EE178 Lecture Notes

1. Introduction,
2. Probabilistic Models
3. Conditional Probability and Independence
4. Counting
5. Random Variables
6. Expectation
7. Multiple Random Variables
8. Continuous Random Variables
9. Multiple Continuous Random Variables
10. Midterm Review
11. Derived densities
12. Transforms
13. Iterated Expectation and Least Squares Estimation
14. Stochastic Processes I: Bernoulli and Poisson Processes
15. Stochastic Process II: Markov Chains
16. Laws of Large Numbers
17. The Central Limit Theorem
18. Introduction to Statistics
19. Review