Difference between revisions of "Main Page"

Revision as of 18:07, 19 January 2014

Statistics for Engineers: CHE 4C3/6C3

Administrative

Class materials

Announcements (previous ones) or Follow @stats4eng

16 Jan: all the R source code for any of the figures in the lecture notes and slides is available. Send me an email requesting this code, giving a page/slide number.

16 Jan: the second assignment is posted. As mentioned, the assignments will be frequent at the start, slowing down near the end of term.

Notes for 2014 class

Topic	Latest slides
0. Course outline and overview	PDF
1. Visualizing process data	PDF
2. Univariate data analysis	PDF
3. Least squares modelling
4. Design and analysis of experiments
5. Process monitoring
6. Latent variable methods and applications
7. Course wrap up

Materials for the 2013 class (use this to read ahead if you are in the 2014 class)

Assignments, projects, exams

Course calendar

Assignments:

Tests, exams and project

Tables

Datasets

All course datasets

@@ Line 26: / Line 26: @@
 '''Announcements''' ([[Archived-Announcements-2014|previous ones]]) or <html><a href="https://twitter.com/stats4eng" class="twitter-follow-button" data-show-count="true" data-lang="en">Follow @stats4eng</a>
 <script>!function(d,s,id){var js,fjs=d.getElementsByTagName(s)[0];if(!d.getElementById(id)){js=d.createElement(s);js.id=id;js.src="//platform.twitter.com/widgets.js";fjs.parentNode.insertBefore(js,fjs);}}(document,"script","twitter-wjs");</script></html>
-* 10 Jan: the slides for the next 2 weeks are posted. We start a new section where we consider [[Univariate data analysis (2014) |univariate data analysis]] on Monday.
-* 14 Jan: the first [http://quest.mcmaster.ca/ Quest is posted]. If you are registered for 4C3 or 6C3 then you would have received an email about it today.
-* 15 Jan: it is interesting that [http://www.edge.org/response-detail/25401 this blog article was recently posted]: looks like I got my dates and person wrong regarding the standard deviation. What is interesting is the notion of using MAD instead of standard deviation. As discussed today in class, I quite agree with his statements (to a point).
 * 16 Jan: all the R source code for any of the figures in the lecture notes and slides is available. Send me an email requesting this code, giving a page/slide number.