AA 100:
Introduction to Aeronautics and Astronautics
The principles of fluid flow, flight, and propulsion; the creation of lift and drag, aerodynamic performance including takeoff, climb, range, and landing performance, structural concepts, propulsion systems, trajectories, and orbits. The history of aeronautics and astronautics. Prerequisites: MATH 41, 42; elementary physics.
Terms: Aut
| Units: 3
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA
AA 116Q:
Electric Automobiles and Aircraft
Transportation accounts for nearly one-third of American energy use and greenhouse gas emissions and three-quarters of American oil consumption. It has crucial impacts on climate change, air pollution, resource depletion, and national security. Students wishing to address these issues reconsider how we move, finding sustainable transportation solutions. An introduction to the issue, covering the past and present of transportation and its impacts; examining alternative fuel proposals; and digging deeper into the most promising option: battery electric vehicles. Energy requirements of air, ground, and maritime transportation; design of electric motors, power control systems, drive trains, and batteries; and technologies for generating renewable energy. Two opportunities for hands-on experiences with electric cars. Prerequisites: Introduction to calculus and Physics AP or elementary mechanics.
Terms: Aut
| Units: 3
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA
ANTHRO 130D:
Spatial Approaches to Social Science (ANTHRO 230D, POLISCI 241S, URBANST 124)
This multidisciplinary course combines different approaches to how GIS and spatial tools can be applied in social science research. We take a collaborative, project oriented approach to bring together technical expertise and substantive applications from several social science disciplines. The course aims to integrate tools, methods, and current debates in social science research and will enable students to engage in critical spatial research and a multidisciplinary dialogue around geographic space.
Terms: Win
| Units: 5
| UG Reqs: WAY-AQR, WAY-SI
BIO 108:
Essential Statistics for Human Biology (HUMBIO 85A)
Introduction to statistical concepts and methods that are essential to the study of questions in biology, environment, health, epidemiology and related areas. The course will teach and use the computer language R. Topics include distributions, probabilities, likelihood, linear models; illustrations will be based on recent research.
Terms: Spr
| Units: 4
| UG Reqs: WAY-AQR
BIO 129A:
Cellular Dynamics I: Cell Motility and Adhesion
Cell motility emphasizing role of actin assembly and dynamics coupling actin organization to cell movement. Interaction of cells with extracellular matrix, and remodelling of extracellular matrix in development and disease. Directed cell migration by chemotaxis (neuronal path-finding, immune cells). Cell-cell adhesion, formation of intercellular junctions and mechanisms regulating cell-cell interactions in development and diseases. Emphasis is on experimental logic, methods, problem solving, and interpretation of results. Students present research papers. Satisfies Central Menu Area 2. Prerequisite: Biology core.
Terms: Win
| Units: 4
| UG Reqs: GER: DB-NatSci, WAY-AQR, WAY-SMA
BIO 141:
Biostatistics (STATS 141)
Introductory statistical methods for biological data: describing data (numerical and graphical summaries); introduction to probability; and statistical inference (hypothesis tests and confidence intervals). Intermediate statistical methods: comparing groups (analysis of variance); analyzing associations (linear and logistic regression); and methods for categorical data (contingency tables and odds ratio). Course content integrated with statistical computing in R.
Terms: Aut
| Units: 3-5
| UG Reqs: GER:DB-Math, WAY-AQR
BIOE 41:
Physical Biology of Macromolecules
Principles of statistical physics, thermodynamics, and kinetics with applications to molecular biology. Topics include entropy, temperature, chemical forces, enzyme kinetics, free energy and its uses, self assembly, cooperative transitions in macromolecules, molecular machines, feedback, and accurate replication. Prerequisites: MATH 41, 42; CHEM 31A, B (or 31X); strongly recommended: PHYSICS 41, CME 100 or MATH 51, and CME 106; or instructor approval.
Terms: Win
| Units: 4
| UG Reqs: WAY-AQR, WAY-SMA
BIOE 42:
Physical Biology of Cells
Principles of transport, continuum mechanics, and fluids, with applications to cell biology. Topics include random walks, diffusion, Langevin dynamics, transport theory, low Reynolds number flow, and beam theory, with applications including quantitative models of protein trafficking in the cell, mechanics of the cell cytoskeleton, the effects of molecular noise in development, the electromagnetics of nerve impulses, and an introduction to cardiovascular fluid flow. Prerequisites: MATH 41, 42; CHEM 31A, B (or 31X); strongly recommended: CS 106A, PHYSICS 41, CME 100 or MATH 51, and CME 106; or instructor approval. 4 units, Spr (Huang, K)
Terms: Spr
| Units: 4
| UG Reqs: WAY-AQR, WAY-SMA
BIOE 101:
Systems Biology (BIOE 210)
Complex biological behaviors through the integration of computational modeling and molecular biology. Topics: reconstructing biological networks from high-throughput data and knowledge bases. Network properties. Computational modeling of network behaviors at the small and large scale. Using model predictions to guide an experimental program. Robustness, noise, and cellular variation. Prerequisites: CME 102; BIO 41, BIO 42; or consent of instructor.
Terms: Aut
| Units: 4
| UG Reqs: WAY-AQR
BIOE 103:
Systems Physiology and Design
Physiological design principles of intact tissues, organs, organ systems, and organisms in health and disease, and bioengineering tools used (or needed) to probe and model these physiological systems. Topics: Clinical physiology, ion channels and gradients, nonlinear dynamics of cell physiology, network physiology and system design/plasticity, diseases and interventions (major syndromes, simulation and treatment planning, instrumentation for intervention and stimulation, instrumentation for diagnosis and prevention), and new technologies including tissue engineering and optogenetics. Analytic and conceptual problem solving with cases from primary literature and real-world applications. Prerequisites: MATH 41, 42; CME 102; PHY 41, 43; BIO 41, 42; or instructor approval.
Terms: Spr
| Units: 4
| UG Reqs: WAY-AQR, WAY-SMA
BIOHOPK 174H:
Experimental Design and Probability (BIOHOPK 274H)
(Graduate students register for 274H.) Variability is an integral part of biology. Introduction to probability and its use in designing experiments to address biological problems. Focus is on analysis of variance, when and how to use it, why it works, and how to interpret the results. Design of complex, but practical, asymmetrical experiments and environmental impact studies, and regression and analysis of covariance. Computer-based data analysis. Prerequisite: Biology core or consent of instructor.
Terms: Spr
| Units: 3
| UG Reqs: GER: DB-NatSci, GER:DB-Math, WAY-AQR, WAY-FR
BIOHOPK 177H:
Dynamics and Management of Marine Populations (BIOHOPK 277H)
(Graduate students register for 277H.) Course examines the ecological factors and processes that control natural and harvested marine populations. Course emphasizes mathematical models as tools to assess the dynamics of populations and to derive projections of their demographic fate under different management scenarios. Course objectives will be met by a combination of theoretical lectures, assigned readings and class discussions, case study analysis and interactive computer sessions.
