2024 Fall > UGRD > math > math 345
Probability and Statistics
Course #: math 345
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, Bernoulli, 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
| Section | Class Number | Schedule/Time | Instructor | Location | |
|---|---|---|---|---|---|
| 01 | 1552 | TuTh 4:00 - 5:15 pm |
Kaplan,Daniel | Wheatley W01-0031 | |
|
Session:
Regular
Class Dates:
09/03/2024 - 12/13/2024
Capacity:
25
Enrolled:
26
Status:
Closed
Credits:
3/3
Class Notes:
Pre Requisites:
Pre-req = MATH 141
Course Attributes:
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| 02 | 2271 | MW 4:00 - 5:15 pm |
Lert,Peter W | McCormack M02-0420 | |
|
Session:
Regular
Class Dates:
09/03/2024 - 12/13/2024
Capacity:
25
Enrolled:
26
Status:
Closed
Credits:
3/3
Class Notes:
Pre Requisites:
Pre-req = MATH 141
Course Attributes:
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| 03 | 3767 | TuTh 5:30 - 6:45 pm |
Tokcan,Neriman | University Hall Y02-2120 | |
|
Session:
Regular
Class Dates:
09/03/2024 - 12/13/2024
Capacity:
25
Enrolled:
28
Status:
Closed
Credits:
3/3
Class Notes:
Pre Requisites:
Pre-req = MATH 141
Course Attributes:
|
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