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Revision as of 21:38, 6 March 2013

Statistics for Engineers: CHE 4C3/6C3

Administrative

Class materials

Announcements (previous ones) or Follow @stats4eng

01 Mar: a guest lecture by Emily Nichols, on designed experiments is coming up on 08 March. Please aim to be at class for this interesting talk and discussion afterwards.
- New: The slides for the guest lecture on Friday.

04 Mar: Dr. Thompson is looking to fill a summer position in acoustic emissions testing. He would like to get a person with MATLAB skills and a more process control or stats focus. The project is about detecting a specific failure mode in plastics with acoustic monitoring so that we can catch the problem faster. But the focus will be on handling data. At 5 MHz, we collect A LOT of data very fast and we need to related a change in the acoustic spectrum to the formation of a microcrack. A process control oriented person or person comfortable with PCA would be most desirable.
- I will be helping Dr. Thompson with the supervision and the data analysis part.
- Please reply to Dr. Thompson (maybe CC me) to express your interest in this project.

05 Mar: Project proposal emails to me must include:
- What is your objective: describe it clearly; describe how you are going to measure it.
- What are all possible variables that can influence your objective?
- Which variables are you going to keep fixed in your experiments?
- Which variables are you going to vary? Tell me the low and high levels you are going to use for each variable.

Notes for 2013 class

Topic	Latest slides (last update, version)
0. Course outline and overview	PDF
1. Visualizing process data	PDF
2. Univariate data analysis	PDF (29 Jan, v33)
3. Process monitoring	PDF (06 Feb, v41)
4. Least squares modelling	PDF (01 Mar, v52)
5. Design and analysis of experiments	PDF (26 Feb, v49)
6. Latent variable methods and applications
7. Course wrap up

@@ Line 41: / Line 41: @@
 ** What are all possible variables that can influence your objective?
 ** Which variables are you going to keep fixed in your experiments?
-** Which variables are you going to vary? Tell me the low and high levels you are going to use for each variable,
+** Which variables are you going to vary? Tell me the low and high levels you are going to use for each variable.
 |}