MA 16290: Data Science Labs: Calculus

1 credit

Fall 2025 Laboratory Lower Division
Data from
Fall 2025
last updated 8/18/2025
Fall 2025 Instructors: ,

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.

Learning Outcomes

1Use mathematical tools to process and extract information from data.

2Interact with Jupyter notebooks.

3Write applications in Python

44. Acquire basic object oriented programming skills.

5Acquire and interpret sensor data.

Course MA 16290 from Purdue University - West Lafayette.

Prerequisites

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Other terms
Anee...(Fall 2022)
4.0
Juli...(Fall 2022)
4.0
Yudo...(Spring 2023)
4.0
Matt...(Spring 2024)
3.9
Jaxs...(Spring 2023)
3.9
Jona...(Spring 2023)
3.6
Mega...(Fall 2024)
3.5
Nikh...(Spring 2024)
3.3
Rish...(Spring 2023)

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Warr...(Spring 2025)

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W

Kaitlyn T Hood

002
2:30 pm
Lab
R

Kaitlyn T Hood

001
5:30 pm
Lab

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MA 16290: Data Science Labs: Calculus