Course Schedule
BUSA 3132 01E —
Foundations Bus Analytics II
CRN 50276
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 |
Boakye, Kwabena |
| Location |
Online Course |
Seats Available |
3 open
(52 / 55)
|
| Instructional Method |
Entirely at a distance
This course is delivered 100% through distance education technology. No visits to campus/designated instructional site are required.
|
Waitlist Available |
No Waitlist Available
|
| Schedule Type |
Asynchronous Instruction
Asynchronous Course: Instruction delivered online without specified meeting days, times, or location.
|
Material Cost |
Day1Access |
| Semester |
Summer 2022 |
University Store |
Online
|
| Term |
Minimester II |
Course Fees |
N/A
|
Meeting Times
| Dates |
Days |
Time |
Building |
Room |
| June 20 - July 21, 2022
|
- |
-
|
- |
- |