printer friendly pageECON 145: Labor Economics
Analysis and description of labor markets. Determination of employment, hours of work, and wages. Wage differentials. Earnings inequality. Trade unions and worker co-operatives. Historical and international comparisons.. Prerequisites:
ECON 51 (Public Policy majors may take
PUBLPOL 51 as a substitute for
ECON 51),
ECON 102B.
Terms: Aut
| Units: 5
| UG Reqs: GER:EC-Gender, WAY-AQR, WAY-SI
Instructors:
Pencavel, J. (PI)
;
Zohar, T. (TA)
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. Undergraduate Public Policy students are required to take this class for a letter grade and enroll in this class for five units.
Terms: Win
| 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 51 (Public Policy majors may take
PUBLPOL 51 as a substitute for
ECON 51),
ECON 102A.
Last offered: Winter 2016
| UG Reqs: WAY-AQR, WAY-SI
ECON 190: Introduction to Financial Accounting
This is a Case and Problem Discussion course. 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, Spr
| Units: 5
| UG Reqs: WAY-AQR
ECON 191: Introduction to Cost Accounting
Focuses on how managers use accounting information for decision making. Students will study product and service costing, activity based costing, performance management and evaluation, CVP analysis, forecasting, factors to be considered in pricing decision, capital investment analysis, and quality management and measurement.
Terms: Win
| Units: 5
| UG Reqs: WAY-AQR
Instructors:
Clerici-Arias, M. (PI)
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
CME 102.
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: WAY-FR, GER:DB-EngrAppSci, WAY-AQR
EE 103: Introduction to Matrix Methods (CME 103)
Introduction to applied linear algebra with emphasis on applications. Vectors, norm, and angle; linear independence and orthonormal sets; applications to document analysis. Clustering and the k-means algorithm. Matrices, left and right inverses, QR factorization. Least-squares and model fitting, regularization and cross-validation. Constrained and nonlinear least-squares. Applications include time-series prediction, tomography, optimal control, and portfolio optimization. Undergraduate students should enroll for 5 units, and graduate students should enroll for 3 units. Prerequisites:
MATH 51 or
CME 100, and basic knowledge of computing (
CS 106A is more than enough, and can be taken concurrently).
EE103/CME103 and
Math 104 cover complementary topics in applied linear algebra. The focus of EE103 is on a few linear algebra concepts, and many applications; the focus of
Math 104 is on algorithms and concepts.
Terms: Aut, Spr
| Units: 3-5
| UG Reqs: WAY-FR, GER:DB-Math, WAY-AQR
Instructors:
Boyd, S. (PI)
;
Osgood, B. (PI)
;
Tse, D. (PI)
;
Angeris, G. (TA)
;
Chang, S. (TA)
;
Daniel, J. (TA)
;
Degleris, A. (TA)
;
Go, C. (TA)
;
Harvey, B. (TA)
;
Jani, T. (TA)
;
Jimenez, S. (TA)
;
Kamath, G. (TA)
;
Li, L. (TA)
;
Lin, J. (TA)
;
Nishimura, M. (TA)
;
Patel, N. (TA)
;
Pathak, R. (TA)
;
Prakash, L. (TA)
;
Sholar, J. (TA)
;
Spear, L. (TA)
EE 108: Digital System Design
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. *In Autumn, enrollment preference is given to EE majors. Any EE majors who must enroll in Autumn are invited to contact the instructor. Formerly
EE 108A.
Terms: Aut, Win
| Units: 4
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA
Instructors:
Bertrand, A. (PI)
;
Mitra, S. (PI)
;
Bertrand, A. (TA)
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more instructors for EE 108 »
Instructors:
Bertrand, A. (PI)
;
Mitra, S. (PI)
;
Bertrand, A. (TA)
;
Hale, C. (TA)
;
Majumdar, A. (TA)
;
Morris-Downing, T. (TA)
;
Pleus, A. (TA)
ENERGY 20N: Technology in the Greenhouse
The evidence that human activities are changing the climate is overwhelming. Energy use is woven throughout the fabric of modern societies, and energy systems are also a primary way that humans interact with the global Earth systems like climate. We know enough about the potential impacts of climate change to see that we need to transform the world¿s energy systems to a much cleaner set of technologies with much lower greenhouse gas emissions. Economies that use energy in a clean, cost-effective way will be much more competitive in the future. The clean energy transition is now underway, with reductions in coal use and rapid growth in solar and wind deployment, but there is much more to do to limit the adverse impacts of climate change. This seminar explores technology options available to make the changes needed, in the developed and developing worlds. There is no shortage of energy available for our use. Instead, the challenge is to convert those energy resources into services like electricity and transportation, and that conversion requires technology, as well as policies and markets that enable innovation. The scale of the world¿s energy systems is dauntingly large, and we will need a well-diversified set of options to meet the challenge. Wind, solar, nuclear, carbon capture and storage for fossil fuel use, modified agriculture, electric (and automated) vehicles, advanced air conditioning, and many other technology options exist. We will consider these technologies and ask what barriers will have to be addressed if they are to be deployed at a scale large enough to reduce the impact climate change. The format will be discussions of technologies and their potential with a project and student presentations toward the end of the quarter.
Terms: Spr
| Units: 3
| UG Reqs: WAY-AQR, WAY-SMA
Instructors:
Orr, F. (PI)
;
Jiang, J. (TA)
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