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 Prepare Due
1 Wed, Jan 10

Lec 0

2 Wed, Jan 17

Lec 1

Fri, Jan 19

RQ 1

3 Wed, Jan 24

Lec 2

4 Wed, Jan 31

Lec 3

📝 HW 1

5 Wed, Feb 7

Lec 4

📑 Project 1 proposals for peer review

6 Mon, Feb 12

📑 Project 1 proposals for instructor review

Wed, Feb 14

Lec 5

RQ 2

7 Wed, Feb 21

Lec 6

📝 HW 2

8 Wed, Feb 28

Lec 7

9 Wed, Mar 6

No Class

Spring Break ☀️

10 Mon, Mar 11
Wed, Mar 13

Midterm

Project 1 Presentations
Final Project Preview

📑 Project 1

11 Wed, Mar 20

Lec 8

📝 HW 3
RQ 3

12 Mon, Mar 25
Wed, Mar 27

Lec 9

13 Mon, Apr 1
Wed, Apr 3

Peer Review
Lec 10

Final Project Peer Review
Regression III

📑 Project 2 proposals for peer review

14 Mon, Apr 8

📑 Project 2 proposals for instructor review

Wed, Apr 10

Lec 11

📝 HW 4
RQ 4

Fri, Apr 12
15 Wed, Apr 17

Lec 12

16 Wed, Apr 24

Lec 13

Unsupervised Learning Methods II

17 Mon, Apr 29

📝 HW 5

Wed, May 1

Lec 14

Association Rules

RQ 5

Finals Mon, May 6

Final

Final Project Presentations @ 1pm

📑 Final Project