Syllabus Schedule Project A Project B Home

MGS 8040: Data Mining Summer 2019

Wednesdays 5:30 – 9:45 PM

Buckhead Center (200 Tower Place) Room 404

CRN: 53355

Date	Topic	Readings	Assignments Due (Post to iCollege)
Week 1: 6/12	CRISP-DM Introduction – DM Overview Regression Review Simple Regression Shoe size data Height - Multicollinearity Data and Cows	Notes Notes – Simple Regression Notes – Multiple Regression Exercise Solution to Exercise Does p-value matter? Multicollinearity Interaction Effect	1. Regression Analysis Regression Dataset (due Sunday, 6/16 by 11:59 PM. To iCollege)
Week 2: 6/19	Understanding Credit Data – Equifax / Experian / Trans Union The Initial Client Meeting Introduction to SAS SAS Training at UCLA	Notes – Initial Client Meeting Sample Design Exercise Solution to Exercise Data Cleaning Notes – Basic SAS Analysis The Little SAS Book By Delwiche & Slaughter Data1 subset in Excel	2. Application – Dep. Var, Outcome, Sample time frame 3. SAS assignment Folder Instructions (both due Sunday, 6/23) by 11:59 PM. Post to iCollege as separate Assignments).
Week 3: 6/26	Data Cleaning Dummy Variable Definition Class Handout Solution to Handout Intro to Logistic Regression, Discriminant Analysis	Data Warehouse introduction Books by Edward Tufte. Gallery of Data Visualization WHO visualization SAS Programs for dummies, Regression and Scoring www.statsoft.com Logistic Regression Logistic Reg SAS program	4. Crosstabs, Dummy decisions (due Sunday 6/30 by 11:59 PM)
Week 4: 7/3	Test 1 (5:30 – 7:00 PM) 7:15 – 9:45 PM Model Validation – KS Test		PROJECT Dataset Sources 1. Dr. Miller’s List 2. UCI Machine Learning 3. Kaggle
Week 5: 7/10	Effectiveness of models – A review of methods Segmentation Cluster Analysis SPSS Output (Cluster)	Research Paper on Model Effectivenss www.statsoft.com www.statsoft.com Factor Analysis Clustering Paper	5. Discrim, KS (due 7/07 by 11:59 PM) SAS Programs for Regression/Scoring
Week 6: 7/17	Test 2 (5:30 – 7:00 PM) Association Techniques, Monitoring Reports, Review	Classification Trees
Week 7: 7/24	Project Work
Week 8: 7/31	Project Presentations – 5:30 to 7:30/7:45 PM Conclusion		Project Reports Due [Guidelines] Sample Final Project