Process Data Analytics

This page is managed by Dr. Richard D. Braatz (Massachusetts Institute of Technology).

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 Buffalo: Detailed syllabus for a one-semester course that covers theory and applications of probability and statistics appropriate for design of experiments and analysis of data.
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.

University of Colorado Boulder: More than 20 short screencast videos on statistics, including examples, introduction to topics, software tutorials, and exam review problems. Here are three examples:

Polymath (CACHE): Solves ODEs, linear equations, and nonlinear equations. Screencasts demonstrate Polymath use.

Wikipedia
Virtual Laboratories in Probability and Statistics: Interactive web-based resources for students and teachers.
Online Resource Materials on Multivariable Data Analysis: Statistical methods, case studies, guidebooks, webinars.
Online Statistics and Probability Course: Video lectures, slides, homework, and practice final
Online Graduate Applied Statistics Course: Video lectures, slides, example problems