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Latent Variable Methods for Engineering: CHE 765

Administrative Course outline Location and hours Course videos Copyright and other legal stuff Announcements Course videos are now available Preparation for next class -- get ready for some math: we're going in-depth to understand exactly what \( \mathbf{T = XP} \) means Link to software download (version 11.08) Review on your own the last section of the slides on data visualization Course notes for 16 September are ready for download

Class materials 1: Course overview and introduction to latent variable methods 2,3: Principal component analysis (PCA) 4: Application of PCA to process monitoring 5: Projection to latent structures (PLS) 6,7,8 Applications of latent variable methods 9,10 Dealing with 3D data: batch and image data 11 Multiblock data analysis: dealing with data from multiple sources 12 Optimization and new product development 13 Course project presentations Review of basic statistical concepts References and readings

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

Course calendar