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.
Student Focused
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 Oct. 1
- 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 Sept. 29
- 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 Oct. 2
- 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:
- DERR 333; 333
- Cost:
- Free
- Contact:
- Vera Ioudina
vi11@txstate.edu - Campus Sponsor:
- Department of Mathematics
Bayesian Hierarchical Change-Point Model for Pitcher Biomechanics
Rose Graves
Rice University
Abstract: The rise of pitcher injuries in Major league Baseball the past decade has become an
epidemic. The defining questions around pitcher injuries have turned from prevention to
treatment and management. Determining the factors that are impacting pitcher health is
essential in ensuring the longevity of the sport and the well-being of its players. One of the
hypothesized factors behind these concerning trends is pitching while fatigued. Starting
pitchers often throw at high velocities for several innings and fatigue leads to changes in
performance. We implement a novel hierarchical Bayesian change-point model to identify
trends in the changes of a pitcher’s pitch characteristics and biomechanics over the course of
multiple games throughout the season. Each player is unique in the types of pitches they throw,
their biomechanics, and how they fatigue. Our hierarchical framework allows us to capture
these differences between pitchers in terms of locations of when their mechanics change and
the slopes of the trends before and after the change-point during an outing. The model sets a
baseline for players and allows teams to identify abnormal changes. We examine
velocity, horizontal and vertical movement, throwing shoulder abduction and external rotation,
and torque applied to trunk and upper arm. Our model allows us to develop a robust
understanding of physical changes in a player’s mechanics and pitch characteristics throughout
a game. Click here for more information
more about event
Rose Graves
Rice University
Abstract: The rise of pitcher injuries in Major league Baseball the past decade has become an
epidemic. The defining questions around pitcher injuries have turned from prevention to
treatment and management. Determining the factors that are impacting pitcher health is
essential in ensuring the longevity of the sport and the well-being of its players. One of the
hypothesized factors behind these concerning trends is pitching while fatigued. Starting
pitchers often throw at high velocities for several innings and fatigue leads to changes in
performance. We implement a novel hierarchical Bayesian change-point model to identify
trends in the changes of a pitcher’s pitch characteristics and biomechanics over the course of
multiple games throughout the season. Each player is unique in the types of pitches they throw,
their biomechanics, and how they fatigue. Our hierarchical framework allows us to capture
these differences between pitchers in terms of locations of when their mechanics change and
the slopes of the trends before and after the change-point during an outing. The model sets a
baseline for players and allows teams to identify abnormal changes. We examine
velocity, horizontal and vertical movement, throwing shoulder abduction and external rotation,
and torque applied to trunk and upper arm. Our model allows us to develop a robust
understanding of physical changes in a player’s mechanics and pitch characteristics throughout
a game. Click here for more information
Talk Math 2 Me
–
until Oct. 2
- Location:
- DERR 329; 329
- Cost:
- Free
- Contact:
- Ellen Couvillion
ebr21@txstate.edu - Campus Sponsor:
- Department of Mathematics
Mathematics major, Logan Abounader will give a talk titled Prime Graph Complements of A11 and A13 Solvable Groups
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
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
Cohomology Learning Seminar
–
until Oct. 2
- 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!
- Location:
- DERR 338; 338
- Cost:
- Free
- Contact:
- Bea Ellis
bea.ellis@txstate.edu - Campus Sponsor:
- Department of Mathematics
Brendan Kelly (Harvard)
The Mathematics Classroom: A Refuge for Reason.
Abstract: Generative AI poses an epistemic threat to our society. Models trained on millions of pages of written records appear to be experts across more domains than any person could hope to become. From there, it is a short step for students to conclude that expertise is no longer a goal worth the effort, and that working through a problem takes too long when the work can simply be offloaded to a chatbot. This misses the point. Mathematical knowledge is not a set of retrievable answers but a lens for viewing the world that unlocks access to science, engineering, medicine, public policy, and the social sciences.
Active learning is usually billed as a research-backed pedagogy that improves student outcomes. It is much more than that. It is an instantiation of our values: that students learn mathematics by doing mathematics, and that mathematical reasoning is an internal process each student must take up for themselves. Homework used to provide the incentives and environment that encouraged students to practice reasoning, but now it can be completed with help from Claude. Instructors face a new imperative to get students thinking during class.
I will share what the research literature says about the value of active learning, along with methods I use to make my own classes more engaging. Click here for more information
more about event
The Mathematics Classroom: A Refuge for Reason.
Abstract: Generative AI poses an epistemic threat to our society. Models trained on millions of pages of written records appear to be experts across more domains than any person could hope to become. From there, it is a short step for students to conclude that expertise is no longer a goal worth the effort, and that working through a problem takes too long when the work can simply be offloaded to a chatbot. This misses the point. Mathematical knowledge is not a set of retrievable answers but a lens for viewing the world that unlocks access to science, engineering, medicine, public policy, and the social sciences.
Active learning is usually billed as a research-backed pedagogy that improves student outcomes. It is much more than that. It is an instantiation of our values: that students learn mathematics by doing mathematics, and that mathematical reasoning is an internal process each student must take up for themselves. Homework used to provide the incentives and environment that encouraged students to practice reasoning, but now it can be completed with help from Claude. Instructors face a new imperative to get students thinking during class.
I will share what the research literature says about the value of active learning, along with methods I use to make my own classes more engaging. Click here for more information
- Location:
- DERR 329; 329
- Cost:
- Free
- Contact:
- Anton Dochtermann
dochtermann@txstate.edu - Campus Sponsor:
- Department of Mathematics
Title: Using Local Data to Guide a Calculus Program: Six Cases from Harvard
ABSTRACT
The MAA's National Study of College Calculus identified seven characteristics of successful calculus programs. This talk takes up the one that depends on coordination across instructors, administrators, and mathematics education researchers: using local data to guide curricular and structural change.
This work requires consistent and innovative data collection, enough command of the research literature to read that data through, and familiarity with the whole ecosystem of the calculus program. It is not itself research, but it is driven by a researcher’s expertise, which keeps curricular and structural choices aligned with what the field already knows.
I will describe the shape of this work at Harvard through six examples:
more about event
ABSTRACT
The MAA's National Study of College Calculus identified seven characteristics of successful calculus programs. This talk takes up the one that depends on coordination across instructors, administrators, and mathematics education researchers: using local data to guide curricular and structural change.
This work requires consistent and innovative data collection, enough command of the research literature to read that data through, and familiarity with the whole ecosystem of the calculus program. It is not itself research, but it is driven by a researcher’s expertise, which keeps curricular and structural choices aligned with what the field already knows.
I will describe the shape of this work at Harvard through six examples:
- a live grade dashboard that flags students for early intervention
- a qualitative study of how students choose their first math course
- an assessment of our summer bridge program
- an audit of the placement exam, and the strategies we built from it to route students into the right first course
- a study of how instructors develop a sense of narrative in their teaching
- a randomized controlled trial of AI assistance on problem sets
Math CATS Tutoring
–
until Oct. 4
- 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