Terms: Win
| Units: 4
| UG Reqs: WAY-AQR, WAY-FR
| Repeatable
2 times
(up to 8 units total)
CEE 29N:
Managing Natural Disaster Risk
Natural disasters arise from the interaction of natural processes, such as earthquakes or floods, with human development that suffers safety-related and economic losses. We cannot predict exactly when those disasters will occur, or prevent them entirely, but we have a number of engineering and policy options that can reduce the impacts of such events.
Terms: Win
| Units: 3
| UG Reqs: WAY-AQR
CEE 70:
Environmental Science and Technology (ENGR 90)
Introduction to environmental quality and the technical background necessary for understanding environmental issues, controlling environmental degradation, and preserving air and water quality. Material balance concepts for tracking substances in the environmental and engineering systems.
Terms: Aut, Sum
| Units: 3
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR
CEE 70N:
Water, Public Health, and Engineering
Preference to sophomores. Linkages between water, wastewater and public health, with an emphasis on engineering interventions. Topics include the history of water and wastewater infrastructure development in the U.S. and Europe; evolution of epidemiological approaches for water-related health challenges; biological and chemical contaminants in water and wastewater and their management; and current trends and challenges in access to water and sanitation around the world. Identifying ways in which freshwater contributes to human health; exposure routes for water- and sanitation-illness. Classifying illnesses by pathogen type and their geographic distribution. Identifying the health and economic consequences of water- and sanitation-related illnesses; costs and benefits of curative and preventative interventions. Interpreting data related to epidemiological and environmental concepts. No previous experience in engineering is required.
Last offered: Spring 2011
| Units: 3
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA
CEE 178:
Introduction to Human Exposure Analysis (CEE 276)
(Graduate students register for 276.) Scientific and engineering issues involved in quantifying human exposure to toxic chemicals in the environment. Pollutant behavior, inhalation exposure, dermal exposure, and assessment tools. Overview of the complexities, uncertainties, and physical, chemical, and biological issues relevant to risk assessment. Lab projects. Recommended: MATH 51. Apply at first class for admission.
Terms: Spr
| Units: 3
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA
CHEM 134:
Analytical Chemistry Laboratory
Methods include gravimetric, volumetric, spectrophotometric, and chromatographic. Writing instruction includes communications, full papers, research proposals, and referee papers. Lab. Prerequisite: 130.
Terms: Spr
| Units: 5
| UG Reqs: GER: DB-NatSci, WAY-AQR, WAY-SMA
CHEMENG 20:
Introduction to Chemical Engineering (ENGR 20)
Overview of chemical engineering through discussion and engineering analysis of physical and chemical processes. Topics: overall staged separations, material and energy balances, concepts of rate processes, energy and mass transport, and kinetics of chemical reactions. Applications of these concepts to areas of current technological importance: biotechnology, energy, production of chemicals, materials processing, and purification. Prerequisite: CHEM 31.
Terms: Spr
| Units: 3
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA
CHEMENG 60Q:
Environmental Regulation and Policy
Preference to sophomores. How environmental policy is formulated in the U.S. How and what type of scientific research is incorporated into decisions. How to determine acceptable risk, the public's right to know of chemical hazards, waste disposal and clean manufacturing, brownfield redevelopment, and new source review regulations. The proper use of science and engineering including media presentation and misrepresentation, public scientific and technical literacy, and emotional reactions. Alternative models to formulation of environmental policy. Political and economic forces, and stakeholder discussions.
Terms: Aut
| Units: 3
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR
CHEMENG 70Q:
Masters of Disaster
Preference to sophomores. For students interested in science, engineering, politics, and the law. Learn from past disasters to avoid future ones. How disasters can be tracked to failures in the design process. The roles of engineers, artisans, politicians, lawyers, and scientists in the design of products. Failure as rooted in oversight in adhering to the design process. Student teams analyze real disasters and design new products presumably free from the potential for disastrous outcomes.
Terms: Aut
| Units: 3
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR
CME 106:
Introduction to Probability and Statistics for Engineers (ENGR 155C)
Probability: random variables, independence, and conditional probability; discrete and continuous distributions, moments, distributions of several random variables. Topics in mathematical statistics: random sampling, point estimation, confidence intervals, hypothesis testing, non-parametric tests, regression and correlation analyses; applications in engineering, industrial manufacturing, medicine, biology, and other fields. Prerequisite: CME 100/ENGR154 or MATH 51.
Terms: Win, Sum
| Units: 3-4
| UG Reqs: GER:DB-Math, WAY-AQR, WAY-FR
CME 108:
Introduction to Scientific Computing (MATH 114)
Introduction to Scientific Computing Numerical computation for mathematical, computational, physical sciences and engineering: error analysis, floating-point arithmetic, nonlinear equations, numerical solution of systems of algebraic equations, banded matrices, least squares, unconstrained optimization, polynomial interpolation, numerical differentiation and integration, numerical solution of ordinary differential equations, truncation error, numerical stability for time dependent problems and stiffness.nImplementation of numerical methods in MATLAB programming assignments.nPrerequisites: MATH 51, 52, 53; prior programming experience (MATLAB or other language at level of CS 106A or higher).
Terms: Win, Sum
| Units: 3-4
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-FR
CS 109:
Introduction to Probability for Computer Scientists
Topics include: counting and combinatorics, random variables, conditional probability, independence, distributions, expectation, point estimation, and limit theorems. Applications of probability in computer science including machine learning and the use of probability in the analysis of algorithms. Prerequisites: 103, 106B or X, MATH 51 or equivalent.
Terms: Win, Spr, Sum
| Units: 3-5
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-FR
EARTHSYS 101:
Energy and the Environment (ENERGY 101)
Energy use in modern society and the consequences of current and future energy use patterns. Case studies illustrate resource estimation, engineering analysis of energy systems, and options for managing carbon emissions. Focus is on energy definitions, use patterns, resource estimation, pollution. Recommended: MATH 21 or 42.
Terms: Win
| Units: 3
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA
EARTHSYS 104:
The Water Course (GEOPHYS 104)
The pathway that water takes from rainfall to the tap using student home towns as an example. How the geological environment controls the quantity and quality of water; taste tests of water from around the world. Current U.S. and world water supply issues. Offered Spring 2014.
Terms: Spr
| Units: 4
| UG Reqs: GER: DB-NatSci, WAY-AQR, WAY-SMA
EARTHSYS 113:
Earthquakes and Volcanoes (GEOPHYS 113)
Earthquake location, magnitude and intensity scales, seismic waves, styles of eruptions and volcanic hazards, tsunami waves, types and global distribution of volcanoes, volcano forecasting. Plate tectonics as a framework for understanding earthquake and volcanic processes. Forecasting; earthquake resistant design; building codes; and probabilistic hazard assessment. For non-majors and potential earth scientists. Offered every year, spring quarter.
