The 2019 Statistical Learning Summer Workshop is an opportunity for Carnegie Mellon graduate students from outside of statistics to gain experience in statistical learning, the attempt to discover underlying associations between variables in a dataset.
This workshop is made possible thanks to the support of
- The Office of the Vice Provost for Education (Amy Burkert, Suzie Laurich-McIntyre); and
- The Data Science Initiative within CMU’s Department of Statistics & Data Science (Rebecca Nugent).
Preliminary Schedule for the 2019 Statistical Learning Summer Workshop
| Date | Time | Activity |
|---|---|---|
| Monday (24 June) | 09:00 AM - 09:30 AM | Welcome and Orientation |
| 09:30 AM - 11:30 AM | Lectures: Statistical Learning, Data Science, R, Vectors (+ Lab 1A) | |
| 11:30 AM - 12:30 PM | Lunch | |
| 12:30 PM - 02:00 PM | Lectures: dplyr, ggplot (+ Lab 1B) | |
| 02:00 PM - 02:30 PM | Break | |
| 02:30 PM - 04:00 PM | Lab 1B [cont.] - Project Discussion | |
| Wednesday (26 June) | 09:30 AM - 10:00 AM | Project Assignment + Poster Discussion |
| 10:00 AM - 11:30 AM | Guest Speaker: Brittany Allison (Undergraduate Research Office) | |
| 11:30 AM - 12:30 PM | Lunch | |
| 12:30 PM - 02:00 PM | Lecture: EDA (+ Application to Project Data) | |
| 02:00 PM - 02:30 PM | Break | |
| 02:30 PM - 04:00 PM | Lecture: Model Assessment (+ Lab 2) | |
| 04:00 PM - 05:00 PM | Office Hours: Pratik (Wean 5415) | |
| Homework | Complete Exploratory Data Analysis for Project Data | |
| Monday (1 July) | 09:30 AM - 10:15 AM | Short Presentations: Project EDA |
| 10:15 AM - 11:30 AM | Lectures: Linear Regression, Logistic Regression | |
| 11:30 AM - 12:30 PM | Lunch | |
| 12:30 PM - 02:00 PM | Lecture: Variable Selection (+ Application to Project Data) | |
| 02:00 PM - 02:30 PM | Break | |
| 02:30 PM - 04:00 PM | Application to Project Data [cont.] | |
| Homework | Complete Linear/Logistic Analyses of Project Data | |
| Monday (8 July) | 09:30 AM - 10:15 AM | Short Presentations: Project Linear/Logistic Regression |
| 10:15 AM - 11:30 AM | Lectures: Machine Learning, Trees, Random Forest, Boosting | |
| 11:30 AM - 12:30 PM | Lunch | |
| 12:30 PM - 02:00 PM | Lecture: Naive Bayes, Support Vector Machine (+ Application to Project Data) | |
| 02:00 PM - 02:30 PM | Break | |
| 02:30 PM - 04:00 PM | Application to Project Data [cont.] + Poster Office Hours | |
| 04:00 PM - 05:00 PM | Office Hours: Mikeala (Wean 5415) | |
| Homework | Complete ML Analyses of Project Data | |
| Wednesday (10 July) | 09:30 AM - 10:15 AM | Short Presentations: Project ML Analyses |
| 10:15 AM - 11:30 AM | Poster Office Hours | |
| 11:30 AM - 01:00 PM | Lunch (+ Poster Printing) | |
| 01:00 PM - 02:00 PM | Public Poster Presentation |