Teaching

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)

-- Justin Williams (EHE, applied optimization)

-- Dennice Gayme (MAE; power systems)

-- Cila Herman (M+AE; energy technology)

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

-- Deborah Bleviss (SAIS; policy)

-- David Jhirard (SAIS; policy)

-- Joe Harrington (Economics; industrial organization, game theory)

-- Daniel Robinson (AM+S; optimization)

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

Engineering Microeconomics - EN.570.334

Introduction to the principles of engineering economics and microeconomics (demand and production theory) and their uses in engineering decision making using a calculus-based approach.

Economic Foundations For Public Decision Making - EN.570.493

This course includes an exposition of intermediate level price theory, combined with a survey of applications to the analysis of public sector decisions. Theoretical topics include demand, supply, the function and behavior of the market, and introductory welfare economics.

Mathematical Foundations For Public Decision Making - EN.570.495

A collection of optimization techniques that are frequently used in both government and private sector public decision making is presented. Emphasis is on creating and solving practical models. We cover linear programming, integer and mixed-integer programming, and multiobjective programming.

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

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.

Public systems and Economics Seminar - EN.570.873