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Statistics for Engineers: CHE 4C3/6C3

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Class materials

Course outline Official course textbook Supplementary readings A self-paced software tutorial for R Course videos and audio from 2010, 2011, 2012, 2013 and 2014 Copyright and other legal stuff Comments, questions, feedback? Don't wait for official course evaluations. Announcements (previous ones) or Follow @stats4eng 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. 28 Jan: the third assignment has been posted; due on 05 February, in class. 28 Jan: the notes for the next section, least squares modelling, have been posted. 29 Jan: interested in presenting a paper? This will be a great experience to practice making a presentation at the Monsaroff night. 30 Jan: I'm interested to know your opinion on the following: "How would you feel if 4C3 was offered as a purely online course, with high-quality videos, website, assignments, quizzes, and interaction/office-hours with TAs and the instructor via Skype (or similar web-based chatting software)". In other words, replace the 3 hours of class time with (interactive?) video modules. Let me know your thoughts by email, or at via this web page (if you'd like to respond anonymously).

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 PDF 4. Design and analysis of experiments 5. Process monitoring 6. Latent variable methods and applications 7. Course wrap up Suggested readings Materials for the 2013 class (use this to read ahead if you are in the 2014 class)

Assignments, projects, exams

Course calendar

Assignments: Assignment 1 - 2014, with full solutions Assignment 2 - 2014, due on 23 January, in class Assignment 3 - 2014, due on 05 February, in class Assignment 4 - 2014 Assignment 5 - 2014 Assignment 6 - 2014 Assignment 7 - 2014 How to submit an assignment electronically Tests, exams and project Designed experiments project Response surface project Final exam Practice questions for tests and exams Tables Tables of the normal and \(t\)-distribution DOE trade-off table Datasets All course datasets