Dissertation Defence: Survival and Movements of Mule Deer (Odocoileus hemionus) in Southern British Columbia
University Centre (UNC) 3272 University Way, Kelowna, BC, CanadaChloe Wright will defend their dissertation.
Chloe Wright will defend their dissertation.
Polish up your LinkedIn profile and get tips for virtual networking.
Are you a graduate student who is working on your thesis or dissertation? Do you want to learn how to use copyrighted material in your research, and how to protect your own rights as an author? If so, this workshop is for you!
This session will address the advantages of box plots over bar charts for displaying the spread and variability in data. Participants will learn how box plots can be used to compare multiple samples, the impact of sample size on data representation, and the efficient identification of outliers.
By the end of the session, participants should be able to create and interpret box plots, appreciate their usefulness in comparing multiple samples, understand the implications of sample size, and identify outliers and median confidence intervals through notches in box plots.
Laura Mudde 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.
Ensure your resume and cover letter effectively tell your career story and demonstrate why your experiences matter.
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.
Are you planning to publish your research in an open access journal or book? Do you want to avoid falling prey to predatory publishers who charge exorbitant fees, provide poor quality control, and damage your reputation? If so, this workshop is for you!
This session will introduce participants to the various types of t-tests, including one-sample, two-sample, paired, and one-sided tests. Attendees will learn about the appropriate applications for each type and the visualization techniques that can enhance the interpretation of t-test results.
By the end of the session, participants should be able to apply and visually represent different t-tests, interpret their results, understand the implications of multiple testing corrections, and select the appropriate test for their data.
Ever found it challenging to answer the critical “So what” question in your research? Struggle no more!
If you're interested in community-based and health-related programs, join us for an engaging and informative workshop on program evaluation.
Ramona Sharma will defend their thesis.
Dravida Anjuman Huda 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.
If you're interested in community-based and health-related programs, join us for an engaging and informative workshop on program evaluation.
Reflect on your experiences and stories in an organized way to clarify your strengths, desires, interests, personal qualities, and influences.
Sayan Sadhukhan will defend their thesis.
This workshop will introduce Generalized Additive Models (GAMs), which allow one to fit models that are complex and nonlinear but easily interpretable, unlike many “black-box” machine learning models.
By the end of this session, participants will be able to fit GAMs in R using the mgcv package and understand the advantages of GAMs over GLMs and LMs.
Alex Halonen will defend their thesis.
This session will introduce participants to non-parametric tests, which are useful when data distributions do not meet the assumptions of parametric tests. Attendees will learn to compare the adaptability of these tests with different data distributions and to visualize their operation.
By the end of the session, participants should be able to choose and apply the appropriate non-parametric tests for their data, visualize the operation of these tests, and understand the challenges of multiple testing with non-parametric methods.
Miracle Adebayo will defend their thesis.
Unlock the secrets of crafting impactful literature reviews in this interactive online workshop for graduate students. Discover how to synthesize existing research succinctly while maintaining your own critical perspective and voice.
Aaron Stroda will defend their thesis.
Leah D'Aloisio will defend their thesis.