Software Carpentry Workshop
January 15-16, 2020
8:30 am - 4:30 pm, both days
Location: LEEP2 G415, Engineering complex, Lawrence campus
Software Carpentry teaches fundamental skills that can increase your productivity and improve the quality and reproducibility of your research projects. In this two-day hands-on workshop, you will learn how to automate tasks using the Unix shell, how to track and share your work using version control, and how to write software in R that is readable, reusable, and reliable. This workshop is for you especially if you have no prior experience with these topics.
- The Unix Shell
- Version Control with Git
- R for Reproducible Scientific Analysis
More details about the topics covered and a detailed schedule can be found on the workshop's GitHub page.
Registration is open!
There is no fee or deposit to register for this workshop. However, Software Carpentry always has a wait list, so be courteous to your colleagues. If you register and find that you are unable to attend, please cancel your registration through your Eventbrite confirmation.
Who should attend?
This workshop is aimed at faculty, staff, and students across disciplines who want to learn how to automate repetitive tasks, approach coding in a systematic way, and document the evolution of their work through version control measures. No prior experience with the workshop topics is expected or required.
Detailed accessibility information for this building, LEEP2 (Learned Engineering Expansion Phase 2), is located in a spreadsheet (XLSX) and map (PDF) provided by Accessible KU. Accessible parking information is located within KU Parking's parking map (PDF).
Why should I attend?
You will learn to use tools and practice skills that can improve your efficiency and the transparency and reliability of your research results. Software Carpentry estimates that these skills can save half a day to one day a week over your career (source: http://software-carpentry.org/workshops/pitch/).
Elizabeth Everman, Ph.D, Post-Doctoral Researcher, University of Kansas
Tami Albin, Associate Librarian, University of Kansas
Sponsored by KU Libraries, KU Research, and KU Information Technology