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, Aug 23 Lec 0

Welcome
2 Wed, Aug 30 Lec 1

Introduction to Data Mining
Advanced R + GitHub

📚 Data mining conceptual - Chp 1
3 Wed, Sep 6 Lec 2

Know your Data + Preprocessing

📚 Data mining conceptual - Chp 2, all except data viz
📃 Proprocessing with Recipes

📝 Exercise 1: turn in either Intro to R Tutorial
OR
Intro to Python Tutorial + Intro to Pandas & Numpy

4 Wed, Sep 13 Lec 3

Preprocessing II + Data Viz I

📚 Data mining conceptual - Chp 2, data viz
Fri, Sep 15

📝 HW 1: turn in either R Exercise 1
OR
Python Exercise 1
Extra Credit : Intro to Git/GitHub

5 Wed, Sep 20 Lec 4

Exploratory Data Analysis

📚 ggplot2-book - Chp 5
📃 Exploratory Data Analysis In R
📃 Exploratory Data Analysis In Python
6 Wed, Sep 27 Lec 5

Classification I

📚 Data mining conceptual - Chp 6.1, 6.2, 6.4-6.6
Mon, Oct 2

📝 R/Python Exercise 2

7 Wed, Oct 4 Lec 6

Classification II + Model Evaluation

📚 Data mining conceptual - Chp 6.7, 7.1-7.5
Fri, Oct 6

📝 HW 2

8 Wed, Oct 11 Lec 7

Regressions

📚 ISRL - Chps 3.1-3.5, 6.1-6.2, 7.1-7.3, 8.2
9 Wed, Oct 18 Lec 8

Project 1 presentations I
Final Project Preview
10 Wed, Oct 25 Lec 9

Association Rules
Clustering

📚 Data mining conceptual - Chp 4
📚 Data mining conceptual - Chp 8.1-8.3

📝 HW 3
📝 R/Python Exercise 3

11 Wed, Nov 1 Lec 10

No Lecture

📚 Data mining conceptual - Chp 11
12 Wed, Nov 8 Lec

Project Peer Preview

📑 Project Proposal Peer Review

13 Mon, Nov 13

📑 Project proposals for instructor review

Wed, Nov 15 Lec 11

Anomaly Detection

📚 Data mining conceptual - Chp 11

📝 HW 4
📝 R/Python Exercise 4

Fri, Nov 17

📑 Final Project Proposal

14 Wed, Nov 22 No lecture

Happy Thanksgiving! 🦃
15 Wed, Nov 29 Lec 12

Time Series Analysis I

📚 Pract Time Series - Chps 1-2
16 Wed, Dec 6 Lec 13

Time Series Analysis II
Project Presentations

📚 Pract Time Series - Ch 3

📝 HW 5

Finals Mon, Dec 11

Project Presentations @ 1pm

📑 Final Project