Terms: Spr
| Units: 3
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA
EARTHSYS 140:
The Energy-Water Nexus (GEOPHYS 135)
Energy, water, and food are our most vital resources constituting a tightly intertwined network: energy production requires water, transporting and treating water needs energy, producing food requires both energy and water. The course is an introduction to learn specifically about the links between energy and water. Students will look first at the use of water for energy production, then at the role of energy in water projects, and finally at the challenge in figuring out how to keep this relationship as sustainable as possible. Students will explore case examples and are encouraged to contribute examples of concerns for discussion as well as suggest a portfolio of sustainable energy options.
Terms: Spr
| Units: 3
| UG Reqs: WAY-AQR
EARTHSYS 141:
Remote Sensing of the Oceans (EARTHSYS 241, EESS 141, EESS 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
EARTHSYS 152:
Marine Chemistry (EARTHSYS 252, EESS 152, EESS 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
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: Aut
| Units: 3
| UG Reqs: WAY-AQR
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 41 or equivalent.
Terms: Aut, Win
| Units: 5
| UG Reqs: GER:DB-Math, WAY-AQR, WAY-SI
ECON 102B:
Applied Econometrics
Descriptive statistics. Regression analysis. Hypothesis testing. Confidence regions. Simultaneous equation models. Instrumental variables. Panel data. Limited dependent variables. Time series. Prerequisites: 50, 102A or equivalent. Recommended: computer experience.
Terms: Win, Spr
| Units: 5
| UG Reqs: WAY-AQR, WAY-SI
ECON 102C:
Advanced Topics in Econometrics
Identification and estimation of the effect of human capital variables on earnings (such as the return to education, tenure). The evaluation problem. Identification and estimation of social interactions. Topics: instrumental variable estimation, limited dependent variable models (probit, logit, and Tobit models), panel data techniques (fixed effect and random effect models, dynamic panel data models), introduction to non-parametric methods. Prerequisite: Econ 102B
Terms: Spr
| Units: 5
| UG Reqs: WAY-AQR, WAY-SI
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 52 and 102B
Terms: Aut
| Units: 5
| UG Reqs: WAY-AQR, WAY-SI
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
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)
ECON 150:
Economic Policy Analysis (PUBLPOL 104, PUBLPOL 204)
The relationship between microeconomic analysis and public policy making. How economic policy analysis is done and why political leaders regard it as useful but not definitive in making policy decisions. Economic rationales for policy interventions, methods of policy evaluation and the role of benefit-cost analysis, economic models of politics and their application to policy making, and the relationship of income distribution to policy choice. Theoretical foundations of policy making and analysis, and applications to program adoption and implementation. Prerequisites: ECON 50 and ECON 102B.
Terms: Win, Spr
| Units: 4-5
| UG Reqs: WAY-AQR
ECON 179:
Experimental Economics
Methods and major subject areas that have been addressed by laboratory experiments. Focus is on a series of experiments that build on one another. Topics include decision making, two player games, auctions, and market institutions. How experiments are used to learn about preferences and behavior, trust, fairness, and learning. Final presentation of group projects. Prerequisites: ECON 50, ECON 51, ECON 102A.
Terms: Win
| Units: 5
| UG Reqs: WAY-AQR, WAY-SI
ECON 190:
Introduction to Financial Accounting
How to read, understand, and use corporate financial statements. Oriented towards the use of financial accounting information (rather than the preparer), and emphasizes the reconstruction of economic events from published accounting reports.
Terms: Aut, Win
| Units: 5
| UG Reqs: WAY-AQR
ECON 191:
Introduction to Cost Accounting
The use of internal financial data for managerial decision making.
Terms: Spr
| Units: 5
| UG Reqs: WAY-AQR
EE 102A:
Signal Processing and Linear Systems I
Concepts and tools for continuous- and discrete-time signal and system analysis with applications in signal processing, communications, and control. Mathematical representation of signals and systems. Linearity and time invariance. System impulse and step responses. System frequency response. Frequency-domain representations: Fourier series and Fourier transforms. Filtering and signal distortion. Time/frequency sampling and interpolation. Continuous-discrete-time signal conversion and quantization. Discrete-time signal processing. Prerequisite: MATH 53 or ENGR 155A.
Terms: Win, Sum
| Units: 4
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-FR
EE 102B:
Signal Processing and Linear Systems II
Continuation of EE 102A. Concepts and tools for continuous- and discrete-time signal and system analysis with applications in communications, signal processing and control. Analog and digital modulation and demodulation. Sampling, reconstruction, decimation and interpolation. Finite impulse response filter design. Discrete Fourier transforms, applications in convolution and spectral analysis. Laplace transforms, applications in circuits and feedback control. Z transforms, applications in infinite impulse response filter design. Prerequisite: EE 102A.
Terms: Spr
| Units: 4
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-FR
EE 108A:
Digital Systems I
Digital circuit, logic, and system design. Digital representation of information. CMOS logic circuits. Combinational logic design. Logic building blocks, idioms, and structured design. Sequential logic design and timing analysis. Clocks and synchronization. Finite state machines. Microcode control. Digital system design. Control and datapath partitioning. Lab. Undergraduates must enroll for 4 units. *In Autumn, enrollment preference is given to EE majors.
Terms: Aut, Win
| Units: 3-4
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA
EE 122B:
Introduction to Biomedical Electronics
Key components of modern systems, their application in physiology measurements, and reduction to practice in labs. Fundamentals of analog/digital conversion and filtering techniques for biosignals, typical transducers (biopotential, electrochemical, temperature, pressure, acoustic, movement), and interfacing circuits. Issues of biomedical electronics (safety, noise). Prerequisite: EE122A or equivalent.
Terms: Spr
| Units: 3
| UG Reqs: WAY-AQR, WAY-SMA
EESS 141:
Remote Sensing of the Oceans (EARTHSYS 141, EARTHSYS 241, EESS 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
EESS 152:
Marine Chemistry (EARTHSYS 152, EARTHSYS 252, EESS 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
EESS 241:
Remote Sensing of the Oceans (EARTHSYS 141, EARTHSYS 241, EESS 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
ENERGY 101:
Energy and the Environment (EARTHSYS 101)
Energy use in modern society and the consequences of current and future energy use patterns. Case studies illustrate resource estimation, engineering analysis of energy systems, and options for managing carbon emissions. Focus is on energy definitions, use patterns, resource estimation, pollution. Recommended: MATH 21 or 42.
Terms: Win
| Units: 3
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA
ENERGY 104:
Transition to sustainable energy systems
This course explores the transition to a sustainable energy system at large scales (national and global), and over long time periods (decades). Explores the drivers of global energy demand and the fundamentals of technologies that can meet this demand sustainably. Focuses on constraints affecting large-scale deployment of technologies, as well as inertial factors affecting this transition. Problems will involve modeling global energy demand, deployment rates for sustainable technologies, technological learning and economics of technical change. Recommended: ENERGY 101, 102.
Terms: Spr
| Units: 3
| UG Reqs: WAY-AQR
ENGLISH 184E:
Introduction to Critical Text Mining
The application of computational and quantitative methods to the study of literature is a rapidly growing and sometimes controversial new field. This course will introduce students to the methods and theory of these techniques as we combine hands on experience in the Literary Lab with discussions of the ways in which these techniques reshape our understanding of literature. Together, we will learn how to ¿read¿ large collections of literary texts using a variety of methods that draw upon literary studies, computer science and the social sciences, including authorship attribution, topic modeling, sentiment analysis, and named entity extraction.
