2019-2020 2020-2021 2021-2022 2022-2023 2023-2024
Browse
by subject...
    Schedule
view...
 

111 - 120 of 201 results for: all courses

ENGR 155C: Introduction to Probability and Statistics for Engineers (CME 106)

Probability: random variables, independence, and conditional probability; discrete and continuous distributions, moments, distributions of several random variables. Numerical simulation using Monte Carlo techniques. Topics in mathematical statistics: random sampling, point estimation, confidence intervals, hypothesis testing, non-parametric tests, regression and correlation analyses. Numerous applications in engineering, manufacturing, reliability and quality assurance, medicine, biology, and other fields. Prerequisite: CME100/ENGR154 or Math 51 or 52.
Terms: Win, Sum | Units: 4 | UG Reqs: GER:DB-Math, WAY-AQR, WAY-FR

EPS 1: Introduction to Geology (EARTHSYS 11)

(Former GEOLSCI 1) Why are earthquakes, volcanoes, and natural resources located at specific spots on the Earth's surface? Why are there rolling hills to the west behind Stanford and soaring granite walls to the east in Yosemite? What was the Earth like in the past, and what will it be like in the future? Lectures, hands-on laboratories, in-class activities, and one virtual field trip will help you see the Earth through the eyes of a geologist. Topics include plate tectonics, the cycling and formation of different types of rocks, and how geologists use rocks to understand Earth's history. Change of Department Name: Earth & Planetary Sciences (Formerly Geological Science)
Terms: Spr | Units: 5 | UG Reqs: WAY-AQR, GER: DB-NatSci, WAY-SMA

EPS 6: Introduction to Data Science for Geoscience (EARTHSYS 100A)

(Formerly GEOLSCI 6) This course provides an overview of the most relevant areas of data science to address geoscientific challenges and questions as they pertain to the environment, earth resources & hazards. The focus lies on the methods that treat common characters of geoscientific data: multivariate, multi-scale, compositional, geospatial and space-time. In addition, the course will treat those statistical method that allow a quantification of the human dimension by looking at quantifying impact on humans (e.g. hazards, contamination) and how humans impact the environment (e.g. contamination, land use). The course focuses on developing skills that are not covered in traditional statistics and machine learning courses. Change of Department Name: Earth and Planetary Science (Formerly Geologic Sciences).
Terms: Win | Units: 3 | UG Reqs: WAY-AQR | Repeatable 3 times (up to 9 units total)

EPS 42: Moving and Shaking in the Bay Area

(Formerly GEOLSCI 42) Active faulting and erosion in the Bay Area, and its effects upon landscapes. Earth science concepts and skills through investigation of the valley, mountain, and coastal areas around Stanford. Faulting associated with the San Andreas Fault, coastal processes along the San Mateo coast, uplift of the mountains by plate tectonic processes, and landsliding in urban and mountainous areas. Field excursions; student projects. Change of Department Name: Earth and Planetary Science (Formerly Geologic Sciences).
| UG Reqs: WAY-AQR, WAY-SMA

EPS 59N: Earthquake 9.0: The Heritage of Fukushima Daiichi 6 Years Later

(Formerly GEOLSCI 59N) We will consider the case for nuclear power as an energy source through the lens of the Fukushima disaster. Specific topics will include the cause of the earthquake and tsunami, the causes for the nuclear power plant failure, the mechanisms for the release of radioactivity at the time of the accident and today, and the ongoing human impact of this tragedy. In addition to the details of the accident and the release of radioactivity, class discussions and readings will explore the health and economic impacts of nuclear power and examine how the accident has affected the future prospects of nuclear power in Japan, the U.S., and around the world. Change of Department Name: Earth and Planetary Science (Formerly Geologic Sciences).
| UG Reqs: WAY-AQR

ESS 141: Remote Sensing of the Oceans (EARTHSYS 141, EARTHSYS 241, 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)

ESS 152: Marine Chemistry (EARTHSYS 152, EARTHSYS 252, ESS 252, OCEANS 152, OCEANS 252)

Introduction to the interdisciplinary knowledge and skills required to critically evaluate problems in marine chemistry and related disciplines. Physical, chemical, and biological processes that determine the chemical composition of seawater. Air-sea gas exchange, carbonate chemistry, and chemical equilibria, nutrient and trace element cycling, particle reactivity, sediment chemistry, and diagenesis. Examination of chemical tracers of mixing and circulation and feedbacks of ocean processes on atmospheric chemistry and climate. Designed to be taken concurrently with Biological Oceanography (ESS/ EARTHSYS 151/251)
Last offered: Spring 2023 | UG Reqs: WAY-AQR, WAY-SMA

ESS 162: Remote Sensing of Land (EARTHSYS 142, EARTHSYS 242, 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

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 t 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. 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 | Units: 3-4 | UG Reqs: GER: DB-NatSci, WAY-AQR

ESS 241: Remote Sensing of the Oceans (EARTHSYS 141, EARTHSYS 241, ESS 141, 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)
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