1. CLASSROOM CHANGE:

      Starting from April 5, Classroom will be moved to
     Instructional Computing Lab at  Boelter 9413  (see map)

2.  Distribute the tentative course outline.

3.  Find  the data you want to work on,
     hopefully by the end of this week.
     A team work  involving no more than 4 persons is fine.
    Try to talk or e-mail to me about what you have in mind and your progress biweekly.

    First phase progress report ( Week  4)
    Second phase progress report (Week  8)
    Final report ( Week 11)
 

4. Possible  public data sources  from web sites:

   4.1. Gene expression .  http://cmgm.stanford.edu/pbrown/

  4.2.  NCAR (national ceneter for atmospheric research). http://www.scd.ucar.edu/dss/

  4.3.  Government : Source: US Bureau of Labor Statistics .    http://www.bls.gov

  4.4. Other web sites  : please share information if you have one.

5. Lecture Notes available for download  (An updated version will be ready by this weekend; so  just
           print the first few pages for this first week of study)
          :  dimension-reduction and data visualization

6. Software available :

    Programs-for-216

7. A quick overlook on  some data sets to be used for illustration :

  7.1. Boston Housing.

  7.2. Baseball players' salary data.

  7.3.  LA ozone.

  7.4. Handwritten Zip code recognition.

  7.5.  China weather

  7.6. US unemployment rates

  7.7. Optical intrinsic signal

  7.8. Functional MRI

  7.9. Yeast gene expression (diauxic shif)

  7.10. Digital-to-Analog Converter errors

  7.11.  PPB data

  7.12.  Others.