Undergraduate Courses

Course registration information, including classroom locations, can be found on the Student Information Services (SIS) website. To see a complete list of courses offered and their descriptions, visit the online course catalog. Click on the course number for link to course website.

The math department offers additional tools for course selection:

Important: sections with section number .88 are not open for enrollment by AS/EN Homewood undergraduates.

Course # (Section)	Title	Day/Times	Instructor	Location	Term	Additional Details
AS.110.102 (88)	College Algebra		Gaines, Alexa D; Ross, Lauren Elizabeth	Online	Spring 2026	Description: This introductory course will create a foundational understanding of topics in Algebra. An emphasis will be on applications to prepare students for future courses like Precalculus or Statistics. After a review of elementary algebra concepts, topics covered include: equations and inequalities, linear equations, exponents and polynomials, factoring, rational expressions and equations, relations and functions, radicals, linear and quadratic equations, higher-degree polynomials, exponential, logarithmic, and rational functions. Credits: 4.00 Status: Canceled Seats Available: 50/50 Tags: n/a
AS.110.105 (88)	Precalculus		Gaines, Alexa D	Online	Spring 2026	Description: This course provides students with the background necessary for the study of calculus. It begins with a review of the coordinate plane, linear equations, and inequalities, and moves purposefully into the study of functions. Students will explore the nature of graphs and deepen their understanding of polynomial, rational, trigonometric, exponential, and logarithmic functions, and will be introduced to complex numbers, parametric equations, and the difference quotient. Credits: 4.00 Status: Closed Seats Available: 33/50 Tags: n/a
AS.110.106 (01)	Calculus I (Biology and Social Sciences)	MWF 10:00AM - 10:50AM, T 4:30PM - 5:20PM	Hamil, Matthew Harrison	Shaffer 306; Gilman 17	Spring 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, introduction to differential equations, functions of several variables, linear systems, applications for systems of linear differential equations, probability distributions. Many applications to the biological and social sciences will be discussed. Credits: 4.00 Status: Closed Seats Available: 0/30 Tags: ROBO-CMMA
AS.110.106 (02)	Calculus I (Biology and Social Sciences)	MWF 10:00AM - 10:50AM, Th 3:00PM - 3:50PM	Hamil, Matthew Harrison	Shaffer 306; Hodson 211	Spring 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, introduction to differential equations, functions of several variables, linear systems, applications for systems of linear differential equations, probability distributions. Many applications to the biological and social sciences will be discussed. Credits: 4.00 Status: Closed Seats Available: 14/30 Tags: ROBO-CMMA
AS.110.107 (01)	Calculus II (For Biological and Social Science)	MWF 9:00AM - 9:50AM, T 9:00AM - 9:50AM	Wentworth-Nice, Prairie	Krieger 205; Hodson 301	Spring 2026	Description: Differential and integral Calculus. Includes analytic geometry, functions, limits, integrals and derivatives, introduction to differential equations, functions of several variables, linear systems, applications for systems of linear differential equations, probability distributions. Applications to the biological and social sciences will be discussed, and the courses are designed to meet the needs of students in these disciplines. Credits: 4.00 Status: Closed Seats Available: 19/30 Tags: ROBO-CMMA
AS.110.107 (02)	Calculus II (For Biological and Social Science)	MWF 9:00AM - 9:50AM, T 4:30PM - 5:20PM	Wentworth-Nice, Prairie	Krieger 205; Hodson 301	Spring 2026	Description: Differential and integral Calculus. Includes analytic geometry, functions, limits, integrals and derivatives, introduction to differential equations, functions of several variables, linear systems, applications for systems of linear differential equations, probability distributions. Applications to the biological and social sciences will be discussed, and the courses are designed to meet the needs of students in these disciplines. Credits: 4.00 Status: Closed Seats Available: 18/30 Tags: ROBO-CMMA
AS.110.107 (03)	Calculus II (For Biological and Social Science)	MWF 9:00AM - 9:50AM, Th 1:30PM - 2:20PM	Wentworth-Nice, Prairie	Krieger 205; Hodson 305	Spring 2026	Description: Differential and integral Calculus. Includes analytic geometry, functions, limits, integrals and derivatives, introduction to differential equations, functions of several variables, linear systems, applications for systems of linear differential equations, probability distributions. Applications to the biological and social sciences will be discussed, and the courses are designed to meet the needs of students in these disciplines. Credits: 4.00 Status: Closed Seats Available: 6/30 Tags: ROBO-CMMA
AS.110.107 (04)	Calculus II (For Biological and Social Science)	MWF 9:00AM - 9:50AM, Th 3:00PM - 3:50PM	Wentworth-Nice, Prairie	Krieger 205; Bloomberg 168	Spring 2026	Description: Differential and integral Calculus. Includes analytic geometry, functions, limits, integrals and derivatives, introduction to differential equations, functions of several variables, linear systems, applications for systems of linear differential equations, probability distributions. Applications to the biological and social sciences will be discussed, and the courses are designed to meet the needs of students in these disciplines. Credits: 4.00 Status: Closed Seats Available: 27/30 Tags: ROBO-CMMA
AS.110.107 (05)	Calculus II (For Biological and Social Science)	MWF 11:00AM - 11:50AM, Th 1:30PM - 2:20PM	Wentworth-Nice, Prairie	Shaffer 3; Hodson 211	Spring 2026	Description: Differential and integral Calculus. Includes analytic geometry, functions, limits, integrals and derivatives, introduction to differential equations, functions of several variables, linear systems, applications for systems of linear differential equations, probability distributions. Applications to the biological and social sciences will be discussed, and the courses are designed to meet the needs of students in these disciplines. Credits: 4.00 Status: Closed Seats Available: 2/30 Tags: ROBO-CMMA
AS.110.107 (06)	Calculus II (For Biological and Social Science)	MWF 11:00AM - 11:50AM, T 4:30PM - 5:20PM	Wentworth-Nice, Prairie	Shaffer 3; Bloomberg 168	Spring 2026	Description: Differential and integral Calculus. Includes analytic geometry, functions, limits, integrals and derivatives, introduction to differential equations, functions of several variables, linear systems, applications for systems of linear differential equations, probability distributions. Applications to the biological and social sciences will be discussed, and the courses are designed to meet the needs of students in these disciplines. Credits: 4.00 Status: Closed Seats Available: 1/30 Tags: ROBO-CMMA
