Difference between revisions of "Main Page"

Revision as of 14:15, 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	Principal component analysis (PCA)	Class 2 , Class 3
4, 5	Application of PCA to process monitoring	Class 4 , Class 5
6, 7	Projection to latent structures (PLS)	Class 6 , Class 7
7, 8	Applications of latent variable methods: Soft sensors; Advanced preprocessing	Class 7 , Class 8
9	Dealing with image data	Class 9
10	Applications of latent variable methods: Classification	Class 10
11	Dealing with batch data	Class 11
12	Multiblock data analysis: dealing with data from multiple sources	Class 12
13	New product development and reformulation
14	Course project presentations

@@ Line 88: / Line 88: @@
 | 9
 | [[Dealing with image data|Dealing with image data]]
+| [[Image:Nuvola_mimetypes_pdf.png|20px|link=Media:Lvm-class-9.pdf]] [[Media:Lvm-class-9.pdf|Class 9 ]]
 |-
 | 10
 | [[Applications of Latent Variable Methods| Applications of latent variable methods]]: Classification
+| [[Image:Nuvola_mimetypes_pdf.png|20px|link=Media:Lvm-class-10.pdf]] [[Media:Lvm-class-10.pdf|Class 10 ]]
 |-
 | 11
 | [[Dealing with batch data|Dealing with batch data]]
+| [[Image:Nuvola_mimetypes_pdf.png|20px|link=Media:Lvm-class-11.pdf]] [[Media:Lvm-class-11.pdf|Class 11 ]]
 |-
 | 12
 | [[Multiblock data analysis| Multiblock data analysis]]: dealing with data from multiple sources
+| [[Image:Nuvola_mimetypes_pdf.png|20px|link=Media:Lvm-class-12.pdf]] [[Media:Lvm-class-12.pdf|Class 12 ]]
 |-
 | 13