Lectures
Mon Wed Fri 12:502:05pm in 300300
Week  Monday  Wednesday  Friday 

1 
9/22 Administriva, Counting

9/24 Permutations and Combinations

9/26 Intro to Probability

2 
9/29 Conditional Probability

10/1 Independence

10/3 Conditional Independence, Discrete Random Variables, Probabilty Mass Functions, and Expected Value

3 
10/6 Variance & Discrete Distributions

10/8 More Discrete Distributions

10/10 Continuous Random Variables

4 
10/13 Normal and Exponential Distributions

10/15 Joint Distributions

10/17 Independent Random Variables

5 
10/20 More Independent RVs

10/22 Conditional Distributions

10/24 Properties of Expectation & QuickSort

6 
10/27 Covariance

10/29 Covariance, Correlation, & Conditional Expectation

10/31 More Conditional Expectation, Moment Generating Functions, & Helpful Inequalities

7 
11/3 Finish up topics, Midterm Review 
11/5 MIDTERM EXAM (no lecturesee you at 7pm) 
11/7 Laws of Large Numbers (weak and strong), Central Limit Theorem

8 
11/10 Central Limit Theorem, Parameter Estimation

11/12 Parameter Estimation, Maximum Likelihood Estimation

11/14 Maximum Likelihood Estimation, Bayesian Prediction

9 
11/17 Bayesian Prediction

11/19 Machine Learning and Naive Bayes

11/21 Logistic Regression

  Thanksgiving break  Thanksgiving break  Thanksgiving break 
10 
12/1 (lecture canceled)

12/3 Final Review

12/5 Study break: no class! 