MA 16290, Fall 2022
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
Course Materials
| Section |
Type |
Title |
Author |
| ALL |
SUPP |
The Data Science Labs on Differential and Integral Calculus - https://thedatasciencelabs.github.io/DSLab_Calculus/intro.html |
Alden Bradford and Mireille Boutin |
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