INFO 523: Data Mining & Discovery

Spring 2026

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		Prepare	Due (5pm)
1	Wed, Jan 14	Welcome	Part I 🎥 Part II 🎥	🎥 Assignment Workflow - Part I 🎥 Assignment Workflow - Part II 🎥 Assignment Workflow - Part III 🎥 Assignment Workflow - Part IV (Optional) 🎥 Reading Quizzes
	Fri, Jan 16	Intro to Python	🎥	📚 Python Data Analysis - Chp 2 📚 Python Data Analysis - Chp 3
2	Mon, Jan 19	Martin Luther King Jr Holiday (No Class)
	Wed, Jan 21	Introduction to Data Mining Intro to Numpy	🎥 🎥	📚 Data Mining Concept - Chp 1 📚 Python Data Analysis - Chp 4
	Fri, Jan 23	Intro to Pandas	🎥	📚 Python Data Analysis - Chp 4 📚 Python Data Analysis - Chp 5	✅ RQ 1
3	Mon, Jan 26	Sampling + conclusions Intro to Pandas	Part I 🎥 Part II 🎥	📚 Prac Stats for DS - Chp 2 📚 Python Data Analysis - Chp 5 📚 Python Data Analysis - Chp 6
	Fri, Jan 30	Final Project	🎥	🎥 Quarto + VSCode
4	Mon, Feb 2	Exploratory Data Analysis	🎥	📚 Prac Stats for DS - Chp 1
	Fri, Feb 6	Data Vizualization	🎥	📚 Python Data Analysis - Chp 9	📝 HW 1 ✅ RQ 2
5	Mon, Feb 9	Data Preprocessing	Part I 🎥 Part II 🎥 Part III 🎥	📚 Python Data Analysis - Chp 7 📚 Python Data Analysis - Chp 8
	Fri, Feb 13
6	Mon, Feb 16	Classification I	🎥	📃 Data Preprocessing in Python
	Fri, Feb 20				📝 HW 2
7	Mon, Feb 23	Classification I Cont. 📝 ex-06 reference material	🎥	📚 ISL - Chp 4
	Fri, Feb 27
8	Mon, Mar 2	Model Evaluation	🎥	📚 ISL - Chp 8.1
	Fri, Mar 6	Cross Validation	🎥	📚 ISL - Chp 5
9	Mon, Mar 9	Spring Break ☀️
	Fri, Mar 13	Spring Break ☀️
10	Mon, Mar 16	Regression I	Part I 🎥 Part II 🎥 Part III 🎥	📚 ISL - Chp 3 📚 ISL - Chp 6, up to regularization	📑 Project proposals for peer review
	Wed, Mar 18	Final Project Peer Review	🎥		📑 Project proposal peer reviews due
	Fri, Mar 20				📝 HW 3 ✅ RQ 3
11	Mon, Mar 23	Regression II 📝 ex-08 reference material	Part I 🎥 Part II 🎥	📚 ISL - Chp 6, second half	📑 Project proposals for instructor review
	Wed, Mar 25
	Fri, Mar 27
12	Mon, Mar 30	Regression III 📝 ex-09 reference material	🎥	📚 ISL - Chp 7 📚 ISL - Chp 8.2 📚 Time series in Python
	Fri, Apr 3
13	Mon, Apr 6	Support Vector Machines	🎥	📚 ISL - Chp 9
	Fri, Apr 10				📝 HW 4 ✅ RQ 4
14	Mon, Apr 13	Unsupervised Learning Methods I 📝 ex-12 (early) release	Part I 🎥 Part II 🎥 Part III 🎥	📚 Prac Stats for DS - Chp 7 (pgs 294-302)
	Fri, Apr 17
15	Mon, Apr 20	Unsupervised Learning Methods II 📝 ex-12 reference material	Part I 🎥 Part II 🎥	📚 Prac Stats for DS - Chp 7 (pgs 302- 325)
	Fri, Apr 24				📝 HW 5 ✅ RQ 5
16	Mon, Apr 27	Association Rules	🎥 YouTube Playlist	📚 Data Mining Concept - Chp 4 📃 Data Mining in Python
	Fri, May 1				📝 ds-experience 📝 Exercises due 💬 Exercise discussions due
17	Mon, May 4	Final Project Presentations
	Wed, May 6				✨ Final project due