This webpage includes links to the slides along with additional files needed for class.
This schedule is tentative and may change without warning. The official calendar for this class, including all due dates, is on Blueline.
| Week | Date | Slides | Description | Additional Files | Homework Assigned |
|---|---|---|---|---|---|
| 1 | Aug 18 | Welcome to DSC 365 | Class Introduction | Download R and RStudio by the start of class on Thursday | |
| 1 | Aug 20 | Intro to R | R Basics | R File | |
| 2 | Aug 25 | Quarto | Introduction to interactive documents with Quarto | in class document | |
| 2 | Aug 27 | Lab 1 | Lab 1 Work Day | Due during week 3 in Blueline | |
| 3 | Sep 1 | ggplot | Creating visualizations using ggplot2 | in class document, data | |
| 3 | Sep 3 | Lab 2 | Lab 2 Work Day | Due during week 4 pm in Blueline | |
| 4 | Sep 8 | Data Wrangling | Introduction to Data Wrangling with dplyr | in class document | |
| 4 | Sep 10 | Lab 3 | Lab 3 Work Day | Due during week 6 in Blueline | |
| 5 | Sep 15 | Data Communication | Graphical Perception | in class document | |
| 5 | Sep 17 | Present Mini Project 1 | In Class Presentations | ||
| 6 | Sep 22 | Finish MP1 Presentations, tidyr | tidyr, creating functions, loops, and data classes | in class document | |
| 6 | Sep 24 | Ethics/AI | Data ethics, including AI | ||
| 7 | Sep 29 | Lab 4 | Lab 4 Work Day | Due during week 7 in Blueline | |
| 7 | Oct 1 | Statistical Foundations | sampling distributions, bootstraping, and hypothesis tests | ||
| 8 | Oct 6 | Multiple Linear Regression (MLR) | basics of linear regression models | ||
| 8 | Oct 8 | Lab 5 | Lab 5 Work Day | Due during week 9 in Blueline | |
| Fall Break | No class October 11 - 18 | ||||
| 9 | Oct 20 | CV | Cross validation | source code for slides | |
| 9 | Oct 22 | KNN | k-nearest neighbors for classification and regression | source code for slides | |
| 10 | Oct 27 | Random Forests | Decisions trees and random forests | (qmd) (pdf) | |
| 10 | Oct 29 | Lab 6 | Lab 6 work day | Due during Week 12 in Blueline | |
| 11 | Nov 3 | Clustering | Clustering methods | (qmd) (pdf) | |
| 11 | Nov 5 | PCA | Principal Component Analysis | (qmd) (pdf) (data) | |
| 12 | Nov 10 | Text data | |||
| 12 | Nov 12 | Spatial Data | Working with geographic data | ||
| 13 | Nov 17 | MP3 Peer Review | Peer review of Mini-Project 3 | Lab 7 due after Thanksgiving | |
| 13 | Nov 19 | Web scraping | reading data from web pages | ||
| 14 | Nov 24 | Lab 8 | Lab work day | ||
| 14 | Nov 26 | Thanksgiving | No class | ||
| 15 | Dec 1 | MP4 Presentations | Present MP 4 | ||
| 15 | Dec 3 | Lab 9 | Wrap up MP4 presentations, Lab 9 workday |
Final | Dec 9 | 1:00 pm | Final exam will be in-person | bring your computer | |