Terms: Aut
| Units: 5
| UG Reqs: GER:DB-Hum, WAY-AQR
ENGR 20:
Introduction to Chemical Engineering (CHEMENG 20)
Overview of chemical engineering through discussion and engineering analysis of physical and chemical processes. Topics: overall staged separations, material and energy balances, concepts of rate processes, energy and mass transport, and kinetics of chemical reactions. Applications of these concepts to areas of current technological importance: biotechnology, energy, production of chemicals, materials processing, and purification. Prerequisite: CHEM 31.
Terms: Spr
| Units: 3
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA
ENGR 30:
Engineering Thermodynamics
The basic principles of thermodynamics are introduced in this course. Concepts of energy and entropy from elementary considerations of the microscopic nature of matter are discussed. The principles are applied in thermodynamic analyses directed towards understanding the performances of engineering systems. Methods and problems cover socially responsible economic generation and utilization of energy in central power generation plants, solar systems, refrigeration devices, and automobile, jet and gas-turbine engines.
Terms: Aut, Win, Spr, Sum
| Units: 3
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA
ENGR 40:
Introductory Electronics
Overview of electronic circuits and applications. Electrical quantities and their measurement, including operation of the oscilloscope. Basic models of electronic components including resistors, capacitors, inductors, and the operational amplifier. Frequency response of linear circuits, including basic filters, using phasor analysis. Digital logic fundamentals, logic gates, and basic combinatorial logic blocks. Lab assignments. Enrollment limited to 200. Lab. Corequisite: PHYSICS 43.
Terms: Aut, Spr
| Units: 5
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA
ENGR 40A:
Introductory Electronics
Abbreviated version of E40, for students not pursuing degree in Electrical Engineering. Instruction to be completed in the first seven weeks of the quarter. Overview of electronic circuits and applications. Electrical quantities and their measurement, including operation of the oscilloscope. Basic models of electronic components including resistors, capacitors, inductors, and the operational amplifier. Lab assignments. Enrollment limited to 200. Lab. Corequisite: PHYSICS 43.
Terms: Aut, Spr
| Units: 3
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA
ENGR 40C:
Engineering Wireless Networks
A hands on introduction to the design and implementation of modern wireless networks. Via a quarter long project on programmable radios, students will learn the fundamentals of wireless channels, encoding and decoding information, modeling of errors and error recovery algorithms, and the engineering of packet-switched networks. These concepts will be used to illustrate general themes in EE and CS: the role of abstraction and modularity in engineering design, building reliable systems using imperfect components, understanding the limits imposed by energy and noise, choosing effective representations for information, and engineering tradeoffs in complex systems. Formerly ENGR40N.
Terms: Spr
| Units: 5
| UG Reqs: WAY-AQR, WAY-FR
ENGR 50:
Introduction to Materials Science, Nanotechnology Emphasis
The structure, bonding, and atomic arrangements in materials leading to their properties and applications. Topics include electronic and mechanical behavior, emphasizing nanotechnology, solid state devices, and advanced structural and composite materials.
Terms: Spr
| Units: 4
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA
ENGR 50M:
Introduction to Materials Science, Biomaterials Emphasis
Topics include: the relationship between atomic structure and macroscopic properties of man-made and natural materials; mechanical and thermodynamic behavior of surgical implants including alloys, ceramics, and polymers; and materials selection for biotechnology applications such as contact lenses, artificial joints, and cardiovascular stents. No prerequisite.
Terms: Win
| Units: 4
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA
ENGR 90:
Environmental Science and Technology (CEE 70)
Introduction to environmental quality and the technical background necessary for understanding environmental issues, controlling environmental degradation, and preserving air and water quality. Material balance concepts for tracking substances in the environmental and engineering systems.
Terms: Aut, Sum
| Units: 3
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR
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. Topics in mathematical statistics: random sampling, point estimation, confidence intervals, hypothesis testing, non-parametric tests, regression and correlation analyses; applications in engineering, industrial manufacturing, medicine, biology, and other fields. Prerequisite: CME 100/ENGR154 or MATH 51.
Terms: Win, Sum
| Units: 3-4
| UG Reqs: GER:DB-Math, WAY-AQR, WAY-FR
GEOPHYS 20N:
Predicting Volcanic Eruptions
Preference to sophomores. 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. Offered Spring quarter 2013-14.
Terms: Spr
| Units: 3
| UG Reqs: GER: DB-NatSci, WAY-AQR, WAY-SMA
GEOPHYS 104:
The Water Course (EARTHSYS 104)
The pathway that water takes from rainfall to the tap using student home towns as an example. How the geological environment controls the quantity and quality of water; taste tests of water from around the world. Current U.S. and world water supply issues. Offered Spring 2014.
Terms: Spr
| Units: 4
| UG Reqs: GER: DB-NatSci, WAY-AQR, WAY-SMA
GEOPHYS 110:
Earth on the Edge: Introduction to Geophysics
Introduction to the foundations of contemporary geophysics. Topics drawn from four broad themes in: whole Earth geodynamics, geohazards, natural resources, and environment/sustainability. In each case the focus is on how the interpretation of a variety of geophysical measurements (e.g., gravity, seismology, heat flow, magnetism, electromagnetics, and geodesy) can be used to provide fundamental insight into the behavior of the Earth's complex geosystems. Prerequisite: CME 100 or MA TH 51, or co-registration in either. Offered every year, autumn quarter. Next offering, Autumn 2013-14
Terms: Aut
| Units: 3
| UG Reqs: GER: DB-NatSci, WAY-AQR, WAY-SMA
GEOPHYS 113:
Earthquakes and Volcanoes (EARTHSYS 113)
Earthquake location, magnitude and intensity scales, seismic waves, styles of eruptions and volcanic hazards, tsunami waves, types and global distribution of volcanoes, volcano forecasting. Plate tectonics as a framework for understanding earthquake and volcanic processes. Forecasting; earthquake resistant design; building codes; and probabilistic hazard assessment. For non-majors and potential earth scientists. Offered every year, spring quarter.
Terms: Spr
| Units: 3
| UG Reqs: GER:DB-EngrAppSci, 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. Offered every year, Autumn quarter. (Beroza, G)
Terms: Aut
| Units: 3
| UG Reqs: GER: DB-NatSci, WAY-AQR, WAY-SMA
GEOPHYS 135:
The Energy-Water Nexus (EARTHSYS 140)
Energy, water, and food are our most vital resources constituting a tightly intertwined network: energy production requires water, transporting and treating water needs energy, producing food requires both energy and water. The course is an introduction to learn specifically about the links between energy and water. Students will look first at the use of water for energy production, then at the role of energy in water projects, and finally at the challenge in figuring out how to keep this relationship as sustainable as possible. Students will explore case examples and are encouraged to contribute examples of concerns for discussion as well as suggest a portfolio of sustainable energy options.
