| reading | homework | individual research project | final project |
| Week | Tuesday | Topics | Thursday | Topics |
|---|---|---|---|---|
| 1 | 8/25 | What will this class be like? getting started with R |
8/27 | watch: Writing code in RStudio (optional) Rizzo: 1.1–1.5, 2.1–2.3 RStudio parametric probability distributions |
| 2 | 9/1 | read: intro to Rmarkdown (optional) Rizzo: 1.6–1.15, 2.4–2.5 multivariate Gaussian distribution limit theorems RMarkdown |
9/3 | Find an R style guide one option Rlab 1: using R to explore probability distributions (due:9/11 11:59pm) |
| 3 | 9/8 | Rizzo: 3.1–3.2 IRP: Henry (animation viz.) inverse transform method |
9/10 | Rizzo: 3.3–3.4 acceptance-rejection method |
| 4 | 9/15 | Rizzo: 3.5 IRP: Henry (foreach package) mixtures |
9/17 | reading: Find your own ggplot guide good intro, not so good intro (but great reference) Rlab 2: RNG (due:9/25 11:59pm) |
| 5 | 9/22 | Rizzo: 12.1–12.2 histograms univariate density estimation |
9/24 | Rizzo: 12.3, 5.5 2D histograms contour plots bivariate density estimation |
| 6 | 9/29 | Rizzo: 5.4 surface plots and 3D scatter plots multivariate density estimation due: wave 1 IRPs |
10/1 | Rizzo: 5.1–5.3 scatterplot matrices panel plots correlation plots |
| 7 | 10/6 | Rizzo: 5.7 PCA due: wave 1 reviews |
10/8 | reading: __________ Rlab 3: visualization and density estimation (due:10/17 11:59pm) |
| 8 | 10/13 | reading: __________ numerical integration MC integration due: wave 2 IRPs |
10/15 | reading: __________ importance sampling |
| 9 | 10/20 | reading: __________ importance sampling begin looking for project data/method due: wave 2 reviews |
10/22 | reading: __________ MC methods for estimation |
| 10 | 10/27 | reading: __________ application due: wave 3 IRPs |
10/29 | reading: __________ Rlab 4: MC methods (due:11/6 11:59pm) |
| 11 | 11/3 | reading: __________ bootstrap due: wave 3 reviews |
11/5 | reading: __________ jackknife due: EDA selected dataset |
| 12 | 11/10 | reading: __________ resampling for regression models due: wave 4 IRPs |
11/12 | reading: __________ Rlab 5: bootstrap and jackknife (due:11/20 11:59pm) due: proposed analysis, goals, division of duties |
| 13 | 11/17 | reading: __________ one-dimensional optimization project progress check-in meetings this week due: wave 4 reviews |
11/19 | reading: __________ two-dimensional optimization project progress check-in meetings this week |
| TG | 11/24 | GA vignette (asynchronous) genetic algorithms |
11/26 | no classes |
| 14 | 12/1 | reading: __________ EM algorithm |
12/3 | reading: __________ Rlab 6: optimization (due:12/10 11:59pm) |
| 15 | 12/8 | reading: __________ presentations: Group A Group B Group C Group D |
12/10 | reading: __________ presentations: Group E Group F Group G Group H |
| 16 | 12/15 | no class due: final projects (11:59pm) |
12/17 |