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%