MA 16290, Fall 2026
Data Science Labs: Calculus
Credit Hours: 1.00. This course consists of weekly computer laboratories which apply concepts learned in Calculus I and II to data science problems. Main topics covered include function sampling and approximation, numerical differentiation, numerical integration, Jupyter notebooks, introductory Python programming, object oriented programming, and data acquisition with microcontrollers and sensors.
Instructor Info
| Section | Room | Time | Instructor | Office | |
|---|---|---|---|---|---|
| 001 | BHEE 215 | 6:00PM | M | Kaitlyn T Hood | |
| 002 | BHEE 215 | 6:00PM | R | Kaitlyn T Hood | |
| 003 | Kaitlyn T Hood | ||||
Important Notes
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