| Program Detail |
: Discover the object-oriented approach to systems development through data modeling, a powerful technique for systems analysis. The approach focuses on identifying, formalizing and verifying information and expert knowledge from diverse business, engineering and technical disciplines to determine the inherent information requirements of the system.
This technique is appropriate for complex problem environments (real-time control systems, decision support systems or knowledge-based systems), as well as for straightforward applications with minimal processing requirements such as database problems.
Learn how to define systems modeling and to differentiate between essential implementation and current and proposed system models. Topics also cover:
- the definition and importance of modeling
- fundamental, associative, supertype and subtype data entities
- the similarities between various data modeling notations
- how data modeling is used in systems planning and analysis |
