View source for DCSN205 B-LG2: Decision making

{{CourseLearningGoal
|Description=Students will understand how business decisions are reached, what tradeoffs are made, and how outcomes depend on the underlying data.  Students will gain understanding of the concepts and application of key analytical-quantitative modelling tools: linear programming, integer linear programming, non-linear programming, multi-objective decision analysis, decision trees and other decision analysis tools, queuing and service models, and Monte Carlo simulation.  Through examples and application exercises, students will recognize, describe, and apply analytical-quantitative approaches to business and managerial decision making situations. They will also demonstrate competency in the application of these analytical-quantitative approaches. Students will demonstrate familiarity with modelling, linear and nonlinear solving, decision tree, and simulation software tools.  Performance will be assessed by problem solving assignments, exams, and a lab test.
|FulfillsBusinessLearningGoal=BLG2: Decision Making
}}