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FEMGEN 141P: Political Economy of Development (POLISCI 141)

The last few decades have seen remarkable progress in lifting millions of people out of poverty worldwide. Yet, millions still are unable to meet even their most basic sustenance needs. This course examines foundational reasons for why some countries remain poor and why inequality persists today. In addition to answering the why question, we will also examine how practitioners, policy-makers, and academics have tackled global development challenges, where they have met success, and where failure has provided key lessons for the future. The course will examine how social, political, and economic institutions affect prospects for development, including by covering issues of colonialism and contemporary foreign aid. Students will learn about and explore patterns of development across the world, critically evaluate foundational theories of development, and understand the practical challenges and possible solutions to reducing poverty, creating equality, and ensuring good governance. Course assignments will aim to have students practice linking data and evidence with policy innovation, using global datasets to perform statistical analyses. Students will leave this class with an understanding of how development works (and does not work) in practice.
| UG Reqs: WAY-AQR, WAY-SI

GEOPHYS 20N: How to Predict a Super Eruption

The physics and chemistry of volcanic processes and modern methods of volcano monitoring. Volcanoes as manifestations of the Earth's internal energy and hazards to society. How earth scientists better forecast eruptive activity by monitoring seismic activity, bulging of the ground surface, and the discharge of volcanic gases, and by studying deposits from past eruptions. Focus is on the interface between scientists and policy makers and the challenges of decision making with incomplete information. Field trip to Mt. St. Helens, site of the 1980 eruption.
Terms: Win | Units: 3 | UG Reqs: GER: DB-NatSci, WAY-AQR, WAY-SMA
Instructors: Segall, P. (PI)

GEOPHYS 90: Earthquakes and Volcanoes (EARTHSYS 113)

Is the "Big One" overdue in California? What kind of damage would that cause? What can we do to reduce the impact of such hazards in urban environments? Does "fracking" cause earthquakes and are we at risk? Is the United States vulnerable to a giant tsunami? The geologic record contains evidence of volcanic super eruptions throughout Earth's history. What causes these gigantic explosive eruptions, and can they be predicted in the future? This course will address these and related issues. For non-majors and potential Earth scientists. No prerequisites. More information at: https://stanford.box.com/s/zr8ar28efmuo5wtlj6gj2jbxle76r4lu
Terms: Spr | Units: 3 | UG Reqs: GER:DB-EngrAppSci, WAY-SMA, WAY-AQR
Instructors: Beroza, G. (PI)

GEOPHYS 104: The Water Course (EARTHSYS 104, EARTHSYS 204, GEOPHYS 204)

The Central Valley of California provides a third of the produce grown in the U.S., but recent droughts and increasing demand have raised concerns about both food and water security. The pathway that water takes from rainfall to the irrigation of fields or household taps ('the water course') determines the quantity and quality of the available water. Working with various data sources (measurements made on the ground, in wells, and from satellites) allows us to model the water budget in the valley and explore the recent impacts on freshwater supplies.
Terms: Spr | Units: 4 | UG Reqs: WAY-SMA, GER: DB-NatSci, WAY-AQR

GEOPHYS 110: Introduction to the Foundations of Contemporary Geophysics (EARTHSYS 110, GEOPHYS 215)

Introduction to the foundations of contemporary geophysics. Lectures link important topics in contemporary Geophysics ("What we study") to methods used to make progress on these topics ("How we study"). Topics range from plate tectonics to natural hazards; ice sheets to sustainability. For each topic, we focus is on how the interpretation of geophysical measurements (e.g., gravity, seismology, heat flow, electromagnetism and remote sensing) provides fundamental insight into the behavior of the Earth. The course will includes a required all-day Saturday field exercise Feb 02/10 (rain-date: 02/17). Prerequisite: CME 100 or MATH 51, or co-registration in either.
Terms: Win | Units: 3 | UG Reqs: GER: DB-NatSci, WAY-AQR, WAY-SMA

GEOPHYS 115: Taking the Pulse of the Planet (EE 115)

Grappling with the big questions of sustainability and climate change, requires that we have ways to measure ? as we cannot manage what we cannot measure. This course, Taking the Pulse of the Planet introduces a new research and teaching initiative at Stanford ? also called Taking the Pulse of the Planet, which has the following goal: to have in place a global network of satellite, airborne, land/water-based sensors to support the real-time adaptive management of planetary health and human activities. Measurements will be made at the spatial and temporal scales required to inform the development and implementation of new policies addressing critical issues related to climate change, sustainability, and equity. Tapping into rapid advancements in sensor technology and data science over the past decade, we can now image and monitor many components of the Earth system and human activities. With the launch of the Stanford Doerr School of Sustainability, we wish to celebrate, through this co more »
Grappling with the big questions of sustainability and climate change, requires that we have ways to measure ? as we cannot manage what we cannot measure. This course, Taking the Pulse of the Planet introduces a new research and teaching initiative at Stanford ? also called Taking the Pulse of the Planet, which has the following goal: to have in place a global network of satellite, airborne, land/water-based sensors to support the real-time adaptive management of planetary health and human activities. Measurements will be made at the spatial and temporal scales required to inform the development and implementation of new policies addressing critical issues related to climate change, sustainability, and equity. Tapping into rapid advancements in sensor technology and data science over the past decade, we can now image and monitor many components of the Earth system and human activities. With the launch of the Stanford Doerr School of Sustainability, we wish to celebrate, through this course, the powerful role that advancements in technology ? specifically sensors ? and advancements in data science are playing in addressing the global challenges in sustainability and climate change. This will be a lecture class for undergraduates and graduate students designed to introduce them to the incredible array of sensors and data sets now available. We will finish the quarter with group projects that will involve the making and deployment of sensors around campus. The course will be designed to accommodate students at any level, with any background, with no required pre-requisites. In most of the assignments, we will be using Google co-lab to work with various types of sensor data. We anticipate drawing to this course both data-science-savvy and data-science-interested students. Therefore, we have developed online modules that are designed to help any student get up to speed on the "jargon" and the computational approaches used in the class.
Terms: Win | Units: 3 | UG Reqs: WAY-AQR, WAY-SMA

GEOPHYS 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 2022 | 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.
Last offered: Winter 2023 | UG Reqs: GER: DB-NatSci, WAY-AQR

GEOPHYS 148: Machine Learning and the Physical Sciences (CME 215, GEOPHYS 248)

This course provides a survey of the rapidly growing field of machine learning in the physical sciences. It covers various areas such as inverse problems, emulating physical processes, model discovery given data, and solution discovery given equations. It both introduces the background knowledge required to implement physics-informed deep learning and provides practical in-class coding exercises. Students have the opportunity to apply this emerging methodology to their own research interests across all fields of the physical sciences, including geophysics, climate, fluids, or other systems where the same technique applies. Students develop individual projects throughout the semester. Recommended Prerequisite: Calculus (e.g. Math 21), Differential Equations (e.g. MATH 53 or PHYSICS 111) or equivalents.
Terms: Spr | Units: 3 | UG Reqs: WAY-AQR, WAY-SMA
Instructors: Lai, C. (PI)

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.
Last offered: Winter 2023 | UG Reqs: WAY-AQR
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