Quantitative Methods in Management (CEMS) 233081-D
Laboratorium (LAB) Semestr letni 2020/21

Data processing, the use and presentation of descriptive statistics in business.

Basic statistical concepts in practical use (e.g. index numbers, simple and compound interest, time value of money).

Basics of probability in business, probability distributions.

The use of sampling and hypothesis testing in decision-making.

Linear regression in business management.

Time series and forecasting.

Non-linear regression in business management.

Introduction to linear programming in business with the use of graphical solution.

Linear programming with the use of Solver software in Excel.

Waiting lines and queuing theory.

Simple Markov processes in business management.

Decision trees.

Decision-making under conflict ? introduction to game theory.

Simulations in business management.

Introduction to machine learning.