Main Page

• Location and hours
• Course outline
• Course software and an R tutorial
• Course videos
• Check your grades (last updated: 28 April 2010)

Announcements - previous ones available from

This is the website for the 2010 course. Materials for the 2011 course are at http://stats4eng.connectmv.com

Links on this site will automatically redirect to the new site.

Kevin

1. Course overview and materials for all classes

1. Visualizing data
2. Review of univariate statistics
3. Process monitoring
4. Least squares modelling
5. Design and analysis of experiments (DOE)
6. Latent variable methods and applications (PCA, PCR, PLS)

26. Course wrap up

Extra classes on latent variable methods:

• Class 1 13 April: applications of PCA
• Class 2 19 April: introducing PLS
• Class 3 26 April: using PCA and PLS for classification
• Class 4 30 April: time-series modelling & empirical modelling with PCA and PLS

     Supplementary readings
     Corrections to PDF versions of course notes

1. Visualization assignment (with solutions)
2. Univariate data analysis assignment A (with solutions)
3. Univariate data analysis assignment B (with solutions)
4. Process monitoring charts assignment (with solutions)
5. Least squares assignment (with solutions)
6. Design of experiments A (with solutions)
7. Design of experiments B (with solutions)
8. Design of experiments C (optional assignment)
9. Latent variable methods (optional assignment; bullet point solutions)

• Assignment grading system

• Mini-project for design of experiments

• Midterm exam:
  • Take-home midterm (Solution)
  • In-class midterm (Solution)

• Final exam:
  • Practice questions from previous McMaster exams
  • Take-home portion (solutions were covered in class on 5 April)
  • Written portion (23 April 2010, 14:00)