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 152: Marine Chemistry (EARTHSYS 252, ESS 152, ESS 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 (EESS/
EARTHSYS 151/251)
Terms: Spr
| Units: 3-4
| UG Reqs: WAY-AQR, WAY-SMA
Instructors:
Casciotti, K. (PI)
EARTHSYS 185: Feeding Nine Billion
Feeding a growing and wealthier population is a huge task, and one with implications for many aspects of society and the environment. There are many tough choices to be made- on fertilizers, groundwater pumping, pesticide use, organics, genetic modification, etc. Unfortunately, many people form strong opinions about these issues before understanding some of the basics of how food is grown, such as how most farmers currently manage their fields, and their reasons for doing so. The goal of this class is to present an overview of global agriculture, and the tradeoffs involved with different practices. Students will develop two key knowledge bases: basic principles of crop ecology and agronomy, and familiarity with the scale of the global food system. The last few weeks of the course will be devoted to building on this knowledge base to evaluate different future directions for agriculture.
Terms: Win
| Units: 4-5
| UG Reqs: WAY-AQR
ECON 45: Using Big Data to Solve Economic and Social Problems
This course will show how "big data" can be used to understand and solve some of the most important social and economic problems of our time. The course will give students an introduction to frontier research in applied economics and social science in a non-technical manner. Topics include equality of opportunity, education, income inequality, racial segregation, innovation and entrepreneurship, social networks, urban planning, health, crime, and political partisanship. In the context of these topics, the course will also provide a non-technical introduction to basic statistical methods and data analysis techniques, including regression analysis, causal inference, quasi-experimental methods, and machine learning. Optional sections will provide a more advanced treatment of these methods for interested students. Each week, the course will include a guest lecturer from a Silicon Valley firm or government agency who will discuss real-world applications of data science.
Terms: Spr
| Units: 4-5
| UG Reqs: WAY-SI, WAY-AQR
Instructors:
Chetty, R. (PI)
;
Makridis, C. (PI)
;
Dodds, W. (TA)
...
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Instructors:
Chetty, R. (PI)
;
Makridis, C. (PI)
;
Dodds, W. (TA)
;
Huang, J. (TA)
;
Mast, E. (TA)
;
Rios Rivera, J. (TA)
ECON 102A: Introduction to Statistical Methods (Postcalculus) for Social Scientists
Probabilistic modeling and statistical techniques relevant for economics. Concepts include: probability trees, conditional probability, random variables, discrete and continuous distributions, correlation, central limit theorems, point estimation, hypothesis testing and confidence intervals for both one and two populations. Prerequisite:
MATH 20 or
MATH 41 or equivalent.
Terms: Aut, Win
| Units: 5
| UG Reqs: GER:DB-Math, WAY-AQR, WAY-SI
Instructors:
McKeon, S. (PI)
;
Chen, L. (TA)
;
Dodds, W. (TA)
;
Ferranti, M. (TA)
;
Mills, B. (TA)
;
Yeow, V. (TA)
;
Zhang, J. (TA)
ECON 102B: Applied Econometrics
Hypothesis tests and confidence intervals for population variances, chi-squared goodness-of-fit tests, hypothesis tests for independence, simple linear regression model, testing regression parameters, prediction, multiple regression, omitted variable bias, multicollinearity, F-tests, regression with indicator random variables, simultaneous equation models and instrumental variables. Topics vary slightly depending on the quarter. Prerequisites:
Econ 102A or equivalent. Recommended: computer experience (course often uses STATA software to run regressions).
Terms: Win, Spr
| Units: 5
| UG Reqs: WAY-AQR, WAY-SI
Instructors:
Bergstrom, K. (PI)
;
Gong, K. (PI)
;
McKeon, S. (PI)
...
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Instructors:
Bergstrom, K. (PI)
;
Gong, K. (PI)
;
McKeon, S. (PI)
;
Zhang, L. (PI)
;
Bergstrom, K. (TA)
;
Mills, B. (TA)
;
Zhang, L. (TA)
ECON 102C: Advanced Topics in Econometrics
The program evaluation problem. Identifying and estimating the effects of policies on outcomes of interest (e.g., tax rates on labor supply, etc.). Identifying and estimating the effects of human capital on earnings and other labor market outcomes. Topics: Instrumental variables estimation; limited dependent variable models (probit, logit, Tobit models); Panel data techniques (fixed and random effect models, dynamic panel data models); Duration models; Bootstrap and Estimation by Simulation. Prerequisite:
Econ 102B
Terms: Win
| Units: 5
| UG Reqs: WAY-AQR, WAY-SI
Instructors:
Pistaferri, L. (PI)
;
Ginn, T. (TA)
ECON 125: Economic Development, Microfinance, and Social Networks
An introduction to the study of the financial lives of households in less developed countries, focusing on savings, credit, informal insurance, the expansion of microfinance, and social networks. Prerequisites-
Econ 51 and 102B
Terms: Spr
| Units: 5
| UG Reqs: WAY-SI, WAY-AQR, GER:EC-GlobalCom
Instructors:
Chandrasekhar, A. (PI)
ECON 137: Decision Modeling and Information
Effective decision models consider a decision maker's alternatives, information and preferences. The construction of such models in single-party situations with emphasis on the role of information. The course then evolves to two-party decision situations where one party has more information than the other. Models examined include: bidding exercises and the winner's curse, the Akerlof Model and adverse selection, the Principal-Agent model and risk sharing, moral hazard and contract design. Prerequisite:
ECON 102A or equivalent. Recommended:
Econ 50, Optimization and simulation in Excel.
Terms: Aut
| Units: 5
| UG Reqs: WAY-AQR, WAY-FR
Instructors:
McKeon, S. (PI)
;
Chen, W. (TA)
ECON 145: Labor Economics
Analysis and description of labor markets. Determination of employment, unemployment, hours of work, wages. Welfare programs and work effort. Wage differentials by schooling, experience, gender, and race. Income inequality, changes in inequality, and differences in inequality. Employment contracts, labor unions, and bargaining. International comparisons. Prerequisites:
ECON 51,
ECON 102B.
Terms: Aut
| Units: 5
| UG Reqs: GER:EC-Gender, WAY-AQR, WAY-SI
| Repeatable
1 times
(up to 5 units total)
Instructors:
Pencavel, J. (PI)
;
Bergstrom, K. (TA)
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