Course Readings
Readings come from a wide range of topics, papers, and articles to reflect the diverse nature of Data Sci. Under each reading, I provide some context for why they were selected and what general ideas you should be pulling out. I often get asked why there are so many readings in a science/engineering-based course. This is a very simple question to answer.
The work of scientists and engineers requires extensive reading in day-to-day operations. Reading papers, meeting notes, emails, memos, project notes, and program documentation, just to name a few. The better your reading/writing abilities, the easier it will be to extract and disseminate information and knowledge. This is a fundamental and critical skill in, especially in data science. So please take the readings seriously and use them as practice to improve these fundamental skills, as well as, learn more about the field of data science.
Reading Quiz
Quizzes will cover the reading material assigned, e.g. Quiz 1 only covers material from reading 1 (R1).
- Five multiple choice (10 questions) quizzes
- Available for 48 hours
- You have 1 hour to finish
- One attempt
- Open notes, but you must work alone
- Taken and submitted through Gradescope
- Your 2 lowest quiz score will be dropped when calculating your final grade. Late reading quizzes will be accepted up to 48 hours; however, they will receive ½ credit.
Quiz links can be found on the home page or through Canvas.