Difference between revisions of "Main Page"

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** [http://literature.connectmv.com/item/155/batch-process-modeling-and-mspc Batch process modeling and MSPC]: pages 184 to 188
** [http://literature.connectmv.com/item/155/batch-process-modeling-and-mspc Batch process modeling and MSPC]: pages 184 to 188
** [http://literature.connectmv.com/item/24/ Batch, multiblock case study] we will look at in class
** [http://literature.connectmv.com/item/24/ Batch, multiblock case study] we will look at in class
* Class notes and datasets are [[Multiblock data analysis|available for download]]
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Revision as of 19:17, 25 November 2011

Latent Variable Methods for Engineering: CHE 765


Administrative
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Announcements


Class materials
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1: Course overview and introduction to latent variable methods

2,3,4: Principal component analysis (PCA)

4,5: Application of PCA to process monitoring

6: Projection to latent structures (PLS)

7,8 Applications of latent variable methods

9 Dealing with image data

10 Applications of latent variable methods: Classification

11 Dealing with batch data

12 Multiblock data analysis: dealing with data from multiple sources

13 Process optimization and new product development

14 Course project presentations

Assignments, projects and datasets
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Assignments

Project

Crystal Clear mimetype spreadsheet.png All course datasets


Course calendar

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