AS.110.107 (07)	Calculus II (For Biological and Social Science)	MWF 11:00AM - 11:50AM, T 6:00PM - 6:50PM	Wentworth-Nice, Prairie	Shaffer 3; Gilman 17	Spring 2026	Description: Differential and integral Calculus. Includes analytic geometry, functions, limits, integrals and derivatives, introduction to differential equations, functions of several variables, linear systems, applications for systems of linear differential equations, probability distributions. Applications to the biological and social sciences will be discussed, and the courses are designed to meet the needs of students in these disciplines. Credits: 4.00 Status: Closed Seats Available: 1/30 Tags: ROBO-CMMA
AS.110.107 (08)	Calculus II (For Biological and Social Science)	MWF 11:00AM - 11:50AM, Th 3:00PM - 3:50PM	Wentworth-Nice, Prairie	Shaffer 3; Bloomberg 274	Spring 2026	Description: Differential and integral Calculus. Includes analytic geometry, functions, limits, integrals and derivatives, introduction to differential equations, functions of several variables, linear systems, applications for systems of linear differential equations, probability distributions. Applications to the biological and social sciences will be discussed, and the courses are designed to meet the needs of students in these disciplines. Credits: 4.00 Status: Closed Seats Available: 0/30 Tags: ROBO-CMMA
AS.110.108 (88)	Calculus I (For Physical Sciences and Engineering)		Clayton, Amanda M	Online	Spring 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, polar coordinates, parametric equations, Taylor's theorem and applications, infinite sequences and series. Some applications to the physical sciences and engineering will be discussed, and the courses are designed to meet the needs of students in these disciplines. Credits: 4.00 Status: Closed Seats Available: 43/50 Tags: ROBO-CMMA
AS.110.109 (01)	Calculus II (For Physical Sciences and Engineering)	MWF 10:00AM - 10:50AM, T 8:00AM - 8:50AM	Corato Zanarella, Murilo	Krieger 205; Hodson 301	Spring 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, polar coordinates, parametric equations, Taylor's theorem and applications, infinite sequences and series. Some applications to the physical sciences and engineering will be discussed, and the courses are designed to meet the needs of students in these disciplines. Credits: 4.00 Status: Closed Seats Available: 14/30 Tags: ROBO-CMMA
AS.110.109 (02)	Calculus II (For Physical Sciences and Engineering)	MWF 10:00AM - 10:50AM, T 6:00PM - 6:50PM	Corato Zanarella, Murilo	Krieger 205; Hodson 301	Spring 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, polar coordinates, parametric equations, Taylor's theorem and applications, infinite sequences and series. Some applications to the physical sciences and engineering will be discussed, and the courses are designed to meet the needs of students in these disciplines. Credits: 4.00 Status: Closed Seats Available: 4/30 Tags: ROBO-CMMA
AS.110.109 (03)	Calculus II (For Physical Sciences and Engineering)	MWF 10:00AM - 10:50AM, Th 1:30PM - 2:20PM	Corato Zanarella, Murilo	Krieger 205; Hodson 301	Spring 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, polar coordinates, parametric equations, Taylor's theorem and applications, infinite sequences and series. Some applications to the physical sciences and engineering will be discussed, and the courses are designed to meet the needs of students in these disciplines. Credits: 4.00 Status: Closed Seats Available: 2/30 Tags: ROBO-CMMA
AS.110.109 (04)	Calculus II (For Physical Sciences and Engineering)	MWF 3:00PM - 3:50PM, T 3:00PM - 3:50PM	Ahmed, Mikail Yunus	Krieger 205; Hodson 211	Spring 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, polar coordinates, parametric equations, Taylor's theorem and applications, infinite sequences and series. Some applications to the physical sciences and engineering will be discussed, and the courses are designed to meet the needs of students in these disciplines. Credits: 4.00 Status: Closed Seats Available: 22/30 Tags: ROBO-CMMA
AS.110.109 (05)	Calculus II (For Physical Sciences and Engineering)	MWF 3:00PM - 3:50PM, T 7:00PM - 7:50PM	Ahmed, Mikail Yunus	Krieger 205; Hodson 301	Spring 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, polar coordinates, parametric equations, Taylor's theorem and applications, infinite sequences and series. Some applications to the physical sciences and engineering will be discussed, and the courses are designed to meet the needs of students in these disciplines. Credits: 4.00 Status: Closed Seats Available: 25/30 Tags: ROBO-CMMA
AS.110.109 (06)	Calculus II (For Physical Sciences and Engineering)	MWF 3:00PM - 3:50PM, Th 4:30PM - 5:20PM	Ahmed, Mikail Yunus	Krieger 205; Bloomberg 168	Spring 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, polar coordinates, parametric equations, Taylor's theorem and applications, infinite sequences and series. Some applications to the physical sciences and engineering will be discussed, and the courses are designed to meet the needs of students in these disciplines. Credits: 4.00 Status: Closed Seats Available: 25/30 Tags: ROBO-CMMA
AS.110.109 (88)	Calculus II (For Physical Sciences and Engineering)		Cutrone, Joseph W	Online	Spring 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, polar coordinates, parametric equations, Taylor's theorem and applications, infinite sequences and series. Some applications to the physical sciences and engineering will be discussed, and the courses are designed to meet the needs of students in these disciplines. Credits: 4.00 Status: Closed Seats Available: 38/50 Tags: ROBO-CMMA
AS.110.125 (88)	Introduction to Data Analysis		Gaines, Alexa D	Online	Spring 2026	Description: This course introduces students to important concepts in data analytics using a hands-on analysis through case studies. Students will learn how to gather, analyze, and interpret data to drive strategic and operational success. Students will explore how to clean and organize data for analysis and how to perform calculations using spreadsheets, SQL and R programming. Topics include the data lifecycle, probability, statistics, hypothesis testing, set theory, graphing, regression, and data ethics. Credits: 4.00 Status: Canceled Seats Available: 50/50 Tags: n/a
AS.110.131 (01)	Numbers, Not Noise: Data and Democracy	MW 4:00PM - 5:00PM	Iyengar, Ashwin	Online	Spring 2026	Description: Data shape public debate, policy decisions, and democratic outcomes—but numbers are never neutral. In this course, students examine how data are used, framed, and communicated in contemporary political and policy contexts. Through case studies drawn from congressional reports, nonprofit advocacy organizations, and public-facing data products, students analyze how evidence is mobilized to make arguments, influence opinion, and justify action. Students will write a short, original policy-focused report grounded in publicly available data, emphasizing clarity, rigor, and effective communication for non-technical audiences. In additional to 10 synchronous online sessions, the course includes an in-person mini-symposium held the weekend of April 19, 2026 at the Johns Hopkins Bloomberg Center in Washington, DC as a required component. At the mini-symposium, students will present their work, receive feedback, and engage with guest speakers working in policy and advocacy. No advanced technical background is required; creativity, collaboration, and critical thinking are strongly encouraged. Credits: 1.00 Status: Closed Seats Available: 0/12 Tags: n/a
