1 credit
Spring 2026 Laboratory Lower DivisionData from last updated 2/24/2026
Spring 2026
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 Outcomes1Use 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.
Prerequisites
All of
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