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 […]
The Canadian Institute for Health Research (CIHR), along with SPOR partners, is leading a process to refresh Canada’s Strategy for Patient Oriented Research (https://cihr-irsc.gc.ca/e/53699.html). The Division of the Vice-President, Research and Innovation is inviting researchers at the University of Toronto to help shape the future directions of SPOR by participating in a University of Toronto […]
While evidence shows that gender equity is better for health policy-making and patient care, gender inequity remains a problem in health care and academic health settings. In celebration of International Women’s Day, Dr. Larissa Shamseer (MSc, PhD) and Dr. Nicole Doria (MA, PhD), post-doctoral researchers with the Knowledge Translation Program of the Li Ka Shing […]
This session aims to give a foundation or refresher for website content editors on web accessibility fundamentals. Participants will learn about Web Content Accessibility Guidelines (WCAG 2.0) and how they apply to the AODA, what this means for their role at the University and provide a foundation for discussion of web accessibility with different types […]
