Difference between revisions of "Main Page"

From Latent Variable Methods in Engineering
Jump to navigation Jump to search
m
m
Line 62: Line 62:
| valign="top" | [[File:Crystal_Clear_app_korganizer.png|80x80px]]
| valign="top" | [[File:Crystal_Clear_app_korganizer.png|80x80px]]
|
|
1: [[Overview class | Course overview and introduction to latent variable methods]]
2,3,4: [[Principal Component Analysis | Principal component analysis]] (PCA)
4,5: [[Process monitoring| Application of PCA to process monitoring]]
6: [[Projection to Latent Structures| Projection to latent structures]] (PLS)
7,8 [[Applications of Latent Variable Methods| Applications of latent variable methods]]: Soft sensors; Advanced preprocessing
9 [[Dealing with image data|Dealing with image data]]
10 [[Applications of Latent Variable Methods| Applications of latent variable methods]]: Classification
11 [[Dealing with batch data|Dealing with batch data]]
12 [[Multiblock data analysis| Multiblock data analysis]]: dealing with data from multiple sources
13 [[New product development and reformulation]]
14 [[Course project presentations]]


{|
! Class
! Topic
|-
| 1
| [[Overview class | Course overview and introduction to latent variable methods]]
|-
| 2, 3, 4
| [[Principal Component Analysis | Principal component analysis]] (PCA)
|-
| 4, 5
| [[Process monitoring| Application of PCA to process monitoring]]
|-
| 6, 7
| [[Projection to Latent Structures| Projection to latent structures]] (PLS)
|-
| 7, 8
| [[Applications of Latent Variable Methods| Applications of latent variable methods]]: Soft sensors; Advanced preprocessing
|-
| 9
| [[Dealing with image data|Dealing with image data]]
|-
| 10
| [[Applications of Latent Variable Methods| Applications of latent variable methods]]: Classification
|-
| 11
| [[Dealing with batch data|Dealing with batch data]]
|-
| 12
| [[Multiblock data analysis| Multiblock data analysis]]: dealing with data from multiple sources
|-
| 13
| [[New product development and reformulation]]
|-
| 14
| [[Course project presentations]]
|}
----
----
* [[Course videos| Recorded videos of all classes]]
* [[Course videos| Recorded videos of all classes]]

Revision as of 02:10, 11 April 2012

Latent Variable Methods for Engineering


Administrative
Crystal Clear action configure.png

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
Crystal Clear app kedit.png

Assignments

Project

Crystal Clear mimetype spreadsheet.png


Class materials
Crystal Clear app korganizer.png
Class Topic
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, 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
Retrieved from "https://learnche.org/wiki_latent/index.php?title=Main_Page&oldid=149"