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Course Listing for MATHEMATICS - Spring 2026 (ALL: 01/20/2026 - 05/08/2026)
Class
No.		 Course ID Title Credits Type Instructor(s) Days:Times Location Permission
Required		 Dist Qtr
2455 MATH-105-01 Graph Theory and Networks 1.00 LEC Kuenzel, Kirsti TR: 2:55PM-4:10PM TBA NUM  
  Enrollment limited to 29 Waitlist available: Y Mode of Instruction: In Person  
  Prerequisite: A satisfactory score on the Mathematics Placement Examination or a C- or better in Quantitative Literacy 101 or QLIT 103. Students who qualify or have credit for Mathematics 131 or 207 are not eligible to enroll in this course.
  Graph theory, which can be considered the study of connectedness within discrete structures, has numerous applications ranging from the sciences to the humanities, from monitoring electrical grids to understanding social networks. This course will focus on graphs and their substructures, and student learning will be hands-on and example driven. Topics will include spanning trees, coverings, coloring games, and their applications.
2244 MATH-117-01 Introduction to Statistics 1.00 LEC Walker, Preston MWF: 9:00AM-9:50AM TBA NUM  
  Enrollment limited to 29 Waitlist available: Y Mode of Instruction: In Person  
  Prerequisite: A suitable score on the Mathematics Placement Exam or completion of QLIT101 or QLIT 103 with a grade of C- or better.
  This course will provide a basic foundation in descriptive and inferential statistics, including constructing models from data. Students will learn to think critically about data, apply discrete and continuous probability models, and utilize statistical inference procedures using computational tools. Topics include descriptive and inferential statistics, including one and two-sample hypothesis testing, and single and multiple regression. The course is open to any student who has already satisfied the College's Quantitative Literacy requirement.
2246 MATH-117-02 Introduction to Statistics 1.00 LEC Green, Dylan MWF: 11:00AM-11:50AM TBA NUM  
  Enrollment limited to 29 Waitlist available: Y Mode of Instruction: In Person  
  Prerequisite: A suitable score on the Mathematics Placement Exam or completion of QLIT101 or QLIT 103 with a grade of C- or better.
  This course will provide a basic foundation in descriptive and inferential statistics, including constructing models from data. Students will learn to think critically about data, apply discrete and continuous probability models, and utilize statistical inference procedures using computational tools. Topics include descriptive and inferential statistics, including one and two-sample hypothesis testing, and single and multiple regression. The course is open to any student who has already satisfied the College's Quantitative Literacy requirement.
2247 MATH-117-03 Introduction to Statistics 1.00 LEC Green, Dylan MWF: 10:00AM-10:50AM TBA NUM  
  Enrollment limited to 29 Waitlist available: Y Mode of Instruction: In Person  
  Prerequisite: A suitable score on the Mathematics Placement Exam or completion of QLIT101 or QLIT 103 with a grade of C- or better.
  This course will provide a basic foundation in descriptive and inferential statistics, including constructing models from data. Students will learn to think critically about data, apply discrete and continuous probability models, and utilize statistical inference procedures using computational tools. Topics include descriptive and inferential statistics, including one and two-sample hypothesis testing, and single and multiple regression. The course is open to any student who has already satisfied the College's Quantitative Literacy requirement.
2881 MATH-117-04 Introduction to Statistics 1.00 LEC Johnston, Daniel MWF: 12:00PM-12:50PM TBA NUM  
  Enrollment limited to 29 Waitlist available: Y Mode of Instruction: In Person  
  Prerequisite: A suitable score on the Mathematics Placement Exam or completion of QLIT101 or QLIT 103 with a grade of C- or better.
  This course will provide a basic foundation in descriptive and inferential statistics, including constructing models from data. Students will learn to think critically about data, apply discrete and continuous probability models, and utilize statistical inference procedures using computational tools. Topics include descriptive and inferential statistics, including one and two-sample hypothesis testing, and single and multiple regression. The course is open to any student who has already satisfied the College's Quantitative Literacy requirement.
1659 MATH-127-01 Functions, Graphs and Modeling 1.00 LEC Gingras, Kaitlyn MWF: 9:00AM-9:50AM TBA NUM  
  Enrollment limited to 25 Waitlist available: Y Mode of Instruction: In Person  
  Prerequisite: A satisfactory score on the Mathematics Placement Examination or a C- or better in Quantitative Literacy 101 or QLIT 103. Students who qualify or have credit for Mathematics 131 or 207 are not eligible to enroll in this course.
