1. Sample space, random events, and probability. 2. Discrete and continuous random variables. 3. Distributions, densities, joint distribution, and marginal distributions. 4. Conditional probability and independence, Moments, mean, variance, covariance, Chebyshev's inequality, and momentgeneration functions. 5. Special probability distributions, densities, and their applications.

CILO-1: Illustrate probability problems in real world. CILO-2: Solve some simple problems in probability theory. CILO-3: Demonstrate the basic concepts such as independence and correlations. CILO-4: Use the special distributions such as normal distribution and uniform distribution.