WorkSheet, Quiz, Assignment 
Material Covered 


1 
Limits, (Normal and Partial) Derivatives, Series, Definition of Definite Integral, 2.1 Counting, Equally Likely Conditional Probability, 2.2 Permuations and Combinations 
2 
2.1 Counting, Equally Likely Conditional Probability, 2.2 Permuations and Combinations, 2.3 Multinomial and Hypergeometric Distributions, 2.4 Maximum Likelihood Estimation

3 
2.3 Multinomial and Hypergeometric Distributions, 2.4 Maximum Likelihood Estimation, 2.5 Sample Space & Events, 2.6 Axioms of (Conditional) Probability

4 
2.5 Sample Space & Events, 2.6 Axioms & Theory of Probability, 2.7 Total Probability, Bayes Formula, 2.8 Independence

5 
2.7 Total Probability, Bayes Formula, 2.8 Independence, 2.9 Texas HoldEm, 3.1 Discrete Vectors and pmf.

6 
2.9 Texas HoldEm,
3.1 Discrete Vectors and pmf,
3.2 Distribution and Reliability
3.3 Expectation, Covariance

7 
3.1 Discrete Vectors and pmf,
3.2 Distribution and Reliability
3.3 Expectation, Covariance

8 
3.2 Distribution and Reliability,
3.3 Expectation, Covariance,
3.4 Moments, MGFs,
3.5 Independence of Random Vectors

9 
3.4 Moments, MGFs,
3.5 Independence of Random Vectors,
3.6 Law of Large Numbers, 3.7 Conditional Expectation

10 
3.6 Law of Large Numbers, 3.7 Conditional Expectation,
3.8 Conditional Expectation Estimators,
3.9 Applications
