Clinical Assistant Professor
Clinical Assistant Professor of Information Systems, W. P. Carey School of Business, Arizona State University
Ph.D., Arizona State University, 1993;
Master Certificate in Project Management, George Washington University, 2000;
MS, Arizona State University, 1988;
B.B.A. Tamkang University, 1984
Subscript-Free Modeling Language, models and data integration in a decision support system; business information systems apps development and application, the pros and cons of small business operation with apps; enterprise add-on values and services, e-commerce product and project management.
Academic Positions Held
Arizona State University: 2013-present. Previous appointments: Yuan-Zi University
Career and Recent Professional Awards; Teaching Awards
Excellent Employee awards in Motorola Inc. and General Dynamics for years 1999, 2005, and 2007
Lin, S. E., Schuff, D., and St. Louis, R. Subscript-Free Modeling Languages: A tool for facilitating the formulation and use of models, European Journal of Operational Research, Volume 123, Issue 3, 16 June 2000, 614 - 627.
Lin, S. E. Subscript-Free Modeling Language: An Improved Basis for Integrating Models and Data in a Decision Support System (Doctoral Dissertation, Arizona State University.), 1993.
ASU is a tier 1 research university and W. P. Carey is proud of its strong tradition of teaching and classroom excellence. Our students directly benefit from the research and theories our faculty brings into the classroom. Below is a list of courses being taught during the current semester by this faculty member. Click a course to view it in the ASU course catalog.
CIS 235 - Intro to Information Systems
Survey course introducing the competitive and strategic uses of information systems, how information systems are transforming organizations and their management, and the issues, difficulties, and opportunities facing the technology professional and business manager today.
CIS 506 - Business Database Systems
Hierarchical, network, relational, and other recent data models for database systems. Processing issues such as concurrency control, query optimization, and distributed processing.