Course Schedule
BUSA 3132 03F —
Foundations Bus Analytics II
CRN 50246
3.0 credit hours
This course focuses on a selection of models commonly used in business analytics including simple and multiple regression analysis, time series analysis and forecasting, decision theory, and optimization models. Cross disciplinary business analytics applications are emphasized in this course. Students will learn to apply business analytics models to solve business problems using computer-based tools such as Excel Solver and Excel Data Analysis. Real business data and examples will be used whenever possible. Prerequisite(s): A minimum grade of "C" in BUSA 3131.
Course Details
| College |
Business |
Instructor |
Moss, Steven |
| Location |
Online Course |
Seats Available |
31 open
(69 / 100)
|
| Instructional Method |
Technology enhanced
Technology is used in delivering instruction to all students in the section, but no class sessions are replaced by technology.
|
Waitlist Available |
No Waitlist Available
|
| Schedule Type |
Asynchronous Instruction
Asynchronous Course: Instruction delivered online without specified meeting days, times, or location.
|
Material Cost |
N/A |
| Semester |
Summer 2021 |
University Store |
Online
|
| Term |
Minimester I |
Course Fees |
N/A
|
Meeting Times
| Dates |
Days |
Time |
Building |
Room |
| May 17 - June 17, 2021
|
- |
-
|
- |
- |