Class Schedule

August 15, 2016
Topic: Autobiography of a data scientist

August 22, 2016
Topic: What is data?

August 29, 2016
Topic: The best job of the 21st century
Reading: Davenport & Patil (2012)

September 5, 2016
NO CLASS

September 12, 2016
Topic: Computer-aided identification of disease reservoirs
Reading: Han et al. (2015)
Assignment: Writing assignment 1

September 19, 2016
Topic: Machine learning
Reading: Jordan & Mitchell (2015)

September 26, 2016
Topic: Principles of graphical fairness
Reading: Wainer (1984)

October 3, 2016
Topic: What is big data?
Reading: McAfee & Brynjolfsson (2012)

October 10, 2016
Topic: Data traps
Reading: Lazer et al. (2014)
Assignment: Writing assignment 2

October 17, 2016
Topic: Model based prediction of Zika virus
Reading: Perkins et al. (2016)

October 24, 2016
Topic: Doing data science 1

October 31, 2016
Topic: Doing data science 2

November 7, 2016
Topic: Doing data science 3

November 14, 2016
Topic: Doing data science 4
Assignment: Writing assignment 3

November 21, 2016
NO CLASS

November 28, 2016
Topic: Data science summary

December 5, 2016
Topic: Student sharing