blank
Select a level:
Select a term:
Only show courses available to first-year students.
blank

Course Listing for MATHEMATICS - Spring 2027 (ALL: 01/25/2027 - 05/14/2027)
Class
No.		 Course ID Title Credits Type Instructor(s) Days:Times Location Permission
Required		 Dist Qtr
2973 MATH-115-01 Math on our Campus 1.00 LEC Walker, Preston MWF: 10:00AM-10:50AM 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
  In this general education math course designed for non-STEM majors, we will cover a broad range of topics in mathematics, including but not limited to multivariable functions, linear regression, and graph theory. There will be a strong emphasis on projects in which students use the mathematics they learn to improve campus life. An example of these would be using graph theory to analyze fire extinguisher placements in campus buildings or accessible routes on campus.
2147 MATH-117-01 Introduction to Statistics 1.00 LEC Sandoval, Mary 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 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.
2148 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 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.
2149 MATH-117-03 Introduction to Statistics 1.00 LEC Kuenzel, Kirsti 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 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.
3073 MATH-117-04 Introduction to Statistics 1.00 LEC Wu, Haochen 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 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.
2820 MATH-123-01 Mathematical Gems 1.00 LEC Weiss, Ariel 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.
  An introduction to mathematical topics from number theory, geometry, game theory, infinity, chaos, and more. Not open to students who have received credit for Mathematics 131.
1629 MATH-127-01 Precalculus 1.00 LEC Walker, Preston 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. The purpose of this course is to provide a one semester review of those topics listed above to prepare students to succeed in Calculus. It is not intended as a substitute for a year-long high school precalculus course.
1630 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.
1639 MATH-131-02 Calculus I 1.25 LEC Shen, Yue 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.
2821 MATH-131-20 Calculus I Workshop 0.25 LAB Watson, Lori T: 10:50AM-12:05PM TBA NUM  
  Enrollment limited to 25 Waitlist available: Y Mode of Instruction: In Person  
  Corequisite: Must be enrolled in Mathematics 131 concurrently.
  The Calculus I Workshop is a challenging, interactive group learning environment for interested students. Each workshop is typically based on a detailed set of worksheets which students work through in an interactive setting. Students are encouraged to “talk mathematics”, thinking aloud and working with other students. Workshop problems are based on the material covered in lecture, but they are designed to stretch each student’s abilities to the fullest extent. The students spend most of the workshop time collaborating in groups, grappling with difficult ideas and problems.
3016 MATH-131-21 Calculus I Workshop 0.25 LAB Watson, Lori R: 10:50AM-12:05PM TBA NUM  
  Enrollment limited to 25 Waitlist available: N Mode of Instruction: In Person  
  Corequisite: Must be enrolled in Mathematics 131 concurrently.
  The Calculus I Workshop is a challenging, interactive group learning environment for interested students. Each workshop is typically based on a detailed set of worksheets which students work through in an interactive setting. Students are encouraged to “talk mathematics”, thinking aloud and working with other students. Workshop problems are based on the material covered in lecture, but they are designed to stretch each student’s abilities to the fullest extent. The students spend most of the workshop time collaborating in groups, grappling with difficult ideas and problems.
1278 MATH-132-01 Calculus II 1.25 LEC Pellico, Ryan 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.
1279 MATH-132-02 Calculus II 1.25 LEC Kuenzel, Kirsti 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.
1280 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.
1267 MATH-205-01 Foundations of Advanced Math 1.00 LEC Bartels, Richard 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 required for all students majoring in either mathematics or applied mathematics. This course is recommended for distribution credit only for non-majors with a strong mathematical background.
2265 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.
1985 MATH-229-01 Applied Linear Algebra 1.00 LEC Kuenzel, Kirsti MWF: 11:00AM-11:50AM TBA NUM  
  Enrollment limited to 19 Waitlist available: Y Mode of Instruction: In Person  
    Cross-listing: DTSC-229-01
  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.
