Lecture, 3 credits, 3 hours per week. Pre-requisites: MA127, MA113. This course aims to lay the foundation of probability and statistics for students to better understand modern machine learning algorithms and artificial intelligence technology, such as random variables, normal distribution, sampling methods, parameter estimation, hypothesis testing, design of experiments, etc. We emphasize important topics in practical applications.