Data, Statistics, and Analytics

Send feedback about this page to Dr. Richard D. Braatz (Massachusetts Institute of Technology) or Dr. Victor Zavala (University of Wisconsin)
 

Syllabi, schedules

• Sampling of Data Education in ChE Curricula: An overview of strategies taken by various chemical engineering departments to educate students in applied statistics.
• University of Texas at Austin: Detailed syllabus for a required one-semester course on applied statistics.
• University of Massachusetts Amherst: Syllabus for three to four weeks of applied statistics education as part of a course on mathematical modeling.
• MIT: Syllabus for several weeks of process data analytics education as part of a first-year graduate course on process systems engineering.

Textbooks

Screencasts

• University of Colorado Boulder: More than 60 short screencast videos on statistics, including examples, introduction to topics, software tutorials, and exam review problems. Here are three examples:

Data Sets

• Tennessee Eastman Simulation Dataset
• Dow Data Challenge Problem: "Data Science Challenges in Chemical Manufacturing" and "Integration of process knowledge and statistical learning for the Dow data challenge problem"
• Lithium-ion Battery Dataset (Github)

Other Useful Links

• Teaching Data Science to Students and Teachers: presentations from the 2021 AIChE Annual Meeting
• Virtual Laboratories in Probability and Statistics: Interactive web-based resources for students and teachers.
• Online Statistics and Probability Course: Video lectures, slides, homework, and practice final
• Online Graduate Applied Statistics Course: Video lectures, slides, example problems
• Machine Learning in Chemical Engineering: Python tutorials with case-studies on the application of machine learning in chemical engineering
• Online Materials for Data Analytics for ChemEs (Georgia Tech)
• Online Courses on Programming, Data, and Machine Learning (Brigham Young University)