Framing Business Setting and Systems Development Life Cycle within an Information Systems Course

By:
Dr. Ali Ovlia
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This paper describes and analyzes a teaching approach that combines business and real world setting and systems development life cycle (SDLC) into an information systems course. The framework is based on concepts and foundations of systems development life cycle and the way these are implemented in a business organization for developing a computer-based business solution. The framework explicitly includes the relationships between the define analysis of problems and requirements and analysis and design of systems’ models. Within this framework, the teaching approach employs a term-long project spread over 8-week long course. Course activities include documentation and presentation. The objective of the term project is not only helping students to learn how to analyze and design a business solution but also helping them to see how SDLC phases are tight together and how their associated activities are conducted in a business and real world setting. The paper also provides insights for authors of books on SDLC


Keywords: Teaching, Business setting, Systems Development Life Cycle, Information Systems Course
Stream: Books, Writing and Reading
Presentation Type: 30 minute Paper Presentation in English
Paper: Framing Business Setting and Systems Development Life Cycle within an Information Systems Course

Dr. Ali Ovlia

Assistant Professor of Computer Science, Department Of Mathematics and Computer Science, Webster University
Saint Louis, Missouri, UNITED STATES

I have been with Webster University since year 2000. I received a BS from Italian Navel Academy in 1972, a BS and an MS in Computer Science from Oklahoma University in 1985 and 1987, and A Doctorate in Management from Webster University in 2000. I also took 18 credit hours in doctoral program in Computer Science in Oklahoma and Washington University. My field of interest was Artificial Intelligence and expert systems. Currently my field of interest is Decision Support and Data Mining and Warehousing in general and in particular is intelligent search algorithms. One of my work at Webster University is the development of the Graduate Certificate in Decision Support Systems.

Ref: B06P0184