MAT 128
Foundations of Data Science · 3 credits · Fall 2026
This course meets as a lecture plus a lab. Your schedule needs one time from each, and the schedule builder picks them together.
About this course
Statistical and computational tools for analyzing data. Acquiring data from multiple sources, techniques for efficiently traversing, storing, and manipulating data. Emphasis on statistical analysis and visualization of real data.Pre-req: Score of 65 or higher on College Math section of Accuplacer exam or department permission
Seat status as of Oct 3, 6:30 AM ET. Seats can change between refreshes.
01LB-LAB Regular
Tue/Thu · 2:50 PM - 3:40 PM
Gillet 231
S. PiotrowskiNo Rate My Professors rating foundIn PersonClosed
01LC-LEC Regular
Tue/Thu · 2:00 PM - 2:50 PM
Gillet 231
S. PiotrowskiNo Rate My Professors rating foundIn PersonClosed