Presentations

Quantile-Based Encoder-Decoder Deep Learning Models for Multi-Step Ahead Hydrological Forecasting, at American Geophysical Union (AGU) Fall Meeting 2022, Online., Monday, December 12, 2022
Presented by:
Jahangir, M.S., You, J., Quilty, J.
 
Citation:
Jahangir, M.S. , You, J. , & Quilty, J.. (2022, December 12-16). Quantile-Based Encoder-Decoder Deep Learning Models for Multi-Step Ahead Hydrological Forecasting [Conference presentation]. American Geophysical Union (AGU) Fall Meeting 2022, Online.
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Quantifying Uncertainty in Hydrological Simulations and Forecasts using Bayesian and Sparse Bayesian Extreme Learning Machine Models, at American Geophysical Union (AGU) Fall Meeting 2022, Online., Monday, December 12, 2022
Presented by:
Jahangir, M.S., Quilty, J., You, J., Hughes, H., Hah, D.
 
Citation:
Jahangir, M.S. , Quilty, J. , You, J. , Hughes, H. , & Hah, D.. (2022, December 12-16). Quantifying Uncertainty in Hydrological Simulations and Forecasts using Bayesian and Sparse Bayesian Extreme Learning Machine Models [Conference presentation]. American Geophysical Union (AGU) Fall Meeting 2022, Online.
Read more about Quantifying Uncertainty in Hydrological Simulations and Forecasts using Bayesian and Sparse Bayesian Extreme Learning Machine Models
Universal Design for Learning in Stats Monday, December 5, 2022:
universal_design_for_learning_in_stats.pptx

At the CMS Winter meeting in Toronto, as part of the session "Inclusive Practices in Large Classes" I spoke about how I employ UDL principles in my statistics classes. A video of the talk can be found here: https://www.youtube.com/watch?v=w0LBpE_SWDE

Abstract:
The last few times I have taught Statistics courses, I've employed several Universal Design for Learning (UDL) principles to make it more equitable, including multiple ways to access course material, demonstrate engagement, and submit assessments. As it turned out, students this term who normally require several...

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Training Graduate Teaching Assistants on Active Learning Sunday, December 4, 2022

At the Canadian Mathematical Society (CMS) Winter Meeting in Toronto, as part of the session "Community Building in Instructor Training" I spoke about research into training graduate TAs on active learning.

Abstract: 

One important and, at times, overlooked component of instructor training is the training of our graduate students in their roles as graduate teaching assistants. Although decades of research into evidence-based active learning activities are regularly shared between and practiced by instructors, this is not always introduced...

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Will It Blend? Experiences with a Flipped Classroom Thursday, October 6, 2022:
will_it_blend_experiences_with_a_flipped_classroom.pdf

Video recording of talk: https://www.youtube.com/watch?v=GlUrfCqvKNk&t=102s 

Abstract:
Like many instructors, during the pandemic I developed lecture videos for the courses I taught. I also discovered many advantages with online teaching, although I missed the classroom interactions. When teaching in-person this Fall, I wanted to keep the best of both worlds and so I fully flipped my course, STAT 334. Lecture material is delivered asynchronously via videos and the reduced in-class time prioritizes active learning and formative assessment.

In this...

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Presentation to the Ontario Association of Mental Health Professionals Oct 2022 conference, at online, Saturday, October 1, 2022:
Neurodiversity_presentation_Josh_McGonegal_slidedeck.pdf
Josh McGonegal, who completed his MSW placement with the Neurodiversity Matters project, led the creation of a research poster and a slideshow presentation about the implications of the study for service providers (co-authored by M. Gibson and b. livingstone). The slides and the poster are attached. A video presentation was shared at the online conference in October 2022.  Read more about Presentation to the Ontario Association of Mental Health Professionals Oct 2022 conference

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