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 Online -- Powered by icalfilter.com --
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: Module 1: Introduction to U of T Libraries - Learn the basics about the libraries […]
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 analysis. Successful students will learn how to use statistical inference tools to gain insight into […]
Are You Ready?... To take that step forward, to advance that great business idea that you have been thinking about, and to obtain support by becoming a member of the Hub? To participate in the Hub’s annual UTSC Startup Competition, and to potentially receive funding to support your proposed concept? Are you holding yourself back? […]
This session will occur online and is facilitated by the University of Toronto Scarborough Library. It is part of the library's Digital Scholarship @UTSC Series. Facilitators: Sarah Forbes, Liaison Librarian, Scholarly communications Librarian, University of Toronto Scarborough Library Events will all be held remotely for the time being. Our event list continues to grow and […]
In this workshop, spread out over three days within one week, will cover parallel profiling, performance analysis, and tuning of applications. Location: SciNet Online -- Powered by icalfilter.com --
This event is part of the UTSC Library series of Maker Monday sessions. This session will occur online and is facilitated by the University of Toronto Scarborough Campus. Facilitators: Adriana Sgro, Library Technician Reference & Makerspace Assistant | User Services, University of Toronto Scarborough Library Please join us for a 1-hour session on Arduino basics. […]
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 analysis. Successful students will learn how to use statistical inference tools to gain insight into […]
This webinar is part of the Fall Qualitative Research & Innovation Webinar Series presented by NVivo and SAGE Publications. Are you interested in mixed methods research but unsure of whether it is a good fit for your more qualitative-focused study ideas? Mixed methods research requires specific knowledge and skills within the rapidly evolving field. This […]
Working on a business idea? The Business Model Canvas is an alternative to a long, wordy business plan used by startups around the world. It's a great way to summarize all the key elements of your product or service in a single page. It’s also a great tool to make sense of exactly what information […]
This presentation will examine the mapping of covid-19 data. Issues discussed will include data quality, access, and cleaning. The focus of the presentation will include mapping at the international, national and local levels. Software used for the presentation will include ArcGIS Pro and QGIS. A link to join the event online will be sent to […]
Facilitators: Chad Crichton, Liaison Librarian, University of Toronto Scarborough Library As the UTSC Library partially reopens for the fall semester, dedicated UTSC Library assistance is available through the online library help desk. Visit us online via Blackboard Collaborate on Tuesday, October 20th to learn more about this service and get live answers to your library […]