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.
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 | MW 09:30 - 10:45
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| LEC 2 | MW 11:00 - 12:15
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| LEC 3 | TR 09:30 - 10:45
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| LEC 4 | TR 11:00 - 12:15
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| LEC 5 | TR 12:30 - 13:45
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| LEC 6 | TR 14:00 - 15:15
| | Seyed Mohammadreza Shahsahebi | | |
| LEC 7 | TR 15:30 - 16:45
| | Devin Limpert | | |
| LEC 8 | TR 17:00 - 18:15
| | Devin Limpert | | |
| TUT 1 | F 17:00 - 19:45
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| TUT 2 | F 17:00 - 19:45
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| TUT 3 | F 17:00 - 19:45
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| TUT 4 | F 17:00 - 19:45
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| TUT 5 | F 17:00 - 19:45
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| TUT 6 | F 17:00 - 19:45
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| TUT 7 | F 17:00 - 19:45
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| TUT 8 | F 17:00 - 19:45
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This course will be offered next in
Winter 2024.