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 |