January 9, 2017 - 9 Am - 12 Pm: Python Basics - Dr. Tianbao Yang
This introductory class covers the basic elements in Python programming including string, list, dictionary, file I/O.
January 10, 2017 - 9 Am - 12 Pm: Introduction to R - Dr. Daniel Sewell
This introductory course in R will begin by covering the basic data and programming structures of the R language. According to the interest and time available , subsequent topics will include linear algebra routines, data visualization, enhancing computational performance, and fundamental statistical procedures. Data analyses will be a fundamental part of the course.
January 11, 2017 - 9 Am - 12 Pm: Geovisualization and GeoVisual Analytics - Dr. Caglar Koylu
The course covers the topics of Geographic Information Science, Geovisualization and Visual Analytics
January 12, 2017 - 9 Am - 12 Pm: Network Analysis Using R - Dr. Elizabeth Menninga
Introduction to Social Network Analysis with R will introduce attendees to concepts of social network analysis by illustration. The course will walk through R code, learning what the code does and introducing network concepts along the way. Attendees will leave with knowledge of commonly used R packages useful for network analysis. At least a small amount of prior experience with R is recommended.
January 13, 2107 - 9 Am - 12 Pm: Text Analysis (Python & R) - Dr. Bryce Dietrich
This course will give students the tools necessary to analyze a variety of documents, both spoken and written, with some basic routines in R and Python.