Department of Systems Analysis

Department of Systems Analysis

project

The industrial growth of recent years increases the need for high-qualified personnel, able to learn new technologies quickly. These factors put requirements to education system to higher level.

One of the best solutions is distant learning. It has the following advantages:

Flexibility – learn as much as you need
Parallelism – learn and work simultaneously
Remoteness – learn wherever you are
Asynchronous – use your own timetable
Wide range – student count is almost unlimited
Low cost – DL is in general 10-50% cheaper than classical learning

Thus, distant learning can be used when and as long as needed, anytime, anywhere. And even more – it is more cost-effective than traditional education.

Here we present the web-based system for distant learning support “Edia” and its actual content: courses on artificial neural networks (ANNs) and distributed systems.

The “Edia” system was designed using modern OOA&OOD methodologies and implemented with use of Java technologies (Servlets & JSP). The main feature of the system is that it contains and provides access to systematized information for remote and local users. Information is provided as html-formatted articles with inline multimedia. The system also features keywords assignment for articles, search functionality and dynamic glossary (index of keywords).

The ANN course available for students, provides them comprehensive information of practical solutions in ANN data processing (function approximation, time-rows prediction, pattern recognition etc.) The demonstration applets, introduced into articles, give students a visual aid to clarify their knowledge by self-conducted experiments.

We are looking for hosting (Tomcat + MySQL).

System binaries are available upon request.

Edia team: Andrei Papliatseyeu, Barys Ilyushonak, Katsiaryna Makarava, Maryna Repich.
Supervisor: Vladimir Lutkovski.

Any proposals, requests and questions are welcome: edia@gmail.by

Design and Administration by Maksim Dautov, Maryna Repich, Aleksey Astashkin