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Civil and Environmental Engineering 

360  Risk Assessment and Management. Spring 
Fundamentals of integrated risk assessment and risk-based decision analysis. Stochastic models of natural and man-made hazards. Evaluation of failure chances and consequences. Decision criteria; acceptable risk. Risk control based on event tree, fault tree, system reliability, and random processes in space and time. Issues in risk-based regulation, liability, and insurance. Case studies involving energy-related technologies, the environment, civil infrastructure, and financial risk. Prerequisite: 245. E. H. Vanmarcke. 
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Economics 

300  Introduction to Econometric Methods  
303  Introduction to Econometric Methods: A Mathematical Approach. Fall  QR  
An introduction to quantitative methods in economics: probability, random variables, sampling, descriptive statistics, estimation and hypothesis testing, regression analysis, stochastic formulations of economic relationships and systems analysis of these relationships. Two 90-minute classes, one preceptorial (300) or one class (303). Prerequisite: 101 or 102. Mathematics 200 or 201 or equivalent required for 303. P. Willen (300), Staff (303). 
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Electrical Engineering 

485  Signal Analysis and Communication Systems. Fall 
Modulation of analog and digital information: continuous-wave modulation; pulse modulation of digital data; multiplexing and pulse modulation of analog signals. Probability, random variables, and random signals; correlation functions and power spectra. Analysis of communication systems: probability of error in digital modulation and signal-to-noise ratio analysis of analog modulation. Three hours of lectures, one three-hour laboratory. Prerequisites: 301, 380. H. V. Poor. 
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486  Digital Communications and Networks. Spring 
Introduction to digital communication systems and networks, introductory information and coding theory, digital modulation, layered architecture concept of networks, introductory traffic and queuing theory, local area networks and media access control, error control in networks, switching and multiplexing, ATM (asynchronous transfer mode) in B-ISDN (broadband integrated services digital networks). Three hours of lectures. Prerequisites: 301, 380. H. Kobayashi. 
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488  Image Processing and Transmission. Fall 
Introduction to the basic theory and techniques of two- and three-dimensional image processing. Topics include image perception, 2-D image transforms, enhancement, restoration, compression, tomography and image understanding. Applications to HDTV, machine vision, and medical imaging, etc. Three hours of lectures, one laboratory. Prerequisite: 301. S. C. Schwartz. 
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Psychology 

251  Quantitative Methods. Spring  QR 
A general introduction to statistical techniques, both descriptive and inferential, employed by psychologists. Required for concentrators. Two lectures, one two-hour laboratory. J. Jemmott. 
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Sociology 

382  Sociological Research Methods. Fall QR 
An overview of the research process in social science, including techniques of sampling, methods of data collection, principles of measurement, problems of inference and proof, basic methods of data analysis, and ethical considerations. Two lectures, one preceptorial. H. F. Taylor. 
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Woodrow Wilson School 

303  Quantitative Analysis and Public Policy (also Politics 345). Fall  II/QR 
A study of elementary techniques of data analysis, stressing applications in public policy. It will include measurement, descriptive statistics, data collection, basic probability models, significance testing, and correlation and regression. There will be some training in the use of computers. No previous training in statistics is required. Two lectures, one preceptorial. N. Goldman. 
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