printer friendly pageEARTHSYS 141: Remote Sensing of the Oceans (EARTHSYS 241, ESS 141, ESS 241, GEOPHYS 141)
How to observe and interpret physical and biological changes in the oceans using satellite technologies. Topics: principles of satellite remote sensing, classes of satellite remote sensors, converting radiometric data into biological and physical quantities, sensor calibration and validation, interpreting large-scale oceanographic features.
Terms: Win
| Units: 3-4
| UG Reqs: GER: DB-NatSci, WAY-AQR
Instructors:
Arrigo, K. (PI)
EARTHSYS 142: Remote Sensing of Land (EARTHSYS 242, ESS 162, ESS 262)
The use of satellite remote sensing to monitor land use and land cover, with emphasis on terrestrial changes. Topics include pre-processing data, biophysical properties of vegetation observable by satellite, accuracy assessment of maps derived from remote sensing, and methodologies to detect changes such as urbanization, deforestation, vegetation health, and wildfires.
Terms: Spr
| Units: 3
| UG Reqs: WAY-AQR
EARTHSYS 143H: Quantitative Methods for Marine Ecology and Conservation (BIO 143, BIO 243, CEE 164, CEE 264H, EARTHSYS 243H, OCEANS 143)
NOTE: This course will be taught in-person on main campus, in hybrid format with Zoom options. The goal of this course is to learn the foundations of ecological modeling with a specific (but not exclusive) focus on marine conservation and sustainable exploitation of renewable resources. Students will be introduced to a range of methods - from basic to advanced - to characterize population structure, conduct demographic analyses, estimate extinction risk, identify temporal trends and spatial patterns, quantify the effect of environmental determinants and anthropogenic pressures on the dynamics of marine populations, describe the potential for adaptation to climate change. This course will emphasize learning by doing, and will rely heavily on practical computer laboratories, in R and/or Phyton, based on data from our own research activities or peer reviewed publications. Students with a background knowledge of statistics, programming and calculus will be most welcome. Formally
BIOHOPK 143H and 243H.
Terms: Win
| Units: 4
| UG Reqs: WAY-AQR, WAY-FR
Instructors:
De Leo, G. (PI)
;
Friedman, K. (TA)
EARTHSYS 144: Fundamentals of Geographic Information Science (GIS) (ESS 164)
Everything is somewhere, and that somewhere matters." The rapid growth and maturity of spatial data technologies over the past decade represent a paradigm shift in the applied use of location data from high-level overviews of administrative interests, to highly personalized location-based services that place the individual at the center of the map, at all times. The use of spatial data and related technology continues to grow in fields ranging from environmental sciences to epidemiology to market prediction. This course will present an overview of current approaches to the use of spatial data and its creation, capture, management, analysis and presentation, in a research context. Topics will include modeling of geographic objects and associated data, modeling of geographic space and the conceptual foundations of "spatial thinking," field data collection, basic spatial statistical analysis, remote sensing & the use of satellite-based imagery, "Big Data" and machine learning approaches t
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Everything is somewhere, and that somewhere matters." The rapid growth and maturity of spatial data technologies over the past decade represent a paradigm shift in the applied use of location data from high-level overviews of administrative interests, to highly personalized location-based services that place the individual at the center of the map, at all times. The use of spatial data and related technology continues to grow in fields ranging from environmental sciences to epidemiology to market prediction. This course will present an overview of current approaches to the use of spatial data and its creation, capture, management, analysis and presentation, in a research context. Topics will include modeling of geographic objects and associated data, modeling of geographic space and the conceptual foundations of "spatial thinking," field data collection, basic spatial statistical analysis, remote sensing & the use of satellite-based imagery, "Big Data" and machine learning approaches to spatial data, and cartographic design and presentation including the use of web-based "Storymap" platforms. The course will consist of weekly lectures, guest speakers, computer lab assignments, midterm and final exams, as well as an individual final project requirement. This course must be taken for a minimum of 3 units and a letter grade to be eligible for Ways credit.
