Difference between revisions of "Main Page"

Revision as of 14:11, 17 September 2018

Latent Variable Methods for Engineering

Administrative

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

Assignments

Project

Class materials, datasets and video

Class	Topic	Slides
1	Course overview and introduction to latent variable methods	Class 1
2, 3, 4	Principal component analysis (PCA)	Class 2 , Class 3 , Class 4
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

@@ Line 64: / Line 64: @@
 ! Class
 ! Topic
+! Slides
 |-
 | 1
 | [[Overview class | Course overview and introduction to latent variable methods]]
+| [[Image:Nuvola_mimetypes_pdf.png|20px|link=Media:Lvm-class-1.pdf]] [[Media:Lvm-class-1.pdf|Class 1 ]]
 |-
 | 2, 3, 4
 | [[Principal Component Analysis | Principal component analysis]] (PCA)
+| [[Image:Nuvola_mimetypes_pdf.png|20px|link=Media:Lvm-class-2.pdf]] [[Media:Lvm-class-2.pdf|Class 2 ]],  [[Media:Lvm-class-3.pdf|Class 3 ]], [[Media:Lvm-class-4.pdf|Class 4 ]]
 |-
 | 4, 5