Description
Management science approaches in modeling systems for decision-making under certainty and uncertainty. Linear programming, network flows problems and applications, discrete optimization models, heuristics and metaheuristics, dynamic programming, nonlinear programming, simulation. Links between theory and application will be illustrated through case studies and applied modeling.
Prerequisites
- Prerequisite(s): permission of the School.
Conditions and arrangements
- Precludes additional credit for Precludes additional credit for BUSI 6703.
- Prerequisite(s): permission of the School.
- Also offered at the undergraduate level, with different requirements, as BUSI 5383 , for which additional credit is precluded.
Reference text in its original language
Management science approaches in modeling systems for decision-making under certainty and uncertainty. Linear programming, network flows problems and applications, discrete optimization models, heuristics and metaheuristics, dynamic programming, nonlinear programming, simulation. Links between theory and application will be illustrated through case studies and applied modeling.
- Prerequisite(s): permission of the School.
- Precludes additional credit for Precludes additional credit for BUSI 6703.
- Also offered at the undergraduate level, with different requirements, as BUSI 5383 , for which additional credit is precluded.
Sources and references
Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.
Source reference : https://calendar.carleton.ca/grad/courses/BUSI/