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 packages, and aspects of high performance computing. While we will introduce the C++ language, in […]
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 other than English. Please join the Jackman Humanities Institute and guest speakers Shawna-KayeTucker (Assistant Professor, Applied […]
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 instructional use in this interactive workshop. OER reduces the financial barrier to access materials 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 packages, and aspects of high performance computing. While we will introduce the C++ language, in […]
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. Successful students will learn how to use statistical inference tools to gain insight into large […]
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 including the dplyr package for data manipulation, if statements, for loops and functions. It is […]
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 the ramifications of formatting decisions. This event is hosted by the Accessibility For Ontarians With […]
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. Successful students will learn how to use statistical inference tools to gain insight into large […]
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 packages, and aspects of high performance computing. While we will introduce the C++ language, in […]
