This paper reports results from the 2025 AIChE Education Division survey on how process control is taught in chemical engineering programs in the United States and Canada, along with insights from a panel discussion held at the AIChE Annual Meeting. Faculty from 85 institutions provided 88 responses describing course structure, instructional priorities, software use, laboratory practices, and recent curricular changes. Results show that most institutions require a standalone process control course, typically lecture based with substantial simulation or problem solving laboratory components. MATLAB, Simulink, and Excel were the most commonly used computational tools, and many courses incorporated project or problem based learning. Faculty emphasized understanding process dynamics and controller tuning as core goals while noting persistent student challenges with mathematics. Topic coverage remains largely consistent with prior surveys, though more programs now include design oriented content, Python, and practical examples. The panel discussion highlighted increasing automation in industry, the need to balance mathematical depth with design practice, and the growing role of AI in process control coursework. Overall, the findings provide an updated picture of current instructional practices and emerging trends in teaching process control.
http://orcid.org/0000-0003-3221-7565
University of Mississippi
[biography]
http://orcid.org/0000-0002-6797-7225
University of Cincinnati
[biography]
The full paper will be available to logged in and registered conference attendees once the conference starts on June 21, 2026, and to all visitors after the conference ends on June 24, 2026