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Teaching Data-Centric Process Control (Junior Year) Using Experiential Learning
Teaching Data-Centric Process Control Using Experiential Learning
Alexander Dowling
November 14, 2024 (v1)
Subject: Education
Keywords: design of experiments, Model Predictive Control, optimal control, Optimization, parameter estimation, process control, project-based learning, state estimation, state-space, system identification
Process control should be one of the most exciting chemical engineering undergraduate courses! This presentation describes our experience transforming "Chemical Process Control" into "Data Analytics, Optimization, and Control" at the University of Notre Dame (required in the second semester of the junior year). In six hands-on experiments, students practice data-centric modeling and analysis using the Ardunio-based Temperature Control Lab (TCLab) hardware. The semester learning goals are:
- Develop mathematical models for dynamical systems from data and first principles using modern statistical methods;
- Predict dynamical system performance using numerical methods;
- Analyze, implement, tune, and debug feedback controllers using the hands-on laboratory;
- Formulate and solve optimization problems for decision-making;
- Demonstrate mastery of at least two of the above skills in an open-ended group project.

The goal of this presentation is to share our strategy to modernize... [more]
Artificial Intelligence, Machine Learning, & Data Science in Chemical Engineering
Alexander Dowling
October 29, 2024 (v2)
Overview presenation by Prof. Alexander Dowling at the Public Affairs & Information Committee (PAIC) Town Hall at AIChE Annual Meeting in 2024.
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