970:620 – Energy Sustainability and Policy
Familiarize students with the major issues associated with sustainable energy policy and planning and develop their abilities to conduct and assess energy related studies and their economic, environmental and social implications. The approach is to learn and think about energy sustainability in an interdisciplinary manner. Although this course is intended for Bloustein planning and policy students and students in the Nanotechnology for Clean Energy NSF IGERT and Sustainable Fuels Solutions for the 21st Century NSF IGERT, all graduate students and select undergraduate students interested in energy sustainability are welcome.
970:672 – Energy Policy and Planning
Examination of energy policy and planning through a timely critical/practical approach designed to provide insights into the factors that shape energy policy; includes an opportunity to contribute directly to the development of New Jersey’s energy master plan. Major topic areas include: the nature and operation of energy markets; energy planning; and the components of a holistic energy policy.
090:285 and 762:497 – The Science, Technology and Policy of Global Climate Change
Global climate change is a major international concern involving complex issues in science, technology, economics and public policy. This interdisciplinary seminar brings together these disciplines to focus on the major questions related to global climate change. The goal is to penetrate the major public policy debates in order to assess the issues critically. The seminar will start with the science of climate change, its basis and uncertainties then proceed to investigate various technological solutions, such as energy efficiency, renewable energy, nuclear power, biomass, forestation, and geo-engineering options. Next, we will study various economic proposals including cap-and-trade, carbon taxes, research and development subsidies, and command and control regulation. Finally, we will integrate what we have learned into analyzing national and international policy.
970:670 – Energy Engineering, Economics and Policy
This joint Rutgers-Princeton course explores in-depth several important energy topics that integrate engineering, economics, and policy. It is designed for doctoral students in the natural sciences, engineering, and social sciences that have been exposed to a wide-range of energy topics, perhaps as part of a National Science Foundation Integrative Graduate Education and Research Traineeship Program (IGERT), and are interested in investigating further some of those topics. After reviewing important analytical tools used in engineering, economic and policy evaluations, the course covers the engineering, economics and policy of the electric power grid and global energy integrated energy assessment modeling. Students will engage in computer modeling to understand and explore future global energy and environmental problems.
335:502 – Integrated Energy Challenges and Opportunities (II)
This seminar investigates the scientific, technological, economic and public policy issues associated with biofuels. Although it is geared towards fellows in the National Science Foundation Sustainable and Renewable Fuels for the 21st Century IGERT, it is open to qualified students. Students will work in groups to present and connect their research to the IGERT’s research thrust areas: 1) development and optimization of bio fuel alternatives; 2) chemistry for improved synfuel options and engineering systems for energy generation and conservation; 3) sustainability and ecological impacts; and 4) policy and infrastructure logistics for efficient fuel technology deployment.
762:205 – Basic Statistical Methods
This is a basic course in statistics aimed at laying the foundations for students to develop abilities to read the professional literature in public health and urban studies with an appreciation for both its substantive contribution and use of statistical tools, and to apply basic statistical techniques in the course of higher studies or professional work. Students are introduced to the basic concepts of data collection, organization, and description. In addition, students learn the fundamental concepts of probability and sampling theory that provide the tools for inferring population characteristics based on small amounts of data.