Researchers and faculty doing DH work will inevitably need to display their research findings or create a portfolio of work. Our goal is to equip researchers with the knowledge and digital tools to set up these sites. We will do this through an introductory workshop to teach attendees fundamentals of website creation, including choosing a […]
This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in […]
In this course data analysis techniques utilizing the Python and R languages will be introduced, as well as the basics of programming and scientific computing. The goal of this course is to prepare graduate students for performing scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large […]
The CRIS Connects (https://cris.utoronto.ca/rdfcohorts/crisconnects/) series provides targeted, real-time help from guest experts. These drop-in sessions are designed for you to come and ask our guest experts anything on their topic of expertise. Join other UofT community members and learn together as you get your questions answered. Join us for the next session CRIS Connects: Intellectual […]
Are you ready to learn more about how artificial neural networks and machine learning techniques work? Join the Critical Digital Humanities Initiative (CDHI) to discover how these technologies can transform your teaching and research, opening new dimensions in higher education. In this introductory-level workshop, participants will learn the basics of how text-based and image-based Generative […]
Members of the U of T community, including graduate students, early career researchers (post docs, new faculty), established researchers, staff, librarians, who want to explore the research and publication process and tools that fit into their workflows are invited to attend Research Days at UTSC presented by Marisa Ruccolo (Clarivate Director, Customer Success) in partnership […]
In this course data analysis techniques utilizing the Python and R languages will be introduced, as well as the basics of programming and scientific computing. The goal of this course is to prepare graduate students for performing scientific data analysis. Successful students will learn how to use statistical inference tools to gain insight into large […]
Are you thinking of writing your second book? The second monograph writing endeavour is unique and while you’ve gained skills and insight into the scholarly publishing process from your first book, understanding the distinctions with the second book project will set you up for publishing success. Panelists will address the relationship between promotion to Professor […]
This course is aimed at reducing your struggle in getting started with computational projects, and make you a more efficient computational scientist. Topics include well-established best practices for developing software as it applies to scientific computations, common numerical techniques and packages, and aspects of high performance computing. While we will introduce the C++ language, in […]
The Human Research Ethics Unit is pleased to invite you to this informational session to address all types of research involving human participants in the health sciences. Faculty members, graduate students, and staff are invited to attend. Workshops will include a presentation with opportunities for questions and discussion. Topics will include: • History and principles behind research […]
