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. Students will analyze complex business problems and apply higher-level modeling 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 | TR 09:30 - 10:45
| SH 215
| | | |
| LEC 2 | TR 11:00 - 12:15
| SH 215
| | | |
| LEC 3 | TR 12:30 - 13:45
| SH 215
| | | |
| Notes:
Not for students with MGST 217/SGMA 217. Only for students with BSEN 291. |
| LEC 4 | TR 14:00 - 15:15
| SH 215
| | | |
| Notes:
Not for students with MGST 217/SGMA 217. Only for students with BSEN 291. |
| LEC 5 | TR 15:30 - 16:45
| SH 215
| | | |
| LEC 6 | T 18:30 - 21:15
| SH 215
| | | |
| TUT 1 | F 16:00 - 18:50
| MFH 160
| | | |
| TUT 2 | F 16:00 - 18:50
| MFH 162
| | | |
| TUT 3 | F 16:00 - 18:50
| MFH 164
| | | |
This course will be offered next in
Winter 2016.