The course focuses on the detailed description and understanding of the most modern, statistical and non-statistical, approaches, methods, and forecasting techniques. Its aim is to equip students with the knowledge and experience in the methodology and application of forecasting techniques. It also focuses on the use of business forecasting information systems by students with the aim of familiarizing them with business practices and new technology business tools. The ultimate goal is for students to acquire not only knowledge but also practical application in forecasting techniques. The subject of the course is: the analysis of statistical concepts, the qualitative characteristics of time series and the methodological tools of time series analysis, mathematical models and forecasting methods in time series, the categories of forecasting methods, the measurement of the accuracy of forecasts, and the different fields of application of these. Emphasis is given to the applications of the methods, the comparative evaluation of alternative techniques for each case, and the assimilation of basic tools that are necessary in the forecasting process. It is important to integrate the know-how and forecasting processes into an advanced business forecasting information system, which was designed and implemented by a Forecasting and Prospective Systems Laboratory for the presentation of techniques and forecasting processes through its use.
You can find the course page here.
Professors:
V. Asimakopoulos, Professor NTUA
Dr. E. Spiliotis