EES1137: Lecture 9

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 […]

What I Wish I Knew: Publishing your Second Book – Feb. 6, 2024

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 […]

PHY1610 Scientific Computing Lecture

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 […]

Research Ethics in the Health Sciences Info Session – Feb. 06, 2024

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 […]

Clarivate Research Days (day 1)

What is a Research Day? Description: Day-long mini-conference or shorter workshop that covers topics central to both the early-career researcher and more established faculty. Audience: Invite undergraduate and graduate researchers, PhD candidates, junior and senior faculty, and anyone wanting to learn about the research and publication process and tools that fit into their workflow. Presented […]

E-Learning Event – Engaging Youth in Applied Research: Hope for the Future of Youth Housing – Feb. 7, 2024

Community-Based Research Canada presents “Young People in Community-Based Research”: our 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 […]

ORCID Workshop for Researchers – Feb. 7, 2024

Getting and using your free ORCID iD and ORCID record can help you save time and get credit for your work in funding, publishing, and research reporting workflows. Funding organizations, publishers, and research institutions are increasingly requiring or asking for ORCID iDs from researchers, so this workshop will help you make sure you are ahead […]

Clarivate Research Days (day 2)

What is a Research Day? Description: Day-long mini-conference or shorter workshop that covers topics central to both the early-career researcher and more established faculty. Audience: Invite undergraduate and graduate researchers, PhD candidates, junior and senior faculty, and anyone wanting to learn about the research and publication process and tools that fit into their workflow. Presented […]

PHY1610 Scientific Computing Lecture

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 […]

EES1137: Lecture 10

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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