Learning Objectives
The principal objective of this course is to synthesize material on
organizational context, decision making, and decision processes with
material on modeling and information technologies relevant to the
development and deployment of decision support systems. Upon
completion of this course students will understand:
- Human decision processes, in particular the heuristics that people employ to make decisions and their associated biases
- Problem structuring methods such as influence diagrams and objective heirarchies
- The application and implementation in software of modeling
technologies such as decision trees and multi-criteria decision
making techniques within decision support systems
- Understanding of LAN and WAN-based client/server technologies
such as ODBC and http/CGI scripts on the world wide web and the ways in which
they could be used to implement enterprise wide access to decision support systems
- The role of technology architectures in implementation decision
support systems
- Organizational use of individual and group decision support systems
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Ramayya
Krishnan rk2x@andrew.cmu.edu