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The Computer-Based Information System - Decision Support Systems

The Computer-Based Information System - Decision Support Systems

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Curriculum Design and Instruction To Teach

The Management Of Information Systems:

The Computer-Based Information System:

Decision Support Systems:


Author: Charles Hayes:



The Management Of Information Systems

(MIS) is a general name for the academic

discipline covering the application of

people, technologies, and procedures;

collectively called the information system

to solve business problems. MIS are distinct

from regular information systems in that they

are used to analyze other information systems

applied in operational activities in the

organization. Academically, the term is commonly

used to refer to the group of information

management methods tied to the automation

or support of human decision making, e.g.

Decision Support Systems, Expert systems,

and Executive information systems.









Special Features Include:

Phases For Conducting a Needs Assessment:
Curriculum Design Supplement:
|a|. Subject-Questions-Answers:
Curriculum Design Plan:
Curriculum Design Goals:
Curriculum Design Objectives:
Instructional Goals:
Instructional Objectives:
Instructional Activities:
Instructional Evaluation Techniques:
Lesson Plans:
Standard Vocabulary:
Key Words/Phrases:
Learning Objectives:
Key Concepts:
A Limited Glimpse:


Topics Include:

* Introduction:

* The Computer-Based Information System:

@ Decision Support Systems:

1. Decision Making:

a. Simon's Types of Decisions:

b. Simon's Phases Of Problem Solving:

2. The DSS Concept:

a. The Term DSS Is Coined:

b. Alter's DSS Types:

3. DSS Objectives:

4. Group Decision Support Systems:

a. The GDSS Concept:

b. How the GDSS Contributies to Problem Solving:

c. GDSS Environmental Settings:

5. Groupware:

a. Lotus Notes:

b. Artificial Intelligence:

6. Applying the Systems Approach:

a. History of AI:

b. Areas of AI:

7. The Appeal of Expert Systems:

8. The User Interface:

9. Expert System Inputs:

10. Expert System Outputs:

11. The Knowledge Base:

a. Rules:

b. Networks of Rules:

12. The Inference Engine:

a. Forward Reasoning:

b. Reverse Reasoning:

c. Comparing Forward and Reverse

Reasoning:

13. The Development Engine:

a. Programming Languages:

b. Expert System Shells:

14. Advantages and Disadvantages

of Expert Systems:

a. The Advantages of Expert Systems to

Managers:

b. The Advantages of Expert Systems to

the Firm:

c. The Disadvantages of Expert Systems:

15. Keys to Successful Expert System

Development:

16. Neural Networks:

a. Biological Comparisions:

b. The Evolution of Artificial Neural

Systems:

c. The Artificial Neural System:

d. Network Training:

e. Putting The Artificial Neural System

In Perspective:

17. Summary:

* CASE PROBLEM: NEWCASTLE HOMES:

* STATE OF THE ART CURRICULUM DESIGN:

* NEW:

* ILLUSTRATIONS:

* DIAGRAMS:

* BIBLIOGRAPHICAL REFERENCES & INDEX:

* PAPERBACK:

* TRANSPARENT FRONT PAGE:

* BLACK-WHITE-RED OR BLUE BACK PAGE COVER:

* BINDED WIRE-0: BLACK-WHITE-RED OR BLUE:

* 50 WHITE PAGES: 8x11"

* ALLOW 10 TO 14 DAYS TO RECEIVE ITEM:
... [Full Description]

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