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 lecture--see 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!