AS.110.201 (01)	Linear Algebra	MWF 9:00AM - 9:50AM, T 1:30PM - 2:20PM	Gepner, David James	Remsen Hall 101; Shaffer 301	Spring 2026	Description: Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations. Credits: 4.00 Status: Closed Seats Available: 3/24 Tags: ROBO-CMMA
AS.110.201 (02)	Linear Algebra	MWF 9:00AM - 9:50AM, T 4:30PM - 5:20PM	Gepner, David James	Remsen Hall 101; Bloomberg 176	Spring 2026	Description: Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations. Credits: 4.00 Status: Closed Seats Available: 1/24 Tags: ROBO-CMMA
AS.110.201 (03)	Linear Algebra	MWF 9:00AM - 9:50AM, Th 8:00PM - 8:50PM	Gepner, David James	Remsen Hall 101; Gilman 17	Spring 2026	Description: Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations. Credits: 4.00 Status: Closed Seats Available: 2/24 Tags: ROBO-CMMA
AS.110.201 (04)	Linear Algebra	MWF 9:00AM - 9:50AM, Th 4:30PM - 5:20PM	Gepner, David James	Remsen Hall 101; Gilman 17	Spring 2026	Description: Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations. Credits: 4.00 Status: Closed Seats Available: 2/24 Tags: ROBO-CMMA
AS.110.201 (05)	Linear Algebra	MWF 12:00PM - 12:50PM, T 1:30PM - 2:20PM	Gepner, David James	Maryland 110; Hodson 301	Spring 2026	Description: Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations. Credits: 4.00 Status: Closed Seats Available: 0/24 Tags: ROBO-CMMA
AS.110.201 (06)	Linear Algebra	MWF 12:00PM - 12:50PM, T 3:00PM - 3:50PM	Gepner, David James	Maryland 110; Gilman 119	Spring 2026	Description: Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations. Credits: 4.00 Status: Closed Seats Available: 0/24 Tags: ROBO-CMMA
AS.110.201 (07)	Linear Algebra	MWF 12:00PM - 12:50PM, Th 3:00PM - 3:50PM	Gepner, David James	Maryland 110; Bloomberg 278	Spring 2026	Description: Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations. Credits: 4.00 Status: Closed Seats Available: 0/24 Tags: ROBO-CMMA
AS.110.201 (08)	Linear Algebra	MWF 12:00PM - 12:50PM, Th 6:00PM - 6:50PM	Gepner, David James	Maryland 110; Gilman 17	Spring 2026	Description: Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations. Credits: 4.00 Status: Closed Seats Available: 3/24 Tags: ROBO-CMMA
AS.110.201 (88)	Linear Algebra		Marshburn, Nicholas A	Online	Spring 2026	Description: Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations. Credits: 4.00 Status: Closed Seats Available: 80/100 Tags: ROBO-CMMA
AS.110.202 (01)	Calculus III	MWF 11:00AM - 11:50AM, T 3:00PM - 3:50PM	Wright, Kayla	Krieger 205; Bloomberg 278	Spring 2026	Description: Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem. Credits: 4.00 Status: Closed Seats Available: 2/24 Tags: ROBO-CMMA
AS.110.202 (02)	Calculus III	MWF 11:00AM - 11:50AM, T 6:00PM - 6:50PM	Wright, Kayla	Krieger 205; Hodson 211	Spring 2026	Description: Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem. Credits: 4.00 Status: Closed Seats Available: 1/24 Tags: ROBO-CMMA
AS.110.202 (03)	Calculus III	MWF 11:00AM - 11:50AM, Th 9:00AM - 9:50AM	Wright, Kayla	Krieger 205; Hodson 301	Spring 2026	Description: Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem. Credits: 4.00 Status: Closed Seats Available: 1/24 Tags: ROBO-CMMA
AS.110.202 (04)	Calculus III	MWF 11:00AM - 11:50AM, Th 4:30PM - 5:20PM	Wright, Kayla	Krieger 205; Hodson 301	Spring 2026	Description: Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem. Credits: 4.00 Status: Closed Seats Available: 0/24 Tags: ROBO-CMMA
AS.110.202 (05)	Calculus III	MWF 11:00AM - 11:50AM, Th 6:00PM - 6:50PM	Wright, Kayla	Krieger 205; Bloomberg 278	Spring 2026	Description: Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem. Credits: 4.00 Status: Closed Seats Available: 0/24 Tags: ROBO-CMMA
AS.110.202 (06)	Calculus III	MWF 12:00PM - 12:50PM, T 3:00PM - 3:50PM	Wright, Kayla	Krieger 205; Bloomberg 168	Spring 2026	Description: Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem. Credits: 4.00 Status: Closed Seats Available: 3/24 Tags: ROBO-CMMA
AS.110.202 (07)	Calculus III	MWF 12:00PM - 12:50PM, T 4:30PM - 5:20PM	Wright, Kayla	Krieger 205; Hodson 303	Spring 2026	Description: Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem. Credits: 4.00 Status: Closed Seats Available: 2/24 Tags: ROBO-CMMA
AS.110.202 (08)	Calculus III	MWF 12:00PM - 12:50PM, Th 4:30PM - 5:20PM	Wright, Kayla	Krieger 205; Hodson 303	Spring 2026	Description: Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem. Credits: 4.00 Status: Closed Seats Available: 1/24 Tags: ROBO-CMMA
AS.110.202 (09)	Calculus III	MWF 12:00PM - 12:50PM, Th 6:00PM - 6:50PM	Wright, Kayla	Krieger 205; Hodson 211	Spring 2026	Description: Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem. Credits: 4.00 Status: Closed Seats Available: 7/24 Tags: ROBO-CMMA
AS.110.202 (88)	Calculus III		Goldstein, Erich A	Online	Spring 2026	Description: Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem. Credits: 4.00 Status: Closed Seats Available: 35/50 Tags: ROBO-CMMA
AS.110.204 (88)	Practical Mathematics for AI		Ali Yousuf, Muhammad	Online	Spring 2026	Description: This course provides a rigorous yet accessible introduction to the essential mathematical foundations underlying modern Artificial Intelligence (AI) and Deep Learning applications. The course emphasizes the practical application of linear algebra, probability, statistics, calculus, and optimization techniques in the design and understanding of machine learning systems. Students will explore how these core mathematical tools are used to build models for computer vision, regression, classification, clustering, and deep neural networks. Each topic is contextualized with real-world problems, Python Code, and bridging theory with implementation. The course is designed for students from diverse academic backgrounds who want to gain a solid foundation in mathematics for working with AI systems. Topics include: Vectors, matrices, and tensor operations; Calculus and gradient-based optimization for training neural networks; Probability theory and statistical inference in machine learning; Mathematical intuition behind computer vision, regression, classification, clustering, and deep neural networks with practical use cases. Credits: 4.00 Status: Closed Seats Available: 46/50 Tags: n/a
AS.110.205 (88)	Mathematics of Data Science		Ratigan, Christopher J	Online	Spring 2026	Description: This course is designed for students of all backgrounds to provide a solid foundation in the underlying mathematical, programming, and statistical theory of data analysis. In today's data driven world, data literacy is an increasingly important skill to master. To this end, the course will motivate the fundamental concepts used in this growing field. While discussing the general theory behind common methods of data science there will be numerous applications to real world data sets. In particular, the course will use Python libraries to create, import, and analyze data sets. Credits: 4.00 Status: Canceled Seats Available: 50/50 Tags: n/a
