CSE 312b Winter 2018
Lecture Topics

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DateDescription
January 3 Overview; Counting: product rule
Reading: BT 1.1, 1.2, 1.6, Intro to Schnapsen, Rules of Schnapsen
Notes, HW1 LaTeX source
January 5 Counting: permutations
Reading: Safety First (Schnapsen analysis)
Trick mechanics, Notes
January 8 Counting: combinations, complementing
Notes
January 10 Counting: Inclusion-exclusion, pigeonhole principle; intro to probability
Reading: BT 1.3
Notes
January 12 Equally likely outcomes
Notes, HW2 LaTeX source
January 17 Conditional probability, Law of Total Probability
Reading: BT 1.5
Notes
January 19 Bayes' Theorem
Reading: BT 1.4
Notes, HW3 LaTeX source
January 22 Independent events
Reading: BT 2.1-2.3
Notes
January 24 Random variables, expectation, geometric random variable
Reading: BT 2.4, Expected Game Points, last year's exercise
Notes
January 26 Naive Bayes classifier
Reading: Naive Bayes notes
Slides (PDF, PPTX), Notes, HW4 LaTeX source
January 29 Linearity of expectation
Reading: BT 2.7
Notes
January 31 Variance
Notes
February 2 Independent random variables; uniform, Bernoulli, and binomial distributions
Notes
February 5 Error-correcting codes, Poisson distribution
Reading: BT 3.1-3.2
Slide pack 6 slides 67-80, general Hamming code, HW5 LaTeX source
February 9 Continuous random variables; uniform distribution
Reading: BT 3.3
Notes
February 12 Exponential distributions
Reading: BT 7.4
Notes, HW6 LaTeX source
February 14 Normal distribution, Central Limit Theorem
Slide pack 7, slides 20-33, Demo
February 16 Approximating binomial via Central Limit Theorem, continuity correction
Reading: BT 7.1
Slide pack 10, slides 30-42
February 21 Central Limit Theorem example, Markov inequality
Reading: BT 7.2, 7.5
Notes, HW7 LaTeX source
February 23 Chebyshev and Chernoff inequalities, law of large numbers
Reading: Maximum likelihood estimators
Notes
February 26 Maximum likelihood estimators
Reading: Bias and confidence intervals
Notes
February 28 Maximum likelihood estimators for normal distribution; bias
Notes, HW8 LaTeX source
March 2 Confidence intervals
Notes
March 5 Probabilistic algorithms: Quicksort, matrix multiplication
Freivalds' algorithm, Notes
March 7 Probabilistic minimum cut algorithm
Notes
March 9 HW8 solutions, review, wrap-up
Notes