University of Calgary
MGST 391 - Business Analytics - Fall 2015
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.This course will be offered next in Winter 2016.
This course may not be repeated for credit.
Hours
- H(3-3T)
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 Janice Eliasson LEC 2 TR 11:00 - 12:15 SH 215 Janice Eliasson LEC 3 TR 12:30 - 13:45 SH 215 Victoria Mitchell, Marco Bijvank Notes: Not for students with MGST 217/SGMA 217. Only for students with BSEN 291.LEC 4 TR 14:00 - 15:15 SH 215 Victoria Mitchell, Marco Bijvank Notes: Not for students with MGST 217/SGMA 217. Only for students with BSEN 291.LEC 5 TR 15:30 - 16:45 SH 215 Jaydeep Balakrishnan LEC 6 T 18:30 - 21:15 SH 215 Maria Stoletova TUT 1 F 16:00 - 18:50 MFH 160 Janice Eliasson TUT 2 F 16:00 - 18:50 MFH 162 Janice Eliasson TUT 3 F 16:00 - 18:50 MFH 164 Janice Eliasson
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