MA 16290, Fall 2024
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 | 5:30PM | T | Megan Amy Rudo | |
| 002 | BHEE 215 | 11:30AM | F | Aneesh Vinay Kulkarni | |
Important Notes
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