JHU Graduate Curricula in Energy & Environmental Systems

Within our department, MS, MA, MSE, and PhD students in policy & systems start by studying three fundamental sets of analytical tools: optimization, economics, and risk analysis/statistics. The student can then pursue her or his own interests by taking courses in environmental processes and engineering (from EHE and Civil Engineering); advanced courses in systems and economic methodologies (from EHE, Economics, and Applied Math); policy (from the Institute of Policy Studies and the Energy, Resources and Environment Program of the School of Advanced International Studies); and energy engineering (from Mechanical & Aerospace Engineering, Materials Science & Engineering, or Biomolecular & Chemical Engineering). Master's students can finish a coursework-only program in a year, or extend their studies to include research.

For further information on Dr. Hobbs' courses, see below.

Visit the websites of other faculty for information on their relevant offerings:

-- Hugh Ellis (EHE; air pollution, stochastic optimization)

-- Dennice Gayme (MAE; power systems)

-- Jonah Erlenbacher (MS+E; energy technology) of MSE

-- Johannes Urpelainen (SAIS, environment&energy policy)

-- Sarah Jordaan (SAIS, Climate Policy)

--Enrqiue Mallada (ECE, network dynamics)

--Sauleh Siddiqui (CE, optimization, energy&health system)

--Lauren Gardner (CE, Transport Systems)

JHU Environment, Energy, Sustainability & Health Institute

E2SHI, which Dr. Hobbs directs, hosts a website where you can search for environment, energy, and related courses throughout the University, including the Schools of Public Health, Arts & Sciences, Engineering, and Business. That website also lists seminars on E2SHI-related topics, as well as current employment opportunities for students.

Courses Taught by B.F. Hobbs

-- Energy Policy & Planning Models - EN.570.607

Methods for optimizing operation and design of energy systems and for analyzing market impacts of energy and environmental policies are reviewed, emphasizing both theory and solution of actual models. Review of linear and nonlinear programming and complementarity methods for market simulation. We emphasize formulation and computing of models actually used by power utilities and policy analysts.

-- Risk and Decision Analysis - EN.570.497/697

This class introduces the decision analysis approach to making decisions under risk and uncertainty. Topics covered include decision trees, Bayes law, value of information analysis, elicitation of subjective probabilities, multiattribute utility, and their applications to environmental and energy problems. Textbook: R.T. Clemen, Making Hard Decisions, 2014. Recommended Course Background: introductory statistics and probability.

-- Environmental Science & Management Seminar - EN.570.873