Covers fundamentals of probability, combinatorics, discrete and continuous random variables, jointly distributed random variables, and limit theorems. Using probability to introduce fundamentals of statistics, including Bayesian and classical inference. Statistics and Data Sciences 321 and 431 may not both be counted. The equivalent of four lectures hours a week.