141 - 150 of 556 results for: interdisciplinary

This course is an introduction to the interdisciplinary domain of urban systems engineering. It will provide you with a high-level understanding of the motivation for studying sustainable cities and urban systems, systems-based modeling approaches and the social actor theories embedded in the urban sustainability decision making process. Coursework will be comprised of three group mini-projects corresponding to course modules.

This course provides students from various backgrounds with knowledge of the principles and quantitative methods of decision analysis and policy analysis to tackle interdisciplinary questions in the context of sustainable energy systems. We consider engineering analysis, decision analysis and economic analysis in the formulation of answers to address energy system problems. We will use methods such as life-cycle assessment, benefit-cost and cost-effectiveness analysis, microeconomics, distributional metrics, risk analysis methods, sensitivity and uncertainty analysis, multi-attribute utility theory, and simulation and optimization. The integration of uncertainty into formal methods is a fundamental component of the course.

Interdisciplinary seminar with talks by researchers and practitioners in the fields of atmospheric science and renewable energy engineering. Addresses the causes of climate, air pollution, and weather problems and methods of addressing these problems through renewable and efficient energy systems. May be repeated for credit.

This interdisciplinary course integrates the legal, scientific, and policy dimensions of how we characterize and manage resource use and allocation along the California coast. We will use this geographic setting as the vehicle for exploring more generally how agencies, legislatures, and courts resolve resource-use conflicts and the role that scientific information and uncertainty play in the process. Our focus will be on the land-sea interface as we explore contemporary coastal land-use and marine resource decision-making, including coastal pollution, public health, ecosystem management; public access; private development; local community and state infrastructure; natural systems and significant threats; resource extraction; and conservation, mitigation and restoration. Students will learn the fundamental physics, chemistry, and biology of the coastal zone, tools for exploring data collected in the coastal ocean, and the institutional framework that shapes public and private decisions affecting coastal resources. There will be 3 to 4 written assignments addressing policy and science issues during the quarter, as well as a take-home final assignment. Special Instructions: In-class work and discussion is often done in interdisciplinary teams of students from the School of Law, the School of Engineering, the School of Humanities and Sciences, and the Doerr School of Sustainability. Students are expected to participate in class discussion and field trips. Elements used in grading: Participation, including class session and field trip attendance, writing and quantitative assignments. Cross-listed with Civil & Environmental Engineering ( CEE 175A/275A) and Law ( LAW 2510). Open to graduate students and to advanced undergraduates with instructor permission. Enrollment limited.

Interdisciplinary exploration of current energy challenges and opportunities in the context of development, equity and sustainability objectives. Talks are presented by faculty, visitors, and students and include relevant technology, policy, and systems perspectives. More information about the seminar can be found on the website https://energyseminar.stanford.edu/May be repeated for credit.

Autonomous vehicles have been a fast-growing area of interest for research, development, and commercialization. This interdisciplinary research-based class explores the design and development of autonomous vehicles. Research teams will study the interaction of the human driver and autonomous driving system, particularly in dangerous situations of autonomous systems failures. Collaborate with national and international experts. Independent and team projects will contribute to ongoing research. May be repeated for credit.

The built environment and the energy systems that meet its requirements is a product of decisions forged in a context of historical inequity produced by cultural, political, and economic forces expressed through decisions at individual and institutional levels. This interdisciplinary course will examine the imprint of systemic racial inequity in the U.S. that has produced a clean energy divide and a heritage of environmental injustice. Drawing on current events, students will also explore contemporary strategies that center equity in the quest for rapid technology transitions in the energy sector to address climate change, public health, national security, and community resilience. Prerequisites: By permission of the instructor. Preferable to have completed Understand Energy ( CEE 107A/207A/ EarthSys 103/ CEE 107S/207S) or a similar course at another institution if a graduate student.

Graduate students will present their ongoing research to an audience of faculty and graduate students with a diversity of disciplinary perspectives regarding sustainable energy.

Open to seniors and graduate students interested in the creation of new ventures and entrepreneurship in engineering and science intensive industries such as chemical, energy, materials, bioengineering, environmental, clean-tech, pharmaceuticals, medical, and biotechnology. Exploration of the dynamics, complexity, and challenges that define creating new ventures, particularly in industries that require long development times, large investments, integration across a wide range of technical and non-technical disciplines, and the creation and protection of intellectual property. Covers business basics, opportunity viability, creating start-ups, entrepreneurial leadership, and entrepreneurship as a career. Teaching methods include lectures, case studies, guest speakers, and individual and team projects.