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

Virtual

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

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 Resources

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 […]

FemSTEM 2024 Kickoff Event & Panel – Jan. 11, 2024

Join the University of Toronto Entrepreneurship (UTE) on Thursday, January 11th as they kickoff the 2024 FemSTEM programming! This year’s Kickoff will feature both a panel, and an interactive discussion and networking session. The panel will feature three incredible entrepreneurs: Firoza Kothari, Dr. Sumaiyah Rehman, and Vishar Yaghoubian.

Innovation Showcase: How to Build Momentum when Change is the Only Constant – Jan. 12, 2024

Join The University of Toronto Entrepreneurship (UTE) for a one-of-a-kind innovation exchange. They’re inviting the next generation of innovators to share their venture ideas and projects with RBC and U of T Senior Leaders, technologists, and domain experts. Attendees will also get the chance to learn from some of Canada’s leading technology and entrepreneurship professionals […]

CBR Canada Community of Practice: “Readiness to do the Work in Communities” – Jan. 12, 2024

Community of practice meetings actively bring together CBRCanada members from across Canada and beyond to engage in meaningful discussions. All involved in community-based research are welcome, whether you are a researcher, peer-researcher, student, project coordinator, administrator, director, or community leader. The purpose of the community of practice is to network with others, learn from each […]

PRiME January Research Rounds – Jan. 12, 2024

Name: Terence Donnelly Centre Address: 160 College St Toronto ON M5S 3E1

Speakers: Dr. Sowmya ViswanathanScientist, Krembil Research Institute (UHN)Associate Professor, Institute of Biomedical Engineering- Dr. Vasily Giannakeas2022-23 PRiME FellowCo-supervised by Profs. Aaron Wheeler and Joanne Kotsopoulos

Get it Started, Get it Finished, Keep it Going: January 2024

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 45-minute timed work sessions), researchers will set goals that are specific, measurable, achievable, realistic, time-bound (SMART) […]

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