Intro to Niagara
VirtualIn 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
10 events found.
Web Content Accessibility Crash Course (Day 2) – Dec. 14, 2023
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 […]
Considerations for Cross-Border Funding – Dec. 14, 2023
The Centre for Research & Innovation Support (CRIS) in collaboration with the Innovations and Partnerships Office (IPO) is hosting a 60-minute webinar focused on cross-border considerations in company creation. Full session description coming soon. Moderator: • Jennifer Fraser, Director, Innovations, University of Toronto Featured Presenters: • Cheryl Reicin, Partner/International Chair, Life Sciences, Mintz • Parimal […]
Get it Started, Get it Finished, Keep it Going: December 2023
Join us for a new CRIS monthly series: 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 45-minute timed work sessions), researchers will set goals that are specific, measurable, […]
EES1137: Lecture 1
REDCap ResourcesIn 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 […]
PHY1610 Scientific Computing Lecture
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 […]
Intro to Niagara
VirtualIn 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
Understanding your Responsibility to Preventing Racial Discrimination & Harassment in the Work Environment – Jan. 10, 2024
This session is hosted by the Anti-Racism and Cultural Diversity Office. For more EDI events, please visit: https://people.utoronto.ca/events/edi-calendar/ Learning Objectives: Provide an overview of the race-related Ontario Human Rights Code grounds and definitions of relevant key terms. Explore how racial discrimination and harassment manifest in the work environments. Share strategies and tools to effectively identify […]
PHY1610 Scientific Computing Lecture
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 […]
EES1137: Lecture 2
REDCap ResourcesIn 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 […]
