Course outline

School

Economics & Social Sciences

Department

Business Administration

Level of Studies

Undergraduate

Course code

806

Semester

8

Course title

Business Forecasts

INDEPENDENT TEACHING ACTIVITIES

Weekly teaching hours
-

ECTS

4

5

Type of course

Prerequisite course

Language of instruction and exams

The course is offered to Erasmus students

Course URL

Learning outcomes

General Skills

- Introduction to forecasting (categories of forecasting methods, qualitative characteristics of time series, forecasting process) - Preparation and analysis of time series (graphical representation of data, statistical analysis of data) - Error indices, Decomposition of time series - Special events and actions - Categories of forecasts (statistical, critical and objective) - Prediction horizon, Confidence intervals - Forecasting process in business - Exponential smoothing method (constant level, linear trend, non-linear trend, and seasonal smoothing models) - Regression models (simple and multiple linear regression), Intermittent demand data, Intermittent demand forecasting methods (Croston, SBA and ADIDA methods) - Choice of forecasting method - Combination of forecasting methods - Critical forecasting, Long-term forecasting - Scenarios

TEACHING METHOD

USE OF INFORMATION AND COMMUNICATION TECHNOLOGIES

Use of ICT in Teaching, in Laboratory Education, in Communication with students

TEACHING ORGANIZATION

STUDENT EVALUATION