Statistics 404 - SAS Programming and Data Analysis, Module 3 (Spring 2003)

Instructor: Dr. Chris Williams              Office: Room 414 Brink Hall 

Phone: 885-2802 (direct) or 885-2929 (Division office) 

Meeting times: MWF 12:30-1:20 Admin 227 
Office Hours: MWF 1:30-2:20 or by appointment. 

Prerequisites: Stat 251 or equivalent coursework, basic knowledge of SAS. 

Texts: Data Mining, Using Enterprise Miner Software: A Case Study Approach, 
       First Edition     and

       Getting Started with Enterprise Miner Software Release 4.1



The webpage will contain announcements, summaries of lectures,
lists of assignments with due dates, and other information.

Objectives: To become familiar with the methods and goals of Data Mining
            and to learn how to use SAS/Enterprise Miner. 


Homework: 50%
Project: 50%.  
Have your proposed project pre-approved before beginning work on it.  

In a course that bases much of the grade on homework, it is essential for each student to do their own work. I am going to use the definitions of Academic Honesty that Dr. Paul Spector of the University of South Florida uses for his SAS internet course. Each student is required to visit his Academic Dishonesty page at , and send me an email message acknowledging that you have read and understand the policy.

When submitting homework that uses SAS code, send me an email message with 3 things:

  1. The code from the SAS editor window
  2. The text from the SAS log (up to a maximum of three pages)
  3. The text from the SAS output window

Put this text in the text of your email message - DO NOT send them as attachments.