AS.110.211 (01)	Honors Multivariable Calculus	MW 1:30PM - 2:45PM, F 1:30PM - 2:20PM	Stufflebeam, Hunter Alexander	Bloomberg 168; Gilman 17	Spring 2026	Description: This course includes the material in AS.110.202 with some additional applications and theory. Recommended for mathematically able students majoring in physical science, engineering, or especially mathematics. AS.110.211-AS.110.212 used to be an integrated yearlong course, but now the two are independent courses and can be taken in either order. Credits: 4.00 Status: Closed Seats Available: 3/30 Tags: ROBO-CMMA
AS.110.212 (01)	Honors Linear Algebra	MW 1:30PM - 2:45PM, F 1:30PM - 2:20PM	Gregoric, Rok	Maryland 104; Gilman 400	Spring 2026	Description: This course includes the material in AS.110.201 with additional applications and theory, and is recommended only for mathematically able students majoring in physical science, engineering, or mathematics who are interested in a proof-based version of linear algebra. This course can serve as an Introduction to Proofs (IP) course. Prerequisites: Grade of B+ or better in 110.107 or 110.109 or 110.113, or a 5 on the AP BC exam. Area: Quantitative and Mathematical Sciences. Credits: 4.00 Status: Closed Seats Available: 10/20 Tags: ROBO-CMMA
AS.110.275 (88)	Introduction to Probability		Marshburn, Nicholas A	Online	Spring 2026	Description: This course follows the actuarial Exam P syllabus and learning objectives to prepare students to pass the SOA/CAS Probability Exam. Topics include axioms of probability, discrete and continuous random variables, conditional probability, Bayes’ theorem, Chebyshev's Theorem, Central Limit Theorem, univariate and joint distributions and expectations, loss frequency, loss severity and other risk management concepts. Exam P learning objectives and learning outcomes are emphasized. Recommended Course Background: Calculus II Credits: 4.00 Status: Closed Seats Available: 92/100 Tags: n/a
AS.110.301 (88)	Introduction to Proofs		Goldstein, Erich A	Online	Spring 2026	Description: This course will provide a practical introduction to mathematical proof, both as they have been done for centuries, and using a modern technological theorem prover. The course begins with the basic building blocks of mathematics: propositional logic, set theory, functions, and relations. These foundational tools lead to answers to questions that are surprisingly difficult, like “what are numbers?” Students will be exposed to mathematical notation and how to create it in digital documents, as well as an “artificially intelligent” proof assistant. The course will conclude with a consideration of the role of A.I. in pure mathematics, particularly as it applies to proofs. Credits: 4.00 Status: Canceled Seats Available: 50/50 Tags: n/a
AS.110.302 (01)	Differential Equations and Applications	MWF 12:00PM - 12:50PM, T 4:30PM - 5:20PM	Sire, Yannick	Olin 305; Gilman 119	Spring 2026	Description: This is a course in ordinary differential equations (ODEs), equations involving an unknown function of one independent variable and some of its derivatives, and is primarily a course in the study of the structure of and techniques for solving ODEs as mathematical models. Specific topics include first and second ODEs of various types, systems of linear differential equations, autonomous systems, and the qualitative and quantitative analysis of nonlinear systems of first-order ODEs. Laplace transforms, series solutions and the basics of numerical solutions are included as extra topics. Prerequisites: Grade of C- or better in 110.107 or 110.109 or 110.113, or a 5 on the AP BC exam. Area: Quantitative and Mathematical Sciences. Credits: 4.00 Status: Closed Seats Available: 0/24 Tags: n/a
AS.110.302 (02)	Differential Equations and Applications	MWF 12:00PM - 12:50PM, Th 3:00PM - 3:50PM	Sire, Yannick	Olin 305; Hodson 315	Spring 2026	Description: This is a course in ordinary differential equations (ODEs), equations involving an unknown function of one independent variable and some of its derivatives, and is primarily a course in the study of the structure of and techniques for solving ODEs as mathematical models. Specific topics include first and second ODEs of various types, systems of linear differential equations, autonomous systems, and the qualitative and quantitative analysis of nonlinear systems of first-order ODEs. Laplace transforms, series solutions and the basics of numerical solutions are included as extra topics. Prerequisites: Grade of C- or better in 110.107 or 110.109 or 110.113, or a 5 on the AP BC exam. Area: Quantitative and Mathematical Sciences. Credits: 4.00 Status: Closed Seats Available: 2/24 Tags: n/a
AS.110.302 (03)	Differential Equations and Applications	MWF 12:00PM - 12:50PM, Th 4:30PM - 5:20PM	Sire, Yannick	Olin 305; Gilman 119	Spring 2026	Description: This is a course in ordinary differential equations (ODEs), equations involving an unknown function of one independent variable and some of its derivatives, and is primarily a course in the study of the structure of and techniques for solving ODEs as mathematical models. Specific topics include first and second ODEs of various types, systems of linear differential equations, autonomous systems, and the qualitative and quantitative analysis of nonlinear systems of first-order ODEs. Laplace transforms, series solutions and the basics of numerical solutions are included as extra topics. Prerequisites: Grade of C- or better in 110.107 or 110.109 or 110.113, or a 5 on the AP BC exam. Area: Quantitative and Mathematical Sciences. Credits: 4.00 Status: Closed Seats Available: 1/24 Tags: n/a
AS.110.302 (04)	Differential Equations and Applications	MWF 12:00PM - 12:50PM, Th 6:00PM - 6:50PM	Sire, Yannick	Olin 305; Hodson 316	Spring 2026	Description: This is a course in ordinary differential equations (ODEs), equations involving an unknown function of one independent variable and some of its derivatives, and is primarily a course in the study of the structure of and techniques for solving ODEs as mathematical models. Specific topics include first and second ODEs of various types, systems of linear differential equations, autonomous systems, and the qualitative and quantitative analysis of nonlinear systems of first-order ODEs. Laplace transforms, series solutions and the basics of numerical solutions are included as extra topics. Prerequisites: Grade of C- or better in 110.107 or 110.109 or 110.113, or a 5 on the AP BC exam. Area: Quantitative and Mathematical Sciences. Credits: 4.00 Status: Closed Seats Available: 5/24 Tags: n/a
