University of Calgary
MGST 391 - Research and Analysis for Decision Making - Winter 2013
Use of data-driven analysis to guide managerial decision-making. Why, when and how one can collect and organize data, how to model the data to obtain information and use this knowledge to make informed decisions
This course may not be repeated for credit.This course will be offered next in Spring 2013.
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 281 or equivalent, Statistics 217, Computer Science 203 and Business and Environment 291.
Sections
LEC 1 MW 09:30 - 10:45 SH 215 Janice Eliasson, Cameron Welsh LEC 2 MW 11:00 - 12:15 SH 215 Janice Eliasson LEC 3 MW 12:30 - 13:45 SH 215 Janice Eliasson LEC 4 MW 14:00 - 15:15 SH 215 Janice Eliasson, Cameron Welsh LEC 5 TR 09:30 - 10:45 SH 215 Cameron Welsh LEC 6 TR 11:00 - 12:15 SH 215 Cameron Welsh LEC 7 TR 12:30 - 13:45 SH 215 Cameron Welsh TUT 1 F 15:30 - 18:20 MFH 160 Janice Eliasson TUT 2 F 15:30 - 18:20 MFH 162 Janice Eliasson TUT 3 F 15:30 - 18:20 MFH 164 Janice Eliasson
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