This talk by Dr. Laura Minet, Postdoctoral Fellow, is part of U of T's Southern Ontario Centre for Atmospheric Aerosol Research (SOCAAR) seminar series. Dr. Minet will explore how to minimize population exposure to air pollution by altering emissions and [...]
In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform scientific data [...]
This talk introduces the Gale Digital Scholar Lab, a platform that allows users to discover and create collections of digitized texts from the Gale Historical Collections, run a variety of statistical analyses on them, and visualize the resulting data. Participants [...]
Microsoft Stream is a video service where people in your organization can upload, view, and share videos securely. You can share recordings of classes, meetings, presentations, training sessions, or other videos that aid your team’s collaboration. Join Microsoft Teams Meeting [...]
Whether you are on the edge of a new industry to looking to enter an established sector, you need to quantify and understand the industry players, segments, and size. This workshop introduces you to existing sources of industry information such [...]
The Research & Innovation Dashboards (https://utoronto.sharepoint.com/sites/ResearchInnovationDashboards) enable self-service data analysis for data-informed decision making, and the Functional User Group - our FUG - is at the heart of this dashboards project! Join us at this session for an update on the project and [...]
Part 3: Going Grey and Supplementary Search Techniques Audience: University of Toronto graduate students and faculty engaged in health science research. UTORids will be required to participate. (if you are affiliated with UofT but do not know your UTORid, email: [...]
In this course data analysis techniques utilizing the R statistical language, will be discussed and introduced, as well as, the basics of programming and scientific computing. The goal of this course is to prepare graduate students to perform scientific data [...]
A quick introduction how to use SciNet and the Niagara and Mist supercomputers. Location: SciNet Online -- Powered by icalfilter.com --
Monthly user meeting at SciNet, now virtual, with user discussion and a TechTalk. The topic on 14 Oct 2020 will be "New Jupyterhub at SciNet". Location: SciNet Online -- Powered by icalfilter.com --
This series of six self-paced modules created by librarians at the St. George and Scarborough campuses will introduce students to foundational library skills that will help in many university research assignments. They can be completed in any order. Topics include: [...]