Week 1:
* Sample Space, Events and Probability
* Properties of Probability
* R set up
Week 2:
* Equally likely Outcomes
* Conditional Probability
* Bayes Theorem
Week 3:
* Independence
* Sampling and Repeated Trials
Week 4:
* Sampling and Repeated Trials(Cont.,)
* Sampling and Repeated Trials(Cont.,)
* Gambler's Ruin
Week 5:
* Sampling with and without replacement
* Sampling without replacement
* Hypergeometric Distribution and Discrete Random Variables
Week 6:
* Discrete Random Variables
Week 7:
* Conditional, Joint and Marginal Distributions
* Memoryless property of Geometric Distribution
Week 8: * Expectation of Random Variables
* Properties of Expectation
* Variance of Discrete Random Variables
Week 9:
* Expectation :Independence and Functions
* Markov and chebyschev Inequalities
* Conditonal Expectation and Covariance
Week 10: * Functions of Random Variables
* Sums of Independent Random Variables
* Functions and Independence
Week 11:
* Continuous Random Variables
* Exponential and Normal Random Variable
* Convergence of binomial to Normal
Week 12:
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