All Freshmen & Transfer students in Mathematics are invited to attend our annual Mathematics Fall Meet & Greet! Those who attend can expect pizza, refreshments, math games/puzzles, and chances to meet full-time faculty and members of the Math Team. 

Date: September 25, 2024

Time: 3:00 - 5:00 p.m.

Location: Robinson Circle

Questions? Please contact Gina Magliocco at maglioccog@rowan.edu

The Department of Mathematics will host the NJ Big Data Alliance for a half-day conference called "Winning Strategies: Mastering Hackathons and Data Science Competitions." The session, which will be led by a variety of data science leaders, will talk about what it takes to compete and succeed in data hackathons, how to select a winning idea and execute it efficiently, how to use popular hackathon tools and design principles, and how to enhance their presentation skills to impress judges. 

Date: October 4, 2024

Time: 9:00 a.m. - 2:00 p.m.

Location: Business Hall, Room 104

Questions? Please contact Dr. Hieu Nguyen at Nguyen@rowan.edu

Speaker: Dante Graves (Rowan Alum currently working as a data scientist)

Topic: Bayesian inference: what is the posterior, and why does it matter?

Date: Wednesday, October 9, 2024

Time: 9:00 a.m. - 2:00 p.m.

Location: James Hall 1115 and Zoom

Questions? Please contact Dr. Thanh Nguyen at Nguyent@rowan.edu

Abstract: Bayesian Inference is a topic that continues to gain popularity in machine learning. Undoubtedly, a large part of its appeal is due to its strong foundations in probability, which make it a powerful framework for addressing a wide range of applications.

In this talk we'll consider one of the key elements of Bayesian Inference that makes it such a useful paradigm - the posterior distribution. In particular we will emphasize how our understanding of the posterior as a random variable presents opportunities in data science that go beyond producing simple point estimates or confidence intervals. After providing the necessary background and theory behind this methodology, we'll walk through a number of real world examples that illustrate the advantages it affords.

The primary goal of this talk is to provide a fun and informative talk on an accessible topic that connects the dots between mathematical theory and practice. Additionally, students interested in careers outside of academia will get a glimpse into what a career in industry might look like for a math major.