POM 333: Intro to Business Analytics - spring
Prerequisite: POM 212
Data analytics to describe, predict, advise decision-making, & improve business performance. The student will learn how to analyze business problems using a quantitative decision-making approach. This course focuses on methods, descriptive/predictive models for decision-making, & possible actions that would profit from analysis & results examined in a business context. This course is required of all undergraduate business majors.
| Class# | Sct | Type | Seats | Units |
| 11495 |
01 |
Lecture |
29 |
3.00 |
Days |
Start |
End |
|
| MON TUE WED THU FRI SAT |
9:30 AM EST |
10:45 AM EST |
|
| Instructor: Uday Jha |
Class status: C |
| Prerequisite: POM 212 |
| Enrollment Section |
| Class instruction mode: In Person
|
| Class# | Sct | Type | Seats | Units |
| 11496 |
02 |
Lecture |
29 |
3.00 |
Days |
Start |
End |
|
| MON TUE WED THU FRI SAT |
12:30 PM EST |
1:45 PM EST |
|
| Instructor: Gang Wang |
Class status: C |
| Prerequisite: POM 212 |
| Enrollment Section |
| Class instruction mode: In Person
|
| Class# | Sct | Type | Seats | Units |
| 11497 |
03 |
Lecture |
29 |
3.00 |
Days |
Start |
End |
Location |
| MON TUE WED THU FRI SAT |
2:00 PM EST |
3:15 PM EST |
CCB-340 |
| Instructor: Dan Braha |
Class status: C |
| Prerequisite: POM 212 |
| Enrollment Section |
| Class instruction mode: In Person
|