Text: Probability with R by R. Dobrow (textbook R scripts and errata)
(freely available as Ebook through Five Colleges library catalog and through Moodle course page)
| Date |
Topic |
Assigned Work and Class Materials |
| 9/4-6 | ||
| Tu |
Introduction to probability (1.1-1.4) To install R: R and RStudio To use R via server: r.amherst.edu |
|
| Th | 1.5-1.6 Counting principles and intro to R lab | |
| 9/10-13 |
||
| M |
3.4 More counting principles and practice problems | |
| Tu |
1.7-1.10 Random variables and simulation in R lab | |
| Th |
2.1-2.3 Conditional probability and practice problems | Due today: 1.6, 1.12, R problem |
| 9/17-20 |
||
| M |
2.4-2.6 Bayes formula and counting principles lab | |
| Tu |
3.1-3.3 Independence and practice problems | Due today: R problem |
| Th |
3.4-3.6 Binomial distribution and practice problems | Due today: 1.16, 1.22, 1.28, 1.36, 3.18, 2.2, 2.6, 2.10 |
| 9/24-27 | ||
| M |
3.7-3.9 Poisson distribution and practice problems | |
| Tu |
Class starts at noon today 4.1-4.4 Random variables |
Due today: R problem |
| Th |
4.6-4.10 Variance of RVs and practice problems | Due today: 2.14, 2.17, 2.26, 3.4, 3.22, 3.24, 3.26, 3.31, 3.36, 3.40 |
| 10/1-4 |
||
| M |
5.1-5.2 Discrete distributions and R code | |
| Tu |
5.3-5.5 More on discrete distributions and practice problems | Due today: R problem |
| Th |
6.1-6.3 Continuous distributions and practice problems | Due today: 4.4, 4.12, 4.18, 4.28, 4.32, 4.36, 4.40, 4.46, 4.51 |
| 10/6-9 | Mini-break | |
| 10/11 |
||
| Th |
6.4 Expectation and variance (practice problems from actuarial exam) | Due today: 5.2, 5.10, 5.11, 5.20, 5.23 |
| 10/15-18 |
||
| M |
Review problems with exam1 overview and More review problems for class |
|
| Tu |
Exam 1 | |
| Th |
6.5-6.6 Exponential distribution and R code | Due today: R problem |
| 10/22-25 | ||
| M |
6.7 Joint distributions | |
| Tu |
6.8-6.9 Joint distributions and practice problems and R code | Due today: R problem |
| Th |
6.10-6.11 More functions of RVs and practice problems | Due today: 5.25, 5.28, 5.30, 6.2, 6.12, 6.20 |
| 10/29-11/1 |
||
| M |
Finish Ch6, 10.2 | |
| Tu |
7.1 Normal distribution and R code | Due today: R problem |
| Th |
7.2 Gamma distribution and practice problems in R | Due today: 6.22, 6.24, 6.30, 6.32, 6.34 |
| 11/5-8 |
||
| M |
7.3-7.6 Poisson process, beta, Pareto and R code | |
| Tu |
8.1 Conditional distributions | Project topic due today (email brief description) |
| Th |
8.2-8.4 Conditional expectation and practice problems | Due today: 6.40, 10.10, 7.2, 7.6, 7.15, 7.21 |
| 11/12-15 |
||
| M |
8.5-8.6 Conditional variance and practice problems | |
| Tu |
9.1-9.2 Law of Large Numbers and R code | Due today: R problem |
| Th |
9.1-9.2 Law of Large Numbers, cont'd, and R code | Due today: 7.22, 7.24, 7.29, 7.36, 7.40, 8.2, 8.4 |
| 11/17-24 | Thanksgiving break | |
| 11/26-29 |
||
| M |
9.3 Monte Carlo integration and R code | |
| Tu |
9.4 Central Limit Theorem and R code | Due today: R problem |
| Th |
9.5 Moment-generating functions and practice problems | Due today: 8.12, 8.16, 8.22, 8.28, 9.8 |
| 12/3-6 |
||
| M |
Review problems with exam 2 overview | |
| Tu |
Exam 2 (solns) | |
| Th |
10.1 Bivariate normal and R code | Due today: R problem |
| 12/10-11 | ||
| M | 10.6 MCMC and R code | |
| Tu | Wrap up | Due today: 9.12, 9.16, 9.24, 9.26, 9.28, 9.29, 10.4, 10.5 |
Project report due Wed 12/12 (email) Final exam is Fri 12/21 9am-noon in SMudd 014 |
Review for final exam |