Applied computational statistics for analytics
The class meets
11: 25a m - 1 2:40 pm 11:15pm-12:30pm on Tuesdays and Thursdays.
Due to the ongoing pandemic, we will meet online - using Google Meet. Check your IIT student email for further information on Monday the first day of classes in Fall.
Generating actionable insights from data relies heavily on proper usage of analytics. The foundation of this process consists of two key ingredients: fundamental statistical concepts and corresponding computational tools. This course covers the topics from statistics and programming necessary to understand how such concepts come about, why the algorithms work the way they do, and how to use these in practice. The emphasis is on implementing the foundational procedures in industry-standard programming languages.
Office: RE 208. (As if I'll be there in Fall 2020...)
Office hours: Check the Office hours info - Fall 2020 page.
e-contact: The best way to e-communicate with the instructor is via Campuswire (here is the sign-up link; course code provided during the first lecture). If you must email, please use Sonja.Petrovic@iit.edu and put the course number in the subject line. Your message will generally be answered within 1-2 business days, but generally more efficiently on Campuswire!
The graduate assistant for this course is Amirreza Eshraghi.
e-contact: The best way to get help is to post a note on Campuswire; you may use the TAOfficeHour chat room. For particular homework grading inquiries you can send a DM on Campuswire, or email firstname.lastname@example.org.
OK, maybe you did not sign up for taking online courses... well, I didn't sign up for teaching online either. But, we are agile; we can do this; we are in this together. I am here to help! Please check out the help pages (Help! and Help getting organized) where I've posted some information you may find useful, or also this resource with tips: