Module Overview
It focuses on the concepts on digital technologies for information systems development and advanced technologies for data analytics.
Key Points
Information Systems Development
- Management of system development project
Project management methodology: Agile
- It is a project management approach for system development, which is iteratively implemented to align the requirements from third party and the development team.
- Examples: Extreme Programming, Scrum
- Database design and implement
Entity-Relationship Diagram
- It describes the relationships between entities, such as objects. For usual, one objects corresponds one table in a database.
Data Flow Diagram
- It graphically interprets the process for processing information in a system.
- Procedure and structure for information system development
Life cycle for structuring system development
- investigation, analysis, design, programming, testing, deployment, maintenance
- Basic facilities of information system
Open-source software
SQL
Cloud Resources
Data Analytics
In business, the information systems and data analytics be usually combined to execute business intelligence tasks.
- Machine learning
Fundamental technique for data analytics
- It automatically to execute data analytics task for the built model.
- Artificial intelligence
- Wide usage on simulating human intelligence
In-class Notes from Myself
Will be uploaded later…