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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:

2016 Fall

Section Class Number Schedule/Time Instructor Location
01 1661 TuTh
16:00 - 17:15
Noel,Alfred G W01-0019
Session: Regular
Class Dates: 09/06/2016
Capacity: 30
Enrolled: 28
Status: Open
Credits: 3/3
Class Notes:
Pre Requisites: Pre-req = MATH 141
Course Attributes:
02 2994 MW
16:00 - 17:15
Degras-Valabregue,David Abel W01-0020
Session: Regular
Class Dates: 09/06/2016
Capacity: 30
Enrolled: 29
Status: Open
Credits: 3/3
Class Notes:
Pre Requisites: Pre-req = MATH 141
Course Attributes:

2017 Spring

Section Class Number Schedule/Time Instructor Location
01 1554 MW
16:00 - 17:15
Zarringhalam,Kourosh M01-0213
Session: Regular
Class Dates: 01/23/2017
Capacity: 30
Enrolled: 31
Status: Closed
Credits: 3/3
Class Notes:
Pre Requisites: Pre-req = MATH 141
Course Attributes:
02 2806 TuTh
16:00 - 17:15
Noel,Alfred G M01-0213
Session: Regular
Class Dates: 01/23/2017
Capacity: 30
Enrolled: 30
Status: Closed
Credits: 3/3
Class Notes:
Pre Requisites: Pre-req = MATH 141
Course Attributes: