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Title of the offer

Signature

110491-0803

Lecturer

PhD Rafał Łochowski

8.0 points ECTS

Course type Obligatory course

Contact hours Stationary

Sat. - Sun.

Total:

75

40

Lecture Classes

30 45

16 24

Syllabus The course "Mathematics" is given in the first semester of undergraduate studies and comprises of lectures and recitations. Students are assumed to possess mathematical background at the level required at the Polish Matura Mathematics Examination at Extended Level. The curriculum of "Mathematics" covers univariate function theory, basics of differential and integral calculus as well as selected topics in linear algebra and bivariate functions.

The purpose of the course The course provides fundamental mathematical knowledge and skills necessary to study modern economics, statistics and econometrics and other subjects requiring rigorous economical approach based on optimizing decision process.

Selection criteria Application order

Final grade Traditional (written form) exam THERE ARE TWO TERMS OF THE EXAM IF YOU FAIL THE FIRST ONE, YOU ARE STILL ELIGIBLE TO TAKE THE SECOND ONE

100% (=30 points) + max. 13% (= 4 points) of additional points obtained from colloquia

16 – 18 points dst (satisfactory) 19 – 21 points dst+

22 – 24 points db (good) 25 – 27 points db+ 28 – 30 points bdb (very good) 100% (= 30 points) (need to pass to be allowed to take the exam) Two colloquia, each for 30 points, then divided by two.

16 – 18 points dst (satisfactory) 19 – 21 points dst+ 22 – 24 points db (good) 25 – 27 points db+ 28 – 30 points bdb (very good)

classes

Basic textbooks Stewart James: Calculus Early Transcendentals, 2011, Brooks/Cole, Belmont CA,USA; Howard Anton, Chris Rorres: Elementary Linear Algebra with Suplemental Applications, 2010, Clarence Center Inc, Denver MA.

Additional textbooks Stanley J. Farlow, Gary M. Haggard: Applied mathematics, 1988, Random House New York USA.

Publications of the lecturer related to the content of the course 1) R. Łochowski, On a generalisation of the Hahn-Jordan decomposition for real cadlag functions, Colloq. Math. 132(1): 121-138, 2013; 2) R. M. Łochowski i R. Ghomrasni. The play operator, the truncated variation and the generalisation of the Jordan decomposition. Math. Methods Appl, Sci., 38(3): 403-419, 2015; 3) R. M. Łochowski. On pathwise stochastic integration with respect to semimartingales. Probab. Math. statist. 34(1):23-43, 2014.

Course plan 1 Sequences. Arithmetic and geometric sequences. Partial sum of arithmetic and geometric series. 2 Sequence limits. Factorials. The number e. 3 Limit of a function. Computing simple limits. Continuity and points of discontinuity. Vertical and horizontal asymptotes. 4 First order derivative. Geometrical interpretation. Tangent line and its equation. Main formulas of differential calculus. 5 Monotonicity and extrema of a differentiable function. Computing local and global extrema. 6 Second order derivatives. Computing derivatives. Convexity and a second derivative. The rate of change. Elasticity.

Colloquium (Test) (November 23rd or November 30th ) 7 Indefinite integral, basic integral calculus formulas.

8 Definite integral and area. 9 Vectors and linear combinations of vectors. Linear dependence and independence of vectors. Equations of line and plane. 10 Matrices. Matrix size, special matrices. Matrix algebra. 11 Inverse matrices, matrix equations. Determinants. Recursive Laplace definition. Properties of determinants. Cofactors and inverse matrices. Cramer's rule. 12 Linear system. Row elementary operations - equivalent matrices. Solving linear system by elementary operations. General solutions. Basis solutions.

Colloquium (Test) (probable date - January 11th 2017) 13 Functions of two variables. Domains and level curves. First order partial derivatives. 14 Second order partial derivatives. Local extrema.

Exam

Course outcomes Knowledge:

To see real life (for example in engineering and economics) applications of derivatives, integrals and systems of linear equations.

Skills:

To use derivatives, integrals and systems of linear equations in simple applied problems.

Competences:

Discovery of relations among physical or economic variables.

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