Difference between revisions of "Main Page"

Revision as of 20:18, 23 January 2014

Statistics for Engineers: CHE 4C3/6C3

Administrative

Class materials

Announcements (previous ones) or Follow @stats4eng

21 Jan: there has been a request to cover more practice problems in class; unfortunately there isn't a lot of class time for this course, so I'm relying on you to go through many of the worked examples in the course textbook - there are full solutions to most questions in Chapter 2.

22 Jan: a new version of the PID course textbook has been published; minor spelling/grammar corrections and layout updates only. Thanks for all the suggested updates.

22 Jan: a new Quest has been posted. Check your McMaster email addresses for a sign in code. It closes by Friday, at 23:59.

23 Jan: it's not too late to sign up and watch some of the online course videos from Coursera's Computing for Data Analysis course. It covers the use of R to analyze data sets.

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 34: / Line 34: @@
 * 23 Jan: the full solutions to  [[Assignment 1 - 2014|assignment 1]] are posted.
+* 23 Jan: it's not too late to sign up and watch some of the online course videos from [https://www.coursera.org/course/compdata Coursera's Computing for Data Analysis] course. It covers the use of R to analyze data sets.
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