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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.

Pre Requisites: Pre-req = MATH 141

Offered in:

2017 Fall

Section Class Number Schedule/Time Instructor Location
01 3949 TuTh
4:00 - 5:15 pm
Noel,Alfred G W01-0020
Session: Regular
Class Dates: 09/05/2017 - 12/13/2017
Capacity: 30
Enrolled: 31
Status: Closed
Credits: 3/3
Class Notes:
Pre Requisites: Pre-req = MATH 141
Course Attributes:
02 5035 MW
4:00 - 5:15 pm
Degras-Valabregue,David Abel W01-0020
Session: Regular
Class Dates: 09/05/2017 - 12/13/2017
Capacity: 30
Enrolled: 20
Status: Open
Credits: 3/3
Class Notes:
Pre Requisites: Pre-req = MATH 141
Course Attributes:

2018 Spring

Section Class Number Schedule/Time Instructor Location
01 7243 MW
4:00 - 5:15 pm
Vuletic,Mirjana M01-0614
Session: Regular
Class Dates: 01/22/2018 - 05/09/2018
Capacity: 30
Enrolled: 30
Status: Closed
Credits: 3/3
Class Notes:
Pre Requisites: Pre-req = MATH 141
Course Attributes:
02 8392 TuTh
4:00 - 5:15 pm
Noel,Alfred G M03-0201C
Session: Regular
Class Dates: 01/22/2018 - 05/09/2018
Capacity: 30
Enrolled: 30
Status: Closed
Credits: 3/3
Class Notes:
Pre Requisites: Pre-req = MATH 141
Course Attributes: