2017-2018 2018-2019 2019-2020 2020-2021 2021-2022
Browse
by subject...
    Schedule
view...
 

1 - 10 of 20 results for: ESS ; Currently searching autumn courses. You can expand your search to include all quarters

ESS 38N: The Worst Journey in the World: The Science, Literature, and History of Polar Exploration (EARTHSYS 38N, GEOLSCI 38N)

This course examines the motivations and experiences of polar explorers under the harshest conditions on Earth, as well as the chronicles of their explorations and hardships, dating to the 1500s for the Arctic and the 1700s for the Antarctic. Materials include The Worst Journey in the World by Aspley Cherry-Garrard who in 1911 participated in a midwinter Antarctic sledging trip to recover emperor penguin eggs. Optional field trip into the high Sierra in March.
Terms: Aut | Units: 3 | UG Reqs: GER: DB-NatSci
Instructors: Dunbar, R. (PI)

ESS 65N: How to make a tornado (and other flows in the atmosphere and ocean)

Preference to freshman. In this seminar students explore the physics of atmospheric and oceanic flows experientially using rotating tanks of water on small turntables provided to each student in the class. Different flow phenomena from tornado formation, ocean gyres, to hurricane propagation are introduced each week and experiments are designed to simulate them. The experiments, like the oceanic and atmospheric motions they are simulating, can be visually stunning, like pieces of fluid artwork, and the students will learn various visualization techniques to draw out their beauty. The goal is for students to practice the scientific method while gaining an understanding and appreciation for how the ocean and atmosphere work.
Terms: Aut, Spr | Units: 3 | Repeatable 2 times (up to 3 units total)
Instructors: Thomas, L. (PI)

ESS 112: Human Society and Environmental Change (EARTHSYS 112, EARTHSYS 212, 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 | UG Reqs: WAY-SI

ESS 118X: Shaping the Future of the Bay Area (AMSTUD 118X, CEE 118X, CEE 218X, ESS 218X, GEOLSCI 118X, GEOLSCI 218X, GEOPHYS 118X, GEOPHYS 218X, POLISCI 218X, PUBLPOL 118X, PUBLPOL 218X)

The complex urban problems affecting quality of life in the Bay Area, from housing affordability and transportation congestion to economic vitality and social justice, are already perceived by many to be intractable, and will likely be exacerbated by climate change and other emerging environmental and technological forces. Reforming urban systems to improve the equity, resilience and sustainability of communities will require new collaborative methods of assessment, goal setting, and problem solving across governments, markets, and communities. It will also require academic institutions to develop new models of co-production of knowledge across research, education, and practice. This XYZ course series is designed to immerse students in co-production for social change. The course sequence covers scientific research and ethical reasoning, skillsets in data-driven and qualitative analysis, and practical experience working with local partners on urban challenges that can empower students t more »
The complex urban problems affecting quality of life in the Bay Area, from housing affordability and transportation congestion to economic vitality and social justice, are already perceived by many to be intractable, and will likely be exacerbated by climate change and other emerging environmental and technological forces. Reforming urban systems to improve the equity, resilience and sustainability of communities will require new collaborative methods of assessment, goal setting, and problem solving across governments, markets, and communities. It will also require academic institutions to develop new models of co-production of knowledge across research, education, and practice. This XYZ course series is designed to immerse students in co-production for social change. The course sequence covers scientific research and ethical reasoning, skillsets in data-driven and qualitative analysis, and practical experience working with local partners on urban challenges that can empower students to drive responsible systems change in their future careers. The Autumn (X) and Winter (Y) courses are focused on basic and advanced skills, respectively, and completion is a prerequisite for participation in the Spring (Z) practicum quarter, which engages teams in real-world projects with Bay Area local governments or community groups. X and Y are composed of four weekly pedagogical components: (A) lectures; (B) writing prompts linked with small group discussion; (C) lab and self-guided tutorials on the R programming language; and (D) R data analysis assignments. Open to undergraduate and graduate students in any major. For more information, visit http://bay.stanford.edu/education.
Terms: Aut | Units: 1-5 | UG Reqs: WAY-SI, WAY-AQR

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

"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 more »
"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.n nThe course will consist of weekly lectures, guest speakers, computer lab assignments, midterm and final exam, as well as an individual final project requirement.nnThis course must be taken for a minimum of 3 units and a letter grade to be eligible for Ways credit.
Terms: Aut | Units: 1-4 | UG Reqs: GER: DB-NatSci, WAY-AQR

ESS 204: Effective Scientific Presentation and Public Speaking (GEOLSCI 306, GEOPHYS 205)

