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POM 333: Intro to Business Analytics - fall

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
11314 01 Lecture 35 3.00
Days Start End Location
MON TUE WED THU FRI SAT 11:00 AM EST 11:50 AM EST Science & Engr 118
Instructor: Uday Jha Class status:
Prerequisite: POM 212
Enrollment Section
Class instruction mode: In Person
Class#SctTypeSeatsUnits
11315 02 Lecture 35 3.00
Days Start End Location
MON TUE WED THU FRI SAT 9:30 AM EST 10:45 AM EST Science & Engr 113
Instructor: Gang Wang Class status:
Prerequisite: POM 212
Enrollment Section
Class instruction mode: In Person
Class#SctTypeSeatsUnits
11316 03 Lecture 35 3.00
Days Start End Location
MON TUE WED THU FRI SAT 11:00 AM EST 12:15 PM EST Science & Engr 113
Instructor: Gang Wang Class status:
Prerequisite: POM 212
Enrollment Section
Class instruction mode: In Person
Class#SctTypeSeatsUnits
11317 04 Lecture 35 3.00
Days Start End Location
MON TUE WED THU FRI SAT 5:00 PM EST 6:15 PM EST CCB-340
Instructor: Dan Braha Class status:
Prerequisite: POM 212
Enrollment Section
Class instruction mode: In Person