(262i) Developing a Machine Learning Course for Chemical Engineering

Machine learning is a powerful tool for transforming data into insights, building predictive models, and enabling the development of new products. With growing adoption across industries and research disciplines, machine learning is becoming an essential tool in the modern chemical engineer’s toolkit. In this talk I will present takeaways from my experience developing a machine learning course in Wayne State University’s Chemical Engineering and Materials Science Department. I will discuss strategies for engaging students with a wide range of programming experience, present useful tools for sharing data and performing machine learning analysis, highlight some particularly informative chemical engineering data sets, and give tips for connecting machine learning material to the wider chemical engineering curriculum.