Terms: Spr
| Units: 3
| UG Reqs: WAY-AQR
GEOPHYS 141:
Remote Sensing of the Oceans (EARTHSYS 141, EARTHSYS 241, EESS 141, EESS 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
GES 1A:
Introduction to Geology: The Physical Science of the Earth
For non-majors or prospective majors in the Earth Sciences. Lectures, hands-on laboratories, and three one-day weekend field trips. Focus is on the physical and chemical processes of heat and mass transfer within the earth and its fluid envelopes, including deep-earth, crustal, surface, and atmospheric processes. Topics include the dynamics of and interactions between the inner earth, plate tectonics, surface processes, and atmospheric processes such as climate change and global warming. Only one of GES 1A, 1B, or 1C may be taken for credit. Prerequisites: MATH 19 or equivalent.
Terms: Spr
| Units: 5
| UG Reqs: GER: DB-NatSci, WAY-AQR, WAY-SMA
GES 39N:
Forensic Geoscience: Stanford CSI
Preference to freshmen. Geological principles, materials, and techniques indispensable to modern criminal investigations. Basic earth materials, their origin and variability, and how they can be used as evidence in criminal cases and investigations such as artifact provenance and environmental pollution. Sources include case-based, simulated forensic exercises and the local environments of the Stanford campus and greater Bay Area. Local field trips; research presentation and paper.
Terms: Spr
| Units: 3
| UG Reqs: GER: DB-NatSci, WAY-AQR, WAY-SMA
GES 42N:
Landscapes and Tectonics of the San Francisco Bay Area
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
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, epidemiology and related areas. The course will teach and use the computer language R. Topics include distributions, probabilities, likelihood, linear models; illustrations will be based on recent research.
Terms: Spr
| Units: 4
| 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: 3
| UG Reqs: GER:DB-Math, WAY-AQR
HUMBIO 129M:
Measuring Global Health (HRP 241, MED 231)
Open to MD, graduate, and undergraduate students. Assessing the global burden of disease, its distribution among and within countries, its causes, and appropriate interventions requires rigorous quantitative approaches. This course develops skills in these areas by critically examining questions like: How do we know who is sick and where? How are risk factors incorporated into our projections of future disease trends? How do we combine mortality and morbidity in a meaningful way? What works for improving health efficiently? Workshops build familiarity with relevant data and their analysis. Prerequisite: coursework in statistics, biostatistics, quantitative epidemiology, econometrics, or equivalent.
Last offered: Spring 2013
| Units: 4
| UG Reqs: WAY-AQR, WAY-SMA
| Repeatable
for credit
HUMBIO 154:
Cancer Epidemiology
Epidemiological methods relevant to human research in cancer. The concepts of risk; case control, cohort, and cross-sectional studies; clinical trials; bias; confounding; interaction; screening; and causal inference. Social, political, economic, and ethical controversies surrounding cancer screening, prevention, and research. Prerequisite: Human Biology core or equivalent, or consent of instructor.
Terms: Spr
| Units: 4
| UG Reqs: WAY-AQR
HUMBIO 154A:
Outbreaks, Epidemics, & Disease Control Systems
This course teaches skills in disease control epidemiology. Students will engage in in-depth interdisciplinary study of disease detection and control strategies from a "systems science" perspective, which addresses classical public health dilemmas such as how to allocate limited resources, investigate disease outbreaks, and analyze common problems at the intersection of social policy and public health. Lectures and problem sets will focus on developing quantitative skills essential to public health practice, emphasizing the use of common mathematical techniques for disease control. Readings will complement the lectures and problem sets by offering critical perspectives from the sociology of public health. In-depth case studies from non-governmental organizations, departments of public health, and international agencies will drive the course.
Terms: Aut
| Units: 4
| UG Reqs: WAY-AQR
INTNLREL 1:
Introduction to International Relations (POLISCI 1)
Approaches to the study of conflict and cooperation in world affairs. Applications to war, terrorism, trade policy, the environment, and world poverty. Debates about the ethics of war and the global distribution of wealth.
Terms: Aut
| Units: 5
| UG Reqs: GER:DB-SocSci, WAY-AQR, WAY-SI
MATSCI 190:
Organic and Biological Materials (MATSCI 210)
Unique physical and chemical properties of organic materials and their uses.The relationship between structure and physical properties, and techniques to determine chemical structure and molecular ordering. Examples include liquid crystals, dendrimers, carbon nanotubes, hydrogels, and biopolymers such as lipids, protein, and DNA. Prerequisite: Thermodynamics and ENGR 50 or equivalent. Undergraduates register for 190 for 4 units; graduates register for 210 for 3 units.
Terms: Spr
| Units: 3-4
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA
MS&E 107:
Interactive Management Science (MS&E 207)
Analytical techniques such as linear and integer programming, Monte Carlo simulation, forecasting, decision analysis, and Markov chains in the environment of the spreadsheet. Probability management. Materials include spreadsheet add-ins for implementing these and other techniques. Emphasis is on building intuition through interactive modeling, and extending the applicability of this type of analysis through integration with existing business data structures.
Terms: Aut, Sum
| Units: 3
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR
MS&E 120:
Probabilistic Analysis
Concepts and tools for the analysis of problems under uncertainty, focusing on focusing on structuring, model building, and analysis. Examples from legal, social, medical, and physical problems. Topics include axioms of probability, probability trees, random variables, distributions, conditioning, expectation, change of variables, and limit theorems. Prerequisite: MATH 51.
Terms: Aut
| Units: 5
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-FR
MS&E 152:
Introduction to Decision Analysis (MS&E 152W)
How to make good decisions in a complex, dynamic, and uncertain world. People often make decisions that on close examination they regard as wrong. Decision analysis uses a structured conversation based on actional thought to obtain clarity of action in a wide variety of domains. Topics: distinctions, possibilities and probabilities, relevance, value of information and experimentation, relevance and decision diagrams, risk attitude. Students seeking to fulfill the Writing in the Major requirement should register for MS&E 152W.
Terms: Spr
| Units: 3-4
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-FR
MS&E 152W:
Introduction to Decision Analysis (MS&E 152)
How to make good decisions in a complex, dynamic, and uncertain world. People often make decisions that on close examination they regard as wrong. Decision analysis uses a structured conversation based on actional thought to obtain clarity of action in a wide variety of domains. Topics: distinctions, possibilities and probabilities, relevance, value of information and experimentation, relevance and decision diagrams, risk attitude. Students seeking to fulfill the Writing in the Major requirement should register for MS&E 152W.
Terms: Spr
| Units: 3-4
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-FR
OSPBER 40B:
Introductory Electronics
Electrical quantities and their measurement, including operation of the oscilloscope. Function of electronic components including resistor, capacitor, and inductor. Analog circuits including the operational amplifier and tuned circuits. Digital logic circuits and their functions. Lab assignments. Prerequisite: PHYSICS 43.
