Course Detail
Units:
3.0
Course Components:
Lecture
Enrollment Information
Enrollment Requirement:
Prerequisites: "C-" or better in (MATH 1220 OR MATH 1320 OR MATH 1321) OR AP Calculus BC score of 4 or better.
Requirement Designation:
Quantitative Intensive BS
Course Attribute:
Quantitative Reasoning BS
Description
An introduction to probability theory and statistics, with an emphasis on solving problems in electrical and computer engineering. Topics in probability include discrete and continuous random variables, probability distributions, sums and functions of random variables, the law of large numbers, and the central limit theorem. Topics in statistics include sample mean and variance, estimating distributions, correlation, regression, and hypothesis testing. Engineering applications include failure analysis, process control, communication systems, and speech recognition.