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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

Section Room Time Instructor Office
001 BHEE 215 5:30PM R Aneesh Vinay Kulkarni
002 BHEE 215 5:30PM W Julia Renee Long

Course Materials

Section Type Title Author
ALL SUPP The Data Science Labs on Differential and Integral Calculus - Alden Bradford and Mireille Boutin

Important Notes

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