printer friendly pageGEOPHYS 130: Introductory Seismology
Introduction to seismology including: elasticity and the wave equation, P, S, and surface waves, dispersion, ray theory, reflection and transmission of seismic waves, seismic imaging, large-scale Earth structure, earthquake location, earthquake statistics and forecasting, magnitude scales, seismic source theory.
Last offered: Autumn 2016
| UG Reqs: GER: DB-NatSci, WAY-AQR, WAY-SMA
GEOPHYS 141: Remote Sensing of the Oceans (EARTHSYS 141, EARTHSYS 241, ESS 141, ESS 241)
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)
;
Wachtell, A. (TA)
GEOPHYS 160: D^3: Disasters, Decisions, Development
This class connects the science behind natural disasters with the real-world constraints of disaster management and development. In each iteration of this class we will focus on a specific, disaster-prone location as case study. By collaborating with local stakeholders we will explore how science and engineering can make a make a difference in reducing disaster risk in the future. Offered every other year.
Last offered: Winter 2016
| UG Reqs: WAY-AQR, WAY-SMA
GS 1: Introduction to Geology (EARTHSYS 11)
Why are earthquakes, volcanoes, and natural resources located at specific spots on the Earth 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 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.
Terms: Win
| Units: 5
| UG Reqs: GER: DB-NatSci, WAY-AQR, WAY-SMA
Instructors:
Gooley, J. (PI)
;
Hodgskiss, M. (PI)
;
Hoiland, C. (PI)
...
more instructors for GS 1 »
Instructors:
Gooley, J. (PI)
;
Hodgskiss, M. (PI)
;
Hoiland, C. (PI)
;
Ritzer, S. (PI)
;
Sperling, E. (PI)
;
White, C. (PI)
;
Stockey, R. (TA)
GS 42: Landscapes and Tectonics of the San Francisco Bay Area (EARTH 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.
Terms: Aut
| Units: 4
| UG Reqs: WAY-AQR, WAY-SMA
Instructors:
Baden, C. (PI)
;
Hilley, G. (PI)
GS 46Q: Environmental Impact of Energy Systems: What are the Risks? (EARTHSYS 46Q)
In order to reduce CO2 emissions and meet growing energy demands during the 21st Century, the world can expect to experience major shifts in the types and proportions of energy-producing systems. These decisions will depend on considerations of cost per energy unit, resource availability, and unique national policy needs. Less often considered is the environmental impact of the different energy producing systems: fossil fuels, nuclear, wind, solar, and other alternatives. One of the challenges has been not only to evaluate the environmental impact but also to develop a systematic basis for comparison of environmental impact among the energy sources. The course will consider fossil fuels (natural gas, petroleum and coal), nuclear power, wind and solar and consider the impact of resource extraction, refining and production, transmission and utilization for each energy source.
Last offered: Winter 2016
| UG Reqs: WAY-AQR
GS 59N: Earthquake 9.0: The Heritage of Fukushima Daiichi 6 Years Later
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.
Terms: Spr
| Units: 3
| UG Reqs: WAY-AQR
HUMBIO 51: Big Data for Biologists - Decoding Genomic Function
Biology and medicine are becoming increasingly data-intensive fields. This course is designed to introduce students interested in human biology and related fields to methods for working with large biological datasets. There will be in-class activities analyzing real data that have revealed insights about the role of the genome and epigenome in health and disease. For example, we will explore data from large-scale gene expression and chromatin state studies. The course will provide an introduction to the relevant topics in biology and to fundamental computational skills such as editing text files, formatting and storing data, visualizing data and writing data analysis scripts. Students will become familiar with both UNIX and Python. This course is designed at the introductory level. Previous university-level courses in biology and programming experience are not required.
Terms: Aut
| Units: 3
| UG Reqs: WAY-AQR
Instructors:
Kundaje, A. (PI)
;
Salmeen, A. (PI)
HUMBIO 85A: Essential Statistics for Human Biology (BIO 108)
Introduction to statistical concepts and methods that are essential to the study of questions in biology, environment, health and related areas. The course will teach and use the computer language R and Python (you learn both, choose one). Topics include distributions, probabilities, likelihood, linear models; illustrations will be based on recent research.
Last offered: Spring 2016
| UG Reqs: WAY-AQR
HUMBIO 88: Introduction to Statistics for the Health Sciences
Students will learn the statistical tools used to describe and analyze data in the fields of medicine and epidemiology. This very applied course will rely on current research questions and publicly available data. Students will gain proficiency with Stata to do basic analyses of health-related data, including linear and logistic regression, and will become sophisticated consumers of health-related statistical results.
Terms: Win
| Units: 4
| UG Reqs: GER:DB-Math, WAY-AQR
Instructors:
Kurina, L. (PI)
;
Pier, T. (TA)
Filter Results: