Stat/itmd/ITMS 514 Sp21
Applied computational statistics for analytics
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.
Professor Sonja Petrović
Office: This semester, I am fully online; check out Office hours info - Spring 2021.
e-contact: The best way to e-communicate with me 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.
Class meetings & logistics
Due to the ongoing pandemic, we will meet online - using Zoom. Check your IIT student email for further information on Monday the first day of classes in Spring.
All course announcements and updates will be posted on Campuswire!!
Be prepared to follow along the lecture online, and participate actively; read more what to expect from my lectures.
>> When in doubt, revisit the syllabus snapshot slides above.
Wondering what we will learn this semester?
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:
19.1. (Tue) classes start
9.2. (Tue) no classes (COVID study day)
10.3. (Wed) no classes (COVID study day)
8.4. (Thu) no classes (COVID study day)
30.4. (Fri) no classes (COVID study day)
7.5. (Fri) last day of classes
10.5. - 14.5. (Mon-Fri) final exams.