1 credit
Fall 2026 Laboratory Upper DivisionData from last updated 4/10/2026
Fall 2026
Fall 2026 Instructors:
This course consists in weekly computer laboratories. The laboratories introduce students to the application of concepts learned in an introductory Probability course to Data Science problems. This course also provides opportunities to practice programming in Python and use sensors and microprocessors to acquire and manipulate data. Assumes familiarity with python (numpy, matplotlib), coding basics (loops, arrays, functions, plotting), and simple terminal commands.
Learning Outcomes1Use mathematical tools to process and extract information from data.
2Interact with Jupyter notebooks.
3Write applications in Python.
4Acquire and interpret sensor data.
Prerequisites
BoilerCoursesis an unofficial catalog for Purdue courses
made by Purdue students.
made by Purdue students.