Sets, propositional calculus, basic elementary functions and their graphs.
Real function of one real variable. Basic definitions: domain and range, operations with functions, composite function, inverse function.
Limit at a point, continuity of a function at a point. Basic properties of limits.
Derivative. Physical meaning of the first derivative (velocity), geometrical meaning (slope, tangent line, normal to a graph).
Mean value theorems (Rolle, Lagrange, Cauchy). The l'Hospital rule. Asymptots to a graph.
Monotony of a function, local extreme values. Concave and convex functions, inflection points of the graph.
Sketching the graph of a function, global extreme values.
Approximation of the function: differential, the Taylor polynomial.
Systems of algebraic linear equations, matrices, linear independence of rows in a matrix, rank of a matrix, Gaussian elimination method.
Matrix algebra: linear combination of matrices, matrix multiplication. Determinants: definition, evaluating determinants of degree 2 and 3.
Matrix inverse. Cofactor, expanding a determinant about a row or a column, row or column transformations of determinants. Calculating a matrix inverse by determinats or by the Jordan elimination.
Systems of linear quations with a general matrix. Solvability (Frobenius theorem), solving a system by the Gaussian elimination.
Basics of linear programming.
Vector spaces: arithmetic vector space, vector space of functions on an interval.
Doporučená literatura
HOY, Michael, LIVERNOIS, John, MCKENNA, Chris, REES, Ray and STENGOS, Thanasis. Mathematics for Economics, 3rd edition, MIT Press, 2011, 958 pp., ISBN978-0-262-01507-
THOMPSON, Silvanus P., GARDNER, Martin. Calculus Made Easy. St. Martin´s Press, 1998, 243 pp., ISBN 0312185480.
STRANG, Gilbert. Introduction to linear algebra, 4th edition. Wellesley Cambridge Press, 2009, 584 pp., ISBN 0980232716.