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Latent Variable Methods for Engineering

Administrative Course outline Location and hours Course videos Copyright and other legal stuff Announcements The teaching part of the course for 2011 is complete. You can view all the class videos here. Thanks for all the valuable feedback on this course. I'm looking forward to teaching this course again soon.

Assignments, projects and datasets Assignments Assignment 1 Assignment 2 Assignment 3 Assignment 4 Project Course project All course datasets

Class materials, datasets and video Class Topic Slides 1 Course overview and introduction to latent variable methods Class 1 2, 3 Principal component analysis (PCA) Class 2 , Class 3 4, 5 Application of PCA to process monitoring Class 4 , Class 5 6, 7 Projection to latent structures (PLS) Class 6 , Class 7 7, 8 Applications of latent variable methods: Soft sensors; Advanced preprocessing Class 7 , Class 8 9 Dealing with image data Class 9 10 Applications of latent variable methods: Classification Class 10 11 Dealing with batch data Class 11 12 Multiblock data analysis: dealing with data from multiple sources Class 12 13 New product development and reformulation Class 13 14 Course project presentations Recorded videos of all classes References and readings A freely available textbook for this course: Process Improvement using Data (ch 6)