Difference between revisions of "Main Page"

Revision as of 15:51, 5 December 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	Class 13
14	Course project presentations

@@ Line 112: / Line 112: @@
 * [[Course videos| Recorded videos of all classes]]
 * [http://literature.connectmv.com/ References and readings]<br>
-* A <b>freely available</b> textbook for this course: [http://learnche.org/pid Process Improvement using Data] (ch 6)
+* [[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>
 |}