Terms: Aut, Win, Spr
| Units: 5
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA
OSPBER 50M:
Introductory Science of Materials
Topics include: the relationship between atomic structure and macroscopic properties of man-made and natural materials; mechanical and thermodynamic behavior of surgical implants including alloys, ceramics, and polymers; and materials selection for biotechnology applications such as contact lenses, artificial joints, and cardiovascular stents. No prerequisite.
Terms: Aut, Win, Spr
| Units: 4
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA
OSPFLOR 50M:
Introductory Science of Materials
Topics include: the relationship between atomic structure and macroscopic properties of man-made and natural materials; mechanical and thermodynamic behavior of surgical implants including alloys, ceramics, and polymers; and materials selection for biotechnology applications such as contact lenses, artificial joints, and cardiovascular stents. No prerequisite.
Terms: Aut, Win, Spr
| Units: 4
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA
OSPKYOTO 40K:
Introductory Electronics
Electrical quantities and their measurement, including operation of the oscilloscope. Function of electronic components including resistor, capacitor, and inductor. Analog circuits including the operational amplifier and tuned circuits. Digital logic circuits and their functions. Lab assignments. Prerequisite: PHYSICS 43.
Terms: Spr
| Units: 5
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA
OSPPARIS 40P:
Introductory Electronics
Electrical quantities and their measurement, including operation of the oscilloscope. Function of electronic components including resistor, capacitor, and inductor. Analog circuits including the operational amplifier and tuned circuits. Digital logic circuits and their functions. Lab assignments. Prerequisite: PHYSICS 43.
Terms: Aut, Spr
| Units: 5
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA
OSPPARIS 50M:
Introductory Science of Materials
Topics include: the relationship between atomic structure and macroscopic properties of man-made and natural materials; mechanical and thermodynamic behavior of surgical implants including alloys, ceramics, and polymers; and materials selection for biotechnology applications such as contact lenses, artificial joints, and cardiovascular stents. No prerequisite.
Terms: Aut, Win, Spr
| Units: 4
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA
PHIL 166:
Probability: Ten Great Ideas About Chance (PHIL 266, STATS 167, STATS 267)
Foundational approaches to thinking about chance in matters such as gambling, the law, and everyday affairs. Topics include: chance and decisions; the mathematics of chance; frequencies, symmetry, and chance; Bayes great idea; chance and psychology; misuses of chance; and harnessing chance. Emphasis is on the philosophical underpinnings and problems. Prerequisite: exposure to probability or a first course in statistics at the level of STATS 60 or 116.
Last offered: Spring 2013
| Units: 4
| UG Reqs: GER:DB-Math, WAY-AQR, WAY-FR
PHYSICS 50:
Astronomy Laboratory and Observational Astronomy
Introduction to observational astronomy emphasizing the use of optical telescopes. Observations of stars, nebulae, and galaxies in laboratory sessions with 16- and 24-inch telescopes at the Stanford Observatory. Meets one evening per week from dusk until well after dark at the Stanford Observatory. No previous physics required. Limited enrollment. Lab.
Terms: Aut, Sum
| Units: 3
| UG Reqs: GER: DB-NatSci, WAY-AQR, WAY-SMA
PHYSICS 100:
Introduction to Observational and Laboratory Astronomy
Designed for undergraduate physics majors but open to all students with a calculus-based physics background and some laboratory experience. Students make and analyze observations using telescopes at the Stanford Student Observatory. Topics include navigating the night sky, the physics of stars and galaxies, telescope instrumentation and operation, quantitative error analysis, and effective scientific communication. Limited enrollment. Prerequisites: prior completion of Physics 40 or PHYSICS 60 series.
Terms: Spr
| Units: 4
| UG Reqs: GER: DB-NatSci, WAY-AQR, WAY-SMA
PHYSICS 105:
Intermediate Physics Laboratory I: Analog Electronics
Analog electronics including Ohm's law, passive circuits and transistor and op amp circuits, emphasizing practical circuit design skills to prepare undergraduates for laboratory research. Short design project. Minimal use of math and physics, no electronics experience assumed beyond introductory physics. Prerequisite: PHYSICS 43 or PHYSICS 63.
Terms: Aut
| Units: 3
| UG Reqs: GER: DB-NatSci, WAY-AQR, WAY-SMA
PHYSICS 107:
Intermediate Physics Laboratory II: Experimental Techniques and Data Analysis
Experiments on lasers, Gaussian optics, and atom-light interaction, with emphasis on data and error analysis techniques. Students describe a subset of experiments in scientific paper format. Prerequisites: completion of PHYSICS 40 or PHYSICS 60 series, and PHYSICS 70 and PHYSICS 105. Recommended: PHYSICS 130, prior or concurrent enrollment in PHYSICS 120. WIM
Terms: Win
| Units: 4
| UG Reqs: WAY-AQR, WAY-SMA
PHYSICS 108:
Advanced Physics Laboratory: Project
Small student groups plan, design, build, and carry out a single experimental project in low-temperature physics. Prerequisites PHYSICS 105, PHYSICS 107.
Terms: Win, Spr
| Units: 4
| UG Reqs: WAY-AQR, WAY-SMA
PHYSICS 113:
Computational Physics
Numerical methods for solving problems in mechanics, electromagnetism, quantum mechanics, and statistical mechanics. Methods include numerical integration; solutions of ordinary and partial differential equations; solutions of the diffusion equation, Laplace's equation and Poisson's equation with relaxation methods; statistical methods including Monte Carlo techniques; matrix methods and eigenvalue problems. Short introduction to MatLab, used for class examples; class projects may be programmed in any language such as C. Prerequisites: MATH 53 and PHYS 120. Previous programming experience not required.
Terms: Aut
| Units: 4
| UG Reqs: GER: DB-NatSci, WAY-AQR, WAY-FR
POLISCI 1:
Introduction to International Relations (INTNLREL 1)
Approaches to the study of conflict and cooperation in world affairs. Applications to war, terrorism, trade policy, the environment, and world poverty. Debates about the ethics of war and the global distribution of wealth.
Terms: Aut
| Units: 5
| UG Reqs: GER:DB-SocSci, WAY-AQR, WAY-SI
POLISCI 4:
Introduction to Comparative Politics
Why are some countries prone to civil war and violence, while others remain peaceful? Why do some countries maintain democratic systems, while others do not? Why are some countries more prosperous than others? This course will provide an overview of the most basic questions in the comparative study of political systems, and will introduce the analytical tools that can help us answer them.
Terms: Spr
| Units: 5
| UG Reqs: GER:DB-SocSci, GER:EC-GlobalCom, WAY-AQR, WAY-SI
POLISCI 155:
Applied Quantitative Research in Political Science (PUBLPOL 157)
Introduction to methods of research design and data analysis used in quantitative political research. The course will cover issues that are typically missing from intro stats and econometrics courses but are central to applied political science research. Methods topics include: experimental and observational approaches to estimating causal effects, measuring political preferences from data, working with big data, and effective data presentation and visualization. These topics will be introduced using data sets from American politics, international relations, and comparative politics. The course will include an introduction to the widely used R statistical programming language. Satisfies quantitative methods requirement for the Political Science Research Honors Track. Prerequisites: Stat 60, Econ 102A, or instructor consent.
