No upcoming events at this time
02/11/2021 @ 06:00 pm, 02/25/2021 @ 06:00 pm, 03/11/2021 @ 06:00 pm, 03/25/2021 @ 05:00 pm, 04/08/2021 @ 06:00 pm, 04/22/2021 @ 06:00 pm EST
The goal of the seminars is to formulate special relativity as a problem in linear algebra so that one may approach the subject on a solid mathematical ground and hopefully demystify the fanciful conclusions that physicists focus on, such as time dilation and space contraction.
10/28/2021 @ 07:30 pm EST
Global warming and associated changes to Earth's climate driven by human activity present one of the greatest challenges of this century. You may have heard about the Paris Agreement targets to limit global warming to 1.5 or 2 degrees. How fast do we need to act to meet these goals, or what might happen if we don't do anything? To answer these questions, we need climate prediction systems, numerical models that allow us to project changes in our climate depending on our future choices, including what we do about fossil fuels, land use, and other forms of pollution. In this lecture and discussion, I will explain how we build and test these climate models, and why we are confident enough in their predictions to inform policy makers, and the public, about the hard decisions we need to make to protect our planet. Note: This event will be both virtual and in-person (Warren Weaver Hall Room 201 at NYU). Only NYU students can attend in person due to COVID restrictions. Students from other schools must attend online.
09/22/2021 @ 07:00 pm EST
Dr. Andrea Jones-Rooy, professor and the Director of Undergraduate Studies at the NYU Center for Data Science, will present at NYU SIAM. Her primary area of research is in social science on internal conflict and censorship, especially in authoritarian countries. Her current research is focused on complex systems. She also works as a research consultant for both Fortune 500 companies and startups. Dr. Jones-Rooy is also a standup comedian and circus performer. She has performed comedy all throughout NYC, including at The Lantern Comedy Club. From 2013-2016, she was a resident performer at Cirque le Soir Shanghai and now tours internationally across Europe, Asia, and the Americas with their World Tour. She also performs regularly at venues around New York City. We look forward to seeing you there!
02/17/2021 @ 06:00 pm, 03/03/2021 @ 06:00 pm, 03/17/2021 @ 06:00 pm, 03/31/2021 @ 06:00 pm, 04/14/2021 @ 06:00 pm, 08/21/2021 @ 00:00 am EST
In this exciting series, Ondrej Maxian's research about the immersed boundary (IB) method -- developed by NYU's own Dr. Charles Peskin -- for solving the problem of structures in a fluid is brought to life for undergraduates looking for a hands-on learning experience in computational biology and fluid mechanics.
09/09/2021 @ 07:30 pm, 09/23/2021 @ 07:30 pm, 10/07/2021 @ 07:30 pm, 10/21/2021 @ 07:30 pm, 11/04/2021 @ 07:30 pm, 11/18/2021 @ 07:30 pm EST
Join us every other Thursday at 7:30 pm ET! Simon Sun is a consultant at Société Générale and will present a series of six seminars on options pricing and trading. A graduate of Courant’s Mathematics in Finance master’s program, he has worked as a quantitative analyst at XLP and OMNI Risks Management. He has a particular interest in options and high frequency trading. The seminars are targeted at undergraduates but anyone with an interest in mathematics or finance is welcome. Each seminar will be followed by a Q&A session with Simon.
11/16/2021 @ 06:00 pm EST
Dr. Naftali Cohen completed his PhD here at the Courant in 2014 and, after a postdoctoral stint at Yale, transitioned to industry. He's now at JP Morgan AI research and teaches AI as an adjunct faculty at Tandon. From his experience, he will talk about students' opportunities after graduating, in academics and industry. He will focus on the exciting possibilities in the world of overwhelming data. Here is a link to the abstract for the event. This even will be about Visual Forecasting of Time Series with Image-to-Image Regression. Time series forecasting is essential for agents to make decisions in many domains. Existing models rely on classical statistical methods to predict future values based on previously observed numerical information. Yet, practitioners often rely on visualizations such as charts and plots to reason about their predictions. Inspired by the end-users, we re-imagine the topic by creating a framework to produce visual forecasts, similar to the way humans intuitively do. In this work, we take a novel approach by leveraging advances in deep learning to extend the field of time series forecasting to a visual setting. We do this by transforming the numerical analysis problem into the computer vision domain. Using visualizations of time series data as input, we train a convolutional autoencoder to produce corresponding visual forecasts. We examine various synthetic and real datasets with diverse degrees of complexity. Our experiments show that visual forecasting is effective for cyclic data but somewhat less for irregular data such as stock price. Importantly, we find the proposed visual forecasting method to outperform numerical baselines. We attribute the success of the visual forecasting approach to the fact that we convert the continuous numerical regression problem into a discrete domain with quantization of the continuous target signal into pixel space. This event will be held online and in-person. In-person will only be open to NYU students due to COVID restrictions.
09/29/2021 @ 07:00 pm EST
What is quantum computing? Why do people consider it one of the biggest technological breakthroughs of our time? Come find out the answers to these questions, and much more, with IBM Quantum for the NYU SIAM hosted “Quantum Computing 101” workshop. Members of the IBM Quantum team will explain the fundamentals of their industry and share opportunities for NYU students. Time will be given for questions and networking following the workshop.