CSE 312 Spring 2013
Course Calendar

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 April Monday Tuesday Wednesday Thursday Friday 01 12:00-12:50 KaneCSE 220 13:30-14:20 LectureMGH 389OverviewReading: BT 1.1, 1.2, 1.6, Intro to Schnapsen, Rules of Schnapsen 02 15:30-16:20 TanvirCSE 216 03 13:30-14:20 LectureMGH 389Counting: product rule, permutationsReading: Safety First (Schnapsen analysis) 15:00-16:00 MartinCSE 538 04 SectionPage rank, permutation exercises 05 13:30-14:20 LectureMGH 389Counting: k-permutations, combinationsTrick mechanics 08 12:00-12:50 KaneCSE 220 13:30-14:20 LectureMGH 389Counting: more combinations, pigeonhole 09 15:30-16:20 TanvirCSE 216 10 13:30-14:20 LectureMGH 389probability axioms, equiprobable outcomes 15:00-16:00 MartinCSE 538 11 Sectioninclusion-exclusion, probability start-of-quiz-section HW1 due 12 13:30-14:20 LectureMGH 389conditional probabilityReading: BT 1.3, All the Aces 15:30-17:30 Schnapsen!CSE 403 15 12:00-12:50 KaneCSE 220 13:30-14:20 LectureMGH 389more conditional probability 16 15:30-16:20 TanvirCSE 216 17 13:30-14:20 LectureMGH 389total probability, Bayes' RuleReading: BT 1.4 15:00-16:00 MartinCSE 538 16:05-18:00 Schnapsen!CSE 691 18 SectionHW1 solutions 19 13:30 HW2 due 13:30-14:20 LectureMGH 389independenceReading: BT 1.5 22 12:00-12:50 KaneCSE 220 13:30-14:20 LectureMGH 389more independence 23 15:30-16:20 TanvirCSE 216 24 13:30-14:20 LectureMGH 389random variablesReading: BT 2.1-2.3 15:00-16:00 MartinCSE 538 16:05-18:00 Schnapsen!CSE 670 25 SectionHW2 solutions 26 13:30 HW3 due 13:30-14:20 LectureMGH 389expectationReading: BT 2.4, Expected Game Points 29 12:00-12:50 KaneCSE 220 13:30-14:20 LectureMGH 389expected game points in SchnapsenReading: It All Depends 30 15:30-16:20 TanvirCSE 216 01 13:30-14:20 LectureMGH 389variance 15:00-16:00 MartinCSE 538 16:05-18:00 Schnapsen!CSE 670 02 SectionHW3 solutions 03 13:30 HW4 due 13:30-14:20 LectureMGH 389joint PMFReading: BT 2.5-2.7, How Much Help...

 May Monday Tuesday Wednesday Thursday Friday 06 12:00-12:50 KaneCSE 220 13:30-14:20 LectureMGH 389Midterm review, HW4 solutions 07 15:30-16:20 TanvirCSE 216 08 13:30-14:20 Midterm examMGH 389 15:00-16:00 MartinCSE 538 09 Sectionmidterm solutions; joint, marginals, and independence 10 13:30 HW5 due 13:30-14:20 LectureMGH 241binomial distribution 13 12:00-12:50 KaneCSE 220 13:30-14:20 LectureMGH 389Poisson distribution 14 15:30-16:20 TanvirCSE 216 15 13:30-14:20 LectureMGH 389continuous random variablesReading: BT 3.1-3.2 15:00-16:00 MartinCSE 538 16 Sectiongeometric and hypergeometric distributions 17 13:30-14:20 LectureJHN 075uniform, exponential, normalReading: BT 3.3 20 12:00-12:50 KaneCSE 220 13:30-14:20 LectureMGH 389central limit theoremReading: BT 5.4 21 15:30-16:20 TanvirCSE 216 22 13:30-14:20 LectureMGH 389analysis of randomized Quicksort 15:00-16:00 MartinCSE 538 23 Sectionreview of distributions; Freivalds' algorithm: pptx, pdf 24 13:30 HW6 due 13:30-14:20 LectureMGH 389Markov and Chebyshev inequalitiesReading: BT 5.1 27 Memorial Day 28 15:30-16:20 TanvirCSE 216 29 13:30-14:20 LectureMGH 389Chernoff bounds 15:00-16:00 MartinCSE 538 30 SectionHW6 solutions 16:30-18:00 Schnapsen!CSE 670 31 13:30 HW7 due 13:30-14:20 LectureMGH 389law of large numbersReading: BT 5.2, 5.5

 June Monday Tuesday Wednesday Thursday Friday 03 12:00-12:50 KaneCSE 220 13:30-14:20 LectureMGH 389maximum likelihood estimateReading: BT 9.1 04 15:30-16:20 TanvirCSE 216 05 13:30-14:20 LectureMGH 389confidence intervals 15:00-16:00 MartinCSE 538 06 SectionReview for final exam 07 13:30 HW8 due 13:30-14:20 LectureMGH 389final exam reviewreview of distributions 10 10:30-11:30 KaneCSE 220 14:30-16:20 Final examMGH *241* 11 12 13 14