Statistics 404 - SAS Programming and Data Analysis, Module 1 (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. Text: SAS Programming for Researchers and Social Scientists by Paul E. Spector email: email@example.com 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 learn many of the features of the SAS Data step, including data management, data transformations, and data simulation. Grading: Homework: 75% Final 25% Friday, February 21
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, the author of our text, 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, send me an email message with 3 things:
Put this text in the text of your email message - DO NOT send them as attachments.