Weekly Writing Community
Online virtual eventTired 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.
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.
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.
This workshop will introduce interaction terms in linear models along with random and fixed effects, including random and fixed intercepts and slopes, in the context of Hierarchical Linear Models (also known as Linear Mixed Models).
By the end of this session, participants should be able to fit (Hierarchical) Linear Models (HLMs) with interaction terms and interpret the output of the summary() function for Hierarchical Linear Models. Additionally, participants will be able to identify the limitations of (H)LMs.
Researchers, meet your Okanagan research support team! Come join us to connect with friendly faces who are always there to support solutions for your scholarly communication and digital or data-intensive research needs.
Join our online workshop for a comprehensive overview of research proposal writing, applicable across various disciplines.
CTGAN is a cutting-edge data augmentation tool that creates realistic synthetic data, which enables us to build larger and more reliable datasets and expand our research potential.
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.
CTGAN is a cutting-edge data augmentation tool that creates realistic synthetic data, which enables us to build larger and more reliable datasets and expand our research potential.
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.
This workshop aims to equip attendees with both theoretical knowledge and practical skills in quantum coding and programming, fostering innovation and exploration in this rapidly evolving area. Perfect for researchers and enthusiasts looking to deepen their understanding of quantum technologies!
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.
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.
This session will introduce you to copyright basics for your OER project and take you through licensing considerations to insure that your work is reusable by others.
Researchers, meet your Okanagan research support team! Come join us to connect with friendly faces who are always there to support solutions for your scholarly communication and digital or data-intensive research needs.
In this one hour online synchronous session, learn about five open opportunities in Canvas, UBC’s Learning Management System.
Join us to unlock the secrets to choosing the right scholarly publisher!
Looking for an easy-to-use alternative to NVivo?
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.
Do you want to practice your English speaking skills? Join our English Conversation Circle!
This workshop aims to equip attendees with both theoretical knowledge and practical skills in quantum coding and programming, fostering innovation and exploration in this rapidly evolving area. Perfect for researchers and enthusiasts looking to deepen their understanding of quantum technologies!
Looking for data for your graduate thesis or postdoctoral project? This workshop will introduce you to both publicly available and restricted access Statistics Canada data, and how to apply to use restricted access data through UBCO Research Data Centre.
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.
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 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.