AS.110.302 (05)	Differential Equations and Applications	MWF 1:30PM - 2:20PM, T 3:00PM - 3:50PM	Sire, Yannick	Olin 305; Bloomberg 274	Spring 2026	Description: This is a course in ordinary differential equations (ODEs), equations involving an unknown function of one independent variable and some of its derivatives, and is primarily a course in the study of the structure of and techniques for solving ODEs as mathematical models. Specific topics include first and second ODEs of various types, systems of linear differential equations, autonomous systems, and the qualitative and quantitative analysis of nonlinear systems of first-order ODEs. Laplace transforms, series solutions and the basics of numerical solutions are included as extra topics. Prerequisites: Grade of C- or better in 110.107 or 110.109 or 110.113, or a 5 on the AP BC exam. Area: Quantitative and Mathematical Sciences. Credits: 4.00 Status: Closed Seats Available: 2/24 Tags: n/a
AS.110.302 (06)	Differential Equations and Applications	MWF 1:30PM - 2:20PM, T 4:30PM - 5:20PM	Sire, Yannick	Olin 305; Hodson 211	Spring 2026	Description: This is a course in ordinary differential equations (ODEs), equations involving an unknown function of one independent variable and some of its derivatives, and is primarily a course in the study of the structure of and techniques for solving ODEs as mathematical models. Specific topics include first and second ODEs of various types, systems of linear differential equations, autonomous systems, and the qualitative and quantitative analysis of nonlinear systems of first-order ODEs. Laplace transforms, series solutions and the basics of numerical solutions are included as extra topics. Prerequisites: Grade of C- or better in 110.107 or 110.109 or 110.113, or a 5 on the AP BC exam. Area: Quantitative and Mathematical Sciences. Credits: 4.00 Status: Closed Seats Available: 2/24 Tags: n/a
AS.110.302 (88)	Differential Equations and Applications		Marshburn, Nicholas A	Online	Spring 2026	Description: This is a course in ordinary differential equations (ODEs), equations involving an unknown function of one independent variable and some of its derivatives, and is primarily a course in the study of the structure of and techniques for solving ODEs as mathematical models. Specific topics include first and second ODEs of various types, systems of linear differential equations, autonomous systems, and the qualitative and quantitative analysis of nonlinear systems of first-order ODEs. Laplace transforms, series solutions and the basics of numerical solutions are included as extra topics. Prerequisites: Grade of C- or better in 110.107 or 110.109 or 110.113, or a 5 on the AP BC exam. Area: Quantitative and Mathematical Sciences. Credits: 4.00 Status: Closed Seats Available: 86/100 Tags: n/a
AS.110.303 (88)	The Mathematics of Politics, Democracy, and Social Choice		Ratigan, Christopher J	Online	Spring 2026	Description: This course is designed for students of all backgrounds to provide a mathematical introduction to social choice theory, weighted voting systems, apportionment methods, and gerrymandering. In the search for ideal ways to make certain kinds of political decisions, a lot of wasted effort could be averted if mathematics could determine that finding such an ideal were actually possible in the first place. The course will analyze data from recent US elections as well as provide historical context to modern discussions in politics, culminating in a mathematical analysis of the US Electoral College. Case studies, future implications, and comparisons to other governing bodies outside the US will be used to apply the theory of the course. Students will use Microsoft Excel to analyze data sets. There are no mathematical prerequisites for this course. Credits: 4.00 Status: Closed Seats Available: 1/20 Tags: AGRI-ELECT
AS.110.304 (01)	Elementary Number Theory	TTh 9:00AM - 10:15AM, F 9:00AM - 9:50AM	Klevdal, Christian	Bloomberg 168; Bloomberg 276	Spring 2026	Description: The student is provided with many historical examples of topics, each of which serves as an illustration of and provides a background for many years of current research in number theory. Primes and prime factorization, congruences, Euler's function, quadratic reciprocity, primitive roots, solutions to polynomial congruences (Chevalley's theorem), Diophantine equations including the Pythagorean and Pell equations, Gaussian integers, Dirichlet's theorem on primes. Credits: 4.00 Status: Closed Seats Available: 13/20 Tags: n/a
AS.110.304 (88)	Elementary Number Theory		Marshburn, Nicholas A	Online	Spring 2026	Description: The student is provided with many historical examples of topics, each of which serves as an illustration of and provides a background for many years of current research in number theory. Primes and prime factorization, congruences, Euler's function, quadratic reciprocity, primitive roots, solutions to polynomial congruences (Chevalley's theorem), Diophantine equations including the Pythagorean and Pell equations, Gaussian integers, Dirichlet's theorem on primes. Credits: 4.00 Status: Closed Seats Available: 49/50 Tags: n/a
AS.110.311 (01)	Methods of Complex Analysis	TTh 12:00PM - 1:15PM, F 12:00PM - 12:50PM	Restrepo Montoya, Daniel Eduardo	Bloomberg 276; Krieger 308	Spring 2026	Description: This course is an introduction to the theory of functions of one complex variable. Its emphasis is on techniques and applications, and it serves as a basis for more advanced courses. Functions of a complex variable and their derivatives; power series and Laurent expansions; Cauchy integral theorem and formula; calculus of residues and contour integrals; harmonic functions. Credits: 4.00 Status: Closed Seats Available: 12/20 Tags: n/a
AS.110.311 (88)	Methods of Complex Analysis		Goldstein, Erich A	Online	Spring 2026	Description: This course is an introduction to the theory of functions of one complex variable. Its emphasis is on techniques and applications, and it serves as a basis for more advanced courses. Functions of a complex variable and their derivatives; power series and Laurent expansions; Cauchy integral theorem and formula; calculus of residues and contour integrals; harmonic functions. Credits: 4.00 Status: Closed Seats Available: 47/50 Tags: n/a
AS.110.376 (88)	The Mathematics of Cryptography and Cybersecurity		Ross, Lauren Elizabeth	Online	Spring 2026	Description: The Mathematics of Cryptography and Cybersecurity introduces students to the mathematical principles that secure digital communication in the modern world. The course focuses on the theory and construction of public-key cryptosystems and digital signature schemes, emphasizing the number-theoretic foundations of data security. Students will explore how mathematical ideas such as modular arithmetic, prime factorization, and discrete logarithms underpin real-world cybersecurity protocols including RSA, Diffie–Hellman key exchange, and elliptic curve cryptography. In addition to classical and modern cryptographic systems, the course highlights the role of mathematics in assessing vulnerabilities, analyzing security guarantees, and understanding emerging cryptographic challenges in cybersecurity. Topics include primality testing, factorization algorithms, probability and information theory, and collision resistance. This course offers a rigorous yet accessible path for students in mathematics and computer science to understand how abstract theory translates into the protection of information in a digital age. Credits: 4.00 Status: Canceled Seats Available: 50/50 Tags: n/a
