Explore the scholarships available through the Department of Mathematics, review the eligibility requirements and apply by the listed deadlines. Your future in mathematics starts with the work you do today.
The application period begins November 1.
Scholarships Available
Student Focused
We have a wide offering of general education courses designed to prepare you to major in Business and STEM (Science, Technology, Engineering, and Mathematics) fields.
Current Faculty Research
Math Happenings
Promotion from Associate Professor to Professor
Suho Oh
Promotion from Assistant Professor to Associate Professor & Tenure
Hamilton Hardison and Cody Patterson
Promotion from Associate Professor of Instruction to Professor of Instruction
Bikai Nie and Amanda Walker
Promotion from Assistant Professor of Instruction to Associate Professor of Instruction
Pritha Chakraborty, Jaroslaw Jaracz and Jackson Rebrovich
Promotion from Lecturer to Assistant Professor of Instruction
Hyun Chul Jang, Yichen Ma, Amy Lawrence-Wallquist, and Le Tran
@TXST Math
Upcoming Events
Math CATS Tutoring
–
until Nov. 5
- Location:
- DERR 238; 238
- Cost:
- Free
- Contact:
- Illona Weber
ih10@txstate.edu - Campus Sponsor:
- Department of Mathematics
Math CATS is here to assist in almost all MATH courses for free! If you're intimidated by the subject, come in and let's problem solve together. Tutors are here to help reiterate, reinforce and help you relate to the content you heard in lecture. NO APPOINTMENT NEEDED!
Click here for more information
more about event
Problem Solvers
–
until Nov. 3
- Location:
- DERR 336; 336
- Cost:
- Free
- Contact:
- Cameron Farnsworth
clf129@txstate.edu - Campus Sponsor:
- Department of Mathematics
Love a good problem? Like to solve difficult puzzles?
Join professors, graduate students and undergraduates as we tackle problems presented from several mathematical journals. An interest in higher level mathematics is all that is required to join our round table. Offer what you know, learn what you don't in a relaxed environment with some of our department's finest!
Join professors, graduate students and undergraduates as we tackle problems presented from several mathematical journals. An interest in higher level mathematics is all that is required to join our round table. Offer what you know, learn what you don't in a relaxed environment with some of our department's finest!
Math CATS Tutoring
–
until Nov. 6
- Location:
- DERR 238; 238
- Cost:
- Free
- Contact:
- Illona Weber
ih10@txstate.edu - Campus Sponsor:
- Department of Mathematics
Math CATS is here to assist in almost all MATH courses for free! If you're intimidated by the subject, come in and let's problem solve together. Tutors are here to help reiterate, reinforce and help you relate to the content you heard in lecture. NO APPOINTMENT NEEDED!
Click here for more information
more about event
- Location:
- Zoom
- Cost:
- Free
- Contact:
- Vera Ioudina
vi11@txstate.edu - Campus Sponsor:
- Department of Mathematics
Assessing hidden states in Basketball Player athletic outcomes and training
Rasim Musal
Texas State University
Abstract: This seminar addresses the challenge of estimating the hidden states of athletes within a
"small n, large p" framework characterized by weak signal to noise ratios. We begin with an
introduction to Hidden Markov Models (HMMs) and the probabilistic foundations underlying filtering
and smoothing calculations. We proceed to evaluate three parameter estimation and state inference
techniques, comparing simulation outcomes across models with known parameters, those estimated
via the Baum-Welch algorithm, and those that fit using a fully Bayesian approach. Finally, we apply this
Bayesian framework to data from the Texas State University women’s basketball team to generate state
predictions and draw parameter inferences regarding player training and athletic performance. Click here for more information
more about event
Rasim Musal
Texas State University
Abstract: This seminar addresses the challenge of estimating the hidden states of athletes within a
"small n, large p" framework characterized by weak signal to noise ratios. We begin with an
introduction to Hidden Markov Models (HMMs) and the probabilistic foundations underlying filtering
and smoothing calculations. We proceed to evaluate three parameter estimation and state inference
techniques, comparing simulation outcomes across models with known parameters, those estimated
via the Baum-Welch algorithm, and those that fit using a fully Bayesian approach. Finally, we apply this
Bayesian framework to data from the Texas State University women’s basketball team to generate state
predictions and draw parameter inferences regarding player training and athletic performance. Click here for more information
Talk Math 2 Me
–
until Nov. 6
- Location:
- DERR 329; 329
- Cost:
- Free
- Contact:
- Ellen Couvillion
ebr21@txstate.edu - Campus Sponsor:
- Department of Mathematics
TalkMath2Me is a seminar for students and by students organized by Pi Mu Epsilon. Talk Math 2 Me provides students, both graduate and undergraduate, an opportunity to present anything related to mathematics to an audience of their peers. The talks can be 15-90 minutes long. Past topics have included talks on impressive student research, famous mathematicians, sports, puzzles and games, and time travel!
Click here for more information
more about event
Cohomology Learning Seminar
–
until Nov. 6
- Location:
- DERR 336; 336
- Cost:
- Free
- Contact:
- Logan Greenland
logan.greenland@txstate.edu - Campus Sponsor:
- Department of Mathematics
This is a learning seminar intended for discussion and questions throughout, and no prior knowledge is assumed!