01:198:142 and 01:960:142 (4 credits)
Core: CC, QQ or QR, ITR
Professor Tomasz Imielinski, Computer Science
“Big Data,” algorithms, and statistics are everywhere today.
How do you tell good data from bad? Misinformation from useful analysis? And who owns the information about our lives and decisions?
Data 101 will help you improve your data literacy and develop a healthy skepticism about empirical claims presented in the popular media. We will explore examples of erroneous, rushed, and ad hoc conclusions based on so-called “big data,” and you will get hands-on experience analyzing and using data to make persuasive arguments. You will also learn to make more informed decisions about what you find and share online. Along the way, you will learn fundamental concepts in statistics and probability and acquire basic programming skills that will benefit you in your future coursework and beyond.
Students from all schools and disciplines are welcome to sign up for this course. The course does require placement into Intermediate Algebra or above, or credit for 01:640:025. Data 101 can be used to meet the Core Curriculum goals in 21st Century Challenges [21C], Quantitative and Formal Reasoning [QQ or QR], and Information Technology and Research [ITR].