Events

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.

Join Women in Math for a spooktacular Halloween celebration. Kick things off with a light pizza dinner, followed by a costume contest, Halloween trivia, a photo booth, and fun mini-games (including the hilarious paper towel mummy wraps!).

An information session for upper-year undergraduate students to learn about graduate programs in Faculty of Math, University of Waterloo

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.

Considering a Masters in Data Science at the University of Waterloo?  Want to know what it takes to get in?  Join this ASK ME ANYTHING Webinar to get live answers to your admission questions!

A free monthly film series offered through the Math Equity Office focusing on films with queer themes, characters, and stories. Open to everyone on campus. December's film is Rent.

Join us for a screening of "Love, Simon" as part of our Queer Film Series.

The University-wide puzzle-solving competition is back for winter 2025, bringing "Alfred Hitchcock vibes”. Attend the kick-off event which will include the early release of two puzzles!

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. 

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.