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11 - 20 of 27 results for: EARTHSYS

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EARTHSYS 144: Fundamentals of Geographic Information Science (GIS) (EESS 164)

Survey of geographic information including maps, satellite imagery, and census data, approaches to spatial data, and tools for integrating and examining spatially-explicit data. Emphasis is on fundamental concepts of geographic information science and associated technologies. Topics include geographic data structure, cartography, remotely sensed data, statistical analysis of geographic data, spatial analysis, map design, and geographic information system software. Computer lab assignments.
Terms: Aut | Units: 3-4 | UG Reqs: GER: DB-NatSci
Instructors: Eichelberger, B. (PI) ; Thomas, N. (PI) ; Firme, R. (TA) ; Lin, H. (TA)

EARTHSYS 177C: Specialized Writing and Reporting: Environmental Journalism (COMM 177C, COMM 277C, EARTHSYS 277C, ENVRES 277C)

(Graduate students register for COMM / ENVRES 277C.) Practical, collaborative, writing-intensive course in science-based environmental journalism. Science and journalism students learn how to identify and write engaging stories about environmental issues and science, how to assess the quality and relevance of environmental news, how to cover the environment and science beats effectively, and how to build bridges between the worlds of journalism and science. Limited enrollment: preference to journalism students and students in the natural and environmental sciences. Prerequisite: COMM 104, ENVRES 200 or consent of instructor. Admissions by application only, available from thayden@stanford.edu.
Terms: Aut | Units: 5
Instructors: Hayden, T. (PI)

EARTHSYS 180B: Principles and Practices of Sustainable Agriculture (EESS 280B)

Field-based training in ecologically sound agricultural practices at the Stanford Community Farm. Weekly lessons, field work, and group projects. Field trips to educational farms in the area. Topics include: soils, composting, irrigation techniques, IPM, basic plant anatomy and physiology, weeds, greenhouse management, and marketing.
Terms: Aut, Spr | Units: 3-4 | UG Reqs: WAY-SMA | Repeatable 3 times (up to 12 units total)

EARTHSYS 181: Urban Agriculture in the Developing World (EARTHSYS 281, EESS 181, EESS 281, URBANST 181)

In this advanced undergraduate course, students will learn about some of the key social and environmental challenges faced by cities in the developing world, and the current and potential role that urban agriculture plays in meeting (or exacerbating) those challenges. This is a service-learning course, and student teams will have the opportunity to partner with real partner organizations in a major developing world city to define and execute a project focused on urban development, and the current or potential role of urban agriculture. Service-learning projects will employ primarily the student's analytical skills such as synthesis of existing research findings, interdisciplinary experimental design, quantitative data analysis and visualization, GIS, and qualitative data collection through interviews and textual analysis. Previous coursework in the aforementioned analytical skills is preferred, but not required. Admission is by application.
Terms: Aut | Units: 3-4
Instructors: Gibbs-Plessl, T. (PI) ; Matson, P. (PI) ; Rymer, B. (TA)

EARTHSYS 185: Feeding Nine Billion

Feeding a growing and wealthier population is a huge task, and one with implications for many aspects of society and the environment. There are many tough choices to be made- on fertilizers, groundwater pumping, pesticide use, organics, genetic modification, etc. Unfortunately, many people form strong opinions about these issues before understanding some of the basics of how food is grown, such as how most farmers currently manage their fields, and their reasons for doing so. The goal of this class is to present an overview of global agriculture, and the tradeoffs involved with different practices. Students will develop two key knowledge bases: basic principles of crop ecology and agronomy, and familiarity with the scale of the global food system. The last few weeks of the course will be devoted to building on this knowledge base to evaluate different future directions for agriculture.
Terms: Aut | Units: 4-5 | UG Reqs: WAY-AQR
Instructors: Lobell, D. (PI) ; Billimoria, S. (TA) ; Deloso, M. (TA)

EARTHSYS 187: FEED the Change: Redesigning Food Systems

Introductory course in design thinking and food system analysis offered through the FEED Collaborative. Targeted at upper-class undergraduates, this course provides a series of diverse, primarily hands-on experiences (design projects, field work, and storytelling) in which students both learn and apply the process of human-centered design to projects of real consequence in the food system. Students will also develop knowledge and basic tools for working effectively in teams and for analyzing complex systems. The goal of this course is to develop the creative confidence of students and, in turn, to work collaboratively with thought leaders in the local food system to design innovative solutions to the challenges they face. Admission is by application: http://feedcollaborative.org/classes/.
Terms: Aut | Units: 2-3 | UG Reqs: WAY-CE
Instructors: Dunn, D. (PI) ; Rothe, M. (PI) ; Mensing, H. (TA)

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
Instructors: Hayden, T. (PI) ; Zabel, C. (TA)

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
Instructors: Kennedy, J. (PI) ; Nevle, R. (PI) ; Freeman, P. (TA)

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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