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Free Non-credit Courses Descriptions
Spring 2012
Introduction to GIS
Just looking to make a map? We can help with that. This is an extremely short
introduction to GIS aimed at non-geographers. Learn how to load geographic
shapefiles, join them to tabular data, and produce pretty cartographic
representations. File management practices will be considered (learn how to get
rid of that red exclamation point) and we cover some common sources for GIS
data. Specific questions welcomed!
Instructor: Joe Eckert
Date: Tuesday, April 17
Time: 1:00PM to 2:00PM
Place: Savery 117
PDF-izing Your Dissertation or Thesis
The UW has jumped into the Electronic Age and is now requiring students seeking
graduate degrees to submit their final publications as PDFs. Here's a short
overview on ways to do that.
Instructor: Dixielynn Gleason
Date: Tuesday, April 24
Time: 8:30AM to 9:30AM
Place: Savery 121
Data Preparation & Beautification Techniques
A substantial amount of data cleaning and formatting is typically necessary
before data analysis can proceed. This course will cover basic approaches for
data cleaning and preparation. Examples will be shown in Excel, SPSS & R.
Instructor: Colin Beam
Date: Monday April 30
Time: NOON to 1:00PM
Place: Savery 121
Data Management in Stata
This class will help researchers work with messy data problems in Stata. We
will discuss common problems and solutions for merging data, reshaping files,
working with panel data or nested data, string and numerical commands, create
variable commands (egen commands), and date commands. Prior experience with
Stata is helpful.
Instructor: Kristan Seibel
Date: Monday May 7
Time: NOON to 1:00PM
Place: Savery 121
UW WordPress
This class will explore options for free web publishing and hosting offered by
the University with an emphasis on developing WordPress blogs and websites. We
will also cover UW branding standards and templates.
Instructor: Jeff Mathias
Date: Wednesday, May 9
Time: 5:00PM to 6:00PM
Place: Savery 121
Introduction to SAS
In this beginning class, some basic features of SAS and basic data analysis
procedures will be covered. The topics include: an overview of the SAS system,
how to create SAS data sets and to access permanent SAS data sets, as well as
formatting data, concatenating and match merging data sets, and some basic
statistics procedures.
Instructor: Tina Tian
Date: Thursday, May 10
Time: 2:00PM to 3:00PM
Place: Savery 121
Introduction to SPSS
This course will cover the basics of the SPSS package. This is an ideal course
for students with no experience with this software. We will cover the structure
of SPSS and how to input, manipulate, analyze and show statistical data.
Instructor: Stephanie Lee
Date: Thursday, May 10
Time: 3:30PM to 4:30PM
Place: Savery 121
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