  NOTE: 15 seats reserved for first year students.
  This course will focus on the study of functions and graphs and their uses in modeling and applications. Emphasis will be placed on understanding the properties of linear, polynomial, rational piecewise, exponential, logarithmic and trigonometric functions. Students will learn to work with these functions in symbolic, graphical, numerical and verbal form.
1660 MATH-131-01 Calculus I 1.25 LEC Johnston, Daniel MWF: 8:30AM-9:45AM TBA NUM  
  Enrollment limited to 25 Waitlist available: Y Mode of Instruction: In Person  
  Prerequisite: A satisfactory score on the Mathematics Placement Examination, or C- or better in Mathematics 127.
  The real number system, functions and graphs, continuity, derivatives and their applications, antiderivatives, definite integrals, and the fundamental theorem of calculus. Mathematics, natural science, and computer science majors should begin the Mathematics 131, 132 sequence as soon as possible. Not open to students who have received credit by successful performance on College Board AP exams (see Catalogue section “College Board AP Exams”). At the discretion of the Mathematics Department, section enrollments may be balanced.
1672 MATH-131-02 Calculus I 1.25 LEC Shi, Yun MWF: 8:30AM-9:45AM TBA NUM  
  Enrollment limited to 25 Waitlist available: Y Mode of Instruction: In Person  
  Prerequisite: A satisfactory score on the Mathematics Placement Examination, or C- or better in Mathematics 127.
  The real number system, functions and graphs, continuity, derivatives and their applications, antiderivatives, definite integrals, and the fundamental theorem of calculus. Mathematics, natural science, and computer science majors should begin the Mathematics 131, 132 sequence as soon as possible. Not open to students who have received credit by successful performance on College Board AP exams (see Catalogue section “College Board AP Exams”). At the discretion of the Mathematics Department, section enrollments may be balanced.
1305 MATH-132-01 Calculus II 1.25 LEC Bruce, Benjamin MWF: 8:30AM-9:45AM TBA NUM  
  Enrollment limited to 25 Waitlist available: Y Mode of Instruction: In Person  
  Prerequisite: C- or better in Mathematics 131, or an appropriate score on the AP Examination or Trinity's Mathematics Qualifying Examination.
  Topics concerning the Riemann integral and its applications, techniques of integration, first-order ordinary differential equations, and sequences and series. At the discretion of the Mathematics Department, section enrollments may be balanced.
1306 MATH-132-02 Calculus II 1.25 LEC Weiss, Ariel MWF: 8:30AM-9:45AM TBA NUM  
  Enrollment limited to 25 Waitlist available: Y Mode of Instruction: In Person  
  Prerequisite: C- or better in Mathematics 131, or an appropriate score on the AP Examination or Trinity's Mathematics Qualifying Examination.
  Topics concerning the Riemann integral and its applications, techniques of integration, first-order ordinary differential equations, and sequences and series. At the discretion of the Mathematics Department, section enrollments may be balanced.
1307 MATH-132-03 Calculus II 1.25 LEC Bartels, Richard MWF: 12:00PM-12:50PM
T: 10:50AM-12:05PM		 TBA NUM  
  Enrollment limited to 25 Waitlist available: Y Mode of Instruction: In Person  
  Prerequisite: C- or better in Mathematics 131, or an appropriate score on the AP Examination or Trinity's Mathematics Qualifying Examination.
  Topics concerning the Riemann integral and its applications, techniques of integration, first-order ordinary differential equations, and sequences and series. At the discretion of the Mathematics Department, section enrollments may be balanced.
1292 MATH-205-01 Abstraction and Argument 1.00 LEC Shi, Yun MWF: 11:00AM-11:50AM TBA NUM  
  Enrollment limited to 19 Waitlist available: Y Mode of Instruction: In Person  
  This course deals with methods of proof and the nature of mathematical argument and abstraction. With a variety of results from modern and classical mathematics as a backdrop, we will study the roles of definition, example, and counterexample, as well as mathematical argument by induction, deduction, construction, and contradiction. This course is recommended for distribution credit only for non-majors with a strong mathematical background.
