MA 16290: Calculus
Build Python foundations and collect data with sensors while applying differential and integral calculus.
Interdisciplinary one-credit laboratories at Purdue
Mathematics you can measure, code, and explore
The Data Science Labs connect calculus, multivariable calculus, signals and systems, and probability to Python, Jupyter notebooks, sensors, microprocessors, and real data.
- One credit
- Hands-on projects
- Honors-contract options
- Open textbooks
Spring 2027 registration is open. Students taking Calculus II can begin the sequence with MA 16290; no previous programming course is required.
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.
Build it, measure it, model it
Every lab follows the same hands-on arc:
- Build with hardwareConnect sensors, microprocessors, LEDs, speakers, and other components.
- Collect real dataUse Python and Jupyter notebooks to measure physical or simulated systems.
- Apply the mathematicsUse ideas from the companion course to analyze, explain, and improve the result.
Why add a Data Science Lab?
One credit
Each course is a focused laboratory companion to a mathematics or engineering course.
Hands-on projects
Students leave with working code, experience with physical systems, and examples they can discuss in future courses and interviews.
Honors-contract pathway
Eligible students can use a lab's interdisciplinary projects to support an honors contract in the paired mathematics or engineering course.
Open materials
The laboratory textbooks are published online and can be explored before registration without a Purdue login.
Ready to share or register?
Students
Find the lab that matches your mathematics or engineering course, then review the Spring 2027 sections and CRNs.
Advisors and instructors
Use the concise advisor guide to match students with a lab and share accurate registration information.
Enrolled students: Brightspace and Gradescope remain the authoritative sources for assignments, submissions, grades, and deadline changes.