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Master Syllabus

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Administrative Unit: Computer and Mathematical Sciences Department
Course Prefix and Number: CISS 472
Course Title: Data Warehousing and Decision Support Systems
Number of:
Credit Hours 3
Lecture Hours 3
Lab Hours 0
Catalog Description:

An investigation of data warehousing, data mining and decision support systems. Topics include design and architectural issues, cost effectiveness, management concerns, data integrity, deployment and maintenance issues. Prerequisite: CISS 402 or  CISS 430

 
Prerequisite(s) / Corequisite(s):

CISS 402 or  CISS 430

 
Course Rotation for Day Program:

Occasional

 
Text(s): Most current editions of the following:

Decision Support Systems and Intelligent Systems
By Turban, E., et. al. (Prentice Hall)
Recommended
Data Mining: Concepts and Techniques
By Han, J., and Kamber. M. (Morgan Kaufmann)
Recommended
 
Course Learning Outcomes

1.  Demonstrate an understanding of data warehousing and its relationship to decision-making.

2.  Demonstrate an understanding of the main concepts underlying data warehouse design and implementation, data quality, and retrieval and analysis of data.

3.  Construct meaningful multi-dimensional models.

4.  Utilize a data mining query language.  

5.  Apply statistical techniques for analyzing data.

 
Major Topics/Skills to be Covered:
  • Data warehousing techniques and issues
  • Data preprocessing
  • Data reduction
  • Data cleaning
  • Query languages for data mining
  • Developing mining association rules
  • Data classification and prediction techniques
  • Cluster analysis
  • Ethical issues in data mining
 

Recommended maximum class size for this course: 20

 
Library Resources:

Online databases are available at http://www.ccis.edu/offices/library/index.asp. You may access them using your CougarTrack login and password when prompted.

 
Prepared by: Suzanne Tourville Date: November 15, 2016
NOTE: The intention of this master course syllabus is to provide an outline of the contents of this course, as specified by the faculty of Columbia College, regardless of who teaches the course, when it is taught, or where it is taught. Faculty members teaching this course for Columbia College are expected to facilitate learning pursuant to the course learning outcomes and cover the subjects listed in the Major Topics/Skills to be Covered section. However, instructors are also encouraged to cover additional topics of interest so long as those topics are relevant to the course's subject. The master syllabus is, therefore, prescriptive in nature but also allows for a diversity of individual approaches to course material.

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