Course Syllabus

Jump to Today

Fall 2015 - INFO 298: New Perspectives on Organizing Systems - Data Science (Bob's Book Club)

Book list

We will read both of these

Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (Eric Siegel) 2013
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World (Pedro Domingos) 2015

Read one (or more) of these:

Data Science For Business (Foster Provost, Tom Fawcett), 2013
The Signal and the Noise: Why So Many Predictions Fail--but Some Don't (Nate Silver) 2015
How to Lie with Statistics (Darrell Huff)

Meeting Time is W 1-2, but not every week. See schedule:

 

 

Book(s)

Chapter(s)

Discussion document

8/26

Introduction

  

 

 

 

 

 

9/9

Predictive Analytics

 Chapters 1-3 https://docs.google.com/document/d/11SSdeoHsQX-rM79aY8po9oES1UNcEDDCW-dkt3cUJxE/edit?usp=sharing

 

 

 

 

9/23

Predictive Analytics

 Chapters 4-7 https://docs.google.com/document/d/1Ax7FOZRNxfKbD38IDURmOzRpUh-nW5uVZoAtvHasB-0/edit?usp=sharing

 

 

 

9/30

The Master Algorithm

Chapters 1-2

 https://docs.google.com/document/d/11Kj6_5VexoeJrQsMmA8aacupZtvYHccjVFESlPZXNbs/edit?usp=sharing

 

 

 

 

10/14

The Master Algorithm

 Chapters 3-6 https://docs.google.com/document/d/11CHa62qMAKVyGXyJzkvKsB-tDFdc_1s24RxM3ReSkyA/edit?usp=sharing

 

 

10/28

The Master Algorithm Mini Tutorials https://docs.google.com/document/d/1KNh3odYNof1rn2UPyZI0ACcgXnB0ObnT7tSKuQ8PR2A/edit?usp=sharing

 

11/18

 Master Algorithm Chapters 6-end https://docs.google.com/document/d/1YIPaQ7BQiGiC9tDwki6PmyrT6vvh1GJhJWW5tB_v_n4/edit?usp=sharing
 

 

 

 

 

12/2

Wrap Up

  

 

Course Summary:

Date Details Due