Decisions and Risk Analysis

Catalog description

Provides practical working knowledge of various tools and approaches for effective decision-making, which are broadly applicable across systems engineering, other engineering fields, operations research and management science. Covers formulating and solving decision problems using methods such as linear programming, goal programming, data envelopment analysis, regression analysis and simulation. Decision problems are primarily solved using spreadsheet models. Requirement(s): Background knowledge equivalent to MTH 2401 Probability and Statistics