Spring 2025
APMTH 120
Instructors
Schedule
January 27 - April 30
Tuesday and Thursday, 1:30pm - 2:45pm
Applied Linear Algebra and Big Data
Description
Examples from physical sciences, biology, climate, commerce, the internet, image processing, and more will be given. The approach is application-motivated, focusing on an intuitive understanding of the algorithms behind these methods obtained by analyzing small data sets. Programming assignments can be done using Python or Matlab.
Department
Applied Mathematics
School
Faculty of Arts & Sciences
Course Level
Graduate
Undergraduate
Interest Area
Arts & Humanities
Credits
4
Cross Registration
Available