Ilbin Lee, PhD

Assistant Professor, Alberta School of Business - Department of Accounting and Business Analytics
Directory

Fall Term 2022 (1810)

OM 420 - Predictive Business Analytics

★ 3 (fi 6)(EITHER, 3-0-0)

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.

LECTURE A01 (34193)

2022-09-01 - 2022-12-08
MW 11:00 - 12:20 (CL 1-30)



OM 502 - Operations Management

★ 3 (fi 6)(EITHER, 3-0-0)

This course focuses on (1) the competitive advantage that a business unit can derive from innovative and efficient production and delivery of its goods and services and on (2) analytical approaches that are useful in understanding and improving an organization's operations. Specific modules include process diagramming and analysis; measuring and managing flow times; inventory control and optimization; supply chain coordination and operations strategy. Cases will be used to illustrate operational efficiency and its significance to the profitability of a firm. Prerequisite: MGTSC 501. Not to be taken by students with credit in MGTSC 502.

LECTURE X50 (39345)

2022-09-01 - 2022-12-08
T 18:00 - 20:50 (BUS B-24)



OM 620 - Predictive Business Analytics

★ 3 (fi 6)(EITHER, 3-0-0)

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 501.

LECTURE A01 (34195)

2022-09-01 - 2022-12-08
MW 11:00 - 12:20 (CL 1-30)