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| valign="top" | [[File:Crystal_Clear_mimetype_spreadsheet.png|80x80px]] | | valign="top" | [[File:Crystal_Clear_mimetype_spreadsheet.png|80x80px]] | ||
| | | | ||
* [ | * [https://openmv.net All course datasets] | ||
<hr> | <hr> | ||
|} | |} | ||
| Line 64: | Line 64: | ||
! Class | ! Class | ||
! Topic | ! Topic | ||
! Slides [[Image:Nuvola_mimetypes_pdf.png|20px]] | |||
|- | |- | ||
| 1 | | 1 | ||
| [[Overview class | Course overview and introduction to latent variable methods]] | | [[Overview class | Course overview and introduction to latent variable methods]] | ||
| [[Media:Lvm-class-1.pdf|Class 1 ]] | |||
|- | |- | ||
| 2, 3 | | 2, 3 | ||
| [[Principal Component Analysis | Principal component analysis]] (PCA) | | [[Principal Component Analysis | Principal component analysis]] (PCA) | ||
| [[Media:Lvm-class-2.pdf|Class 2 ]], [[Media:Lvm-class-3.pdf|Class 3 ]] | |||
|- | |- | ||
| 4, 5 | | 4, 5 | ||
| [[Process monitoring| Application of PCA to process monitoring]] | | [[Process monitoring| Application of PCA to process monitoring]] | ||
| [[Media:Lvm-class-4.pdf|Class 4 ]], [[Media:Lvm-class-5.pdf|Class 5 ]] | |||
|- | |- | ||
| 6, 7 | | 6, 7 | ||
| [[Projection to Latent Structures| Projection to latent structures]] (PLS) | | [[Projection to Latent Structures| Projection to latent structures]] (PLS) | ||
| [[Media:Lvm-class-6.pdf|Class 6 ]], [[Media:Lvm-class-7.pdf|Class 7 ]] | |||
|- | |- | ||
| 7, 8 | | 7, 8 | ||
| [[Applications of Latent Variable Methods| Applications of latent variable methods]]: Soft sensors; Advanced preprocessing | | [[Applications of Latent Variable Methods| Applications of latent variable methods]]: Soft sensors; Advanced preprocessing | ||
| [[Media:Lvm-class-7.pdf|Class 7 ]], [[Media:Lvm-class-8.pdf|Class 8 ]] | |||
|- | |- | ||
| 9 | | 9 | ||
| [[Dealing with image data|Dealing with image data]] | | [[Dealing with image data|Dealing with image data]] | ||
| [[Media:Lvm-class-9.pdf|Class 9 ]] | |||
|- | |- | ||
| 10 | | 10 | ||
| [[Applications of Latent Variable Methods| Applications of latent variable methods]]: Classification | | [[Applications of Latent Variable Methods| Applications of latent variable methods]]: Classification | ||
| [[Media:Lvm-class-10.pdf|Class 10 ]] | |||
|- | |- | ||
| 11 | | 11 | ||
| [[Dealing with batch data|Dealing with batch data]] | | [[Dealing with batch data|Dealing with batch data]] | ||
| [[Media:Lvm-class-11.pdf|Class 11 ]] | |||
|- | |- | ||
| 12 | | 12 | ||
| [[Multiblock data analysis| Multiblock data analysis]]: dealing with data from multiple sources | | [[Multiblock data analysis| Multiblock data analysis]]: dealing with data from multiple sources | ||
| [[Media:Lvm-class-12.pdf|Class 12 ]] | |||
|- | |- | ||
| 13 | | 13 | ||
| [[New product development and reformulation]] | | [[New product development and reformulation]] | ||
| [[Media:Lvm-class-13.pdf|Class 13 ]] | |||
|- | |- | ||
| 14 | | 14 | ||
| Line 100: | Line 111: | ||
---- | ---- | ||
* [[Course videos| Recorded videos of all classes]] | * [[Course videos| Recorded videos of all classes]] | ||
* [ | * [https://learnche.org/literature References and readings]<br> | ||
* A <b>freely available</b> | * [[Image:Nuvola_mimetypes_pdf.png|20px]] A <b>freely available</b> textbook for this course: [http://learnche.org/pid Process Improvement using Data] (ch 6) | ||
|} | |} | ||
</div> | </div> | ||
|} | |} | ||
Latest revision as of 15:47, 20 January 2021
Latent Variable Methods for Engineering
