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Decision Support System

Course Description

Overview

As we begin the 21st century, we observe major changes in how managers use computerized support in making decisions. DSS is quickly becoming a shared commodity across the organization. Organizations now can easily use intranets and the Internet to deliver high value performance analysis applications to decision makers around the word. Today's DSS tools can also create a key interactive user interface that allows users to view and process data and models with standard Web browsers with great flexibility, efficiency, and ease. The easy to use and readily available capabilities of executive information, knowledge, and other advanced systems have migrated to the PC and personal digital assistants (PDAs). Managers can communicate with computers and the Web with a variety of handheld wireless devices, including the cell telephone. Through these devices, managers access important information and useful tools, and collaborate. Data warehouses and their analytical tools, such as online analytical processing (OLAP), dramatically enhance information access organizational boundaries. Decision support for group continues to improve with major new developments in group support systems for enhancing collaborative work, anytime and anywhere.

Artificial intelligence methods are improving the quality of decision support and are becoming embedded in many applications ranging from toasters to intelligent Web search engines. Intelligent agents perform routine tasks, freeing up decision makers' time to devote to important work. The purpose of this course is to introduce the reader to these technologies, which we call collectively, management support systems. This course presents the fundamentals of the techniques and the manner in which they are developed and used. 
 

Prerequisites

Students are expected to have good knowledge of Artificial Intelligence and software engineering concepts

 

Course Topics

  • Decision Making and Computerized Support (A Framework for Decision Support, Executive Information Systems, Expert Systems and Intelligent Agents, Knowledge Management Systems, Enterprise Resources Planning and Supply Chain Management,...)
  • Decision Support system Development (Modeling Process,...)
  • Architecture of a Decision Support System
  • Data Warehousing
  • Data Mining
  • Collaboration, Communication, Enterprise Decision support Systems, and Knowledge Management
  • Knowledge Acquisition and Validation
  • Knowledge Representation
  • Advanced Intelligent Systems

By the end of this course, you will know:

  • what ideas, what new trends and what new possibilities are offered by DSS and related tools, techniques, applications and concepts.



Course Material

Textbook

"Decision Support Systems And Intelligent Systems" edited by Efraim Turban and Jay E. Aronson.


Further Reading

  • Burstein F., Bui T., Arnott D., "Decision support in the new millennium", Decision Support Systems 31/2, Elsevier Science B.V., pp. 163-164, June 2001

  • Carlsson C., Turban E., "DSS: directions for the next decade", Decision Support Systems 33/1, Elsevier Science B.V., pp. 105-110, May 2002

  • Courtney J.F., "Decision making and knowledge management in inquiring organizations: toward a new decision-making paradigm for DSS", Decision Support Systems 31, Elsevier Science B.V., pp. 17-38, 2001

  • Forgionne G. A, Mora M. "Decision making support systems: achievements, challenges and opportunities", Decision Making Support Systems; Mora & Forgionne, Jadinter Gupta, pp. 392-402, 2002

  • Forgionne G. A., "An architecture for the integration of decision making support functionalities", Decision Making Support Systems; Mora & Forgionne,  Jadinter Gupta, pp. 40-70, 2002

  • Nemati H.R, Steiger D. M., Iyer L. S., Herschel R. T., "Knowledge warehouse: an architectural integration of knowledge management, decision support, artif icial intelligence and data warehousing", Decision Support Systems 33/2, Elsevier Science B.V., pp. 143-161, June 2002

  • Pomerol J.C., Adam F., "From human decision making to DMSS architecture", Decision Making Support Systems; Mora & Forgionne,  Jadinter Gupta, pp. 40-70, 2002

  • Power D.J., "Categorizing Decision Support Systems, A Multidimensional Approach", Decision Making Support Systems; Mora & Forgionne,  Jadinter Gupta, pp. 1-19, 2002

  • Power D.J., "Supporting Decision-Makers: An Expanded Framework", Informing Science, June 2001


Grading Policy

According to the following description, there will be two exams, homework assignments and one final paper as following:
  • [25%] Homework assignments
  • [20%] Midterm exam
  • [30%] Final exam
  • [25%] Project