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.
Designed for Grade 8 students attending school in Canada and belonging to gender identities underrepresented in computer science, the CS Escape workshop consists of a series of four sessions introducing students to computer science concepts. Students can apply between November 18 and December 2, 2024 and selected applicants will have to pay a $25 fee to attend.
Learn more by visiting the CS Escape webpage.
Join us for an engaging applications and AIF Info Session webinar focused on the application process and completing your Admission Information Form (AIF)
Join us for an engaging applications and AIF Info Session webinar focused on the application process and completing your Admission Information Form (AIF)
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!
Join Math Innovation's latest Entrepreneurship and Impact Series featuring an exclusive 'Ask Me Anything' with Ian MacKinnon. Ian is a co-founder of Later.com and founder of a new start-up, Stealth.
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.
Bake Mathematics history! Join us in search for the official Faculty of Math pie recipe. Participants will bake and submit a recipe of their best culinary creation. Judges will select the top baker who will win a unique prize and massive bragging rights.