MA 16290: Calculus
Build Python foundations and collect data with sensors while applying differential and integral calculus.
Purdue University
Mathematics you can measure, code, and explore
The Data Science Labs are one-credit companion courses that connect calculus, multivariable calculus, signals and systems, and probability to Python, Jupyter notebooks, sensors, microprocessors, and real data.
Course sequence
MA 26190 / ECE 29595: Multivariable Calculus
Use vectors, color, images, video, and line integrals in computational laboratory projects.
MA 34990 / ECE 39595: Signals and Systems
Explore sound, transforms, frequency analysis, and signal processing with Python and hardware.
MA 41690 / ECE 39595: Probability
Study random phenomena, image and video data, simulation, and classification through laboratory work.
How the labs work
One credit
Each course is a focused laboratory companion to a mathematics or engineering course.
Weekly projects
Students work in Jupyter notebooks, write Python, and connect mathematical ideas to data.
Open materials
The laboratory textbooks are published by The Data Science Labs organization and can be viewed without a Purdue login.
Enrolled students: Brightspace and Gradescope remain the authoritative sources for assignments, submissions, grades, and deadline changes.