Probability and Statistics for Computer Science - MAT 226

The course is designed to introduce computer science students to the essential probability and statistics concepts needed in their field. The material covers fundamental statistical concepts, including measures of location and variability, graphical techniques, sampling methods, and data interpretation using models. It also covers concepts about basic probability, discrete and continuous random variables, and their respective distributions. Students will also learn about key sampling distributions, the central limit theorem, and the construction of confidence intervals and hypothesis testing using t-distribution and chi-square distribution. Practical applications will be demonstrated using R/RStudio software to illustrate these concepts. Prerequisite: MAT 213.