Terms: Aut, Spr
| Units: 3-4
| UG Reqs: GER: DB-NatSci, WAY-AQR
Instructors:
Maples, S. (PI)
;
Moanga, D. (PI)
;
Friedman, K. (TA)
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Instructors:
Maples, S. (PI)
;
Moanga, D. (PI)
;
Friedman, K. (TA)
;
Molbak, L. (TA)
;
Spencer, R. (TA)
;
Zimmerman, M. (TA)
EARTHSYS 146A: Atmosphere, Ocean, and Climate Dynamics: The Atmospheric Circulation (CEE 161I, CEE 261I, ESS 246A)
Introduction to the physics governing the circulation of the atmosphere and ocean and their control on climate with emphasis on the atmospheric circulation. Topics include the global energy balance, the greenhouse effect, the vertical and meridional structure of the atmosphere, dry and moist convection, the equations of motion for the atmosphere and ocean, including the effects of rotation, and the poleward transport of heat by the large-scale atmospheric circulation and storm systems. Prerequisites:
MATH 51 or CME100 and
PHYSICS 41.
Terms: Aut
| Units: 3
Instructors:
O'Neill, M. (PI)
;
Alvarado-Anderson, C. (TA)
;
Balakrishna, A. (TA)
;
Regibeau-Rockett, L. (TA)
EARTHSYS 149: Wild Writing (EARTHSYS 249)
What is the wild? What is our relationship to nature, and why does this relationship matter? We will interrogate these questions through the work of influential, diverse, primarily American environmental writers who have given voice to many ways of knowing the wonder, fragility, complexity, and power of the natural world and have inspired readers to act on behalf of social-environmental causes. This course centers the work of diverse voices, including Indigenous, Black, and Chicana writers, enabling us to consider some of the many ways that people have understood and experienced nature throughout history and the relevance of these manifold ways of knowing to our conceptualizations of nature today. Students will develop their responses to the question of what is the wild and why it matters through a series of synchronous and asynchronous in-the-field writing exercises that integrate personal narrative and environmental scholarship, culminating in a ~3000-word narrative nonfiction essay.
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What is the wild? What is our relationship to nature, and why does this relationship matter? We will interrogate these questions through the work of influential, diverse, primarily American environmental writers who have given voice to many ways of knowing the wonder, fragility, complexity, and power of the natural world and have inspired readers to act on behalf of social-environmental causes. This course centers the work of diverse voices, including Indigenous, Black, and Chicana writers, enabling us to consider some of the many ways that people have understood and experienced nature throughout history and the relevance of these manifold ways of knowing to our conceptualizations of nature today. Students will develop their responses to the question of what is the wild and why it matters through a series of synchronous and asynchronous in-the-field writing exercises that integrate personal narrative and environmental scholarship, culminating in a ~3000-word narrative nonfiction essay. This course will provide students with knowledge, tools, experience, and skills that will empower them to become more persuasive environmental storytellers and advocates.If you are interested in signing up for the course, complete this pre-registration form:
https://stanforduniversity.qualtrics.com/jfe/form/SV_9XqZeZs036WIvop
Terms: Spr
| Units: 3
| UG Reqs: WAY-CE
EARTHSYS 151: Biological Oceanography (EARTHSYS 251, ESS 151, ESS 251)
Required for Earth Systems students in the oceans track. Interdisciplinary look at how oceanic environments control the form and function of marine life. Topics include distributions of planktonic production and abundance, nutrient cycling, the role of ocean biology in the climate system, expected effects of climate changes on ocean biology. Local weekend field trips.
