SC2500 PROBABILITY & STATISTICS

This course introduces the fundamental concepts of probability and statistics that underpin modern data science and machine learning. Students will learn both the foundations, such as probability theory, random variables, and statistical inference, and practical applications, including estimation, regression/classification models, Bayesian methods, and modern sampling techniques. By integrating probability and statistics with computational methods, the course aims to develop both rigorous understanding and practical problem-solving skills.