Learning Objectives: Increase understanding of the experiences and impact of racial microaggressions – identify forms of racial microaggressive behavior and comments. Discuss and develop strategies for prevention and resolution of subtle discrimination within the work and learning environments. Increase understanding [...]
This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and [...]
In this course data analysis techniques utilizing the Python and R languages will be introduced, as well as the basics of programming and scientific computing. The goal of this course is to prepare graduate students for performing scientific data analysis. [...]
Are you interested in sharing your data with other researchers? Has a journal or funder asked you to share your data? In this session, participants will learn how to organize and publish research data in U of T Dataverse, the [...]
This workshop is intended to provide a basic overview of Data Management Plans (DMPs), a tool often used to lay a foundation for good research data management practices through the life of a research project and beyond. This workshop [...]