Mathematics for Economists and Statistics II (VO)
BackCourse lecturer:
Priv.-Doz. Mag. DI Dr. rer. nat.
Anita Kloss-Brandstätter
Course number | B4.06360.20.261 |
Course code | WiMa II |
Curriculum | 2016 |
Semester of degree program | Semester 2 |
Mode of delivery | Presencecourse |
SPPW | 1,0 |
ECTS credits | 1,0 |
Language of instruction | English |
Students are able to describe the properties of the basic functions. They are able to use the basic methods of math in finance and can apply differential calculus in economics.
Students should learn the basic concepts and methods of descriptive and inferential statistics, in order to be able to apply them correctly and to interpret statistical data.
Part Mathematics/Statistics rotation of the groups in WS/SS
Part Mathematics: Linear and nonlinear equations, systems of linear equations (optinal), linear optimization (optional). Functions; polynomial, rational function, roots, logarithm, exponential function. sequences and sums. The processes of maths for finance: depreciation; interest and compound interest calculation; pension calculation; amortization descriptive. Differential calculus and applications in economics.
Part Statistics:
- Basics of Measurement
- Descriptive Statistics:
- Univariate Statistics: Frequency Distributions, Measures of Central Tendency and of Dispersion, Diagrams, Manipulation
- Bivariate Statistics: Simple Linear Regression and Correlation, Lorenz Curve and Gini-Coefficient
- Indices
- Inferential Statistics: Probability Theory, Binomial and Normal distribution, Estimation Intervals, Confidence Intervals
Luderer, B.; Nollau, V.; Vetters, K. (2010) Mathematical Formulas for Economists, Springer
Olaf Neubauer (2007) Mathematics and Statistics: Key Qualifications for Economists and Engineers
lecture with integrated exercises (in groups) and exercises at home
Written