Intro to SciNet, Niagara, and Mist
661 University Ave., Toronto, M5G 1M1, CanadaA quick introduction how to use SciNet and the Niagara and Mist supercomputers. Location: SciNet Teaching Room MaRS 1140 -- Powered by icalfilter.com --
A quick introduction how to use SciNet and the Niagara and Mist supercomputers. Location: SciNet Teaching Room MaRS 1140 -- Powered by icalfilter.com --
This workshop provides an introduction to using SPSS to perform common data management and basic statistical analysis tasks. Participants will learn to import spreadsheets, manage and edit data, create charts […]
Project Jupyter is a non-profit, open-source project that supports interactive data science and scientific computing across programming languages. This session will provide a basic overview of Jupyter, the use of […]
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 […]
Join us and bring your best ideas! • What would your ideal research environment be (on your campus, in your department) and how do we build it? • If you […]
Having trouble with finding the time and motivation to write? Shut Up and Write is a chance for academic writers within the UofT community to write productively in a communal […]
This session will occur online and is facilitated by the University of Toronto Scarborough Campus Makerspace. Facilitators: Adriana Sgro, Library Technician Reference & Makerspace Assistant | User Services, University of […]
The Undergraduate Research Forum 2021 will be held virtually on April 6th, 2021. Please join us at this information sessions if you have questions or need more information. Zoom Registration […]
This 90-minute session covers a wide range of issues pertaining to using images (charts, maps, photographs, statistics) beyond teaching and study. The session will introduce required image and file specifications, […]
A network is a way of specifying relationships among a collection of entities. Networks come up in a variety of situations; for example, they can describe relationships between characters in […]