Description

Concepts, development and application of Decision Support Systems (DSS) and related management support
systems (Executive Information Systems and Expert Systems). Design framework and Management Science models for DSS. DSS development process and tools, user interface, evaluation, and
implementation. Study of recent development in model-based DSS applications with knowledge base enhancement. Class projects designing prototype management support systems will be required.

Prerequisites

IS 211 or both SOM 306 and IS 312; BUS 302/L. Passing score on the Upper-Division Writing Proficiency Exam (WPE).

Learning goals

i. Learn concepts related DSS & BI , ii. Learn to analyze business environment and match management science models for DSS, iii.  Learn to use DSS development tools.

Text

Turban, E, Aronson, J.E., Liang, T.P., and Sharda, R., Decision Support and Business Intelligence Systems, 8E, Pearson/Prentice-Hall, 2007. ISBN: 0131986600.

Additional materials will be provided as needed.

Grading

Mid-Term - 25%; Final (cumulative) - 25% ; Presentation - 10%;   Assignments - 35%; Participation - 5%.  

No late submission will be accepted. No make-up exams or assignments will be given.

Participation is based on attendance, preparation, professional conduct and active contributions during the class.

 >91%:A; >81: B; >71:C; >61: D; <61: F; (There will be +/- grading)

Tentative Schedule

Week	Material	Text Chapter
1	Overview	1
2	Decision-making	2
3	DSS Technologies	3
4-5	DSS modeling	4
6	Data warehousing	5
7	Business analytics	6
9	Mid-term
10-11	Data mining	7
12	BPM	9
13	Group DSS	10
14	Knowledge Management	11
15	AI	12

Academic honesty

All students are to abide by the code of conduct described in the link http://www.csun.edu/busecon/. Violations would lead to failure in the course, suspension or expulsion from the University.