151-0300/04 – Mathematics A (Mat A)

Gurantor departmentDepartment of Mathematical Methods in EconomicsCredits5
Subject guarantorprof. RNDr. Dana Šalounová, Ph.D.Subject version guarantorRNDr. Pavel Rucki, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Year1Semesterwinter
Study languageCzech
Year of introduction2018/2019Year of cancellation
Intended for the facultiesEKFIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
ARE30 Ing. Orlando Arencibia Montero, Ph.D.
CTV0004 RNDr. Eva Čtveráčková
GEN02 Mgr. Marian Genčev, Ph.D.
HAN0001 Mgr. Vít Hanák
HRD0001 Mgr. Zdeněk Hrdina
HRU61 RNDr. Jana Hrubá, Ph.D.
KOZ214 Ing. Mgr. Petr Kozel, Ph.D.
LOR21 Mgr. Kristina Lorencová
MIH22 RNDr. Šárka Michalcová, Ph.D.
OND10 Mgr. Ivana Onderková, Ph.D.
SOB33 RNDr. Simona Pulcerová, Ph.D., MBA
REZ0011 RNDr. Lenka Řezníčková
RUC05 RNDr. Pavel Rucki, Ph.D.
S1A20 prof. RNDr. Dana Šalounová, Ph.D.
ZAH0001 Marek Zahradníček
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Graded credit 2+2

Subject aims expressed by acquired skills and competences

Knowledge • Define the function of one variable. • Find the domain and range and basic properties. • Draw graphs of elementary functions. • Compute limits and derivates of functions. • Find the properties of no elementary functions a draw theirs graphs. • Obtain easier imagine about economic functions. • Order knowledge about vectors in the plain. • Identify the types of matrices. • Solve the system of linear equations. Comprehension • Express economic dependences using a mathematical function. • Explain the slope of a function. • Restate the terms “concavity” and “convexity” into the “degressive” and “progressive”. • Generalise the functions on the dependences in the real live. • Express knowledge of vectors to the space. Applications • Relate economic and mathematical functions. • Discover the tools suitable for describing of dependences in economics and other sciences. • Develop the technique of graphs drawing. • Apply knowledge of linear algebra in economics, e.g. traffic problems, structural analysis. • Solve basic problems of linear programming.

Teaching methods

Lectures
Individual consultations
Tutorials
Other activities

Summary

Taught in Czech. The subject continues fulfilling general methodical and professional goals of Mathematics, i.e. to train the rational thinking and the ability to conceive and work with quantitative information concerning the real world. This is being done especially by mathematization of the practical as well as theoretical economic problems. This subject supplies the students’ education with realms of higher Mathematics which is applicable namely to the creation and investigation of economic models.

Compulsory literature:

[1] SYDSAETER, K., HAMMOND, P. J. Mathematics for Economics Analysis. Pearson, 2002, ISBN 978-81-7758104-1. [2] HOY, M., LIVERNOIS, J., MCKENNA, Ch., REES, R., STENGOS, T. Mathematics for Economics. The MIT Press, London, 3rd edition, 2011, ISBN 978-0-262-01507-3. [3] TAN, T.S. Single variable calculus: early transcendentals. Brooks/Cole Cengage Learning, Belmont, 2011, ISBN 978-1-4390-4600-5.

Recommended literature:

[1] LARSON, R. Elementary Linear Algebra. Brooks/Cole Cengage Learning, Belmont, 8th edition, 2016, ISBN 978-1305658004. [2] LUDERER, B., NOLLAU, V., VETTERS, K. Mathematical Formulas for Economists. Springer Verlag, 3rd edition, 2006, ISBN 978-3540469018.

Way of continuous check of knowledge in the course of semester

Credit requirements: ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1. Passing the credit test (succes rate - at least 50%) 2. Fulfiling of all task assigned by a teacher 3. Active participation at seminars - at most one absence without leave 4. Familiarity with lecture topics and ability to solve assigned problems The deadline is February 10th, 2019. Credit requirements in case of individual study: ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ It is possible to replace active participation at seminars (req. 3) with written tasks assigned by a teacher. Other requirements remain valid.

