Week 5 – April 29

Under Docs (pull down menu), see

Monday:

  • 10-12   See Stats and ML pages.
  • 1-3  Seminar.
    Required reading – remainder of Lady Tasting Tea.
    1-2 page reflection writing due in seminar – on ONE of the two topics below (or your own question).  Bring a hardcopy to class and upload an electronic copy to the moodle:
    Note: DO NOT summarize part of the reading or retell a story told by Salsberg in the text. Instead, provide an interpretation of and/or an opinion about what you read. If you feel like the default topics are leading you down a path to summary, please choose your own topic to discuss.
  • Default Topic 1:  L.J. Cohen believes that decisions based on probabilistic arguments are not logical decisions (p. 300).  Consider this argument and discuss whether or not statistical models can be used to make decisions. 
  • Default Topic 2:   Does statistics primarily deal with distinctions “below the level of human perception” as Suppes argues (p. 307) ? If so, how can it be relevant? How does this insight apply to computing?

Tuesday

  • 9:30-10 – Stats in-class midterm (on moodle).  You must be in lab to get the password to take this quiz, not at home, but you can use your own laptop.  No notes, no books.  Remember you can review (and practice) all prior quizzes by retaking them as many times as you like.
  • 10-12 – Stats Lab  – Last week’s stats lab due.  Bring hard copy to lab and submit the excel file to the fileshare: programs/cpt/Workspace/_StatsLabReports/Week_4/
  • 1-3pm  Project Meetings with faculty –  Lab 2617 reserved for working on your projects, or finishing Stats or Data Mining labs.
    judy’s tuesday projects – watch for an email that says whether or not she has to be in Seattle between 12-3:30!  Even if I am not there Tuesday afternoon, you will meet as a group, and bring your reports.   I will find someone good to stand-in for (and report to) me!
  • 3:30 – PLATO Royalty Lecture (required for all those taking seminar; suggested for all others!    Guillaume S. Mauger, Ph.D., Postdoctoral Research Associate, Climate Impacts Group, College of the Environment, University of Washington.   Introduction to Climate Change and Climate Change Models.  See Lecture Schedule.

Wednesday  – 10-12   See Stats and ML pages.

  • Review for stats take-home midterm, which be be available at noon and due Monday, May 6.

Thursday

  • 9:30-10:15 – ML in-class midterm (on moodle).  You must be in lab to get the password to take this quiz, not at home, but you can use your own laptop.  Remember you can review (and practice) all prior quizzes by retaking them as many times as you like.
  • 10:15-12 – Data Mining Lab – Turn in your lab report from today by midnight to fileshare (Workspace\\_DataMining\\Lab 5)
  • 1-2:30 – Project Meetings with faculty – Lab 2617 reserved for working on your projects, or finishing stats or Data Mining labs.
  • by Midnight, post a response on moodle to 2 of other students’ Seminar Papers.

Friday
ML Homework ???  is due. See ML page.