All research builds on what others have previously done, but how do you make sure you can cite your references to past scholarship and avoid the appearance of plagiarism?
Through Universal Design for Learning, participants will learn how to create learning environments that are accessible for all students.
R is a free, open source statistical analysis software package that is commonly used in research environments for data analysis and visualization.
Graduate students and postdocs attending this teaching workshop will learn how to use technology to engage students and enhance learning in the classroom.
In this intermediate-level workshop attendees will use sample data to learn how to perform data cleaning using two R packages: dplyr and tidyr.
Find out how to save, store, and organize the references you find when doing your research.
This one-day workshop on October 26 consists of two individual sessions. Each session satisfies one hour of the in-person RCR compliance training requirement for trainees funded by applicable NSF or NIH awards.
Learn how to create informative data visualizations using the "grammar of graphics" and ggplot2 in R Studio!
This one-day workshop on October 27 consists of two individual sessions. Each session satisfies one hour of the in-person RCR compliance training requirement for trainees funded by applicable NSF or NIH awards.
All research builds on what others have previously done, but how do you make sure you can cite your references to past scholarship and avoid the appearance of plagiarism?