As part of the graduation process, you will be submitting an electronic copy of your thesis or dissertation that will become publicly available online upon your convocation. This 2- part workshop is offered jointly by the School of Graduate Studies and Library staff. In Part 2: Copyright and Publishing we will cover:* Your rights as […]
UofT Research Services will be hosting a short SSHRC Insight Grant budget information session as a follow-up to the larger IG session that was held in July 2020. This smaller session will focus more on proposed budgets for IG proposals, including formatting, eligible/ineligible costs, and justifications for budget items required by the SSHRC IG application […]
This open drop-in session is intended for SharePoint site owners and administrators who have questions, want to learn about a particular feature or need some assistance with content in the Virtual Bootcamp. We recommend that all new site owners or administrators begin with the SharePoint Site Admin Virtual Bootcamp and then drop-in for more support […]
Date: Thursday, September 3, 2020 Time: 11:00 – 11:30 am Location: The webinar link will be shared with you via email prior to each session’s start time. Join an online storytime with U of T librarians, who will be reading from their favourite picture books. Recommended for ages 3-8 years (but all are welcome!) Registration […]
Join Connect+Learn for this introduction to Microsoft Shifts. Shifts is a schedule management tool that lets you create, update and manage schedules for your team. With Shifts, you can: Create a new schedule or import an existing schedule from Excel Toggle between different Shifts schedules to manage them if you own multiple teams. Create staff […]
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 --
This open drop-in session is intended for SharePoint site owners and administrators who have questions, want to learn about a particular feature or need some assistance with content in the Virtual Bootcamp. We recommend that all new site owners or administrators begin with the SharePoint Site Admin Virtual Bootcamp and then drop-in for more support […]
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 […]
Researchers are more frequently undertaking mixed methods projects, which allow them to take advantage of the strengths of both qualitative and quantitative data. NVivo will help you organize and analyze the qualitative data, as well as use quantitative data to parse and ask questions of your qualitative data. In NVivo you will be able to […]
Researchers are more frequently undertaking mixed methods projects, which allow them to take advantage of the strengths of both qualitative and quantitative data. NVivo will help you organize and analyze the qualitative data, as well as use quantitative data to parse and ask questions of your qualitative data. In NVivo you will be able to […]
Researchers are more frequently undertaking mixed methods projects, which allow them to take advantage of the strengths of both qualitative and quantitative data. NVivo will help you organize and analyze the qualitative data, as well as use quantitative data to parse and ask questions of your qualitative data. In NVivo you will be able to […]
The Toronto Data Workshop (TDW) is a weekly hour-long discussion where industry and academic participants collectively consider, collate, share, and disseminate best practices in the critical initialdata-centric steps of any data science project. The organising committee - Faria Khandaker, Kelly Lyons, and Rohan Alexander – would like to invite you to the TDW Fall term. […]