Terms: Spr
| Units: 5
| UG Reqs: WAY-AQR
POLISCI 241S:
Spatial Approaches to Social Science (ANTHRO 130D, ANTHRO 230D, URBANST 124)
This multidisciplinary course combines different approaches to how GIS and spatial tools can be applied in social science research. We take a collaborative, project oriented approach to bring together technical expertise and substantive applications from several social science disciplines. The course aims to integrate tools, methods, and current debates in social science research and will enable students to engage in critical spatial research and a multidisciplinary dialogue around geographic space.
Terms: Win
| Units: 5
| UG Reqs: WAY-AQR, WAY-SI
POLISCI 292:
Political Behavior
This research seminar will survey important topics in the study of mass political behavior including public opinion, political participation, partisanship and voting. Open only to students in the Political Science Research Honors Track.
Terms: Win
| Units: 5
| UG Reqs: WAY-AQR, WAY-SI
PSYCH 10:
Introduction to Statistical Methods: Precalculus (STATS 60, STATS 160)
Techniques for organizing data, computing, and interpreting measures of central tendency, variability, and association. Estimation, confidence intervals, tests of hypotheses, t-tests, correlation, and regression. Possible topics: analysis of variance and chi-square tests, computer statistical packages.
Terms: Aut, Win, Spr, Sum
| Units: 5
| UG Reqs: GER:DB-Math, WAY-AQR, WAY-FR
PUBLPOL 104:
Economic Policy Analysis (ECON 150, PUBLPOL 204)
The relationship between microeconomic analysis and public policy making. How economic policy analysis is done and why political leaders regard it as useful but not definitive in making policy decisions. Economic rationales for policy interventions, methods of policy evaluation and the role of benefit-cost analysis, economic models of politics and their application to policy making, and the relationship of income distribution to policy choice. Theoretical foundations of policy making and analysis, and applications to program adoption and implementation. Prerequisites: ECON 50 and ECON 102B.
Terms: Win, Spr
| Units: 4-5
| UG Reqs: WAY-AQR
PUBLPOL 157:
Applied Quantitative Research in Political Science (POLISCI 155)
Introduction to methods of research design and data analysis used in quantitative political research. The course will cover issues that are typically missing from intro stats and econometrics courses but are central to applied political science research. Methods topics include: experimental and observational approaches to estimating causal effects, measuring political preferences from data, working with big data, and effective data presentation and visualization. These topics will be introduced using data sets from American politics, international relations, and comparative politics. The course will include an introduction to the widely used R statistical programming language. Satisfies quantitative methods requirement for the Political Science Research Honors Track. Prerequisites: Stat 60, Econ 102A, or instructor consent.
Terms: Spr
| Units: 5
| UG Reqs: WAY-AQR
SOC 180B:
Introduction to Data Analysis (SOC 280B)
Methods for analyzing and evaluating quantitative data in sociological research. Students will be taught how to run and interpret multivariate regressions, how to test hypotheses, and how to read and critique published data analyses. Limited enrollment; preference to Sociology majors.
Terms: Win
| Units: 5
| UG Reqs: GER:DB-SocSci, WAY-AQR, WAY-SI
STATS 48N:
Riding the Data Wave
Imagine collecting a bit of your saliva and sending it in to one of the personalized genomics company: for very little money you will get back information about hundreds of thousands of variable sites in your genome. Records of exposure to a variety of chemicals in the areas you have lived are only a few clicks away on the web; as are thousands of studies and informal reports on the effects of different diets, to which you can compare your own. What does this all mean for you? Never before in history humans have recorded so much information about themselves and the world that surrounds them. Nor has this data been so readily available to the lay person. Expression as "data deluge'' are used to describe such wealth as well as the loss of proper bearings that it often generates. How to summarize all this information in a useful way? How to boil down millions of numbers to just a meaningful few? How to convey the gist of the story in a picture without misleading oversimplifications? To answer these questions we need to consider the use of the data, appreciate the diversity that they represent, and understand how people instinctively interpret numbers and pictures. During each week, we will consider a different data set to be summarized with a different goal. We will review analysis of similar problems carried out in the past and explore if and how the same tools can be useful today. We will pay attention to contemporary media (newspapers, blogs, etc.) to identify settings similar to the ones we are examining and critique the displays and summaries there documented. Taking an experimental approach, we will evaluate the effectiveness of different data summaries in conveying the desired information by testing them on subsets of the enrolled students.
Terms: Aut
| Units: 3
| UG Reqs: WAY-AQR, WAY-FR
STATS 60:
Introduction to Statistical Methods: Precalculus (PSYCH 10, STATS 160)
Techniques for organizing data, computing, and interpreting measures of central tendency, variability, and association. Estimation, confidence intervals, tests of hypotheses, t-tests, correlation, and regression. Possible topics: analysis of variance and chi-square tests, computer statistical packages.
Terms: Aut, Win, Spr, Sum
| Units: 5
| UG Reqs: GER:DB-Math, WAY-AQR, WAY-FR
STATS 110:
Statistical Methods in Engineering and the Physical Sciences
Introduction to statistics for engineers and physical scientists. Topics: descriptive statistics, probability, interval estimation, tests of hypotheses, nonparametric methods, linear regression, analysis of variance, elementary experimental design. Prerequisite: one year of calculus.
Terms: Aut, Sum
| Units: 4-5
| UG Reqs: GER:DB-Math, WAY-AQR, WAY-FR
STATS 116:
Theory of Probability
Probability spaces as models for phenomena with statistical regularity. Discrete spaces (binomial, hypergeometric, Poisson). Continuous spaces (normal, exponential) and densities. Random variables, expectation, independence, conditional probability. Introduction to the laws of large numbers and central limit theorem. Prerequisites: MATH 52 and familiarity with infinite series, or equivalent.
Terms: Aut, Spr, Sum
| Units: 3-5
| UG Reqs: GER:DB-Math, WAY-AQR, WAY-FR
STATS 141:
Biostatistics (BIO 141)
Introductory statistical methods for biological data: describing data (numerical and graphical summaries); introduction to probability; and statistical inference (hypothesis tests and confidence intervals). Intermediate statistical methods: comparing groups (analysis of variance); analyzing associations (linear and logistic regression); and methods for categorical data (contingency tables and odds ratio). Course content integrated with statistical computing in R.
