Stat 382 – Statistical Methods and Computing
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Updated 9/4/2024
- Name: Dr. Jennifer Pajda-De La O
- Class Format: In-Person, unless UIC moves classes online due to Covid concerns.
- Lectures: MWF 11:00 - 11:50 am.
- Office: SEO 305
- In Person Drop In Hours: Wednesday / Friday 12:30 pm - 1:30 pm.
- Online Drop In Hours: Tuesday 10 - 11 am via Zoom.
- Email: jpajda2 AT uic.edu (best way to contact me)
- Name: Dr. Dale Embers
- Class Format: In-Person, unless UIC moves classes online due to Covid concerns.
- Lectures: MWF 12:00 - 12:50 pm.
- Office: SEO 309
- In Person Drop In Hours: Monday / Friday 1:30 - 2:30 pm; Wednesday 2:00 - 2:50 pm.
- Email: dembers AT uic.edu
- Textbook 1: Robert Kabacoff, R In Action: Data analysis and graphics with R, Manning, 2nd edition. Free copy through UIC Library.
- Textbook 2: Peter Dalgaard, Introductory Statistics with R, Springer, 2nd edition. Free copy through UIC Library.
- Textbook 3: Alan Elliott and Wayne Woodward, SAS Essentials: Mastering SAS for Data Analytics Wiley, 2nd edition. Free copy through UIC Library.
- Prerequisite: Grade of C or better in STAT 381. Students in the BS in Data Science program may satisfy the prerequisite with IE 342 or ECE 341 instead of STAT 381.
- Course syllabus: Syllabus
- All materials may be found on Blackboard.