2456 MATH-209-01 Stochastic Processes 1.00 LEC Churchill, Victor MWF: 11:00AM-11:50AM TBA NUM  
  Enrollment limited to 19 Waitlist available: Y Mode of Instruction: In Person  
  Prerequisite: C- or better in Mathematics 132.
  An introduction to stochastic processes, including Markov chains, queueing theory, and Monte Carlo simulations. Following the introduction of conditional probability and expectation topics will include discrete Markov chains, Poisson Processes, and continuous Markov chains. Limiting behavior, stationary distributions, hitting times, and exit distributions will emphasized throughout, along with applications and practical considerations for Monte Carlo simulations.
2450 MATH-210-01 Scientific Computing in Matlab 0.50 SEM Pellico, Ryan W: 1:30PM-2:45PM TBA NUM  
  Enrollment limited to 19 Waitlist available: Y Mode of Instruction: In Person  
  Prerequisite: C- or better in Math 132 or equivalent and C- or better or concurrent registration in a 200-level math course.
  This course is a computational workshop designed to introduce the student to Matlab, a powerful scientific computing software package. The workshop will focus on visual learning based on graphical displays of scientific data and simulation results from a variety of mathematical subject areas, such as calculus, differential equations, statistics, linear algebra, and numerical analysis. No prior computer language skills are required as basic programming tools such as loops, conditional operators, and debugging techniques will be developed as needed. The workshop will prepare the student for future courses in applied mathematics as well as courses in other disciplines where scientific computing is essential.
2882 MATH-214-01 Introduction to Combinatorics 1.00 LEC Kuenzel, Kirsti TR: 9:25AM-10:40AM TBA NUM  
  Enrollment limited to 19 Waitlist available: Y Mode of Instruction: In Person  
  Prerequisite: C- or better in Mathematics 132.
  Topics may include, but are not limited to, basic counting methods including generating functions, recurrence relations and the principle of inclusion/exclusion, as well as an introduction to coding theory, graph theory and network optimization.
1673 MATH-228-01 Linear Algebra 1.00 LEC Sandoval, Mary MWF: 10:00AM-10:50AM TBA NUM  
  Enrollment limited to 19 Waitlist available: Y Mode of Instruction: In Person  
  Prerequisite: C- or better in Mathematics 132, 205, 231 or 253, or consent of instructor.
  A proof-based course in linear algebra, covering systems of linear equations, matrices, determinants, finite dimensional vector spaces, linear transformations, eigenvalues, and eigenvectors. Students may not count both Mathematics 228 and Mathematics 229 for credit towards the Math major.
2032 MATH-229-01 Applied Linear Algebra 1.00 LEC Pellico, Ryan MWF: 10:00AM-10:50AM TBA NUM  
  Enrollment limited to 19 Waitlist available: Y Mode of Instruction: In Person  
  Prerequisite: C- or better in Mathematics 132, 205, 231 or 253, or consent of instructor.
  An introduction to linear algebra with an emphasis on practical applications and computation. Topics will be motivated by real-world examples from a variety of disciplines, for instance medical imaging, quantum states, Google’s PageRank, Markov chains, graphs and networks,difference equations, and ordinary and partial differential equations. Topics will include solvability and sensitivity of large systems, iterative methods, matrix norms and condition numbers, orthonormal bases and the Gram-Schmidt process, and spectral properties of linear operators. MATLAB will be used for coding throughout the course, although no previous experience is required. Students may not count both Mathematics 228 and Mathematics 229 for credit towards the Math major.
1692 MATH-231-01 Calculus III 1.25 LEC Sandoval, Mary MWF: 8:30AM-9:45AM TBA NUM  
  Enrollment limited to 25 Waitlist available: Y Mode of Instruction: In Person  
  Prerequisite: C- or better in Mathematics 132.
  Vector-valued functions, partial derivatives, multiple integrals, conic sections, polar coordinates, Green's Theorem, Stokes' Theorem, and Divergence Theorem. At the discretion of the Mathematics Department, section enrollments may be balanced.
2033 MATH-234-01 Differential Equations 1.00 LEC Skardal, Per Sebastian MWF: 12:00PM-12:50PM TBA NUM  
  Enrollment limited to 30 Waitlist available: Y Mode of Instruction: In Person  
  Prerequisite: C- or better in Mathematics 132.
