Syllabus                       Home

 

PMBA 8040 Data Driven Decision Making

Spring 2017

Tentative Schedule: Changes may be necessary, and the website will be updated with any changes.

 

 

            Date

Topic

Readings

Assignments Due

(Post to iCollege)

Overview / Data / Time Series / Regression                                                                                               

Week 1:1/12

Introduction [Short Video]

Overview of Analytics

Decision Making Biases

Data Types

 

Data and Cows in India

Chapters 1- 4

Excel Basics Session on 1/13

R software basics

Graphs in R

Video 1 – Scatter plot

Video 2 - Histogram

Assignment 1 Due on 1/19

Excel Exercise and Decision Biases

Week 2: 1/26

Introduction to 

Time Series Forecasting

[Short Video]

Averaging Methods

Trendline Forecast

Classical Decomposition

Walmart Revenue Data

 

Assignment 2 Due on 2/2

Time Series Forecasting

Week 3: 2/9

Regression Analysis

[Short Video]

Simple Regression

Multiple Regression Example

 

Chapter8 (pages 270-279 only)

Does p-value matter?

Shoe Size Data

Lung Capacity Data

Simple Regression - Notes

Mutliple Regression - Notes

Assignment 3 Due on 2/16

Regression Analysis

BDNF Dataset for Assignment

Week 4:2/23

Midterm 6:00 – 7:30 PM

(on all material so far)

 

 

Classification / Assessment / Segmentation / Decision Analysis

Week 5: 3/9

Binary Classification

[Short Video]

 

Excel Classification Example

(Linear Discrimination)

Chapter 8 (pages 230 – 240) – Logistic Regression

Chapter 9 (Model Assessment)

Assignment 4 Due on 3/16

Data Cleaning

Binary classification

Titanic Survival Data

 

Week 6: 3/23

Segmentation of Data

[Short  Video]

Cluster Analysis

K-Means Clustering in R

Supervised – Classification Trees

 

8:00 – 9:00 PM

Guest Lecture: John Holstein

Trafficking and Data Analysis

 

Chapter 6 (Pages 177-191)

UCI Machine Learning Repository (get Iris dataset)

 

Association Techniques

[Short Video]

Association Techniques – Excel

 

Chapter 5

Assignment 5 Due on 3/30

Clustering

Week 7: 4/6

Decision Analysis

[Short Video]

 

Expected Values

Bayesian Analysis

Chapter 8 (Pages 264-270)

Naοve Bayes

Week 8: 4/20

Final Exam 6:00 – 7:15 PM

(comprehensive with focus on material after midterm)

Project Presentations 7:30 – 9:00 PM

Project Reports Due

Project Guidelines