0 or 3 credits
Spring 2026 Lecture Laboratory Upper Division
This course investigates how artificial intelligence, industrial IoT, and big data are used to enable predictive analytics with machine learning. Emphasis is on optimizing production processes, improving productivity, quality, efficiency, and integrating predictive maintenance applications in smart manufacturing operations.
Learning Outcomes1Apply appropriate machine learning algorithms for improving and optimizing manufacturing operations.
2Enable predictive analytics with machine learning for maintenance operations.
3Evaluate manufacturing processes using machine learning.
4Identify and solve manufacturing problems using machine learning and root cause analysis.
5Describe how data- and knowledge-based systems are used in product and design lifecycles.
Corequisites
Prerequisites
made by Purdue students.