The Systems Analysis and Design Course: An Educators’ Assessment of the Importance and Coverage of Topics

This study examines instructors\u27 perceptions regarding the skills and topics that are most important in the teaching of a Systems Analysis and Design (“SAD”) course and the class time devoted to each. A large number of Information Systems (“IS”) educators at AACSB accredited schools across the United States were surveyed. Shannon‟s entropy is used to analyze the opinions and measure the agreement or disagreement among survey respondents. Findings suggest that object-oriented analysis and structured analysis are topics on which instructors spend the most time, and are also the topics for which there is the greatest disagreement regarding importance. Conversely, the greatest agreement among survey respondents occurs with topics that, on the whole, were perceived as less important and to which less class time is devoted. This analysis provides a basis for comparison to practitioner perceptions

Entity Relationship Approach to Knowledge Base Systems.

A unified framework for knowledge base systems is proposed based on Entity-Relationship (ER) approach. Following the analysis and the specification of the real-world using Entity-Relationship approach, the knowledge base is implemented as a first-order logic system, a production system, or a frame-based system by mapping the appropriate symbolic data structures. An approach for analyzing and specifying real-world perceptions must provide appropriate semantic primitives. Therefore, a justification is provided for the semantic primitives proposed in Entity-Relationship approach by considering the fundamental issues in perception. A notation that allows Entity-Relationship approach to be used as a holistic representation is presented. Translation rules are provided for the conversion of ER-diagrams into symbolic data structures of first-order logic systems, production systems, and frame-based systems. The feasibility of using Entity-Relationship approach to support a natural language front-end of a knowledge base system is examined by analyzing the representation of surface and deep structures of a sentence in Entity-Relationship approach