printer friendly pageCHEMENG 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
Instructors:
Libicki, S. (PI)
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
Instructors:
Moalli, J. (PI)
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 or 52.
Terms: Win, Sum
| Units: 4
| UG Reqs: GER:DB-Math, WAY-AQR, WAY-FR
Instructors:
Khayms, V. (PI)
;
Ahluwalia, V. (TA)
;
Barmherzig, D. (TA)
...
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Instructors:
Khayms, V. (PI)
;
Ahluwalia, V. (TA)
;
Barmherzig, D. (TA)
;
Hegde, V. (TA)
;
Katanforoosh, K. (TA)
;
Kumar, P. (TA)
;
Maher, G. (TA)
;
Santucci, A. (TA)
;
Yin, H. (TA)
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. Implementation of numerical methods in MATLAB programming assignments. Prerequisites:
MATH 51, 52, 53; prior programming experience (MATLAB or other language at level of
CS 106A or higher).nGraduate students should take it for 3 units and undergraduate students should take it for 4 units.
Terms: Win, Sum
| Units: 3-4
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-FR
Instructors:
Dunham, E. (PI)
;
Orozco Bohorquez, C. (PI)
;
Allison, K. (TA)
...
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Instructors:
Dunham, E. (PI)
;
Orozco Bohorquez, C. (PI)
;
Allison, K. (TA)
;
Martin, E. (TA)
;
Skochdopole, N. (TA)
CS 102: Big Data: Tools and Techniques, Discoveries and Pitfalls
Aimed primarily at students who may not major in CS but want to learn about big data and apply that knowledge in their areas of study. Many of the world's biggest discoveries and decisions in science, technology, business, medicine, politics, and society as a whole, are now being made on the basis of analyzing massive data sets, but it is surprisingly easy to come to false conclusions from data analysis alone, and privacy of data connected to individuals can be a major concern. This course provides a broad introduction to big data: historical context and case studies; privacy issues; data analysis techniques including databases, data mining, and machine learning; sampling and statistical significance; data analysis tools including spreadsheets, SQL, Python, R; data visualization techniques and tools. Tools and techniques are hands-on but at a cursory level, providing a basis for future exploration and application. Prerequisites: high school AP computer science,
CS106A, or other equivalent programming experience; comfort with statistics and spreadsheets helpful but not required.
Terms: Spr
| Units: 3-4
| UG Reqs: WAY-AQR
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, multivariate calculus at the level of
MATH 51 or
CME 100 or equivalent.
Terms: Aut, Win, Spr
| Units: 3-5
| UG Reqs: WAY-AQR, WAY-FR, GER:DB-EngrAppSci
Instructors:
Piech, C. (PI)
;
Sahami, M. (PI)
;
Agrawal, A. (TA)
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Apostolatos, A. (TA)
;
Chen, M. (TA)
;
Eric, M. (TA)
;
Goodman, I. (TA)
;
Haaland, C. (TA)
;
Hsu, I. (TA)
;
Lin, P. (TA)
;
Luo, A. (TA)
;
Martinez, P. (TA)
;
Nigam, P. (TA)
;
Puranik, A. (TA)
;
Rao, I. (TA)
;
Salloum, J. (TA)
;
Shapiro, J. (TA)
;
Sun, Y. (TA)
;
Wang, D. (TA)
;
Weiler, A. (TA)
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 70)
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.
Terms: Win
| Units: 3
| UG Reqs: GER: DB-NatSci, WAY-AQR, WAY-SMA
EARTHSYS 113: Earthquakes and Volcanoes (GEOPHYS 90)
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/tpwwqpl2ryxfty6stq8wo2j78fj06ikg
Terms: Spr
| Units: 3
| UG Reqs: WAY-SMA, GER:DB-EngrAppSci, WAY-AQR
EARTHSYS 140: The Energy-Water Nexus (GEOPHYS 80)
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.
Last offered: Spring 2014
| UG Reqs: WAY-AQR
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