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71 - 80 of 126 results for: EARTHSYS

EARTHSYS 197: Directed Individual Study in Earth Systems

Under supervision of an Earth Systems faculty member on a subject of mutual interest.
Terms: Spr, Sum | Units: 1-9 | Repeatable for credit
Instructors: Kennedy, J. (PI)

EARTHSYS 199: Honors Program in Earth Systems

Honors Program in Earth Systems
Terms: Aut, Win, Spr, Sum | Units: 1-9 | Repeatable for credit
Instructors: Ardoin, N. (PI) ; Arrigo, K. (PI) ; Asner, G. (PI) ; Block, B. (PI) ; Boggs, C. (PI) ; Boucher, A. (PI) ; Caldwell, M. (PI) ; Casciotti, K. (PI) ; Chamberlain, P. (PI) ; Daily, G. (PI) ; Davis, J. (PI) ; Denny, M. (PI) ; Diffenbaugh, N. (PI) ; Dirzo, R. (PI) ; Dunbar, R. (PI) ; Dunn, D. (PI) ; Durham, W. (PI) ; Egger, A. (PI) ; Ernst, W. (PI) ; Falcon, W. (PI) ; Fendorf, S. (PI) ; Field, C. (PI) ; Francis, C. (PI) ; Frank, Z. (PI) ; Freyberg, D. (PI) ; Fukami, T. (PI) ; Gerritsen, M. (PI) ; Gilly, W. (PI) ; Gordon, D. (PI) ; Gorelick, S. (PI) ; Goulder, L. (PI) ; Hadly, E. (PI) ; Hayden, T. (PI) ; Hecker, S. (PI) ; Hilley, G. (PI) ; Ingle, J. (PI) ; Kennedy, D. (PI) ; Kennedy, D. (PI) ; Kennedy, J. (PI) ; Knight, R. (PI) ; Koseff, J. (PI) ; Kovscek, A. (PI) ; Lambin, E. (PI) ; Litvak, L. (PI) ; Lobell, D. (PI) ; Long, S. (PI) ; Masters, G. (PI) ; Matson, P. (PI) ; Micheli, F. (PI) ; Monismith, S. (PI) ; Mooney, H. (PI) ; Naylor, R. (PI) ; Orr, F. (PI) ; Palumbi, S. (PI) ; Payne, J. (PI) ; Pringle, J. (PI) ; Rajaratnam, B. (PI) ; Root, T. (PI) ; Schneider, S. (PI) ; Schoolnik, G. (PI) ; Seto, K. (PI) ; Somero, G. (PI) ; Sweeney, J. (PI) ; Switzer, P. (PI) ; Tabazadeh, A. (PI) ; Thomas, L. (PI) ; Thompson, B. (PI) ; Victor, D. (PI) ; Vitousek, P. (PI) ; Walbot, V. (PI) ; Watanabe, J. (PI) ; Welander, P. (PI) ; Weyant, J. (PI) ; Wiederkehr, S. (PI) ; Woodward, J. (PI) ; Zoback, M. (PI)

EARTHSYS 200: Sustaining Action: Research, Analysis and Writing for the Public (ENVRES 200)

Preference to graduate students and senior undergraduates in environmental, natural and social sciences, engineering, journalism. Students help produce and publish SAGE, an eco advice column, by choosing, researching, and answering questions about sustainable living submitted by Stanford alumni and the general public. Prerequisite: admission by application, available from instructor, thayden@stanford.edu. (Meets Earth Systems WIM requirement).
Terms: Aut, Spr | Units: 3 | UG Reqs: WAY-CE

EARTHSYS 205: Navigating Wicked Marine Problems

Commercial shipping is essential to international trade, consumer goods and the global economy, but can impact the marine environment. Vessel traffic schemes often overlap with important marine areas, creating unintended pressures and impacts to marine ecosystems, including whales. Ship strikes are a threat to endangered whales, and ship noise can affect important mating and feeding behavior. In this course, the issue of whale and vessel interactions will be used as a case study to help students identify threats, pressures, and policy responses of a complex, or "wicked," ocean-based problem. In project teams, students will complete a Pressure State Response analysis of the problem, with the goal of developing practical and professional skills necessary to participate in complex marine planning and decision-making in their post-graduate careers. Students will gain an opportunity to network with experts, scientists and professionals who have experience on the primary themes of the course. The deadline for enrollment for this course is Feb. 23. Contact lhgood@stanford.edu with interest.
Instructors: Erickson, A. (PI)

EARTHSYS 206: World Food Economy (EARTHSYS 106, ECON 106, ECON 206, EESS 106, EESS 206)

The economics of food production, consumption, and trade. The micro- and macro- determinants of food supply and demand, including the interrelationship among food, income, population, and public-sector decision making. Emphasis on the role of agriculture in poverty alleviation, economic development, and environmental outcomes. (graduate students enroll in 206)

EARTHSYS 207: Spanish in Science/Science in Spanish (BIO 208, LATINAM 207)

For graduate and undergraduate students interested in the natural sciences and the Spanish language. Students will acquire the ability to communicate in Spanish using scientific language and will enhance their ability to read scientific literature written in Spanish. Emphasis on the development of science in Spanish-speaking countries or regions. Course is conducted in Spanish and intended for students pursuing degrees in the sciences, particularly disciplines such as ecology, environmental science, sustainability, resource management, anthropology, and archeology.
Terms: Spr | Units: 2
Instructors: Dirzo, R. (PI)

EARTHSYS 210A: Senior Seminar

Interdisciplinary problem analysis and oral communication. Students present results of their Earth Systems internship or research project. Students participate in a research or service learning group project focused on a local environmental issue. Service Learning Course (certified by Haas Center). Prerequisite: EARTHSYS 260.
Terms: Aut | Units: 3

EARTHSYS 210B: Senior Seminar

Interdisciplinary problem analysis and oral communication. Students present results of their Earth Systems internship or research project. Students participate in a research or service learning group project focused on a local environmental issue. Service Learning Course (certified by Haas Center). Prerequisite: EARTHSYS 260.
Terms: Spr | Units: 3

EARTHSYS 210C: Senior Seminar

Interdisciplinary problem analysis and oral communication. Students present results of their Earth Systems internship or research project. Students participate in a research or service learning group project focused on a local environmental issue. Service Learning Course (certified by Haas Center). Prerequisite: EARTHSYS 260.
Terms: Spr | Units: 3

EARTHSYS 211: Fundamentals of Modeling (EESS 211)

Simulation models are a powerful tool for environmental research, if used properly. The major concepts and techniques for building and evaluating models. Topics include model calibration, model selection, uncertainty and sensitivity analysis, and Monte Carlo and bootstrap methods. Emphasis is on gaining hands-on experience using the R programming language. Prerequisite: Basic knowledge of statistics.
Terms: Aut | Units: 3-5
Instructors: Lobell, D. (PI)
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