Search: Energy and Resources Group, Natural Sciences

Quantitative methods for energy and resource analysis. Topics include linear algebra, differential equations, statistical methods, chemical equilibrium theory, and thermodynamics

Modeling methods in ecology and meteorology; stability analysis; effects of anthropogenic stress on natural systems.

This course will review the background mathematical and statistical tools necessary for students interested in pursuing ecological and environmental modeling. Topics include linear algebra; difference equation, ordinary differential equation, and partial differential equation models; stochastic processes; parameter estimation; and a number of statistical techniques. This course will be recommended as a prerequisite for advanced modeling courses in Integrative Biology, Energy and Resources Group, and Environmental Science, Policy, and Management.

Fundamentals of exploratory data analysis and hypothesis testing for environmental scientists, with emphasis on characterizing and evaluating uncertainty. Introduction to selected topics relevant to environmental analysis, including error propagation, design of experiments, and Monte Carlo methods. Microcomputer laboratories, using real environmental data, explore concepts and techniques presented in lecture.