E35 - ESE 326 - Probability And Statistics For Engineering - Department of Electrical and Systems Engineering

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Department of Electrical and Systems Engineering, Washington University in St. Louis

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E35 - ESE 326 - Probability And Statistics For Engineering

Total Credits: 3

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Study of probability and statistics together with engineering applications. Probability and statistics: random variables, distribution functions, density functions, expectations, means, variances, combinatorial probability, geometric probability, normal random variables, joint distribution, independence, correlation, conditional probability, Bayes theorem, the law of large numbers, the central limit theorem. Applications: reliability, quality control, acceptance sampling, linear regression, design and analysis of experiments, estimation, hypothesis testing. Examples are taken from engineering applications. Prerequisites: Math 233 or equivalent.

Course Offerings:

Semester	Section	Instructor	Day/Time	Room
Spring 2009	01	Hasting	TuTh 11:30AM-1:00PM	Brown 100
Fall 2008	01	Hasting	TuTh 11:30AM-1:00PM	Brown 100
Summer 2008	31	McGregor	TuTh 5:30PM-8:30PM	Lopata Hall 101
Spring 2008	01	Schaettler	TuTh 11:30AM-1:00PM	Brown 100
Fall 2007	01	Schaettler	TuTh 11:30AM-1:00PM	Louderman 458
	A	Schaettler	M 11:00AM-12:00PM	Cupples II 100
	B	Schaettler	M 1:00PM-2:00PM	Cupples I 199
	C	Schaettler	Tu 1:00PM-2:00PM	Lab Sciences 201

Department of Electrical and Systems Engineering, Washington University in St. Louis
One Brookings Drive, Box 1127, St. Louis, Missouri 63130
Office Location: Bryan 201, Phone: (314) 935-5565, Fax: (314) 935-7500