. Grada, Praha, 2010. | ||||||

Planned learning activities and teaching methods | ||||||

Lectures, Individual consultations, Tutorials, Other activities | ||||||

Assesment methods and criteria | ||||||

Task Title | Task Type | Maximum Number of Points (Act. for Subtasks) | Minimum Number of Points for Task Passing | |||

Credit and Examination | Credit and Examination | 100 (100) | 51 | |||

Credit | Credit | 40 (40) | 20 | |||

Písemka | Written test | 40 | 20 | |||

Examination | Examination | 60 (60) | 31 | |||

Písemná zkouška | Written examination | 42 | 22 | |||

Ústní zkouška | Oral examination | 18 | 9 |