MA 16290, Spring 2023
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 | 2:30PM | T | Jaxson Maka'ala Pahukula | |
002 | BHEE 215 | 5:30PM | R | Jonathan Oppenheimer | |
003 | BHEE 215 | 5:30PM | W | Yudon Shin | |
004 | BHEE 215 | 2:30PM | R | Rishabh Dushyant Ashar |
Important Notes
- ADA policies: please see our ADA Information page for more details
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