MATH 7870-001 — Randomized NLA for Data Science and Machine Learning


Spring 2026


Instructor: Akil Narayan
Email: akil(-at-)sci.utah.edu
Office phone: +1 801-581-8984
Office location: WEB 4666, LCB 116
Office hours: Tuesday 9:45-10:40am in LCB 116, or by appointment


Class meeting time: Tuesday, Thursday 10:45am - 12:05pm
Class meeting location: M LI 1735


This course is a gentle journey through the land of randomized methods, focused on core (numerical) linear algebra tasks, and if time permits with some exploration of stochastic optimization methods.

The course syllabus is here: PDF



The content of this course is split across this website and Canvas. The material available on this website is:
  • Course syllabus
  • Homework assignments
  • Lecture slides
  • Miscellaneous handouts and resources
The material available on Canvas is:
  • Course syllabus
  • Homework assignments and submission portal
  • Grades

Graded assignments


Individual grades for each assignment will be posted to Canvas. (uNID login required.) Note that the letter grades appearing on Canvas are not representative of predicted final letter grades for the course. Final letter grades will be computed according to the rubric and policies on the syllabus.






Miscellaneous handouts


The following are slides from class.

Description Posting date Download Marked document
00: Course overview January 03, 2026 PDF
01: An intro to numerical linear algebra January 07, 2026 PDF PDF