EE 223: Data Analysis and Interpretation

I was a teaching assistant with Prof. Prasanna Chaporkar as the course instructor in Autumn 2019.

Syllabus

The course syllabus includes:

1. Review of Basic Principle of Counting, Permutation and Combination
2. Axioms of Probability
3. Conditional Probability and Independence
4. Random Variables
5. Joint Distribution of Random Variables,
6. Expectation and Conditional Expectation
7. Moment Generating Functions
8. Statistics: Sufficient, Ancillary, Complete
9. Estimators: MVUE, MLE, MMSE
10. Central Limit Theorem
11. Law of Large Numbers