University of Calgary
MGST 391 - Business Analytics - Winter 2022
Business Analytics uses data, information technology, statistical analysis, and quantitative methods to build models that help managers gain improved insight about their business processes and make better, fact-based decisions. Analysis of complex business problems and application of higher-level modelling techniques including optimization, simulation, decision analysis, queuing theory and forecasting.
This course may not be repeated for credit.This course will be offered next in Spring 2022.
This course may not be repeated for credit.
Hours
- H(3-3T/3-1.5T)
Prerequisite(s)
- Admission to the Haskayne School of Business, Mathematics 249 or 251 or 265 or 281, Statistics 217, Management Studies 217 and Strategy and Global Management 217.
Sections
LEC 1 TR 09:30 - 10:45 Michael Saar Notes:LEC 2 TR 11:00 - 12:15 Michael Saar Notes:LEC 3 TR 12:30 - 13:45 Michael Saar Notes:LEC 4 TR 14:00 - 15:15 Notes:LEC 5 TR 15:30 - 16:45 Mahdi Shakeri Notes:TUT 1 F 17:00 - 19:45 Michael Saar Notes:TUT 2 F 17:00 - 19:45 Michael Saar Notes:TUT 3 F 17:00 - 19:45 Michael Saar Notes:TUT 4 F 17:00 - 19:45 Michael Saar Notes:TUT 5 F 17:00 - 19:45 Michael Saar Notes:
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