Archived-Announcements-2014
Revision as of 14:29, 3 February 2014 by Kevin Dunn (talk | contribs)
Prior announcements -- from most recent to earliest
- 28 Jan: the notes for the next section, least squares modelling, have been posted.
- 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.
- 23 Jan: the full solutions to assignment 1 are posted.
- 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.
- 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.
- 15 Jan: it is interesting that 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).
- 14 Jan: the first Quest is posted. If you are registered for 4C3 or 6C3 then you would have received an email about it today.
- 10 Jan: the first assignment is posted. Due in under a week from now. Use the software tutorial to plot any of the plots (or whichever software you prefer).
- 10 Jan: the slides for the next 2 weeks are posted. We start a new section where we consider univariate data analysis on Monday.
- 09 Jan: Please make sure you can see the 4C3 course in Avenue; if not, please do a search for the course and add it. If I can't see your name then you are not on my class list, and will be missing out on the on-line quizzes (and grades for them).
- 06 Jan: the midterm date is now Wednesday, 12 February, in the evening.
- 06 Jan: slides for the next section, data visualization are posted.
- 04 Jan: the first class is on 06 January, at 16:30 in MDCL 1110. See you there!
- 30 Dec: consider following the Twitter account for this course: @stats4eng so you always stay up to date.
- 30 Dec: the course outline for 2014 has been posted.