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 will get an overview of text mining and how to use the Digital Scholar Lab, […]
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 +16477941609 (Toll) Conference ID: 816 964 518# For more information see events list at: https://easi.its.utoronto.ca/connect-learn/
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 as market research reports and trade journals, as well as provides strategies to help you […]
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 a demo of what's in the hopper.
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: mikaela.grayutoronto.ca) **Please register using an UofT email address eg. @utoronto.ca or @mail.utoronto.ca** Date: Friday, October […]
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 […]
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? […]
