Introduction to Statistical Theory I
CLASS SESSION BEGINS: Thursday, August 21, 2014
General Information: Course will be delivered by Web conferencing utilizing Adobe Connect. Students may be present, either in person or online, for the class sessions on Tuesdays and Thursdays from 1:15-2:30, or may view the class at a later time. USC Columbia students may attend classes in College of Nursing, Williams-Brice Building, Room 409; all other students will view classes via the Internet. For students viewing the class live online, the Adobe Connect URL will be posted in Blackboard by the instructor prior to the first class meeting. Students viewing at a later time may visit the Web site at video.sc.edu; click on the appropriate college/school and then your class link to view lectures. High-speed Internet access is required for Adobe Connect.
Course Delivery Type: Web: A Web course is taught using one or more web delivery platforms such as Blackboard, Streaming Video, Adobe Connect etc.
Students must have access to a high-speed Internet connection. More information will be provided by the instructor in the course syllabus.
(100% asynchronous - if course has any online or face-to-face meetings, live attendance will not be required. For any such sessions, there will be alternative ways to view or obtain the material covered).
Credit: 3 semester hours of graduate credit
Instructor: Xianzheng Huang
Graduate Bulletin Course Description: Fundamental theory of statistics and how it applies to industrial problems. Topics include probability, random variables and vectors and their distributions, sampling theory, point and interval estimators, and application to the theory of reliability, regression, process control and quality issues. Not to be used for M.S. or Ph.D. credit in statistics.
Prerequisites: MATH 241
Information is accurate as of
October 25, 2014, 5:25 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.