Terms: Aut
| Units: 3-5
| UG Reqs: GER:DB-Math, WAY-AQR
STATS 166:
Statistical and Machine Learning Methods for Genomics (BIO 268, BIOMEDIN 245, CS 373, GENE 245, STATS 345)
Computational algorithms for human genetics research. Topics include: permutation, bootstrap, expectation maximization, hidden Markov model, and Markov chain Monte Carlo. Rationales and techniques illustrated with existing implementations commonly used in population genetics research, disease association studies, and genomics analysis. Prerequisite: GENE 244 or consent of instructor
Last offered: Spring 2013
| Units: 3
| UG Reqs: WAY-AQR
STATS 167:
Probability: Ten Great Ideas About Chance (PHIL 166, PHIL 266, STATS 267)
Foundational approaches to thinking about chance in matters such as gambling, the law, and everyday affairs. Topics include: chance and decisions; the mathematics of chance; frequencies, symmetry, and chance; Bayes great idea; chance and psychology; misuses of chance; and harnessing chance. Emphasis is on the philosophical underpinnings and problems. Prerequisite: exposure to probability or a first course in statistics at the level of STATS 60 or 116.
Last offered: Spring 2013
| Units: 4
| UG Reqs: GER:DB-Math, WAY-AQR, WAY-FR
STATS 191:
Introduction to Applied Statistics
Statistical tools for modern data analysis. Topics include regression and prediction, elements of the analysis of variance, bootstrap, and cross-validation. Emphasis is on conceptual rather than theoretical understanding. Applications to social/biological sciences. Student assignments/projects require use of the software package R. Recommended: 60, 110, or 141.
Terms: Win
| Units: 3-4
| UG Reqs: GER:DB-Math, WAY-AQR
THINK 1:
The Science of MythBusters
How do scientists actually go about answering practical questions? How does science function as a way of understanding our world, and -- importantly -- how does it differ from other approaches?nnAs its point of departure, this course will examine and critique selected episodes of the television series, MythBusters (Discovery Channel), which tests the validity of many popular beliefs, including myths, rumors, traditions, and stories, in a variety of imaginative ways. We will take the opportunity to delve more deeply into the applicability of the scientific method in understanding a vast range of real-world problems, and into the practical acquisition of fact-based knowledge, which together form the cornerstone of all science. The intellectual framework of this course will be based, first and foremost, on skeptical inquiry, combined with the other key ingredients of good science, which include: careful experimental design, meticulous observation and measurement, quantitative analysis and modeling, the evaluation of statistical significance, recovery from failure, and the continuous cycle of hypothesis and testing. We hope to inculcate in our students " a taste for questioning, a sense of observation, intellectual rigor, practice with reasoning, modesty in the face of facts, the ability to distinguish between true and false, and an attachment to logical and precise language. " (Yves Quéré, 2010 Science 330:605).
Terms: Aut
| Units: 4
| UG Reqs: College, THINK, WAY-AQR, WAY-SMA
THINK 3:
Breaking Codes, Finding Patterns
Why are humans drawn to making and breaking codes? To what extent is finding patterns both an art and a science? nnnCryptography has been used for millennia for secure communications, and its counterpart, cryptanalysis, or code breaking, has been around for just slightly less time. In this course we will explore the history of cryptography and cryptanalysis including the Enigma code, Navajo windtalkers, early computer science and the invention of modern Bayesian inference. We will try our own hand at breaking codes using some basic statistical tools for which no prior experience is necessary. Finally, we will consider the topic of patterns more generally, raising such questions as why we impute meaning to patterns, such as Biblical codes, and why we assume a complexity within a pattern when it¿s not there, such as the coincidence of birthdays in a group.
Terms: Aut
| Units: 4
| UG Reqs: College, THINK, WAY-AQR, WAY-FR
THINK 23:
The Cancer Problem: Causes, Treatments, and Prevention
How has our approach to cancer been affected by clinical observations, scientific discoveries, social norms, politics, and economic interests?nnnApproximately one in three Americans will develop invasive cancer during their lifetime; one in five Americans will die as a result of this disease. This course will expose you to multiple ways of approaching the cancer problem, including laboratory research, clinical trials, population studies, public health interventions, and health care economics. We will start with the 18th century discovery of the relationship between coal tar and cancer, and trace the role of scientific research in revealing the genetic basis of cancer. We will then discuss the development of new treatments for cancer as well as measures to screen for and prevent cancer, including the ongoing debate over tobacco control. Using cancer as a case study, you will learn important aspects of the scientific method including experimental design, data analysis, and the difference between correlation and causation. You will learn how science can be used and misused with regard to the public good. You will also learn about ways in which social, political, and economic forces shape our knowledge about and response to disease.
Terms: Spr
| Units: 4
| UG Reqs: College, THINK, WAY-AQR, WAY-SMA
THINK 33:
The Water Course
How can we balance all the competing, and growing, demands for freshwater? When you turn on your tap, where does the water come from?nnnWater is essential for life. But, around the world, governments and citizens are challenged to balance the human demands on our freshwater resources, while protecting the integrity of natural ecosystems. At the core of the challenge is our limited understanding, in many parts of the world, of the watershed-scale hydrologic cycle ¿ the course that the water follows from rainfall, to river, to groundwater, to ocean, to atmosphere, and back again. The Water Course takes students along that course, exploring the role that natural systems and human systems play in impacting both the quantity and quality of our freshwater. We will consider questions surrounding decisions about water allocation, and discuss new scientific methods that provide support for science-based decision making in the management of freshwater resources. You will connect global-scale issues to your personal experiences with water through a quarter-long project investigating both water quantity and water quality for a city or watershed in the western U.S. You will produce a numerical model, and make approximations, to describe a complex natural system. Using online resources you will explore the pathway that water takes from rainfall to your tap.
Last offered: Spring 2013
| Units: 4
| UG Reqs: College, THINK, WAY-AQR, WAY-SMA
THINK 39:
Energy? Understanding the Challenge, Developing Solutions
How much energy do we need to run the world and what energy resources can we use? How do we convert those resources into energy services? What are the economic, environmental, and security costs of energy services? How will energy markets address the challenges of reducing greenhouse gas emission? Energy is the lifeblood of human societies. Energy use is intricately woven through the fabric of the productive (and comfortable) lives we live in the developed world. We use energy to move and sometimes make fresh water, grow food, transport it to markets, heat, cool, and light our dwellings and workplaces, communicate and compute, and travel the world. We worry about energy security and fret about the cost of gasoline. And as world population continues to grow and the developing world seeks to use energy for the services we enjoy, the challenge of supplying the energy the world needs will grow commensurately. Energy is also a primary way human activities interact with global air, water, and biological systems that provide essential services to us and the planet. Balancing our interactions with those systems will require dramatic changes to the world¿s energy systems in the decades to come. This course examines the energy challenges, opportunities, and choices that lie ahead.
Terms: Aut
| Units: 4
| UG Reqs: College, THINK, WAY-AQR
URBANST 124:
Spatial Approaches to Social Science (ANTHRO 130D, ANTHRO 230D, POLISCI 241S)
This multidisciplinary course combines different approaches to how GIS and spatial tools can be applied in social science research. We take a collaborative, project oriented approach to bring together technical expertise and substantive applications from several social science disciplines. The course aims to integrate tools, methods, and current debates in social science research and will enable students to engage in critical spatial research and a multidisciplinary dialogue around geographic space.
Terms: Win
| Units: 5
| UG Reqs: WAY-AQR, WAY-SI
