Focus and Scope | Edutran Computer Science and Information Technology

About Journal

Edutran Computer Science & IT Education (ECSITE) E-ISSN : 2986-7703, P-ISSN: 2986-9013 is published by Edutran with its main aim to spread critical and original analysis from researchers and academic practitioners on computer science & IT education, both local and foreign. Published twice a year: March, and September, ECSITE provides itself as a medium for – also invites- researchers, academic practitioners, and intellectuals to submit their critical writings and to contribute to the development of Computer Sciences and Information Technology.

Journals invite original articles and are not sent simultaneously to other journals or conferences. The entire spectrum of information technology and computer science are welcome.

Peer Review Process
The Edutran Computer Science & IT Education (ECSITE) Journal implements the Multiple Peer Review Process. The Editor in Chief will assign the manuscript to the editor of the relevant section for further handling. The section editor will ask at least two scientists to review the manuscript. Based on comments from reviewers, the Section Editor and Editor in Chief will decide the manuscript.

Focus and scope of Edutran Computer Science & IT Education (ECSITE) Journal include:

1. Cultural Heritage Applications
2. Data Mining
3. E-Business
4. E-Commerce
5. E-Government
6. Enterprise Architecture Design & Management
7. Geographic Information System (GIS)
8. Human-Computer Interaction
9. Information Assurance & Intelligent
10. Information Extraction
11. Information Retrieval
12. Information Security & Risk Management
13. Information system development and implementation
14. IS/IT Operations Management
15. IS/IT Strategic Planning
16. IT Governance
17. IT Investment Analysis
18. IT Project Management
19. Multimedia Application (Web and Mobile)
20. Research approaches and methods
21. Technology development
22. Game Algorithm and Apps
23. Decision Support System (DSS)
24. Model Information System
25. Computer Vision
26. Internet of Things (IoT)