  An introduction to the theory of ordinary differential equation and their applications. Topics will include analytical and qualitative methods for analyzing first-order differential equations, second-order differential equations, and systems of differential equations. Examples of analytical methods for finding solutions to differential equations include separation of variables, variation of parameters, and Laplace transforms. Examples of qualitative methods include equilibria, stability analysis, and bifurcation analysis, as well as phase portraits of both linear and nonlinear equations and systems. At the discretion of the Mathematics Department, section enrollments may be balanced.
1280 MATH-299-01 Independent Study 0.50 - 2.00 IND TBA TBA TBA Y NUM  
  Enrollment limited to 15 Waitlist available: Y Mode of Instruction: In Person  
  Submission of the special registration form, available in the Registrar’s Office, and the approval of the instructor and chairperson are required for enrollment.
2935 MATH-312-01 Statistical Learning 1.00 LEC Churchill, Victor MWF: 10:00AM-10:50AM TBA NUM  
  Enrollment limited to 24 Waitlist available: Y Mode of Instruction: In Person  
  Prerequisite: C- or better in Mathematics 212 and Mathematics 228 or Mathematics 229, or permission of instructor.
  This course provides a comprehensive introduction to foundational and advanced techniques in estimation and modeling from a mathematical standpoint. Key topics include maximum likelihood estimation, Bayesian inference, Markov chain Monte Carlo (MCMC) sampling, linear and regularized regression, as well as nonlinear approaches such as neural networks. Additional topics may cover dimension reduction, dealing with noisy and limited data, data visualization, optimization, and approximation theorems. Through programming-based assignments in MATLAB or Python, students will apply theoretical concepts to real-world problems, gaining hands-on experience in data analysis and model building.
2883 MATH-316-01 Dynamical Systems 1.00 LEC Skardal, Per Sebastian MWF: 11:00AM-11:50AM TBA NUM  
  Enrollment limited to 19 Waitlist available: Y Mode of Instruction: In Person  
  Prerequisite: A grade of C- or better in MATH 234; or Permission of the Instructor
  An introduction to nonlinear dynamics and chaos theory, emphasizing qualitative methods for both continuous and discrete dynamical systems. Topics will include fixed points and periodic solutions, linearization and asymptotic behavior, existence and nonexistence theorems for periodic orbits, and Floquet theory. Special emphasis will be placed on stability and bifurcation analysis for parameterized families. The final part of the course will serve as an introduction to chaos theory. Topics will include routes to chaos, strange attractors, self-similarity and fractal dimensions, Lyapunov exponents, and renormalization. Modeling of real-world systems and their applications will we stressed throughout the course.
1674 MATH-331-01 Analysis I Intro Real Analysis 1.00 LEC Pellico, Ryan MWF: 9:00AM-9:50AM TBA WEB  
  Enrollment limited to 19 Waitlist available: Y Mode of Instruction: In Person  
  Properties of the real number system, elementary topology, limits, continuity, uniform convergence and differentiation of real-valued functions.
1149 MATH-399-01 Independent Study 0.50 - 2.00 IND TBA TBA TBA Y NUM  
  Enrollment limited to 15 Waitlist available: Y Mode of Instruction: In Person  
  Submission of the special registration form, available in the Registrar’s Office, and the approval of the instructor and chairperson are required for enrollment.
2884 MATH-401-01 Lie Theory 1.00 SEM Sandoval, Mary MW: 1:30PM-2:45PM TBA NUM  
  Enrollment limited to 15 Waitlist available: Y Mode of Instruction: In Person  
  Prerequisite: C- or better in Mathematics 331 or concurrent enrollment in Math 331, Senior status.
  This course will study the essential tools necessary for extending analysis to curved spaces via Lie Groups and Lie Algebras. The classical matrix groups and their associated algebras will be presented, introducing these in a concrete way as groups of rotations and then generalizing to more complex spaces Complex numbers and the quaternions will be also be introduced.
1150 MATH-497-01 Senior Thesis 1.00 IND TBA TBA TBA Y NUM  
  Enrollment limited to 15 Waitlist available: Y Mode of Instruction: In Person  
  Required of, but not limited to, honors candidates. Submission of the special registration form and the approval of the instructor and director are required for this course.