CIS356
Preview: CIS356 : Decision Support and Business Intelligence
Course Guide
Prerequisites
Course Description
Instructional Materials
CIS109 (Introduction to Management Information Systems)
OR
CIS111 (Introduction to Relational Database Management Systems)
This course covers the techniques, frameworks, and application of computerized decision support
systems that support managerial decision making. Topics include the characteristics, structure,
uses, and types of decision support systems.
Required Resources
Ramesh Sharda. 2019. Analytics, Data Science, and Artificial Intelligence: Systems for Decision
Support. CIS356 Blackboard Course.
Predictive Analytics World. No date. Predictive Analytics Guide: What Is Predictive Analytics?
https://www.predictiveanalyticsworld.com/predictive-analytics/
Supplemental Resources
Ⓒ 2020 Strayer University. All Rights Reserved. This document contains Strayer University and Proprietary Confidential
information and may not be copied, further distributed, or otherwise disclosed in whole or in part, the without expressed
written permission of Strayer University.
Course Learning Outcomes
Weekly Course Schedule
Week 1 - To Do List
Learn: Read Chapter 1, Sections 1.1–1.4, in Analytics,
Data
Science,
and
Artificial
Intelligence:
Systems
for
Decision
Support ., and view the associated PowerPoint slides
Discuss: Introduce yourself and complete the discussion, Analyze Simon's Four Decision-making
Phases.
Week 2 - To Do List
Learn: Read Chapter 1, Sections 1.5–1.11, in Analytics,
Data
Science,
and
Artificial
Intelligence:
Systems
for
Decision
Support, and view the associated PowerPoint slides.
International Institute for Analytics. No date. . IIA | International Institute for Analytics
https://www.iianalytics.com/
Daniel J. Power. March 10, 2007. . A Brief History of Decision Support Systems
https://dssresources.com/history/dsshistory.html
Evaluate how DSS, BA, and AI can improve risk management strategies for
