INFO 523: Data Mining & Discovery

Dr. Greg Chism

This page contains an outline of the topics, content, and assignments for the semester. Note that this schedule will be updated as the semester progresses and the timeline of topics and assignments might be updated throughout the semester.

Week Date Topic Video Prepare Due
1 Mon, Jul 7 Lec 0 Welcome + Intro to Python Panopto 🎥 📚 Python Data Analysis - Chp 2
📚 Python Data Analysis - Chp 3
🎥 Getting Started with Quarto
🎥 Quarto + VSCode
🎥 Git + VSCode
🎥 Git + GitHub in RStudio - just watch conceptual stuff

Fri, Jul 11 Lec 1 Introduction to Data Mining
Intro to Numpy

📚 Data Mining Concept - Chp 1
📚 Python Data Analysis - Chp 4
RQ 1
2 Mon, Jul 14 Lec 2 ` Panopto 🎥 📚 Prac Stats for DS - Chp 2
📚 Python Data Analysis - Chp 5
📚 Python Data Analysis - Chp 6

Fri, Jul 18 Lec 3 Exploratory Data Analysis + Data Viz
📚 Prac Stats for DS - Chp 1
📚 Python Data Analysis - Chp 9
📝 HW 1
RQ 2
3 Mon, Jul 21 Lec 4 Data Preprocessing Panopto 🎥 📚 Python Data Analysis - Chp 7
📚 Python Data Analysis - Chp 8

Fri, Jul 25 Lec 5 Classification I
📃 Data Preprocessing in Python 📝 HW 2
4 Mon, Jul 28 Lec 5 Cont. Classification I Cont. Panopto 🎥 📚 ISL - Chp 4

Lec 6 Classification II
Model Evaluation

📚 ISL - Chp 8.1
📚 ISL - Chp 5

Fri, Aug 1 Lec 7
Peer Review
Regression I
Final Project Peer Review
Final Project 🎥 📚 ISL - Chp 3
📚 ISL - Chp 6, up to regularization
📑 Project proposals for peer review
📝 HW 3
RQ 3
5 Mon, Aug 4 Lec 8 Regression II Panopto 🎥 📚 ISL - Chp 6, second half 📑 Project proposals for instructor review

Lec 9 Regression III
📚 ISL - Chp 7
📚 ISL - Chp 8.2

Fri, Aug 8 Lec 10 Support Vector Machines
📚 ISL - Chp 9 📝 HW 4
RQ 4
6 Mon, Aug 11 Lec 11 Unsupervised Learning Methods I Panopto 🎥 📚 Prac Stats for DS - Chp 7 (pgs 294-302)
Fri, Aug 15 Lec 12 Unsupervised Learning Methods II
📚 Prac Stats for DS - Chp 7 (pgs 302- 325) 📝 HW 5
RQ 5
7 Mon, Aug 18 Lec 13 Association Rules Panopto 🎥 - IP 📚 Data Mining Concept - Chp 4
📃 Data Mining in Python

Finals Wed, Aug 20
Final Project Presentations

📑 Final Project