| Week |
Day |
Date |
Topic |
Lecture Slides |
R Software Session |
Homework |
Projects |
| 1 |
Tue. |
05.12 |
Course Overview and Information |
Slides |
|
|
|
| Wed. |
05.13 |
Review of Simple Linear Regression |
Slides |
|
|
|
| Thu. |
05.14 |
Multiple Linear Regression (MLR): Model Setup, Estimation |
Slides |
|
|
|
| Fri. |
05.15 |
MLR Inference: Individual t-Tests and General Linear F-Tests |
Slides |
R Notebook |
|
|
| 2 |
Mon. |
05.18 |
MLR: Prediction, Prediction Uncertainty, and Multicollinearity |
Slides |
|
|
|
| Tue. |
05.19 |
MLR: Model Selection |
Slides |
|
|
|
| Wed. |
05.20 |
MLR: Model Checking and Diagnostics |
Slides |
|
|
|
| Thu. |
05.21 |
Linear Models with Continuous and Categorical Predictors |
Slides |
|
|
|
| Fri. |
05.22 |
Nonlinear Regression |
Slides |
R Notebook |
HW1 Due |
|
| 3 |
Tue. |
05.26 |
Nonparametric Regression |
Slides |
|
|
|
| Wed. |
05.27 |
Shrinkage Methods in MLR: Ridge Regression and LASSO |
Slides |
|
|
Online Exam I |
| Thu. |
05.28 |
Logistic Regression |
Slides |
|
|
|
| Fri. |
05.29 |
Poisson Regression and GLM Overview |
Slides |
R Notebook |
HW2 Due |
|
| 4 |
Mon. |
06.01 |
Introduction to Design of Experiments (DOE) |
Slides |
|
|
|
| Tue. |
06.02 |
Completely Randomized Designs (CRDs) |
Slides |
|
|
|
| Wed. |
06.03 |
Randomized Complete Block Design (RCBD) |
Slides |
|
|
|
| Thu. |
06.04 |
Factorial and Split-Plot Designs |
Slides |
|
|
|
| Fri. |
06.05 |
Random and Mixed Effects Models; Computer Experiments |
|
Slides |
HW3 Due |
|
| 5 |
Mon. |
06.08 |
Introduction to Time Series: Dependence, Stationarity, and Autocorrelation |
Slides |
|
|
Online Exam II |
| Tue. |
06.09 |
Time Series Models: AR, MA, and ARMA Processes |
Slides |
|
|
|
| Wed. |
06.10 |
Seasonal Seasonal Models: Model Building, Forecasting, and Diagnostic Checking |
Slides |
R Notebook |
|
|
| Thu. |
06.11 |
Seasonal ARIMA (SARIMA): Case Study and Forecast Evaluation |
Slides |
|
|
|
| Fri. |
06.12 |
Spatial Statistics: Spatial Dependence and Covariance Functions |
Slides |
|
HW4 Due |
|
| 6 |
Mon. |
06.15 |
Spatial Statistics: Variograms, Empirical Estimation, and Model Fitting |
Slides |
|
|
|
| Tue. |
06.16 |
Spatial Statistics: Kriging, Spatial Prediction, and Uncertainty Quantification |
Slides |
R Notebook |
|
|
| Thu. |
06.18 |
|
|
|
HW5 Due |
|
| Fri. |
06.19 |
|
|
|
|
Online Final |