Join us for the next Get it Started, Get it Finished, Keep it Going (https://cris.utoronto.ca/rdfcohorts/get-it-started/). These monthly sessions are geared to addressing the competing priorities faculty face during the semester from research, teaching, to service commitments. In these semi-structured (Two [...]
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. [...]
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 [...]
Academic publishing disproportionately privileges English-language and Western journals and presses, leaving little place to contextualize and value scholarly material published outside academia (particularly in terms of publication material of benefit to community collaborators), outside the Western context, or in languages [...]
In about 90 minutes, learn how to use the SciNet systems Niagara and Mist, from securely logging in to running computations on the supercomputer. Experienced users may still pick up some valuable pointers.Format: Virtual
Are you curious about finding teaching materials to support student learning? Or perhaps you are interested in developing teaching materials that all students can access? Celebrate Open Education Week and learn how Open Educational Resources (OER) can be optimized for [...]
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. [...]
Do you want to develop your R skills to advance your data science skills? R is a popular open-source statistical programming language that is popular in academia and industry. This workshop gently introduces users to intermediate level tools in R [...]
This session focuses on accessible content creation practices. Techniques for conceptualizing, creating and maintaining accessible documents will be discussed and how to build these into department wide processes. A heavy emphasis is placed on why those techniques are important, and [...]