Decision Support System
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.
Students are expected to have good knowledge of Artificial Intelligence and software engineering concepts
By the end of this course, you will know:
Support Systems And Intelligent Systems" edited by Efraim Turban and
Jay E. Aronson.