Probability and Statistics

(3 Credit Hours) · Undergraduate

This course provides a comprehensive introduction to the theory of probability and statistics, with a focus on applications in computer science and engineering. Key topics include discrete and continuous random variables, joint probability distributions, the central limit theorem, point and interval estimation, and hypothesis testing. The course emphasizes both the theoretical foundations and practical applications, equipping students with essential tools for analyzing and interpreting data in technical fields.