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Course Description

MGSC 520 - Forecasting and Time Series

Class Session: Thursday, August 24, 2017 - Friday, December 08, 2017

Credit: 3 semester hours of undergraduate/graduate credit

Prerequisites: MGSC 292 or STAT 516

Instructor: David Hitchcock

Note: This course is cross listed with STAT 520.

Course Description

Time series analysis and forecasting using the multiple regression and Box-Jenkins approaches.

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 Mondays, Wednesdays and Fridays, 1:10-2:00 pm, or may view the class at a later time. USC Columbia students may attend classes in Williams-Brice Building (Nursing) 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; 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

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).

Course Materials

See course syllabus for materials information.

.Video Streaming Assistance.

Information on technical requirements and getting started with video streaming is available online.

Information is accurate as of October 21, 2018, 1:26 pm (Subject to change)

Special Fee Notification

Students may be required to be proctored during online test completion. If students are unable to attend test proctoring sessions in person at the Distributed Learning office, additional fees may apply for online test proctoring if the course requires online testing.

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