MATH 3020 - Applied Probability and Statistics for Computer Science

3 Credit Hours
Prerequisites: MATH 2212 with a C or higher.
Description
This course covers theory and applications of probability models, random variables, discrete and continuous probability distributions, joint and conditional distributions, sampling distributions, central limit theorem, hypothesis testing, confidence intervals, and exposure to simple linear regression. Time-to-failure probability models are considered.