Instructor: Yixin (Kathy) Lin
Course on canvas.dartmouth.edu.⇗
Syllabus
Daily Schedule Date Topics References June 24 NO CLASS June 27 Course overview & Discrete probability distributions Chapter 1 Download Chapter 1 June 29 Discrete probability distributions & Continuous probability densities Chapter 1 & 2 June 30 Continuous probability densities Chapter 2 Download Chapter 2 July 1 Continuous probability densities July 4 Independence Day --- NO CLASS July 6 Permutations Chapter 3 Download Chapter 3 July 7 Combinations Chapter 3 July 8 Combinations July 11 Important distributions Chapter 5 Download Chapter 5 July 13 Review July 15 Important densities (Normal Distribution Table.pdf Download Normal Distribution Table.pdf) Chapter 5 July 18 Discrete conditional probability Chapter 4 Download Chapter 4 July 20 Discrete conditional probability July 22 Discrete conditional probability July 25 Continuous conditional probability Chapter 4 July 27 Expected value and variance for discrete random variables Chapter 6 Download Chapter 6 July 29 Expected value and variance for discrete random variables Aug 1 Expected value and variance for continuous random variables Chapter 6 Aug 3 Review Aug 5 Sums of discrete random variables Chapter 7 Download Chapter 7 Aug 8 Sums of continuous random variables Chapter 7 Aug 10 Law of large numbers for discrete random variables Chapter 8 Download Chapter 8 Aug 12 Central limit theorem Chapter 9 Download Chapter 9 Aug 15 Central limit theorem Aug 17 Generating Functions Chapter 10 Download Chapter 10 Aug 19 Generating Functions Aug 22 Markov chains Chapter 11 Download Chapter 11 Aug 24 Markov chains Assignments Topic Percentage of Total Grade Quizzes 15% Weekly Homework 20% Midterm Exams 35% Final Exam 30%