OM 420 - Predictive Business Analytics

★ 3 (fi 6)(EITHER, 3-0-0)

Faculty of Business

Application of predictive statistical models in areas such as insurance risk management, credit risk evaluation, targeted advertising, appointment scheduling, hotel and airline overbooking, and fraud detection. Students will learn how to extract data from relational databases, prepare the data for analysis, and build basic predictive models using data mining software. Emphasizes the practical use of analytical tools to improve decisions rather than algorithm details. Prerequisite: MGTSC 352 or OM 352.

Winter Term 2024

Lectures

Section Capacity Class times Instructor(s)
LECTURE B01
(11950)
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20
2024-01-08 - 2024-04-12 (MW)
11:00 - 12:20
BUS B-18
Primary Instructor: Ilbin Lee
LECTURE B02
(19556)
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25
2024-01-08 - 2024-04-12 (TR)
12:30 - 13:50
BUS B-18
Primary Instructor: Maryam Hasanzadeh Mofrad

Spring Term 2024

Lectures

Section Capacity Class times Instructor(s)
LECTURE A01
(30619)
25
2024-05-06 - 2024-06-12 (MW)
14:00 - 16:50
BUS B-18
Primary Instructor: Bo Han