UI3/ISRC Data Science Institute: Network Analysis Using R

40 Schaefer Hall
Monday, June 4th, 2018

The University of Iowa, a pioneer in Informatics research, will host a data science institute featuring a number of mini-classes the week of June 4-8, 2018. The workshop is a collaborative effort between the Iowa Social Science Research Center (ISRC) and the Iowa Informatics Initiative (UI3). The institute will teach participants about the basic building blocks of coding as applied in the fields of the Biological, Physical, Social Sciences, and Digital Humanities. We welcome faculty, staff, post-docs, graduate, and undergraduate students interested in building new skills in informatics. The topics for Summer 2018 include applications of Python and R programming languages to understand networks, social media analytics, information and data visualization. Faculty from UI3,  Educational Measurement and Statistics (CoEdu) and Social Science will teach the courses.

June 4 - 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.

The Data Science Institute is sponsored by the Iowa Informatics Initiative (UI3) and the Iowa Social Science Research Center (ISRC).

Each course will involve a 4 hour morning session focused on instructor presentation of the material. Sessions will meet in 40 Schaeffer Hall (SH 40).

Visit our website for more information:  https://uiowa.edu/datascience.

Follow the below link to register for the June Data Science Institute. There is no fee associated with the institute. You can register for all the sessions or individual sessions (see below).

Register here: https://uiowa.qualtrics.com/jfe/form/SV_00R12RTg7biZKdL

The number of seats per session is limited to 60. There will be a waitlist accessed through the registration survey after the quota fills for each session.

Please contact Fred Boehmke, Sai Ramadugu, or Elizabeth Menninga with questions.