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  • Learning R: Exploring Data

    R Fundamentals for Data Analysis
    Library Building (LIB) 3287 University Way, Kelowna, BC, Canada

    Join us on an exciting journey into the world of data with our introductory workshops! This session will introduce participants to common tasks of initial data exploration.

    Free

  • Embodying Revolutionary Love: Somatic Healing and Collective Care Workshop

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

    Please note: this workshop is open to self-identified queer and trans students only. What is “revolutionary love,” and how do we practice loving ourselves and others in the midst of terrifying times? Trans, non-binary, and gender diverse individuals are invited to join trauma-healing expert and somatics teacher Kai Cheng Thom for a workshop in embodied practices […]

    Free

  • The World We Long For: Double Book Launch with Vivek Shraya & Kai Cheng Thom

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

    Join two of Canada's most beloved trans authors to celebrate the release of two works of fiction exploring dystopian and utopian worlds that are frightening, fantastical, and not so far away from the world we live in today: Shraya’s The Hystericals and Thom’s The Shapeshifter’s Guide to Gym Class. Content note: Both of these new novels […]

    Free

  • Learning R: Subsetting and Filtering Data

    R Fundamentals for Data Analysis
    Library Building (LIB) 3287 University Way, Kelowna, BC, Canada

    Explore the variety of ways that data can be filtered and subset in R. Working with data frames and vectors, data frames, and lists, participants will learn the nuances of extracting portions of a larger data set for analysis.

    Free

  • Learning R: Iterating Over Data

    R Fundamentals for Data Analysis
    Library Building (LIB) 3287 University Way, Kelowna, BC, Canada

    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.

    Free

  • Learning R: Conditions

    R Fundamentals for Data Analysis
    Library Building (LIB) 3287 University Way, Kelowna, BC, Canada

    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.

    Free
  • Person typing on keyboard.

    Writing the Literature Review

    Thesis preparation sessions
    Online virtual event

    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.

    Free

  • Linear Regression in R (Part 1): Intro to Linear Regression

    Fitting Models to Data Not Data to Models Workshop Series
    Library Building (LIB) 3287 University Way, Kelowna, BC, Canada

    This workshop will demystify ANOVAs by framing them in the context of linear models with multiple predictors (i.e., multiple linear regression). The session will also introduce attendees to Directed Acyclical Graphs (DAGs) and demonstrate how to use them to infer causality in one’s model.

    By the end of this session participants should be able to fit linear models with more than one predictor, check for collinearity between predictors, and interpret linear models using DAGs.

    Free

  • Linear Regression in R (Part 2): Multiple Linear Regression

    Fitting Models to Data Not Data to Models Workshop Series
    Library Building (LIB) 3287 University Way, Kelowna, BC, Canada

    This workshop will demystify ANOVAs by framing them in the context of linear models with multiple predictors (i.e., multiple linear regression). The session will also introduce attendees to Directed Acyclical Graphs (DAGs) and demonstrate how to use them to infer causality in one’s model.

    By the end of this session participants should be able to fit linear models with more than one predictor, check for collinearity between predictors, and interpret linear models using DAGs.

    Free

  • Linear Regression in R (Part 3): Interpreting Results

    Fitting Models to Data Not Data to Models Workshop Series
    Library Building (LIB) 3287 University Way, Kelowna, BC, Canada

    This workshop will demystify ANOVAs by framing them in the context of linear models with multiple predictors (i.e., multiple linear regression). The session will also introduce attendees to Directed Acyclical Graphs (DAGs) and demonstrate how to use them to infer causality in one’s model.

    By the end of this session participants should be able to fit linear models with more than one predictor, check for collinearity between predictors, and interpret linear models using DAGs.

    Free

  • Linear Regression in R (Part 4): Fitting vs. Predicting

    Fitting Models to Data Not Data to Models Workshop Series
    Library Building (LIB) 3287 University Way, Kelowna, BC, Canada

    This workshop will demystify ANOVAs by framing them in the context of linear models with multiple predictors (i.e., multiple linear regression). The session will also introduce attendees to Directed Acyclical Graphs (DAGs) and demonstrate how to use them to infer causality in one’s model.

    By the end of this session participants should be able to fit linear models with more than one predictor, check for collinearity between predictors, and interpret linear models using DAGs.

    Free

  • Q & A Session: Writing the CGRS-M Scholarship Application

    Tri-Agency Award Information Sessions
    Online virtual event

    Are you preparing your CGRS-M application (NSERC, CIHR, SSHRC)?

    This online Q&A session, facilitated by the College of Graduate Studies and the Centre for Scholarly Communication, provides an opportunity to ask questions about writing and submitting the application. There will be no presentation, so please come prepared with questions.

  • Linear Regression in R (Part 5): Interaction Terms and Hierarchical Linear Models

    Fitting Models to Data Not Data to Models Workshop Series
    Library Building (LIB) 3287 University Way, Kelowna, BC, Canada

    This workshop will demystify ANOVAs by framing them in the context of linear models with multiple predictors (i.e., multiple linear regression). The session will also introduce attendees to Directed Acyclical Graphs (DAGs) and demonstrate how to use them to infer causality in one’s model.

    By the end of this session participants should be able to fit linear models with more than one predictor, check for collinearity between predictors, and interpret linear models using DAGs.

    Free