Talk Math 2 Me
Day: Every Friday
Talk Math 2 Me is a seminar for students by students. Talk Math 2 Me provides students, both graduate and undergraduate, an opportunity to present anything related to mathematics to an audience of their peers. Undergraduate and Graduate math students or any students interested in mathematics are highly encouraged to attend. The talks are each 15‐60 minutes long and possible speaking topics include Undergraduate and Graduate mathematics research, math history, and STEM research with a heavy footing in mathematics. By presenting, students gain great experience communicating mathematics while developing presentation skills in a relaxed environment. By attending the seminar, students will be introduced to new mathematics and see applications of mathematical concepts in different perspectives. Some weeks will even include visits from professors to discuss how students can get involved with research and the math department.
- Jan 19: No Seminar
- Jan 26:
- Sep 22: Megan Fairchild, Texas State University, The History and Importance of the Alexander Horned Sphere
- Sep 29: Ashraf Demian, Texas State University, An Introduction to Fractional Calculus
- Oct 6: Robert McAlmon, Texas State University, How to Divide Polynomials with Multiple Variables & Solve Systems of Polynomial Equations
- Oct 13: Esther Conrad, Texas State University, Graph Theory: Zero Forcing and Power Domination
- Oct 20: The Students in Dr. Snyder’s Topological Data Analysis Class, Heroes of Homology Theory
- Oct 27: Isaiah Silaski, Riemann Surfaces, with a View Towards Hodge Theory Riemann Surfaces, with a View Towards Hodge Theory
- Nov 3: Lyndsea Woodall, The History and Relevance of Math Measurements in Biblical Times, Sean Corrigan, Start Seeing Spheres!
- Nov 17: (Sponsored by Talk Math 2 Me & Women Doing Math): Lili Qiu, The University of Texas-Austin, Motion Tracking and Its Applications
- Dec 1: The Students in Dr. Snyder’s MATH 4336:
Blaike Bradford, Marcus Cisneros, Brandon Garcia, Nathan Jones, Ethan Roberts and Robert Sparkman, Analyzing Data using Computational Topology