This page contains the materials and resources posted by the instructors for the classes taught from January 9-13, 2017.

Python Basics

Participants need to come to the class with working installation of Enthought Canopy.

Download the software Canopy here. Canopy is free for University of Iowa students/faculty/staff. The slides for the class are [[{"fid":"36","view_mode":"default","fields":{"format":"default"},"type":"media","link_text":"here","field_deltas":{"1":{"format":"default"}},"attributes":{"class":"file media-element file-default","data-delta":"1"}}]].

Introduction to R

Participants need to come to the class to with working installations of R, RStudio and RTools (for Windows) in order to be ready to code in the class.

[[{"fid":"31","view_mode":"default","fields":{"format":"default"},"type":"media","link_text":"Slides","field_deltas":{"2":{"format":"default"}},"attributes":{"class":"file media-element file-default","data-delta":"2"}}]] for R Class

Download Software: R; RStudio; RTools.

​Geovisualization 

Any text edit (something like Sublime Text or Atom) and web-browser is all that is needed for this course. Caglar has put up a website for the participants of this course. Please click here to visit the website.

Network Analysis Using R

The prerequisites for this class are a working installation of R, RStudio and the packages Net Data, SNA and igraph. Code link for this class is here.

Text Analysis (Python & R)

The [[{"fid":"41","view_mode":"default","fields":{"format":"default"},"type":"media","link_text":"course material","field_deltas":{"3":{"format":"default"}},"attributes":{"class":"file media-element file-default","data-delta":"3"}}]] and the [[{"fid":"46","view_mode":"default","fields":{"format":"default"},"type":"media","link_text":"preliminaries slides","field_deltas":{"4":{"format":"default"}},"attributes":{"class":"file media-element file-default","data-delta":"4"}}]] for the Text Analysis course.