The ability to present your research in a compelling, concise, and engaging manner will enhance your professional career. I will work to convince you that the best way to capture an audience and leave a lasting impression is to tell a story, do a demo, or pick a fight. Virtual presentations make it harder to connect and interact with the audience, and to overcome these obstacles requires getting the most from video, audio, lighting, live vs. pre-recorded content, and virtual posters. So, these elements will also be an essential part of the class. The goal of a talk is not to show people how much work you did, how capable and dedicated you are, or how much you know. We don't care about any of those things. The goal is for the audience to learn something new and important, to change their perspective, to leave a lasting memory, and to influence their research. It is to be inspired, shocked, or moved. The course is taught as a series of stand-and-deliver exercises with class feedback and more »
The ability to present your research in a compelling, concise, and engaging manner will enhance your professional career. I will work to convince you that the best way to capture an audience and leave a lasting impression is to tell a story, do a demo, or pick a fight. Virtual presentations make it harder to connect and interact with the audience, and to overcome these obstacles requires getting the most from video, audio, lighting, live vs. pre-recorded content, and virtual posters. So, these elements will also be an essential part of the class. The goal of a talk is not to show people how much work you did, how capable and dedicated you are, or how much you know. We don't care about any of those things. The goal is for the audience to learn something new and important, to change their perspective, to leave a lasting memory, and to influence their research. It is to be inspired, shocked, or moved. The course is taught as a series of stand-and-deliver exercises with class feedback and revision on the fly, supplemented by one-on-one coaching. We will have exercises on conference presentations, job interviews and job talks, departmental seminars, webinars, press interviews, and funding pitches. Grades are optional: 70% in-class exercises, 30% final presentation, such as your upcoming AGU, GSA, or SEG presentation. Take this course when you have research to present. ( http://syllabus.stanford.edu). My pledge is that everyone will come away a more skilled and confident speaker than they were before.
Terms: Aut | Units: 2
Instructors: Stein, R. (PI)

ESS 210: Techniques in Environmental Microbiology (BIO 201)

Fundamentals and application of laboratory techniques to study the diversity and activity of microorganisms in environmental samples, including soil, sediment, and water. Emphasis is on culture-independent approaches, including epifluorescence microscopy, extraction and analysis of major biomolecules (DNA, RNA, protein, lipids), stable isotope probing, and metabolic rate measurements. Format will include lectures, laboratory exercises, and discussions. Students will learn how to collect, analyze, and understand common and cutting-edge datasets in environmental microbiology. Permission from instructor is required to enroll as C/NC or for 1-3 units.
Terms: Aut, Spr | Units: 1-4

ESS 218X: Shaping the Future of the Bay Area (AMSTUD 118X, CEE 118X, CEE 218X, ESS 118X, GEOLSCI 118X, GEOLSCI 218X, GEOPHYS 118X, GEOPHYS 218X, POLISCI 218X, PUBLPOL 118X, PUBLPOL 218X)

The complex urban problems affecting quality of life in the Bay Area, from housing affordability and transportation congestion to economic vitality and social justice, are already perceived by many to be intractable, and will likely be exacerbated by climate change and other emerging environmental and technological forces. Reforming urban systems to improve the equity, resilience and sustainability of communities will require new collaborative methods of assessment, goal setting, and problem solving across governments, markets, and communities. It will also require academic institutions to develop new models of co-production of knowledge across research, education, and practice. This XYZ course series is designed to immerse students in co-production for social change. The course sequence covers scientific research and ethical reasoning, skillsets in data-driven and qualitative analysis, and practical experience working with local partners on urban challenges that can empower students t more »
The complex urban problems affecting quality of life in the Bay Area, from housing affordability and transportation congestion to economic vitality and social justice, are already perceived by many to be intractable, and will likely be exacerbated by climate change and other emerging environmental and technological forces. Reforming urban systems to improve the equity, resilience and sustainability of communities will require new collaborative methods of assessment, goal setting, and problem solving across governments, markets, and communities. It will also require academic institutions to develop new models of co-production of knowledge across research, education, and practice. This XYZ course series is designed to immerse students in co-production for social change. The course sequence covers scientific research and ethical reasoning, skillsets in data-driven and qualitative analysis, and practical experience working with local partners on urban challenges that can empower students to drive responsible systems change in their future careers. The Autumn (X) and Winter (Y) courses are focused on basic and advanced skills, respectively, and completion is a prerequisite for participation in the Spring (Z) practicum quarter, which engages teams in real-world projects with Bay Area local governments or community groups. X and Y are composed of four weekly pedagogical components: (A) lectures; (B) writing prompts linked with small group discussion; (C) lab and self-guided tutorials on the R programming language; and (D) R data analysis assignments. Open to undergraduate and graduate students in any major. For more information, visit http://bay.stanford.edu/education.
Terms: Aut | Units: 1-5

ESS 220: Physical Hydrogeology (CEE 260A)

(Formerly GES 230.) Theory of underground water occurrence and flow, analysis of field data and aquifer tests, geologic groundwater environments, solution of field problems, and groundwater modeling. Introduction to groundwater contaminant transport and unsaturated flow. Lab. Prerequisite: elementary calculus.
Terms: Aut | Units: 4

ESS 227: Decision Science for Environmental Threats (EARTHSYS 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
Filter Results:
term offered
updating results...
teaching presence
updating results...
number of units
updating results...
time offered
updating results...
days
updating results...
UG Requirements (GERs)
updating results...
component
updating results...
career
updating results...
© Stanford University | Terms of Use | Copyright Complaints