Course details: Mid terms (30%) - Night time Finals (70%) - 9am
Course contents: - Basic concepts of probability - Sample space and events - Permutation and combination - Definition/conditional of probability - Multiplicative rule - total Porbability theorem - Independent events
- Basic conecept of random variables Algebric 2D Density function Marginal and conditional probability distribution functions Independent random variables Definitions and properties of mean Try to see if there are alteranitive wherether if there is another points
Common Probability Distributions Discrete uniform distribution Binomial Normal Geometirc Negative Continuous Exponential