Centre for Scholarly Communication

Join our online workshop for a comprehensive overview of research proposal writing, applicable across various disciplines.

This workshop introduces penalized regression methods (ridge, lasso, etc.), their assumptions and limitations, and when they may be appropriate or not.

This session will revisit the vector underpinnings of R, introduce the apply() family of functions for iterating, or looping, over objects, and introduce for loops for those instances when no pre-existing solution exists.

Join the Centre for Scholarly Communication for an online Q&A session to ask questions and learn more about how to properly format your thesis for submission.

Whether you're gearing up for graduate school applications, navigating the academic realm, or preparing for the job market, this online workshop is your key to building a successful CV.

This active, hands-on workshop will develop educators' skills in using Google Docs to hold live, interactive lessons that increase inclusivity.

If you are conducting user studies involving digital tools, interactive systems, or emerging technologies, this workshop will help you design them to be inclusive, accessible, and engaging.

This workshop will introduce regression methods for time-to-event data, such as Cox proportional hazards. We will discuss assumptions and limitations, and how to model simple time-to-event data in R. 

Ever found it challenging to answer the critical “So what” question in your research? Struggle no more!

Whether you're on the path to graduate school, working in academia, or venturing into the academic job market, our online workshop will help you compose a compelling cover letter.

This session will introduce conditionals in R, addressing those times when, for example, if something is true x needs to happen, otherwise y needs to happen. Participants will be introduced to pre-existing if / else constructs, as well as how to construct conditional statements from scratch.

Bring your specific copyright questions for your thesis or dissertation to this online Q&A, hosted by a copyright librarian!

Participants will gain practical experience with data collection, processing, and AI-assisted defect assessment, and learn how sensory measurements can be applied to support engineering decision-making.

This workshop will introduce nonparametric regression methods such as kernel smoothing and spline regression. We discuss their basic assumptions and limitations, with emphasis on model interpretation and applicability.