Identification of data requirements for analytical decision-making. Case studies used throughout to develop insight for decision making while dealing with incomplete and ambiguous data. Introduction to VBA-enabled spreadsheet modelling to design and implement optimization models without/with uncertainty as well as advanced Monte Carlo simulation.
This course may not be repeated for credit.
Prerequisite(s)
- Admission to the Haskayne School of Business and Management Studies 391.
Sections
| LEC 1 | R 18:00 - 20:45
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| LEC 2 | F 11:00 - 13:45
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| TUT 1 | R 17:00 - 17:50
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| TUT 2 | F 10:00 - 10:50
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This course will be offered next in
Fall 2023.