E-learning

Další požadavky na studenta

Credit requirements: ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1. Passing the credit test (succes rate - at least 50%) 2. Fulfiling of all tasks assigned by a teacher 3. Active participation at seminars - at most one absence without leave 4. Familiarity with lecture topics and ability to solve assigned problems The deadline is February 10th, 2019. Credit requirements in case of individual study: ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ It is possible to replace active participation at seminars (req. 3) with written tasks assigned by a teacher. Other requirements remain valid.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Real sequences - definition, properties, arithmetic sequence, geometric sequence, limit of a sequence. 2. Functions of one real variable – definition, domain and range, classification, graphs, even and odd functions, monotonic functions (strictly increasing, strictly decreasing), inverse functions, composition of functions. 3. The limits of functions – properties of limits, limits to infinity, one sided limits, definition of continuity, continuity on an interval. 4. An introduction to the derivate – slope of a tangent line at a point, derivative, equation of a tangent line and normal line to a curve at a point, techniques of differentiation, higher order derivations, l´Hospital´s rule. 5. Linear algebra – matrices, addition and multiplication of matrices, rank of a matrix, determinant, the inverse of the matrix, matrix equations.

Conditions for subject completion

Full-time form (validity from: 2018/2019 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Graded credit Graded credit 100 (100) 51
        Zápočtová písemka Written test 100  51
Mandatory attendence parzicipation: Na cvičeních je povolena max. 1 absence bez omluvy.

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2019/2020 (B6209) Systems Engineering and Informatics P Czech Ostrava 1 Compulsory study plan
2019/2020 (B0414A050001) Marketing (S02) Marketing and business P Czech Ostrava 1 Compulsory study plan
2019/2020 (B0414A050001) Marketing (S01) Marketing Communication P Czech Ostrava 1 Compulsory study plan
2019/2020 (B0311A050004) Applied Economics (S01) International Economic Relations P Czech Ostrava 1 Compulsory study plan
2019/2020 (B0413A050012) Economics and Management (S05) Sports management P Czech Ostrava 1 Compulsory study plan
2019/2020 (B0413A050012) Economics and Management (S04) Economics and Law in Business P Czech Ostrava 1 Compulsory study plan
2019/2020 (B0413A050012) Economics and Management (S03) Management P Czech Ostrava 1 Compulsory study plan
2019/2020 (B0312A050001) Public Economics and Administration P Czech Ostrava 1 Compulsory study plan
2019/2020 (B0413A050012) Economics and Management (S02) Business Administration P Czech Ostrava 1 Compulsory study plan
2019/2020 (B0413A050012) Economics and Management (S02) Business Administration P Czech Valašské Meziříčí 1 Compulsory study plan
2019/2020 (B0311A050004) Applied Economics (S02) Economic Development P Czech Ostrava 1 Compulsory study plan
2019/2020 (B0412A050005) Finance P Czech Ostrava 1 Compulsory study plan
2019/2020 (B0411A050001) Accounting and Taxes P Czech Ostrava 1 Compulsory study plan
2019/2020 (B6202) Economic Policy and Administration P Czech Ostrava 1 Compulsory study plan
2019/2020 (B6208) Economics and Management P Czech Ostrava 1 Compulsory study plan
2019/2020 (B6208) Economics and Management P Czech Valašské Meziříčí 1 Compulsory study plan
2018/2019 (B6202) Economic Policy and Administration P Czech Ostrava 1 Compulsory study plan
2018/2019 (B6208) Economics and Management P Czech Ostrava 1 Compulsory study plan
2018/2019 (B6208) Economics and Management P Czech Valašské Meziříčí 1 Compulsory study plan
2018/2019 (B6209) Systems Engineering and Informatics P Czech Ostrava 1 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner