Finding and Using Open Educational Resources

Online virtual event

In this session, we will walk you through some strategies for finding open content to adapt or include within your learning resources, as well as best practices for attribution.

Teach-In: Climate V. Capitalism

University Centre (UNC) 3272 University Way, Kelowna, BC, Canada

Participants will learn about big banks and the ways that capitalism can have destructive effects on the environment, and about current campaigns that they can get involved with to contribute to combating climate change.

Open Education 101

Online virtual event

This session will provide an overview of the open education movement including what it is and why it matters.

Write Advice: You’ve Got Questions? We’ve Got Candy (and answers)

University Centre (UNC) 3272 University Way, Kelowna, BC, Canada

Do you have research papers, lab reports, essays, essay exams or other written assignments that are stressing you out? Stop by and ask us anything about how to succeed in writing these assignments

CANCELLED-Biodiversity Research Seminar: Jennifer Bhatnagar

University Centre (UNC) 3272 University Way, Kelowna, BC, Canada

This in-person event is cancelled. If you would like to attend via zoom, please email tanja.voegel@ubc.ca Fungi and climate change Dr. Jennifer Bhatnagar (she/her/hers), Associate Professor, Dept of Biology, Boston […]

Event Series Nurse On Campus

Nurse On Campus

University Centre (UNC) - Picnic 3272 University Way, Kelowna, BC, Canada

Drop-in and chat with our nurse on campus. No appointment needed to access this free service.

Fitting Models to Data Not Data to Models Workshop Series: (Hierarchical) Generalized Linear Models

Library Building (LIB) 3287 University Way, Kelowna, BC, Canada

This workshop will introduce Generalized Linear Models (GLMs), which allow one to model non-Gaussian (i.e., non-normal) data.

By the end of this session, participants will be familiar with the three parts of GLMs (family of distribution, linear predictor, and link function) and will be able to decide what family of distributions and link function to choose for their data. They will also be able to interpret the output of the summary() function and diagnostic plots for (H)GLMs and recognize the limitations of (H)GLMs.

Free