AS.110.401 (01)	Introduction to Abstract Algebra	MW 12:00PM - 1:15PM, F 12:00PM - 12:50PM	Rijke, Egbert	Bloomberg 276; Bloomberg 276	Spring 2026	Description: An introduction to the basic notions of modern abstract algebra and can serve as as Introduction to Proofs (IP) course. This course is an introduction to group theory, with an emphasis on concrete examples, and especially on geometric symmetry groups. The course will introduce basic notions (groups, subgroups, homomorphisms, quotients) and prove foundational results (Lagrange's theorem, Cauchy's theorem, orbit-counting techniques, the classification of finite abelian groups). Examples to be discussed include permutation groups, dihedral groups, matrix groups, and finite rotation groups, culminating in the classification of the wallpaper groups. Prerequisites: Grade of C- or better in 110.201 or 110.212 Area: Quantitative and Mathematical Sciences. Credits: 4.00 Status: Closed Seats Available: 2/20 Tags: n/a
AS.110.401 (88)	Introduction to Abstract Algebra		Marshburn, Nicholas A	Online	Spring 2026	Description: An introduction to the basic notions of modern abstract algebra and can serve as as Introduction to Proofs (IP) course. This course is an introduction to group theory, with an emphasis on concrete examples, and especially on geometric symmetry groups. The course will introduce basic notions (groups, subgroups, homomorphisms, quotients) and prove foundational results (Lagrange's theorem, Cauchy's theorem, orbit-counting techniques, the classification of finite abelian groups). Examples to be discussed include permutation groups, dihedral groups, matrix groups, and finite rotation groups, culminating in the classification of the wallpaper groups. Prerequisites: Grade of C- or better in 110.201 or 110.212 Area: Quantitative and Mathematical Sciences. Credits: 4.00 Status: Closed Seats Available: 42/50 Tags: n/a
AS.110.405 (01)	Real Analysis I	MW 1:30PM - 2:45PM, F 1:30PM - 2:20PM	Wang, Yi	Ames 218; Maryland 217	Spring 2026	Description: This course is designed to give a firm grounding in the basic tools of analysis. It is recommended as preparation (but may not be a prerequisite) for other advanced analysis courses and may be taken as an Introduction to Proofs (IP) course. Topics include the formal properties of real and complex number systems, topology of metric spaces, limits, continuity, infinite sequences and series, differentiation, Riemann-Stieltjes integration. Prerequisites: Grade of C- or better in 110.201 or 110.212 and 110.202 or 110.211 Credits: 4.00 Status: Closed Seats Available: 6/20 Tags: ROBO-CMMA
AS.110.405 (88)	Real Analysis I		Cutrone, Joseph W; Marino, Jeffrey Robert	Online	Spring 2026	Description: This course is designed to give a firm grounding in the basic tools of analysis. It is recommended as preparation (but may not be a prerequisite) for other advanced analysis courses and may be taken as an Introduction to Proofs (IP) course. Topics include the formal properties of real and complex number systems, topology of metric spaces, limits, continuity, infinite sequences and series, differentiation, Riemann-Stieltjes integration. Prerequisites: Grade of C- or better in 110.201 or 110.212 and 110.202 or 110.211 Credits: 4.00 Status: Closed Seats Available: 60/100 Tags: ROBO-CMMA
AS.110.406 (01)	Real Analysis II	MW 1:30PM - 2:45PM, F 1:30PM - 2:20PM	McConnell, Ryan	Bloomberg 178; Bloomberg 172	Spring 2026	Description: This course continues AS.110.405 with an emphasis on the fundamental notions of modern analysis. Sequences and series of functions, Fourier series, equicontinuity and the Arzela-Ascoli theorem, the Stone-Weierstrass theorem, functions of several variables, the inverse and implicit function theorems, introduction to the Lebesgue integral. Credits: 4.00 Status: Closed Seats Available: 6/10 Tags: n/a
AS.110.406 (88)	Real Analysis II		Cutrone, Joseph W; Marino, Jeffrey Robert	Online	Spring 2026	Description: This course continues AS.110.405 with an emphasis on the fundamental notions of modern analysis. Sequences and series of functions, Fourier series, equicontinuity and the Arzela-Ascoli theorem, the Stone-Weierstrass theorem, functions of several variables, the inverse and implicit function theorems, introduction to the Lebesgue integral. Credits: 4.00 Status: Closed Seats Available: 45/50 Tags: n/a
AS.110.412 (01)	Honors Algebra II	MW 12:00PM - 1:15PM, F 12:00PM - 12:50PM	Gregoric, Rok	Maryland 104; Krieger 300	Spring 2026	Description: This is a continuation of 110.411 Honors Algebra I. Topics studies include principal ideal domains, structure of finitely generated modules over them. Introduction to field theory. Linear algebra over a field. Field extensions, constructible polygons, non-trisectability. Splitting field of a polynomial, algebraic closure of a field. Galois theory: correspondence between subgroups and subfields. Solvability of polynomial equations by radicals. Prerequisites: Grade of C- or better in 110.201 or 110.212. Area: Quantitative and Mathematical Sciences. Credits: 4.00 Status: Closed Seats Available: 13/20 Tags: n/a
AS.110.412 (88)	Honors Algebra II		Marshburn, Nicholas A	Online	Spring 2026	Description: This is a continuation of 110.411 Honors Algebra I. Topics studies include principal ideal domains, structure of finitely generated modules over them. Introduction to field theory. Linear algebra over a field. Field extensions, constructible polygons, non-trisectability. Splitting field of a polynomial, algebraic closure of a field. Galois theory: correspondence between subgroups and subfields. Solvability of polynomial equations by radicals. Prerequisites: Grade of C- or better in 110.201 or 110.212. Area: Quantitative and Mathematical Sciences. Credits: 4.00 Status: Closed Seats Available: 45/50 Tags: n/a
AS.110.413 (01)	Introduction to Topology	TTh 10:30AM - 11:45AM, Th 4:30PM - 5:20PM	Brown, Richard; Staff	Krieger 411; Krieger 300	Spring 2026	Description: Topological spaces, connectedness, compactness, quotient spaces, metric spaces, function spaces. An introduction to algebraic topology: covering spaces, the fundamental group, and other topics as time permits. Credits: 4.00 Status: Closed Seats Available: 4/20 Tags: n/a
AS.110.413 (88)	Introduction To Topology		Ross, Lauren Elizabeth	Online	Spring 2026	Description: Topological spaces, connectedness, compactness, quotient spaces, metric spaces, function spaces. An introduction to algebraic topology: covering spaces, the fundamental group, and other topics as time permits. Credits: 4.00 Status: Closed Seats Available: 40/50 Tags: n/a
AS.110.416 (01)	Honors Analysis II	MW 1:30PM - 2:45PM, F 1:30PM - 2:20PM	Sogge, Christopher Donald	Bloomberg 276; Bloomberg 276	Spring 2026	Description: Lebesgue integration and differentiation. Elementary Hilbert and Banach space theory. Baire category theorem. Continuation of AS.110.415, introduction to real analysis. Credits: 4.00 Status: Closed Seats Available: 0/12 Tags: n/a
