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21 - 30 of 41 results for: EARTHSYS ; Currently searching autumn courses. You can expand your search to include all quarters

EARTHSYS 197: Directed Individual Study in Earth Systems

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

EARTHSYS 199: 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) ; Mordecai, E. (PI) ; Naylor, R. (PI) ; Orr, F. (PI) ; Palumbi, S. (PI) ; Payne, J. (PI) ; Peay, K. (PI) ; Pringle, J. (PI) ; Root, T. (PI) ; Schneider, S. (PI) ; Schoolnik, G. (PI) ; Seto, K. (PI) ; Somero, G. (PI) ; Sperling, E. (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 210A: Senior Capstone and Reflection

Terms: Aut | Units: 3

EARTHSYS 212: Human Society and Environmental Change (EARTHSYS 112, ESS 112, HISTORY 103D)

Interdisciplinary approaches to understanding human-environment interactions with a focus on economics, policy, culture, history, and the role of the state. Prerequisite: ECON 1.
Terms: Aut | Units: 4

EARTHSYS 227: Decision Science for Environmental Threats (ESS 227)

Decision science is the study of how people make decisions. It aims to describe these processes in ways that will help people make better or more well-informed decisions. It is an interdisciplinary field that draws upon psychology, economics, political science, and management, among other disciplines. It is being used in a number of domain areas and for a variety of applications, including managing freshwater resources, designing decision support tools to aid in coastal adaptation to sea-level rise, and creating `nudges¿ to enhance energy efficiency behaviors. This course covers behavioral theories of probabilistic inference, intuitive prediction, preference, and decision making. Topics include heuristics and biases, risk perceptions and attitudes, strategies for combining different sources of information and dealing with conflicting objectives, and the roles of group and emotional processes in decision making. This course will introduce students to foundational theories of decision science, and will involve applying these theories to understand decisions about environmental threats.
Terms: Aut | Units: 3-5

EARTHSYS 239: Ecosystem Services: Frontiers in the Science of Valuing Nature (BIO 138, BIO 238, EARTHSYS 139)

This advanced course explores the science of valuing nature, beginning with its historical origins, and then its recent development in natural (especially ecological), economic, psychological, and other social sciences. We will use the ecosystem services framework (characterizing benefits from ecosystems to people) to define the state of knowledge, core methods of analysis, and research frontiers, such as at the interface with biodiversity, resilience, human health, and human development. Intended for diverse students, with a focus on research and real-world cases. To apply, please email the instructor (gdaily@stanford.edu) with a brief description of your background and research interests.
Terms: Aut | Units: 3
Instructors: Daily, G. (PI)

EARTHSYS 247: Ecosystem Ecology and Biogeochemistry (BIO 147, BIO 240, EARTHSYS 147)

An introduction to ecosystem ecology and terrestrial biogeochemistry. This course will focus on the dynamics of carbon and other biologically essential elements in the Earth System, on spatial scales from local to global. Prerequisites: Biology 117, Earth Systems 111, or graduate standing.
Terms: Aut | Units: 3
Instructors: Vitousek, P. (PI)

EARTHSYS 250: Directed Research

Independent research. Student develops own project with faculty supervision. May be repeated for credit.
Terms: Aut, Win, Spr, Sum | Units: 1-9 | Repeatable for credit
Instructors: Ardoin, N. (PI) ; Arrigo, K. (PI) ; Asner, G. (PI) ; Benson, S. (PI) ; Block, B. (PI) ; Boggs, C. (PI) ; Boucher, A. (PI) ; Cain, B. (PI) ; Caldwell, M. (PI) ; Carlisle, L. (PI) ; Casciotti, K. (PI) ; Chamberlain, P. (PI) ; Curran, L. (PI) ; Daily, G. (PI) ; Davis, J. (PI) ; Denny, M. (PI) ; Diffenbaugh, N. (PI) ; Dirzo, R. (PI) ; Dunbar, R. (PI) ; Durham, W. (PI) ; Egger, A. (PI) ; Ehrlich, P. (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) ; Gardner, C. (PI) ; Gerritsen, M. (PI) ; Gilly, W. (PI) ; Gordon, D. (PI) ; Gorelick, S. (PI) ; Goulder, L. (PI) ; Hadly, E. (PI) ; Hayden, T. (PI) ; Hilley, G. (PI) ; Ingle, J. (PI) ; Jamieson, A. (PI) ; Jones, J. (PI) ; Kennedy, D. (PI) ; Kennedy, D. (PI) ; Kennedy, J. (PI) ; Knight, R. (PI) ; Konings, A. (PI) ; Koseff, J. (PI) ; Kovscek, A. (PI) ; Lambin, E. (PI) ; Litvak, L. (PI) ; Lobell, D. (PI) ; Long, S. (PI) ; Lynham, J. (PI) ; Masters, G. (PI) ; Matson, P. (PI) ; Micheli, F. (PI) ; Milroy, C. (PI) ; Monismith, S. (PI) ; Mooney, H. (PI) ; Naylor, R. (PI) ; Nevle, R. (PI) ; Orr, F. (PI) ; Palumbi, S. (PI) ; Payne, J. (PI) ; Peay, K. (PI) ; Phillips, K. (PI) ; Rajaratnam, B. (PI) ; Root, T. (PI) ; Rothe, M. (PI) ; Schneider, S. (PI) ; Schoolnik, G. (PI) ; Seto, K. (PI) ; Siegel, R. (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) ; Weyant, J. (PI) ; Wiederkehr, S. (PI) ; Wilber, C. (PI) ; Woodward, J. (PI) ; Zoback, M. (PI)

EARTHSYS 260: Internship

Terms: Aut, Win, Spr, Sum | Units: 1 | Repeatable for credit
Instructors: Hoagland, S. (PI)

EARTHSYS 262: Data for Sustainable Development (CS 325B, EARTHSYS 162)

The sustainable development goals (SDGs) encompass many important aspects of human and ecosystem well-being that are traditionally difficult to measure. This project-based course will focus on ways to use inexpensive, unconventional data streams to measure outcomes relevant to SDGs, including poverty, hunger, health, governance, and economic activity. Students will apply machine learning techniques to various projects outlined at the beginning of the quarter. The main learning goals are to gain experience conducting and communicating original research. Prior knowledge of machine learning techniques, such as from CS 221, CS 229, CS 231N, STATS 202, or STATS 216 is required. Open to both undergraduate and graduate students. Enrollment limited to 24. Students must apply for the class by filling out the form at https://goo.gl/forms/9LSZF7lPkHadix5D3. A permission code will be given to admitted students to register for the class.
Terms: Aut | Units: 3-5 | Repeatable for credit
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