HEC — RS&GIS Curricula 2005
28
5:
Spatial
Decision Support Systems
Course Structure: Lectures: 2 /
Labs: 1
Credit Hours: 3
Prerequisites: Database Systems, Data Structures & Algorithms
Objectives: The overall aim of this course is to provide the students with
an understanding of decision support system and with the development of
decision support systems.
Course Outline: Decision Making Processes: Introduction, Major decision-
making Paradigms, Models of decision-making,
Different types of problem,
Hierarchy of decisions
Spatial Decision-Making: Introduction, A systematic approach for solving
spatial problems, Methods and techniques to support spatial decisions,
Performance modeling and types of criteria, Measurement Scales,
Uncertainty
in decision making process
Decision Support Systems: Introduction, Origin, Definition and
components, Fundamental Phases, Characteristics and Capabilities of
DSS, GIS and Decision Support Systems, Spatial Decision Support
Systems, Integration of GIS and DSS
Multicriteria Evaluation:
Criteria properties, Criteria weighting, Pair wise
comparison, Ranking techniques, Rating techniques, Sensitivity analysis,
Redistribution criteria weight,
Option Ranking methods, Weighted
summation, Ideal point, Rank order
Methods and Tools for Collaborative Decision- Making: Introduction, Task
Analysis as a Needs Assessment, System Requirement Analysis,
Software
Capabilities, Collaboration Personnel, Example Configurations for Same
Place – Same Time Collaboration, Architectures for Implementing
Collaborative Decision Support Systems, Hardware Architecture for Same-
Place, Same-Time
Collaboration Support, Software Architecture for Same-
Place, Different-Time Collaboration Support, Hardware Architecture for
Different-Place, Same-Time Collaboration Support, Software Architecture
for Different-Place, Different-Time Collaboration Support,
Existing DSS-
Supported Collaborative Decision -Making Software Packages, INDEX
®,
Smart Places Series E, Active Response GIS, Geo Choice Perspective
TM
,
Consensus Evaluation, Conflict Analysis,
Identification of Stakeholders,
Identification of Options, Identification of Interest (criteria), Mediation and
Negotiation Approaches, Facilitation, Consensus Evaluation
Lab Outline: Populating a data warehouse using different loading
facilities, running different queries for extraction of results. Populating and
using an OLAP tool.
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