AS.110.417 (01)	Partial Differential Equations	TTh 3:00PM - 4:15PM	Restrepo Montoya, Daniel Eduardo	Hackerman 320	Spring 2026	Description: This course is aimed at a first exposure to the theory of Partial Differential Equations by examples. Basic examples of PDEs (Boundary value problems and initial value problems): Laplace equation, heat equation and wave equation. Method of separation of variables. Fourier series. Examples of wave equations in one and two dimensions. Sturm-Liouville eigenvalue problems and generalized Fourier series. Self-adjoint operators and applications to problems in higher dimensions. Nonhomogeneous PDEs. Green's functions and fundamental solution for the heat equation. Prerequisites:Calculus III. Recommended: 110.405 or 110.415. Credits: 3.00 Status: Closed Seats Available: 7/12 Tags: n/a
AS.110.421 (01)	Dynamical Systems	TTh 3:00PM - 4:15PM	Brown, Richard	Krieger Laverty	Spring 2026	Description: This is a course in the modern theory of Dynamical Systems. Topic include both discrete (iterated maps) and continuous (differential equations) dynamical systems and focuses on the qualitative structure of the system in developing properties of solutions. Topics include contractions, interval and planar maps, linear and nonlinear ODE systems including bifurcation theory, recurrence, transitivity and mixing, phase volume preservation as well as chaos theory, fractional dimension and topological entropy. May be taken as an Introduction to Proofs (IP) course. Prerequisites: Grade of C- or better in 110.201 or 110.212 OR 110.202 or 110.211 and 110.302 Area: Quantitative and Mathematical Sciences Credits: 3.00 Status: Closed Seats Available: 7/18 Tags: n/a
AS.110.427 (01)	Intro to the Calculus of Variations	MW 3:00PM - 4:15PM	Stufflebeam, Hunter Alexander	Bloomberg 172	Spring 2026	Description: The calculus of variations is concerned with finding optimal solutions (shapes, functions, etc.) where optimality is measured by minimizing a functional (usually an integral involving the unknown functions) possibly with constraints. Applications include mostly one-dimensional (often geometric) problems: brachistochrone, geodesics, minimum surface area of revolution, isoperimetric problem, curvature flows, and some differential geometry of curves and surfaces. Recommended Course Background: Calculus III Credits: 3.00 Status: Closed Seats Available: 9/15 Tags: n/a
AS.110.431 (01)	Introduction to Knot Theory	TTh 3:00PM - 4:15PM	Shumakovitch, Alexander N	Bloomberg 178	Spring 2026	Description: The goal of this course is to give a broad introduction to knot theory and its relation to the topology of 3-manifolds. Topics to be covered include: knot diagrams and Reidemeister moves, knot group and its Wirtinger representation, Seifert surfaces and Seifert forms, cyclic covers of knot complements and their invariants, Alexander invariant and Alexander polynomial, mapping class group of a surface, Dehn surgery and Kirby calculus, and Heegaard spitting of 3-manifolds. Credits: 3.00 Status: Closed Seats Available: 7/10 Tags: n/a
AS.110.435 (88)	Introduction to Algebraic Geometry		Marshburn, Nicholas A	Online	Spring 2026	Description: Algebraic geometry studies zeros of polynomials in several variables and is based on the use of abstract algebraic techniques, mainly from commutative algebra, for solving geometric problems about these sets of zeros. The fundamental objects of study are algebraic varieties which are the geometric manifestations of solutions of systems of polynomial equations. Algebraic geometry occupies a central place in modern mathematics and has multiple conceptual connections with diverse fields such as complex analysis, topology and number theory. This course aims to provide to an undergraduate student majoring in mathematics the fundamental background to approach the study of algebraic geometry by providing the needed abstract knowledge also complemented by several examples and applications. Credits: 3.00 Status: Closed Seats Available: 47/50 Tags: n/a
AS.110.445 (01)	Mathematical and Computational Foundations of Data Science	MW 4:30PM - 5:45PM	Maggioni, Mauro	Hodson 213	Spring 2026	Description: We will cover several topics in the mathematical and computational foundations of Data Science. The emphasis is on fundamental mathematical ideas (basic functional analysis, reproducing kernel Hilbert spaces, concentration inequalities, uniform central limit theorems), basic statistical modeling techniques (e.g. linear regression, parametric and non-parametric methods), basic machine learning techniques for unsupervised (e.g. clustering, manifold learning), supervised (classification, regression), and semi-supervised learning, and corresponding computational aspects (linear algebra, basic linear and nonlinear optimization to attack the problems above). Applications will include statistical signal processing, imaging, inverse problems, graph processing, and problems at the intersection of statistics/machine learning and physical/dynamical systems (e.g. model reduction for stochastic dynamical systems). Credits: 3.00 Status: Closed Seats Available: 32/50 Tags: ROBO-CMMA, CSCI-OTHER
AS.110.503 (04)	Undergraduate Research in Mathematics		Im, Mee Seong		Spring 2026	Description: You must submit an Independent Academic Work form to enroll in this course. The form can be found in Student Self-Service: Registration, Online Forms. Credits: 1.00 - 4.00 Status: Closed Seats Available: 5/5 Tags: n/a
AS.110.503 (05)	Undergraduate Research in Mathematics		Restrepo Montoya, Daniel Eduardo		Spring 2026	Description: You must submit an Independent Academic Work form to enroll in this course. The form can be found in Student Self-Service: Registration, Online Forms. Credits: 1.00 - 4.00 Status: Closed Seats Available: 5/5 Tags: n/a
AS.110.503 (08)	Undergraduate Research in Mathematics		Lu, Fei		Spring 2026	Description: You must submit an Independent Academic Work form to enroll in this course. The form can be found in Student Self-Service: Registration, Online Forms. Credits: 1.00 - 4.00 Status: Closed Seats Available: 4/5 Tags: n/a
AS.110.585 (01)	Directed Research for Undergraduates		Im, Mee Seong		Spring 2026	Description: Research on a topic chosen by the professor. Throughout the semester, each student will present related topics, including write ups for the presentations, which may be merged as a contribution to a collaborative paper. Credits: 3.00 Status: Closed Seats Available: 2/5 Tags: n/a
AS.110.586 (02)	Independent Study		Riehl, EMILY		Spring 2026	Description: You must submit an Independent Academic Work form to enroll in this course. The form can be accessed through SEAM. Credits: 1.00 - 4.00 Status: Closed Seats Available: 5/5 Tags: n/a
AS.110.586 (06)	Independent Study		Iyengar, Ashwin		Spring 2026	Description: You must submit an Independent Academic Work form to enroll in this course. The form can be accessed through SEAM. Credits: 1.00 - 4.00 Status: Closed Seats Available: 5/5 Tags: n/a
AS.110.586 (07)	Independent Study		Dalal, Rahul		Spring 2026	Description: You must submit an Independent Academic Work form to enroll in this course. The form can be accessed through SEAM. Credits: 1.00 - 4.00 Status: Closed Seats Available: 5/5 Tags: n/a
