EES1137: Lecture 16

REDCap Resources

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 […]

GGPLOT2: A Gentle Introduction using R in RStudio

GGPLOT2 is a popular R package that is used to make publishing quality graphs. This workshop gently introduces users to ggplot2 functions in RStudio to make beautiful graphs. No math or statistics theory required or covered! Data cleaning and data preparation in R is not covered in this workshop.

True Blue Impact Day – Mar. 7, 2024

All are welcome to attend True Blue Impact Day, part of U of T Entrepreneurship Week. Connect with innovative startups, cheer on U of T entrepreneurs as they pitch their ventures for cash prizes and dive into the entrepreneurial journey of Allen Lau (BASc 1991, MASc 1992) and Eva Lau (BASc 1992), the alumni founders […]

True Blue Impact Day – Mar. 7, 2024

All are welcome to attend True Blue Impact Day, part of U of T Entrepreneurship Week. Connect with innovative startups, cheer on U of T entrepreneurs as they pitch their ventures for cash prizes and dive into the entrepreneurial journey of Allen Lau (BASc 1991, MASc 1992) and Eva Lau (BASc 1992), the alumni founders […]

E-Learning Event – ‘Nothing About Us Without Us’: Young People and the Youth & Innovation Project – Mar. 7, 2024

Community-Based Research Canada presents “Young People in Community-Based Research”: the winter 2024 e-learning series. This series will highlight community-based research projects, models, and processes that exemplify participatory engagement of young people in research. An important hallmark of community-based research is that the research is participatory, meaning it involves authentic and meaningful participation of stakeholders in […]

Introduction to OERs in RDM – Mar. 7, 2024

The Digital Research Alliance of Canada (the Alliance) National Training Expert Group is hosting a webinar series on Canadian Open Educational Resources (OERs) for research data management (RDM). The series will open with a panel discussion introducing the series and the concept of OERs, highlighting four OERs that will be showcased in future sessions, and […]

CBRCanada Community of Practice: “Community-Based Research for Policy Change” – Mar. 8, 2024

Community of practice meetings actively bring together CBRCanada members from across Canada and beyond to engage in meaningful discussions. All involved in community-based research are welcome, whether you are a researcher, peer-researcher, student, project coordinator, administrator, director, or community leader. The purpose of the community of practice is to network with others, learn from each […]

Introduction to Prompt Engineering for Information Literacy

In this workshop participants will participate in discussions and activities in order to more effectively prompt generative AI tools, such as Chat-GPT, to acquire results that more accurately represent their desired outcomes. This workshop is focused on the use of generative AI in a flipped classroom approach. Participants will gain understanding of their research topics […]

Get it Started, Get it Finished, Keep it Going: March 2024

Join us for the next Get it Started, Get it Finished, Keep it Going (https://cris.utoronto.ca/rdfcohorts/get-it-started/). These monthly sessions are geared to addressing the competing priorities faculty face during the semester from research, teaching, to service commitments. In these semi-structured (Two 45-minute timed work sessions), researchers will set goals that are specific, measurable, achievable, realistic, time-bound (SMART) […]

EES1137: Lecture 17

REDCap Resources

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 […]

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