{"id":131,"date":"2018-03-02T18:48:00","date_gmt":"2018-03-02T18:48:00","guid":{"rendered":"http:\/\/depts.washington.edu\/csscr\/?page_id=131"},"modified":"2026-06-23T18:16:25","modified_gmt":"2026-06-23T18:16:25","slug":"courses","status":"publish","type":"page","link":"https:\/\/depts.washington.edu\/csscr\/courses\/","title":{"rendered":"Workshops Descriptions"},"content":{"rendered":"<p>*****************************************************************************<br \/>\n*****************************************************************************<br \/>\n*****************************************************************************<\/p>\n<h2><strong>CSSCR Workshop Offerings Summer Quarter 2026<\/strong><\/h2>\n<p>***Workshops are listed in the order of the dates they will be delivered***<\/p>\n<p>****************************************************************************<\/p>\n<p><strong>Introduction to R<\/strong><\/p>\n<p>Description: This workshop aims to introduce basic tools and functions of R for reading, management  and examining datasets. Attendees are assumed to have little to no experience with R<\/p>\n<ul>\n<li>Instructor: Alireza Aminkhaki, CSSCR Consultant<\/li>\n<li>Date:\u00a0 Tuesday, July 7, 2026<\/li>\n<li>Time: 10:00am \u2013 11:20am<\/li>\n<li>Location: Savery 121 (Small Lab)<\/li>\n<li>Register\u00a0<a href=\"https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSesAZi9PRPNeAgM2iOKw7gK8XKEa3bUHjFthyOS-FF99KmNCw\/viewform?usp=pp_url\">here<\/a>.<\/li>\n<\/ul>\n<p>*****************************<br \/>\n*****************************<\/p>\n<p><strong>Data Wrangling in R<\/strong><\/p>\n<p>Description:\u00a0 This workshop will cover some of R\u2019s useful tools for data management and exploration. Most of class will be devoted to learning Hadley Wickham\u2019s excellent \u201ctidyr\u201d and \u201cdplyr\u201d packages. Attendees are assumed to have basic familiarity with R\/RStudio.<\/p>\n<ul>\n<li>Instructor:\u00a0 Victoria Sass, CSSCR Consultant<\/li>\n<li>Date:\u00a0 Thursday, July 9, 2026<\/li>\n<li>Time: 10:00am \u2013 11:20am<\/li>\n<li>Location: Savery 117 (Big Lab)<\/li>\n<li>Register\u00a0<a href=\" https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSesAZi9PRPNeAgM2iOKw7gK8XKEa3bUHjFthyOS-FF99KmNCw\/viewform?usp=pp_url\">here<\/a>.<\/li>\n<\/ul>\n<p>****************************<br \/>\n****************************<br \/>\n<strong>Efficient R Programming: Working with Many Columns, Functions, and Models<\/strong><\/p>\n<p>Description: A good rule of thumb in data wrangling and programming is: if you find yourself copying and pasting a block of code more than twice, it\u2019s time to stop and think about a more efficient approach. This course will introduce functional programming and other techniques to reduce redundancy and enhance the computational efficiency of your R code. We will cover practical skills frequently used in data projects, such as manipulating multiple columns, writing anonymous functions, using map(), nesting dataframes within tibbles, and running multiple regressions and comparing them results simultaneously. Attendees are expected to have basic familiarity with data wrangling using dplyr in R.   <\/p>\n<ul>\n<li>Instructor: Brian Leung, CSSCR Consultant<\/li>\n<li>Date:\u00a0Monday, July 20, 2026<\/li>\n<li>Time: 10:00am \u2013 11:20am<\/li>\n<li>Location: Savery 121 (Small Lab)<\/li>\n<li>Register\u00a0<a href=\"https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSesAZi9PRPNeAgM2iOKw7gK8XKEa3bUHjFthyOS-FF99KmNCw\/viewform?usp=pp_url\">here<\/a>.<\/li>\n<\/ul>\n<p>*****************************<br \/>\n*****************************<\/p>\n<p><strong>Geospatial Analysis in Python<\/strong><\/p>\n<p>Description: This workshop introduces core concepts and tools for working with spatial data in Python, providing overview for geospatial data models, vector analysis with Shapely\/GeoPandas, and raster processing with Rasterio\/GDAL. Participants are encouraged to take an introductory Python course but not required. <\/p>\n<ul>\n<li>Instructor: Yuying Xie, CSSCR Consultant<\/li>\n<li>Date:\u00a0 Monday, Jul 27, 2026<\/li>\n<li>Time: 1:30pm \u2013 2:50pm<\/li>\n<li>Location: Savery 117 (Big Lab)<\/li>\n<li>Register\u00a0<a href=\"https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSesAZi9PRPNeAgM2iOKw7gK8XKEa3bUHjFthyOS-FF99KmNCw\/viewform?usp=pp_url\">here<\/a>.