Difference between revisions of "Main Page"

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* The next class, 11 November, starts at 15:00
* The next class, 11 November, starts at 15:00
* There is [[Dealing with image data|some homework for you this week]], but you don't have to hand anything in.
* There is [[Dealing with image data|some homework for you this week]], but you don't have to hand anything in.
* Thanks for the course evaluations. They were very positive. Some follow-up:
** Please let me know, by email, the page numbers of any slides that have errors. I really want to fix those up and re-upload them to the website.
** You asked for more applications: the rest of the course is purely application based, whereas the first classes were introducing the theory, with very minor applications.
** A few students requested a discussion about different software implementations: please remind me to raise this.
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Revision as of 01:45, 7 November 2011

Latent Variable Methods for Engineering: CHE 765


Administrative
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Announcements

  • The next class, 11 November, starts at 15:00
  • There is some homework for you this week, but you don't have to hand anything in.
  • Thanks for the course evaluations. They were very positive. Some follow-up:
    • Please let me know, by email, the page numbers of any slides that have errors. I really want to fix those up and re-upload them to the website.
    • You asked for more applications: the rest of the course is purely application based, whereas the first classes were introducing the theory, with very minor applications.
    • A few students requested a discussion about different software implementations: please remind me to raise this.
Class materials
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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: Projection to latent structures (PLS)

7,8 Applications of latent variable methods

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 Process optimization and new product development

14 Course project presentations

Assignments, projects and datasets
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Assignments

Project

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Course calendar

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