NVivo 2: Correlating Demographic Data with Themes

Wednesday or Thursday, February 10 or 11
3:30 p.m.- 5:00 p.m.
G-11 Halle Library.
Karen Busch, Presenting
In this second session, we will focus on the use of numerical (usually demographic) data, and relating it to the qualitative data. We will also create reports and models from the data.
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Towards a Sustainable EMU
Sustainability in Michigan: What You Need to Know

Friday, February 12
1:00 p.m.- 3:00 p.m.
109 Halle Library.
Janet Kauffman presenting
When considering the implications of incorporating sustainability into EMU’s courses and processes, its location in the state of Michigan is an important factor to consider. At the inaugural session in this series we will discuss the realities of sustainability in Michigan and what impact it can have on teaching and course-design.
Janet Kauffman has been an English professor at EMU since 1988 and has recently retired. She is a creative writer with three novels, two volumes of poetry and many short stories and articles, often relating to the natural world.
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Art Store & Lunar: Visual Resources

Monday, February 15
1:00 p.m.- 3:00 p.m.
109 Halle Library.
Randall Baier, Presenting
You might think that an image database is useful only to art historians or art teachers, yet images offer powerful enhancement to teaching in almost any discipline.This hands-on workshop will introduce you to LUNA and ARTstor, two image management tools available through the EMU library, which allow you to present and manage images for enhanced research and teaching. Both comprise collections of images & maps pertaining to multiple disciplines. Visually,these programs improve what you can do with Powerpoint. Topics covered include: Reviewing the image collections from LUNA and ARTstor, Creating presentations from within each program, Incorporating your own images into presentations, Incorporating online content such as Flickr images into collections and presentations. Refreshments (chocolate and strawberries) will be served.
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Data Visualization with JMP® Statistical Discovery Software

Wednesday or Thursday, February 17 or 18
1:00 p.m.- 3:00 p.m.
111 Halle Library.
Joe Scazzero, Presenting
A challenge to students in many applied statistics courses is getting from concept to effective application. While most statistics software requires students to memorize where techniques and graphics are located on menus, JMP® provides a smart interface that reinforces concepts and provides an intuitive framework for real-world data analysis.
JMP provides the complete spectrum of statistics and graphics for engineering, science and business needs – from basic analytics to the most complex analyses a Ph.D. student may encounter. JMP runs on Windows, Macintosh and Linux operating systems and also functions as an easy, point-and-click interface to SAS where the user can create, run or access SAS Programs and data.
JMP is visual and interactive. It drives you through statistics using point, click, drag, and drop, and then displays results as statistics and multiple graphs in the same window. You can easily subset, perform subsequent analyses, and create 3D and moving graphics to help understand the results of your analyses.
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