<\/li>\n<\/ul>\n<p>*****************************<br \/>\n*****************************<\/p>\n<p><strong>Introduction to Agentic Coding with Codex<\/strong><\/p>\n<p>Description: Codex is OpenAI&#8217;s coding agent, a software that has access to your project&#8217;s files and can generate code, reorganize your directories, and make slides and reports. This workshop introduces a workflow with the codex app. Note: although Codex is currently available to those with a free ChatGPT subscription, it is likely that on the date of the workshop it will require a $20\/month level plan. This workshop is great for you if you have already accessed or plan to access a &#8220;Plus&#8221; level subscription. <\/p>\n<ul>\n<li>Instructor: Tynan Challenor, CSSCR Consultant<\/li>\n<li>Date:\u00a0Thursday, July 28, 2026<\/li>\n<li>Time: 10:00am \u2013 11:20am<\/li>\n<li>Location: Savery 121 (Small Lab)<\/li>\n<li>Register\u00a0<a href=\"https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSesAZi9PRPNeAgM2iOKw7gK8XKEa3bUHjFthyOS-FF99KmNCw\/viewform?usp=pp_url\">here<\/a>.<\/li>\n<\/ul>\n<p>*****************************<br \/>\n*****************************<\/p>\n<p><strong>Atlas.ti for Qualitative Thematic Analysis<\/strong><\/p>\n<p>Description:  This workshop provides a practical introduction to working in ATLAS.ti, by marrying the fundamentals of the qualitative methodology with the functionality of this program. This will include conceptualizing and creating quotations, codes, memos, and comments followed by establishing thematic relationships through systematic analysis. The hands-on course assumes no familiarity with Atlas.ti, however, requires CSDE Terminal Server student access (sign up <a href='https:\/\/csde.washington.edu\/computing\/resources\/'>here<\/a> with UWNetID). <\/p>\n<ul>\n<li>Instructor: Baishakhi Basu, CSSCR Consultant<\/li>\n<li>Date:\u00a0 Friday, Jul 31, 2026<\/li>\n<li>Time: 3:00pm \u2013 4:20pm<\/li>\n<li>Location: Savery 121 (Small Lab)<\/li>\n<li>Register\u00a0<a href=\"https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSesAZi9PRPNeAgM2iOKw7gK8XKEa3bUHjFthyOS-FF99KmNCw\/viewform?usp=pp_url\">here<\/a>.<\/li>\n<\/ul>\n<p>*****************************<br \/>\nIf you have questions or problems registering please send a note to CSSCR@uw.edu.<br \/>\n*****************************<\/p>\n<p>CSSCR workshops are open to members of the UW community without regard to race, national origin, sex, identity or any other protected class status.<\/p>\n<p>****************************<br \/>\n****************************<\/p>\n","protected":false},"excerpt":{"rendered":"<p>***************************************************************************** ***************************************************************************** ***************************************************************************** CSSCR Workshop Offerings Summer Quarter 2026 ***Workshops are listed in the order of the dates they will be delivered*** **************************************************************************** Introduction to R Description: This workshop aims to introduce basic tools and functions of R for reading, management and examining datasets. Attendees are assumed to have little to no experience with R&#8230;<\/p>\n<div><a class=\"more\" href=\"https:\/\/depts.washington.edu\/csscr\/courses\/\">Read more<\/a><\/div>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/depts.washington.edu\/csscr\/wp-json\/wp\/v2\/pages\/131"}],"collection":[{"href":"https:\/\/depts.washington.edu\/csscr\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/depts.washington.edu\/csscr\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/csscr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/csscr\/wp-json\/wp\/v2\/comments?post=131"}],"version-history":[{"count":71,"href":"https:\/\/depts.washington.edu\/csscr\/wp-json\/wp\/v2\/pages\/131\/revisions"}],"predecessor-version":[{"id":1522,"href":"https:\/\/depts.washington.edu\/csscr\/wp-json\/wp\/v2\/pages\/131\/revisions\/1522"}],"wp:attachment":[{"href":"https:\/\/depts.washington.edu\/csscr\/wp-json\/wp\/v2\/media?parent=131"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}