CS109 Class Slides

Date Topic Slides
Jan. 11 BST Permutations PDF
Jan. 11 Combinations PDF
Jan. 13 Introduction to Probability PDF
Jan. 18 Conditional Probability and Bayes Theorem PDF
Jan. 20 More on Conditional Probability and Independence PDF
Jan. 23 Random Variables and Expectation PDF
Jan. 25 Variance and Binomial Distribution PDF
Jan. 27 Poisson and Other Discrete Distributions PDF
Jan. 30 Continuous Distributions PDF
Feb. 1 Normal and Exponential Distributions PDF
Feb. 3 Joint Distributions PDF
Feb. 6 Independent Random Variables PDF
Feb. 6 Expectation of Sum PDF
Feb. 8 Sums of Independent Random Variables and Conditional Distributions PDF
Feb. 10 Beta Distribution PDF
Feb. 10 Properties of Expectation and QuickSort Analysis PDF
Feb. 13 Covariance PDF
Feb. 14 Midterm Review Session Slides PDF
Feb. 14 Midterm Review Session Slides with notes added PDF
Feb. 15 Correlation and Conditional Expectation PDF
Feb. 17 Moment Generating Functions PDF
Feb. 22 Helpful Inequalities and Bounds PDF
Feb. 24 Law of Large Numbers and Central Limit Theorem PDF
Feb. 27 Parameter Estimation and Method of Moments PDF
Mar. 1 Maximum Likelihood Estimation PDF
Mar. 3 Bayesian Estimation PDF
Mar. 6 Machine Learning and Naive Bayes Classifier PDF
Mar. 8 Logistic Regression PDF
Mar. 10 Generating probabilities and Monte Carlo simulation PDF
Mar. 13 Modeling Uncertainty and Utility PDF
Mar. 15 Final Exam Review PDF

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