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Course Catalog

UGRD > MATH > 345

Probability and Statistics I

Description:
Introduction to the fundamental ideas and techniques of probability theory. Topics covered: properties of probability, independence, conditional probability, discrete and continuous random variables, density and distribution function, expectation, variance, covariance, moments, correlation, joint distribution, marginal, some common distributions such as uniform, Bemoulli, binomial, exponential, Poisson and normal distribution, and the Central Limit Theorem. The course also introduces some basic ideas of statistical analysis, e.g. parameter estimation and hypothesis testing.

Offered in:

2015 Fall

Section Class Number Weekly Schedule Time Instructor Location
01 1720 TuTh 04:00 PM - 05:15 PM Noel,Alfred G M02-0419 More Info
02 3177 MW 04:00 PM - 05:15 PM Degras-Valabregue,David Abel M01-0209 More Info

2016 Fall

Section Class Number Weekly Schedule Time Instructor Location
01 1661 TuTh 04:00 PM - 05:15 PM Noel,Alfred G W01-0019 More Info
02 2994 MW 04:00 PM - 05:15 PM
W01-0020 More Info

2016 Spring

Section Class Number Weekly Schedule Time Instructor Location
01 1694 MW 04:00 PM - 05:15 PM Vuletic,Mirjana M03-0617 More Info
02 3238 TuTh 04:00 PM - 05:15 PM Noel,Alfred G W01-0010 More Info

2016 Summer

Section Class Number Weekly Schedule Time Instructor Location
01A 1255 MTuWTh 10:00 AM - 11:30 AM Mukherjee,Some Nath Y01-1320 More Info