Instructor: Yixin Lin

Course on canvas.dartmouth.edu.

Syllabus

Date Topics References
Mar 25 Course overview & Discrete probability distributions Chapter 1 Download Chapter 1
Mar 27  Discrete probability distributions & Continuous probability densities Chapter 1 & 2
Mar 29  Continuous probability densities Chapter 2 Download Chapter 2
Apr 1 Continuous probability densities
Apr 3 Permutations Chapter 3 Download Chapter 3
Apr 5 Combinations Chapter 3
Apr 8 Combinations
Apr 9 Important distributions Chapter 5 Download Chapter 5
Apr 12 Important distributions
Apr 15 Important densities (Normal Distribution Table.pdf Download Normal Distribution Table.pdf) Chapter 5
Apr 17 Midterm 1
Apr 19 Discrete conditional probability Chapter 4 Download Chapter 4
Apr 22 Discrete conditional probability
Apr 24 Discrete conditional probability
Apr 26 Continuous conditional probability Chapter 4
Apr 29 Expected value and variance for discrete random variables Chapter 6 Download Chapter 6
May 1 Expected value and variance for discrete random variables
May 3 Expected value and variance for continuous random variables Chapter 6
May 6 Sums of discrete random variables Chapter 7 Download Chapter 7
May 8 Midterm 2
May 10 Sums of continuous random variables Chapter 7
May 13 Law of large numbers for discrete random variables Chapter 8 Download Chapter 8
May 15 Central limit theorem Chapter 9 Download Chapter 9
May 17 Central limit theorem
May 20 Generating Functions Chapter 10 Download Chapter 10
May 22 Generating Functions
May 24 Markov chains Chapter 11 Download Chapter 11
May 29 Markov chains
June 3 3:00-6:00 pm Final Exam