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#SctTypeSeatsUnits
5001 01 Lecture 29 3.00
Days Start End Location
MON TUE WED THU FRI SAT 12:00 PM EST 12:50 PM EST Science & Engr 117
Instructor: Uday Jha Class status:
Prerequisite: POM 212
Enrollment Section
Class instruction mode: In Person
Class#SctTypeSeatsUnits
5002 02 Lecture 29 3.00
Days Start End Location
MON TUE WED THU FRI SAT 12:30 PM EST 1:45 PM EST CCB-240
Instructor: Gang Wang Class status:
Prerequisite: POM 212
Enrollment Section
Class instruction mode: In Person
Class#SctTypeSeatsUnits
5003 03 Lecture 29 3.00
Days Start End Location
MON TUE WED THU FRI SAT 2:00 PM EST 3:15 PM EST CCB-248
Instructor: Dan Braha Class status:
Prerequisite: POM 212
Enrollment Section
Class instruction mode: In Person
Class#SctTypeSeatsUnits
13097 7101 Lecture 39 3.00
Days Location
MON TUE WED THU FRI SAT Online
Instructor: Soheil Sibdari Class status:
Prerequisite: POM 212
Enrollment Section
Class instruction mode: On-Line
Class#SctTypeSeatsUnits
13755 04 Lecture 29 3.00
Days Start End Location
MON TUE WED THU FRI SAT 11:00 AM EST 11:50 AM EST CCB-149
Instructor: Leili Soltanisehat Class status:
Prerequisite: POM 212
Enrollment Section
Class instruction mode: In Person