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.
|The Data Science Labs on Differential and Integral Calculus - https://thedatasciencelabs.github.io/DSLab_Calculus/intro.html
|Alden Bradford and Mireille Boutin
- ADA policies: please see our ADA Information page for more details
- In the event of a missed exam, see your instructor/professor as soon as possible.
- See the online course evaluation page for more information on how we collect course feedback from students