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 email: firstname.lastname@example.org webpage: http://www.uidaho.edu/~chrisw/SAScourse/. 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. Grading: 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 http://chuma.cas.usf.edu/~spector/sasdir/sascheat.html , 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:
Put this text in the text of your email message - DO NOT send them as attachments.