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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 Schay,Geza M01-0209 More Info

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 Schay,Geza M01-0209 More Info

2015 Spring

Section Class Number Weekly Schedule Time Instructor Location
01 1747 MW 04:00 PM - 05:15 PM Schay,Geza W01-0010 More Info
02 3440 TuTh 04:00 PM - 05:15 PM Noel,Alfred G W01-0009 More Info

2015 Spring

Section Class Number Weekly Schedule Time Instructor Location
01 1747 MW 04:00 PM - 05:15 PM Schay,Geza W01-0010 More Info
02 3440 TuTh 04:00 PM - 05:15 PM Noel,Alfred G W01-0009 More Info

2015 Summer

Section Class Number Weekly Schedule Time Instructor Location
01A 1282 MTuWTh 10:00 AM - 11:30 AM Mukherjee,Some Nath W01-0063 More Info

2015 Summer

Section Class Number Weekly Schedule Time Instructor Location
01A 1282 MTuWTh 10:00 AM - 11:30 AM Mukherjee,Some Nath W01-0063 More Info