Abdul Basit Zia will defend their dissertation.
Tired of solo writing sessions? Craving a supportive environment to fuel your creativity? Look no further than our weekly Writing Community, tailored for the UBCO community.
Emilie Isch will defend their thesis.
Simin Jafaripour will defend their thesis.
Milad Goodarzi will defend their dissertation
Iman Jalilvand will defend their dissertation.
Niloofar Akbariansaravi will defend their dissertation.
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.
Sarah Alexis will defend their thesis.
Ali Mirzabayati will defend their thesis.
Tired of solo writing sessions? Craving a supportive environment to fuel your creativity? Look no further than our weekly Writing Community, tailored for the UBCO community.
Thuppahiralalage Eranga De Saa will defend their thesis.
Helen Hamel will defend their thesis.
Join the College of Graduate Studies’ awards team for a question and answer session about funding.
This two-part workshop will introduce essential concepts for working with spatial data in R, such as point and line data, polygons, raster data, and geographic projections.
This two-part workshop will introduce essential concepts for working with spatial data in R, such as point and line data, polygons, raster data, and geographic projections.
Alejandra Maria Fuentes Nunez will defend their dissertation.
Join SVPRO for a workshop that explores how to intervene and create an inclusive and safer classroom.
A healthy relationship between you and your supervisor is key to your success and wellbeing as a graduate student. Attend this workshop to learn practical approaches to build a productive relationship with your supervisor.
Rui Wang will defend their dissertation.
Join the Office of Research Services for this overview of research ethics and writing the ethics application.
This workshop will introduce linear models (i.e., one-way ANOVAs), their assumptions, and limitations, in a format tailored towards visual and spatial learners.
This session will introduce participants to the foundational concepts of statistical inference, including population distributions and the process of random sampling. Attendees will learn how sampling distributions evolve towards normality as sample sizes increase and will visually explore the Central Limit Theorem.
By the end of the session, participants should be able to visualize and understand population distributions, illustrate random sampling processes, recognize the normalizing effect of larger samples on sampling distributions, and demonstrate the Central Limit Theorem visually.
This workshop will illustrate how to fit linear models in R, diagnose any issues with model assumption violations, and interpret linear model summaries, including model coefficients, degrees of freedom, standard error estimates, t statistics, F statistics, p-values, R2, statistical significance, adjusted R2.
By the end of this session, participants will be able to fit linear models in R and interpret model outputs, including the output of the summary() function in R.
This session will address the visualization of standard deviation (s.d.), standard error of the mean (s.e.m.), and confidence interval (CI) error bars to enhance the understanding of uncertainty in data analysis. The interpretation of error bars for statistical significance will be discussed, along with common misinterpretations to avoid.
By the end of the session, participants should be able to visualize and interpret error bars, understand the implications of their spacing and width, and be cautious of common pitfalls such as misinterpreting non-overlapping error bars as evidence of significance.
3333 University Way
Kelowna, BC Canada V1V 1V7
Tel 250 807 8000
We respectfully acknowledge the Syilx Okanagan Nation and their peoples, in whose traditional, ancestral, unceded territory UBC Okanagan is situated.
