In this course, students learn quantitative methods for energy system analysis that can be applied at the interface between technology, economics, and policy. The first half of the course introduces engineering methods for analyzing risk and uncertainty, starting with event trees and probabilistic risk assessment. Systems-level methods are then discussed, with a focus on quantitative uncertainty analysis, decision analysis, and optimization. The course then introduces multi-criteria approaches that decision makers use when evaluating energy systems. Society values a range of factors that we will discuss and integrate into our analyses, such as reliability and resilience of energy systems; economic and financing risks; and environmental and health risks.