Archived Content
This website is an archive of the Spring 2019 semester of STAT 107: Data Science Discovery.
▶ Click here for the Fall 2019 webpage.
▶ Click here for the Fall 2019 webpage.
Homework 1: Experimental Design and Privacy
The first homework in STAT 107 helps you review experimental design, learn about some important issues about privacy, and review the Python you learned in the first two labs.
Readings on Privacy
There are five fundamental ideas/topics that is important for every Data Scientist to understand. We have found resources that explain these ideas in the clearest and most concise way; in all, this reading will take less than 25 minutes total.
Read each of the five below:
- Wikipedia: Personally Identifiable Information, 5 minute read (focus on the introduction and the first section: “NIST definition”)
- National Institute of Justice: Common Rule, 3 minute read
- National Institute of Justice: Informed Consent, 5 minute read
- National Institute of Justice: Confidentiality and Privacy Protections, 3 minute read
- Magnus Health: HIPAA & FERPA, 6 minute read
Complete Homework 1 on PrairieLearn
Homework 1 is available on PrairieLearn: https://prairielearn.engr.illinois.edu/pl/
Since this is the first time you are using PrairieLearn in STAT 107, you will need to add STAT 107:
- After logging in with your Illinois NetID, choose “Add or remove a course”
- Find “STAT/CS/IS 107: Data Science Discovery, Spring 2019”
- Click “Add Course”
- Return to the PrairieLearn homepage and select STAT 107
- You can ignore the prompt that asks to “Please wait until instructed to start by a proctor”, you can begin! :)