2816 MATH-229-02 Applied Linear Algebra 1.00 LEC Watson, Lori TR: 9:25AM-10:40AM TBA NUM  
  Enrollment limited to 19 Waitlist available: Y Mode of Instruction: In Person  
    Cross-listing: DTSC-229-02
  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.
1654 MATH-231-01 Calculus III 1.25 LEC Wu, Haochen 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.
1986 MATH-234-01 Differential Equations 1.00 LEC Shen, Yue MWF: 12:00PM-12:50PM TBA NUM  
  Enrollment limited to 30 Waitlist available: Y Mode of Instruction: In Person  
    Cross-listing: DTSC-234-01
  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.
2822 MATH-253-01 Number Theory 1.00 LEC Weiss, Ariel 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.
  An introduction to the standard topics in number theory. Topics will include congruences, representation of integers, number theoretic functions, primitive roots, continued fractions and Pythagorean triples. Applications may include cryptology, primality testing, and pseudorandom numbers.
1255 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.
2515 MATH-312-01 Statistical Learning 1.00 LEC Green, Dylan MWF: 10:00AM-10:50AM TBA NUM  
  Enrollment limited to 24 Waitlist available: Y Mode of Instruction: In Person  
    Cross-listing: DTSC-312-01
  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.
2823 MATH-326-01 Graph Theory with Applications 1.00 LEC Johnston, Daniel MWF: 11:00AM-11:50AM TBA Y NUM  
  Enrollment limited to 19 Waitlist available: Y Mode of Instruction: In Person  
  Prerequisite: C- or better in Mathematics 228 or Mathematics 229 and Math 205 or permission of instructor.
  Introduction to the theory of graphs, with applications to real world problems. Topics may include, but are not necessarily restricted to: connectivity, paths and cycles, trees as information structures, digraphs and depth-first search, stability and packing problems, matching theory and schedules, transportation networks, Max-Flow-Min-Cut Theorem, planar graphs, color ability, and the four color problem. Admission to this course is usually contingent upon a student’s having credit for Mathematics 228. Offered in alternate years.
1641 MATH-331-01 Analysis I Intro Real Analysis 1.00 LEC Bruce, Benjamin MWF: 12:00PM-12:50PM TBA WEB  
  Enrollment limited to 19 Waitlist available: Y Mode of Instruction: In Person  
  Prerequisite: C- or better in Mathematics 228 or Mathematics 229 and Math 205 or permission of instructor.
  Properties of the real number system, elementary topology, limits, continuity, uniform convergence and differentiation of real-valued functions.
2824 MATH-334-01 Partial Differential Equations 1.00 LEC Ma, Lina MWF: 11:00AM-11:50AM TBA NUM  
  Enrollment limited to 24 Waitlist available: Y Mode of Instruction: In Person  
    Cross-listing: DTSC-334-01
  Prerequisite: C- or better in Mathematics 231 and 234, or permission of instructor.
  An introduction to partial differential equations and their applications. Topics will include physical laws, Fourier series, heat equations, wave equations, and other classical models. Students will learn to approach problems using both analytical and qualitative methods. The purpose of the course is to gain an understanding of how to construct mathematical models using real-life applications and to acquire the skills necessary to solve these problems appropriately.
1135 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.
2825 MATH-409-01 Mathematical Optimization 1.00 SEM Ma, Lina MW: 1:30PM-2:45PM TBA Y NUM  
  Enrollment limited to 19 Waitlist available: Y Mode of Instruction: In Person  
  Prerequisite: C- or better in Mathematics 228 or 229, at least one 300 level Mathematics course, Senior status.
  This course will cover topics on optimization and study corresponding algorithms. Methods such as Newton's, conjugate gradient and quasi-Newton will be included, and application to various optimization problems will be discussed. The course will extend to optimization for machine learning and carry out some simple exercises. Students are expected to understand the mathematical theorem for optimization and learn to apply the method using existing packages or creating their own codes.
1136 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.