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Saturday, October 26, 2024 10:00 am - 4:00 pm EDT (GMT -04:00)

Computer Museum Open House

Come to the Computer Museum Open House. They will have a variety of retro games set up on their functioning vintage systems for visitors to interact with, alongside other artifacts from their collection.

Wednesday, October 30, 2024 1:00 pm - 2:00 pm EDT (GMT -04:00)

GRADflix Info & Sign-up

The 2025 GRADflix application is now open and the Math Graduate Office is hosting their first ever Faculty-specific GRADflix information and Sign-up event. Join us to learn more about participating in the GRADflix competition as well as tips from a past Math participant.

Tuesday, November 26, 2024 1:00 pm - 2:30 pm EST (GMT -05:00)

Interpreting Student Course Perception Results

A hybrid event for early career or established instructors who have taught or are teaching a course at Waterloo and wondering how to interpret the Student Course Perceptions (SCP) results.

We will cover information about SCP, followed by a panel discussion with speakers from both Engineering and Mathematics, experts from the Centre for Teaching Excellence, teaching champions, and chair of the SCP committee. This joint event between Engineering and Mathematics is a unique opportunity to get to know peers from both faculties and provides an interdisciplinary perspective.

Tuesday, February 4, 2025 10:00 am - 11:00 am EST (GMT -05:00)

NVIDIA Lecture: Tools for safety and security in Large Language Models

Christopher Parisien, Waterloo graduate (BMath '06), a PhD in Computational Linguistics from the University of Toronto and Senior Manager of Applied Research at NVIDIA, will deliver the NVIDIA Lecture. The lecture will introduce NeMo Guardrails' key functionalities, emphasizing responsible AI development. Students interested in AI, Machine Learning, and Foundation Models can gain insights into creating reliable AI solutions. 

Wednesday, February 12, 2025 10:00 am - 11:00 am EST (GMT -05:00)

NVIDIA Lecture: Solving complex, physics-based problems through accelerating computing solutions

Tarini Bhatnagar holds a Master’s in Data Science and Earth & Environmental Science and is a Senior Solutions Architect at NVIDIA, will lead the NVIDIA Lecture. The lecture will focus on NVIDIA Modulus, an open-source framework for developing physics-informed neural networks (PINNs). Students passionate about AI, Machine Learning, and Computational Physics will explore how Modulus solves complex, physics-based problems through AI. The lecture will introduce solving complex, physics-based problems using accelerated computing solutions and AI.