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Mathematics Graduate Seminar - Fall 2020

The seminar is scheduled from 12:25 pm - 1:25 pm on Friday afternoon. If you are not a member of the Math Department and would like to attend the seminar please email us at for a link to the virtual meeting. 

DATE            SPEAKER TITLE/Abstract
September 4 Amy Chambers Introduction to Graph C*-Algebras -
September 11 Michael Allen An Introduction to Statistical (Machine) Learning - Machine Learning and Artificial Intelligence are hot, hot topics today. In fact, over 80% of current NSF funding goes toward these two fields. Financial institutions, baseball teams, and game shows are all using AI or neural networks in one way or another. So, what is Artificial Intelligence and Machine Learning? This talk will give an introduction to Machine Learning and AI, discuss their roots in mathematics and statistics, and give some demonstrations of their use.
September 18 Seth Agee The Black-Scholes equation, which earned Scholes and Merton their 1997 Nobel Memorial Prize in Economics, revolutionized the way options were traded, and is still a commonly used equation for options pricing. In this presentation, we examine an alternative way to derive the Black-Scholes equation without solving any partial differential equations, and apply results from real analysis to provide a more elegant solution. This gives a fantastic example of how a purely abstract idea can be applied to the real world.
September 25  Amy Chambers Examples of Graph C*-Algebras - In this talk, we will look at some concrete examples of Graph C*-Algebras. Particularly, we will choose a particular Hilbert space H and view certain Graph C*-Algebras as C*-subalgebras of B(H).
October 2 Menassie Ephrem, Coastal Carolina University  
October 9 Motoya Machida  
October 16    
October 23    
October 30    
November 6 Padmini Veerapen  
November 13 Chudamani Poudyal  
November 20 Alexander Shibakov  

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