Response Surface Methodology
CLASS SESSION BEGINS: Sunday, June 09, 2013
General Information: Course will be delivered by Web conferencing utilizing Adobe Connect. All students may be present, either in person or online, for the class sessions on Mondays, Wednesdays and Fridays; 10 a.m. - Noon. USC Columbia students may attend classes in the Close-Hipp Building (School of Business), Room 204. Students may call in with questions during class. Adobe Connect URL will be posted in Blackboard by the instructor prior to the first class meeting. Students will also have the option to view the course via videostreaming at video.sc.edu. High-speed Internet access is required for Adobe Connect.
On-Campus Sessions/Orientation Information:
Instructor will schedule proctored tests that may be taken at USC Columbia or at an Approved Testing Site http://www.sc.edu/dl/ss/testsite.html.
Video Streaming Assistance:
For information on getting started and technical information about video streaming, click here.
Official Course Session Dates: Course Begin/End and Drop/Add/Withdrawal
Credit: 3 semester hours of graduate credit
Registrars Office graduate listing for this course
Instructor: Don Edwards
Graduate Bulletin Course Description: Methods for fitting (regression) response surfaces and interpreting them subject to random error. Includes designs and industrial process optimization methods.
Prerequisites: STAT 701 or 705 or consent of department
Information is accurate as of
April 24, 2014, 10:00 am
(Subject to change)
Textbooks are available from the USC University Bookstore in the Russell House Student Union, Greene Street, Columbia, SC, 803-777-4160 (toll free at 888-654-5320). Online text ordering is available through the bookstore Web site at www.shopgamecocks.com. Delivery options are in-store pickup or UPS shipping (Ground, Second Day, or Next Day). Students are required to indicate their course section to order online; there will be a "J" prefix on the course SECTION number for this course. Contact the bookstore for questions about the online ordering system.