ECON 50: Economic Analysis I
Individual consumer and firm behavior under perfect competition. The role of markets and prices in a decentralized economy. Monopoly in partial equilibrium. Economic tools developed from multivariable calculus using partial differentiation and techniques for constrained and unconstrained optimization. Prerequisites:
Econ 1, and
Math 51 or
CME 100. Must be taken for a Letter grade if majoring/minoring in Economics.
Terms: Aut, Win, Sum
| Units: 5
| UG Reqs: GER:DB-Math, WAY-FR, WAY-SI
ECON 51: Economic Analysis II
Neoclassical analysis of general equilibrium, welfare economics, imperfect competition, externalities and public goods, intertemporal choice and asset markets, risk and uncertainty, game theory, adverse selection, and moral hazard. Multivariate calculus is used. Prerequisite:
ECON 50.
Terms: Win, Spr, Sum
| Units: 5
| UG Reqs: WAY-FR, WAY-SI
Instructors:
Kastl, J. (PI)
;
Scheuer, F. (PI)
;
Xiao, M. (PI)
;
Eren, E. (TA)
;
Feng, X. (TA)
;
Perez, S. (TA)
;
Poon, W. (TA)
;
Sheng, L. (TA)
;
Smith, T. (TA)
;
Sun, T. (TA)
ECON 136: Market Design
Use of economic theory and analysis to design allocation mechanisms and market institutions. Course focuses on three areas: the design of matching algorithms to solve assignment problems, with applications to school choice, entry-level labor markets, and kidney exchanges; the design of auctions to solve general resource allocation problems, with applications to the sale of natural resources, financial assets, and advertising; and the design of platforms and exchanges, with applications to internet markets. Emphasis on connecting economic theory to practical applications. Students must write term paper. Prerequisites: recommended:
ECON 51.
Terms: Spr
| Units: 5
| UG Reqs: WAY-FR
Instructors:
Levin, J. (PI)
;
Farronato, C. (TA)
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)
;
Li, X. (TA)
ECON 160: Game Theory and Economic Applications
Introduction to game theory and its applications to economics. Topics: strategic and extensive form games, dominant strategies, Nash equilibrium, subgame-perfect equilibrium, and Bayesian equilibrium. The theory is applied to repeated games, voting, auctions, and bargaining with examples from economics and political science. Prerequisites: Working knowledge of calculus and basic probability theory.
Terms: Win
| Units: 5
| UG Reqs: WAY-FR, WAY-SI
Instructors:
Shelef, O. (PI)
;
Poon, W. (TA)
ECON 180: Honors Game Theory
Rigorous introduction to game theory and its applications. Topics include solution concepts for static and dynamic games of complete and incomplete information, repeated games, bargaining, and reputation formation. applications from economics, political science, biology, and computer science. Prerequisites: Experience with abstract mathematics and willingness to work hard. No prior knowledge of economics required.
Terms: Aut
| Units: 5
| UG Reqs: WAY-FR, WAY-SI
Instructors:
Wolitzky, A. (PI)
;
Tebaldi, P. (TA)
ECON 182: Honors Market Design
Rigorous introduction to the theory of matching and resource allocation, and its application to practical market design. Theory covers two-sided matching, "house allocation" problems, random assignment, and their variants. Applied topics include school choice, labor market, house allocation, and organ allocation for transplantation. Final paper required.nnForms a sequence with
ECON 180 and
ECON 181, but can be taken independently.nnPrerequisites: Experience with abstract mathematics and willingness tonnwork hard. No prior knowledge of economics is required, although basic knowledge in game theory is useful.
Terms: Spr
| Units: 5
| UG Reqs: WAY-FR
Instructors:
Kojima, F. (PI)
EE 41: Physics of Electrical Engineering (ENGR 40P)
How everything from electrostatics to quantum mechanics is used in common high-technology products. Electrostatics are critical in micro-mechanical systems used in many sensors and displays, and Electromagnetic waves are essential in all high-speed communication systems. How to propagate energy on transmission lines, optical fibers,and in free space. Which aspects of modern physics are needed to generate light for the operation of a DVD player or TV. Introduction to semiconductors, solid-state light bulbs, and laser pointers. Hands-on labs to connect physics to everyday experience. Prerequisites:
Physics 43
Terms: Win
| Units: 5
| UG Reqs: GER:DB-EngrAppSci, WAY-FR, WAY-SMA
Instructors:
Solgaard, O. (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
ENGR 155A.
Terms: Win, Sum
| Units: 4
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-FR
Instructors:
Pauly, J. (PI)
;
Shi, X. (PI)
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
Instructors:
Kahn, J. (PI)
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