Events

Tuesday, 16 October 2018 - 10:00am to 12:00pm

Before analysis begins the data should be visually inspected and explored. We discuss variable types, their appropriate graphics for univariate and multivariate data and provide tips on how to create meaningful and transparent graphics. We will explain how to compute simple data summaries and descriptive statistics and how they help guide any future analysis.

Wednesday, 24 October 2018 - 3:00pm to 6:00pm

This workshop will support you in clearly defining assertiveness, communicating with self confidence, and using assertiveness skills to prepare and deliver your message.

Thursday, 25 October 2018 - 9:00am to 4:30pm

Make an impact with your scientific and technical writing skills! This two day, hands-on workshop is aimed at those with scientific and technical backgrounds. From structure and grammar to impact – get on-site expert feedback, a chance to work on a current, future, or past piece of your writing, and get exposure to many samples of writing, from atrocious to outstanding. 

Tuesday, 30 October 2018 - 9:30am to 11:00am

This webinar will provide a detailed overview of the CGS-M award competition, including advice on writing a successful application. Eligibility criteria for major funding agencies will be reviewed, as well as application procedures and tips for putting together a strong application.

Tuesday, 30 October 2018 - 2:00pm to 4:00pm

This session will provide a detailed overview of the CGS-M award competition, including advice on writing a successful application. Eligibility criteria for major funding agencies will be reviewed, as well as application procedures and tips for putting together a strong application. A faculty member will provide an adjudicator’s perspective on the review process.

Monday, 5 November 2018 - 9:00am to 5:00pm

This 2-day workshop provides an experiential, collaborative learning experience to enable participants to integrate the principles of project management, team building, group dynamics and leadership that participants can apply immediately and in their future careers and lives. Participants experience the processes of collaborative planning and management and can see the benefits firsthand.

Thursday, 15 November 2018 - 9:30am to 12:30pm

In this workshop you will learn about the factors that drive and maintain procrastination; about the psychology of avoidance; and a variety of effective, concrete strategies to help you put a major dent in procrastination patterns.

Friday, 16 November 2018 - 9:30am to 10:30am

This session is intended for graduate students who are preparing to submit their thesis.

Friday, 16 November 2018 - 10:45am to 12:00pm

This session will walk students through information on our website to assist doctoral candidates who are ready (or nearly ready) for their Final Doctoral Exams and will include:

Friday, 16 November 2018 - 1:00pm to 2:00pm

This webinar is intended for graduate students who are preparing to submit their thesis.

Friday, 16 November 2018 - 2:15pm to 3:30pm

This webinar will walk students through information on our website to assist doctoral candidates who are ready (or nearly ready) for their Final Doctoral Exams and will include:

Tuesday, 20 November 2018 - 10:00am to 12:00pm

This is a general introduction to the important role statistics play in the planning stage of a research project. We discuss both observational studies and controlled experiments, including the study population, the scientific question, sampling and randomization. We will focus on the experimental design, the effects of confounding, computing sample size and power.

Thursday, 22 November 2018 - 12:30pm to 4:30pm

In this workshop, you will reflect, interpret, and articulate your unique strengths and specify what they mean to you; discuss and share next ideas about how your strengths inform your degree and your future career plans; begin to create an individual graduate school success plan to help you explore your strengths and challenges, and to design goals for your life and work.

Tuesday, 4 December 2018 - 10:00am to 12:00pm

A detailed discussion of how to compare data from two groups or conditions using a t-test and the assumptions involved. We generalize to compare more than two groups by analysis of variance (ANOVA) including two-way ANOVA where the groups are defined by two categorical variables.

Wednesday, 5 December 2018 - 12:30pm to 4:30pm

Lost momentum? Having difficulty managing your research efficiently? Need motivation and strategies to complete your thesis? This interactive workshop will offer information to graduate students on how to efficiently structure the thesis or dissertation process for timely completion, manage the emotional roller coaster, and find support when your motivation ebbs.

Tuesday, 11 December 2018 - 9:00am to 5:00pm

Skills of Communication is a full-day session featuring the tools and tips of better verbal communication. It will test your assumptions and mental models and for many it may be the first time you learn about the Ladder of Inference, the Johari Window and more.  The goal is to make you more aware of the tools available to help you become a better communicator in both your work and personal lives. 

Monday, 21 January 2019 - 9:00am to 5:00pm

This 2-day workshop provides an experiential, collaborative learning experience to enable participants to integrate the principles of project management, team building, group dynamics and leadership that participants can apply immediately and in their future careers and lives. Participants experience the processes of collaborative planning and management and can see the benefits firsthand. 

Thursday, 24 January 2019 - 9:30am to 12:30pm

This workshop will introduce participants to some of the concepts that drive perfectionism so that they may have a better understanding of what is going on as well as provide strategies to manage the challenging parts that arise.

Tuesday, 29 January 2019 - 10:00am to 12:00pm

Model the relationship between two quantitative variables by regression or correlation analysis. We expand the regression model to include additional predictor variables, including other quantitative variables (multiple regression) and categorical variables (ANCOVA) and discuss the importance of checking the model assumptions.

Thursday, 31 January 2019 - 9:00am to 5:00pm

In this one-day workshop, theory is introduced in short bursts and participants spend the majority of time practicing their presentation skills while receiving onsite feedback.

Thursday, 7 February 2019 - 9:30am to 12:00pm

Have you ever wondered about strategies you can use to build strong relationships with your supervisor? Have you thought about ways of avoiding conflicts or managing them? If that is the case, this is the workshop for you! We will be describing important strategies for developing strong working relationships that support progress through your graduate program and for addressing and managing conflict. We will also share some scenarios for small group work that are derived from actual supervisor-student situations. There will be ample time for discussion.

Tuesday, 12 February 2019 - 10:00am to 12:00pm

How to compare two groups when the response is binary or count data. What happens if we have more than two groups or more than one predictor whether numeric or categorical. We talk about logistic, Poisson and negative binomial regression analysis with an introduction to generalized linear models and show how to interpret the model coefficients in each case.

Monday, 25 February 2019 - 9:00am to 5:00pm

Using an interactive, team-based approach, this full-day workshop builds awareness of the current Canadian entrepreneurial landscape and resources available to those looking to start their own business. Using the tools and techniques used in the first part of the workshop, teams create a product or service concept that they will present to the group.

Tuesday, 26 February 2019 - 10:00am to 12:00pm

Methods like Regression and ANOVA model the mean structure of the observed data while making specific assumptions about the variance. Ignoring the lack of independence due to repeated measurements on the same unit or clusters of related units may lead to wrong conclusions. We show how mixed effects models are used in such cases to model the variance structure of the data as well as the mean.