What you will learn:
- Review Bootcamp lessons based on set theory and calculus.
- Understand underlying probability axioms.
- Apply elementary probability counting rules, including permutations and combinations.
- Become familiar with the concepts of independence and conditional probability.
- Learn how to update probabilities via Bayes Rule.
- Get introduced to discrete and continuous random variables.
- Learn about the properties of random variables, including the expected value, variance, and moment generating function.
- Study functions of random variables, and how they can be used in computer simulation applications.
- Recognize joint(two-dimensional) random variables and how to extract marginal(one-dimensional) and conditional information from them.
- Study the concepts of independence and correlation.
- Work with the R statistical package.
