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Latent Variable Methods for Engineering: CHE 765

Administrative Course outline Location and hours Course videos (last update: 16 September) Copyright and other legal stuff Announcements I messed up the explanation of \(\hat{\mathbf{x}}\) in class - here is a better description Preparation for class 3 (23 September)

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

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