Week	Dates	Topic	Materials	Assignments
Week 1	Aug-27 – Aug-31	Course orientation		Week 1 readings Week 1 module exercise
Week 2	Sep-03 – Sep-07 Labor Day	What are the computational and data sciences?		Week 2 readings
Week 3	Sep-10 – Sep-14	Course toolbox		Week 3 readings Week 3 module exercises
Week 4	Sep-17 – Sep-21	Data visualization		Week 4 readings Week 4 module exercises R Markdown mini-assignment Visualization mini-assignment
Week 5	Sep-24 – Sep-28	Data visualization		Week 5 readings Week 5 module exercises Homework 1
Week 6	Oct-01 – Oct-05	Data transformation		Week 6 readings Week 6 module exercises Homework 1 (continued)
Week 7	Oct-08 – Oct-12 Columbus Day	Midterm Exam week		Midterm Exam Homework 1 (Group)
Week 8	Oct-15 – Oct-19	Data transformation		Week 8 readings (Due: Oct-21) Week 8 module exercises (Due: Oct-22) Homework 2 (Due: Oct-26)
Week 9	Oct-22 – Oct-26	Data reshaping (Tidy data)		Week 9 readings (Due: Oct-28) Week 9 module exercises (Due: Oct-29) Homework 2 (continued) (Due: Oct-26)
Week 10	Oct-29 – Nov-02	Catch-up week		Week 10 module exercises (Due: Nov-05)
Week 11	Nov-05 – Nov-09	Data distributions		Week 11 readings (Due: Nov-11) Homework 2 (Group) (Due: Nov-09)
Week 12	Nov-12 – Nov-16	Inference and simulation		Week 12 readings (Due: Nov-18) Homework 3 (Due: Nov-27)
Week 13	Nov-19 – Nov-23 Thanksgiving Day	Inference and simulation		Week 13 readings (Due: Nov-25) Homework 3 (continued) (Due: Nov-30)
Week 14	Nov-26 – Nov-30	Inference and simulation		Week 14 readings (Due: Dec-02) Homework 3 (continued) (Due: Nov-30)
Week 15	Dec-03 – Dec-07	Final project		Final project question list (Due: Dec-07)
Week 16	Dec-10 – Dec-14	Final project		Final project report (Due: Dec-14)