The “Reading” column in the table below contains a number on which it refers to a numbered item in the Books & Online Resources List. For example “[PSDR]” refers to the first item in the list, which is our main text book titled “Probability, Statistics, and Data: A fresh approach using R”.
| Day | Topic | Pre-Reading [PSDR] | Post-Reading [PSDR] | Mini-Assignment | Deadline |
|---|---|---|---|---|---|
| 8/30 | Orientation & Calculus Review | Syllabus | - | [pdf] [Rmd] [tex] | 8/31 |
| 9/1 | Basics of Probability Theory Part 1 | Ch. 2 (Preamble), Ch. 2.1 | - | [pdf] [Rmd] [tex] | 9/1 |
| 9/6 | Basics of Probability Theory Part 2 | Ch. 2.1 Cont. & Ch. 2.4 | Ch. 2.2 | [pdf] [Rmd] [tex] | 9/6 |
| 9/8 | Independence & Conditional Probability | Ch. 2.3 (Preamble) & Ch. 2.3.1 | - | [pdf] [Rmd] [tex] | 9/8 |
| | | Introduction to R & R Markdown | Ch. 1 | - | - | - |
| - | Module 1 Due | - | - | [pdf] [zip] | 9/13 |
| 9/13 | Bayes Theorem | Ch. 2.3.3 | - | [pdf] [Rmd] [tex] | 9/13 |
| 9/15 | Random Variables & Probability Functions | - | - | [pdf] [Rmd] [tex] | 9/15 |
| 9/20 | Discrete Random Variables (DRVs) | Ch. 3 (Preamble) | - | [pdf] [Rmd] [tex] | 9/20 |
| 9/22 | Probability Mass Functions | Ch. 3.1 | - | [pdf] [Rmd] [tex] | 9/22 |
| 9/27 | Expected Values for DRVs | Ch. 3.2 | - | [pdf] [Rmd] [tex] | 9/27 |
| 9/29 | - | - | - | - | 9/29 |
| 10/4 | Moment Generating Functions for DRVs | Ch. 3.4 | - | [pdf] [Rmd] [tex] | 10/4 |
| 10/6 | Variance for DRVs | Ch. 3.5 | - | [pdf] [Rmd] [tex] | 10/6 |
| 10/11 | Covariance and Correlation for DRVs | Ch. 3.5 Cont. | Ch. 3.6 | [pdf] [Rmd] [tex] | 10/11 |
| 10/13 | - | - | - | - | 10/13 |
| - | Fall Vacation | - | - | - | - |
| 10/25 | Continuous Random Variables (CRVs)} | - | - | [pdf] [Rmd] [tex] | 10/25 |
| 10/27 | Joint & Marginal Distributions for CRVs | - | - | [pdf] [Rmd] [tex] | 10/27 |
| 11/1 | Covariance & Correlation for CRVs | - | - | [pdf] [Rmd] [tex] | 11/1 |
| 11/3 | Conditioning & Independence for CRVs | - | - | [pdf] [Rmd] [tex] | 11/3 |
| 11/8 | Law of Total Probability for CRVs | - | - | [pdf] [Rmd] [tex] | 11/8 |
| 11/10 | - | - | - | - | 11/10 |
| 11/15 | Moment Generating Functions for CRVs | - | - | [pdf] [Rmd] [tex] | 11/15 |
| 11/17 | Exponential & Normal Random Variables Theory & Applications | - | - | [pdf] [Rmd] [tex] | 11/17 |
| 11/22 | Simulations of Random Variables Using R | - | - | [zip] | 11/22 |
| - | Thanksgiving Vacation | - | - | - | - |
| 11/29 | The Law of Large Numbers | - | - | [zip] | 11/29 |
| 12/1 | The Central Limit Theorem | - | - | [zip] | 12/1 |
| 12/6 | Maximum Likelihood Estimation | - | - | [pdf] [Rmd] [tex] | 12/6 |
| 12/8 | - | - | - | - | 12/8 |
| - | Module 2 Due | - | - | [zip] | 12/15 |
[IPSR] Pishro-Nik, H. (2016). Introduction to probability, statistics, and random processes.