This 2-part workshop is meant for graduate students working on their master’s or doctoral dissertations. The 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 an author and copyright considerations Reusing someone else’s materials in your thesis Turning your […]
This 60-minute session will provide a more in-depth look at publishing in the STEM disciplines. You have spent years designing, conducting, analysing and writing about your research. The manuscript submission phase also requires careful planning and consideration. Please note this sesion focuses on journal article publishing. The session will provide a primer on: Factors to […]
The Toronto Data Workshop (TDW) is a weekly hour-long discussion where academia and industry come together to share best practices for the initial data-centric steps in any applied statistics project. Join us at the next TDW with Aimee Schwab-McCoy, Creighton University, Ashley Juavinett, UC San Diego, Chris Papalia, St. Andrew’s College and Samantha-Jo Caetano, University of Toronto. […]
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This six- or seven-week class will introduce neural network programming concepts, theory and techniques. The class material will begin at an introductory level, intended for those with no experience with neural networks, eventually covering intermediate-to-advanced concepts. The programming language will be Python 3.7; experience with Python programming will be assumed. The Keras neural network framework […]
This session will explore lessons learned from humanities and interpretive social scientists who have recently published their first monograph. The researchers will share their lived experiences, insights, advice and tips on how they overcame some of their challenges. While this event is focused on the experiences of humanities and interpretive social science scholars, anyone in […]
This six- or seven-week class will introduce neural network programming concepts, theory and techniques. The class material will begin at an introductory level, intended for those with no experience with neural networks, eventually covering intermediate-to-advanced concepts. The programming language will be Python 3.7; experience with Python programming will be assumed. The Keras neural network framework […]
Join community-engaged practitioners in conversation about adapting participatory work to online and remote contexts. About this Event Learn how community-engaged practitioners working across the fields of participatory research, participatory visual methods, community arts, and community facilitation have adapted their participatory work and facilitation to online and remote contexts, and the unique ethical and pedagogical opportunities […]
This workshop 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 learn how to use the Digital Scholar Lab and get an overview of text […]
This six- or seven-week class will introduce neural network programming concepts, theory and techniques. The class material will begin at an introductory level, intended for those with no experience with neural networks, eventually covering intermediate-to-advanced concepts. The programming language will be Python 3.7; experience with Python programming will be assumed. The Keras neural network framework […]
