Home / Courses / MA 41690

Cross-listed one-credit laboratory

MA 41690 / ECE 39595: Probability

Projects connect introductory probability to simulation, sensor data, images, video, and classification.

• Prerequisite: Prior Data Science Lab or prior Python experience
• Corequisite: ECE 302, AAE 361, MA 416, STAT 416, or STAT 311
• Format: Weekly face-to-face computer laboratory

What students do

• Interpret probability as frequency and work with conditional probability.
• Quantize images and detect motion in video.
• Create and evaluate random-number generators.
• Estimate pi with Monte Carlo methods and classify data with naive Bayes.