Terms: Spr
| Units: 3-4
| UG Reqs: WAY-SMA
Instructors:
Arrigo, K. (PI)
;
Lauer, J. (TA)
EARTHSYS 153: Solving Social Problems with Data (COMM 140X, DATASCI 154, ECON 163, MS&E 134, POLISCI 154, PUBLPOL 155, SOC 127)
Introduces students to the interdisciplinary intersection of data science and the social sciences through an in-depth examination of contemporary social problems. Provides a foundational skill set for solving social problems with data including quantitative analysis, modeling approaches from the social sciences and engineering, and coding skills for working directly with big data. Students will also consider the ethical dimensions of working with data and learn strategies for translating quantitative results into actionable policies and recommendations. Lectures will introduce students to the methods of data science and social science and apply these frameworks to critical 21st century challenges, including education & inequality, political polarization, and health equity & algorithmic design in the fall quarter, and social media, climate change, and school choice & segregation in the spring quarter. In-class exercises and problem sets will provide students with the opportunity to use
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Introduces students to the interdisciplinary intersection of data science and the social sciences through an in-depth examination of contemporary social problems. Provides a foundational skill set for solving social problems with data including quantitative analysis, modeling approaches from the social sciences and engineering, and coding skills for working directly with big data. Students will also consider the ethical dimensions of working with data and learn strategies for translating quantitative results into actionable policies and recommendations. Lectures will introduce students to the methods of data science and social science and apply these frameworks to critical 21st century challenges, including education & inequality, political polarization, and health equity & algorithmic design in the fall quarter, and social media, climate change, and school choice & segregation in the spring quarter. In-class exercises and problem sets will provide students with the opportunity to use real-world datasets to discover meaningful insights for policymakers and communities. This course is the required gateway course for the new major in Data Science & Social Systems. Preference given to Data Science & Social Systems B.A. majors and prospective majors. Course material and presentation will be at an introductory level. Enrollment and participation in one discussion section is required. Sign up for the discussion section will occur on Canvas at the start of the quarter. Prerequisites:
CS106A (required),
DATASCI 112 (recommended as pre or corequisite). Limited enrollment. Please complete the interest form here:
https://forms.gle/8ui9RPgzxjGxJ9k29. A permission code will be given to admitted students to register for the class.
Terms: Aut, Spr
| Units: 5
| UG Reqs: WAY-AQR, WAY-SI
Instructors:
Nobles, M. (PI)
;
Weinstein, J. (PI)
;
Castro Pena, D. (TA)
...
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Instructors:
Nobles, M. (PI)
;
Weinstein, J. (PI)
;
Castro Pena, D. (TA)
;
Charmot, S. (TA)
;
Dann, C. (TA)
;
Ma, S. (TA)
;
Ross, D. (TA)
;
Upadhyay, R. (TA)
;
Vasilenok, N. (TA)
EARTHSYS 155: Science of Soils (ESS 155)
Physical, chemical, and biological processes within soil systems. Emphasis is on factors governing nutrient availability, plant growth and production, land-resource management, and pollution within soils. How to classify soils and assess nutrient cycling and contaminant fate. Recommended: introductory chemistry and biology.
Terms: Spr
| Units: 4-5
| UG Reqs: WAY-SMA, GER: DB-NatSci
EARTHSYS 156: The Future of Global Systemic Risk (SOC 128, STS 156)
The global risk environment is changing. Seemingly distinct large-scale risks affect what we now realize are mutually interdependent human, socio-technical, and ecological systems. As a result, consequences are more catastrophic, and costs are set to accelerate. How do we determine the top risks of this decade to prioritize actions, and how are both risks and actions likely to evolve and interact? This course investigates the data, methods, and insights mobilized by key actors such as corporations, governments, and academics to assess systemic risk, create future scenarios, and generate predictions. What are the track records of recognized systemic risk assessment and modeling toolkits? Going forward, how can we get better at risk prevention and mitigation? This year, the course will focus on combined risks from the environmental, health, and emerging tech domains. The key objective is to quickly learn relevant vocabularies (risk, tech, and futurist) by engaging with both traditional a
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The global risk environment is changing. Seemingly distinct large-scale risks affect what we now realize are mutually interdependent human, socio-technical, and ecological systems. As a result, consequences are more catastrophic, and costs are set to accelerate. How do we determine the top risks of this decade to prioritize actions, and how are both risks and actions likely to evolve and interact? This course investigates the data, methods, and insights mobilized by key actors such as corporations, governments, and academics to assess systemic risk, create future scenarios, and generate predictions. What are the track records of recognized systemic risk assessment and modeling toolkits? Going forward, how can we get better at risk prevention and mitigation? This year, the course will focus on combined risks from the environmental, health, and emerging tech domains. The key objective is to quickly learn relevant vocabularies (risk, tech, and futurist) by engaging with both traditional and emerging assessment methods, in order to discover how to shape positive societal outcomes in the next decade and beyond. The course prepares students for key roles in the assessment, management, and prediction of risks, technologies, markets, industries, infrastructures, and futures. People with these skills can affect the governance principles, strategies, and leadership of corporations, philanthropies, states, economies, and entire societies.
Terms: Spr
| Units: 3-4
Instructors:
Undheim, T. (PI)
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