Difference between revisions of "Main Page"

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| 4, 5
| 4, 5
| [[Process monitoring| Application of PCA to process monitoring]]
| [[Process monitoring| Application of PCA to process monitoring]]
| [[Image:Nuvola_mimetypes_pdf.png|20px|link=Media:Lvm-class-4.pdf]] [[Media:Lvm-class-4.pdf|Class 2 ]],  [[Media:Lvm-class-5.pdf|Class 5 ]]
| [[Image:Nuvola_mimetypes_pdf.png|20px|link=Media:Lvm-class-4.pdf]] [[Media:Lvm-class-4.pdf|Class 4 ]],  [[Media:Lvm-class-5.pdf|Class 5 ]]
|-
|-
| 6, 7
| 6, 7

Revision as of 14:13, 17 September 2018

Latent Variable Methods for Engineering


Administrative
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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
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Assignments

Project

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Class materials, datasets and video
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Class Topic Slides
1 Course overview and introduction to latent variable methods Nuvola mimetypes pdf.png Class 1
2, 3 Principal component analysis (PCA) Nuvola mimetypes pdf.png Class 2 , Class 3
4, 5 Application of PCA to process monitoring Nuvola mimetypes pdf.png Class 4 , Class 5
6, 7 Projection to latent structures (PLS)
7, 8 Applications of latent variable methods: Soft sensors; Advanced preprocessing
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 New product development and reformulation
14 Course project presentations
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