E-learning of trend modeling in a web-environment

Abstract

A general scheme of the e-learning system for trend modeling is presented. Random Number Generator determines the length of time series extracted from the HTML-presented Fishery Time Series (FTS) database. The developed Web-environment combines computing and training components. The computing part covers the access to the database and the statistical computation procedures. The training part provides help and advice by the conducted dialogue between the student and the computer. Network resources are effectively shared to ensure fast communication between the server and the client computers. Programming techniques have been developed for the management of the training process.