AS.110.586 (08)	Independent Study		Sakellaridis, Yiannis		Spring 2026	Description: You must submit an Independent Academic Work form to enroll in this course. The form can be accessed through SEAM. Credits: 1.00 - 4.00 Status: Closed Seats Available: 5/5 Tags: n/a
AS.110.586 (09)	Independent Study		Shokurov, Vyacheslav		Spring 2026	Description: You must submit an Independent Academic Work form to enroll in this course. The form can be accessed through SEAM. Credits: 1.00 - 4.00 Status: Closed Seats Available: 5/5 Tags: n/a
AS.110.586 (10)	Independent Study		Shumakovitch, Alexander N		Spring 2026	Description: You must submit an Independent Academic Work form to enroll in this course. The form can be accessed through SEAM. Credits: 1.00 - 4.00 Status: Closed Seats Available: 5/5 Tags: n/a
AS.110.586 (12)	Independent Study		Maggioni, Mauro		Spring 2026	Description: You must submit an Independent Academic Work form to enroll in this course. The form can be accessed through SEAM. Credits: 1.00 - 4.00 Status: Closed Seats Available: 5/5 Tags: n/a
AS.110.586 (13)	Independent Study		Restrepo Montoya, Daniel Eduardo		Spring 2026	Description: You must submit an Independent Academic Work form to enroll in this course. The form can be accessed through SEAM. Credits: 1.00 - 4.00 Status: Closed Seats Available: 5/5 Tags: n/a
AS.110.586 (14)	Independent Study		Corato Zanarella, Murilo		Spring 2026	Description: You must submit an Independent Academic Work form to enroll in this course. The form can be accessed through SEAM. Credits: 1.00 - 4.00 Status: Closed Seats Available: 4/5 Tags: n/a
AS.110.586 (15)	Independent Study		Rijke, Egbert		Spring 2026	Description: You must submit an Independent Academic Work form to enroll in this course. The form can be accessed through SEAM. Credits: 1.00 - 4.00 Status: Closed Seats Available: 3/5 Tags: n/a
AS.110.586 (16)	Independent Study		Marshall-Stevens, Kobe		Spring 2026	Description: You must submit an Independent Academic Work form to enroll in this course. The form can be accessed through SEAM. Credits: 1.00 - 4.00 Status: Closed Seats Available: 5/5 Tags: n/a
AS.110.587 (01)	DRP Independent Study		Majure, Mitch James		Spring 2026	Description: Directed Reading Program (DRP) Independent Study Credits: 1.00 Status: Closed Seats Available: 5/5 Tags: n/a
AS.110.587 (02)	DRP Independent Study		Ahmed, Mikail Yunus		Spring 2026	Description: Directed Reading Program (DRP) Independent Study Credits: 1.00 Status: Closed Seats Available: 5/5 Tags: n/a
AS.110.587 (03)	DRP Independent Study		Zhao, Minghao		Spring 2026	Description: Directed Reading Program (DRP) Independent Study Credits: 1.00 Status: Closed Seats Available: 1/5 Tags: n/a
AS.110.587 (05)	DRP Independent Study		Lin, Jonathan		Spring 2026	Description: Directed Reading Program (DRP) Independent Study Credits: 1.00 Status: Closed Seats Available: 5/5 Tags: n/a
AS.110.100 (41)	Data Analytics Workshop		Zoll, Aaron Joshua	Online	Summer 2026	Description: In this two-week pre-college program, students work in groups to construct and present a data analysis project which collects, organizes, cleanses, and visualizes a dataset of their choosing. Topics include exploratory data analysis, data visualization, probability distributions, data scraping and cleansing, the basics of hypothesis testing, and regression modeling. Students will primarily use Microsoft Excel. Programs like Octave (Matlab), and Octoparse, will also be introduced to help students learn the basics of data analytics. Credits: 1.00 Status: Open Seats Available: 43/50 Tags: n/a
AS.110.100 (51)	Data Analytics Workshop		Zoll, Aaron Joshua	Online	Summer 2026	Description: In this two-week pre-college program, students work in groups to construct and present a data analysis project which collects, organizes, cleanses, and visualizes a dataset of their choosing. Topics include exploratory data analysis, data visualization, probability distributions, data scraping and cleansing, the basics of hypothesis testing, and regression modeling. Students will primarily use Microsoft Excel. Programs like Octave (Matlab), and Octoparse, will also be introduced to help students learn the basics of data analytics. Credits: 1.00 Status: Open Seats Available: 43/50 Tags: n/a
AS.110.100 (61)	Data Analytics Workshop		Zoll, Aaron Joshua	Online	Summer 2026	Description: In this two-week pre-college program, students work in groups to construct and present a data analysis project which collects, organizes, cleanses, and visualizes a dataset of their choosing. Topics include exploratory data analysis, data visualization, probability distributions, data scraping and cleansing, the basics of hypothesis testing, and regression modeling. Students will primarily use Microsoft Excel. Programs like Octave (Matlab), and Octoparse, will also be introduced to help students learn the basics of data analytics. Credits: 1.00 Status: Open Seats Available: 44/50 Tags: n/a
AS.110.102 (88)	College Algebra		Cutrone, Joseph W; Gaines, Alexa D	Online	Summer 2026	Description: This introductory course will create a foundational understanding of topics in Algebra. An emphasis will be on applications to prepare students for future courses like Precalculus or Statistics. After a review of elementary algebra concepts, topics covered include: equations and inequalities, linear equations, exponents and polynomials, factoring, rational expressions and equations, relations and functions, radicals, linear and quadratic equations, higher-degree polynomials, exponential, logarithmic, and rational functions. Credits: 4.00 Status: Canceled Seats Available: 100/100 Tags: n/a
AS.110.105 (21)	Precalculus	MTWTh 1:00PM - 3:30PM	Cutrone, Joseph W	Gilman 313	Summer 2026	Description: This course provides students with the background necessary for the study of calculus. It begins with a review of the coordinate plane, linear equations, and inequalities, and moves purposefully into the study of functions. Students will explore the nature of graphs and deepen their understanding of polynomial, rational, trigonometric, exponential, and logarithmic functions, and will be introduced to complex numbers, parametric equations, and the difference quotient. Credits: 4.00 Status: Open Seats Available: 11/12 Tags: n/a
AS.110.105 (88)	Precalculus		Gaines, Alexa D	Online	Summer 2026	Description: This course provides students with the background necessary for the study of calculus. It begins with a review of the coordinate plane, linear equations, and inequalities, and moves purposefully into the study of functions. Students will explore the nature of graphs and deepen their understanding of polynomial, rational, trigonometric, exponential, and logarithmic functions, and will be introduced to complex numbers, parametric equations, and the difference quotient. Credits: 4.00 Status: Open Seats Available: 93/100 Tags: n/a
AS.110.107 (88)	Calculus II (For Biology and Social Science)		Bridgman, Terry	Online	Summer 2026	Description: Differential and integral Calculus. Includes analytic geometry, functions, limits, integrals and derivatives, introduction to differential equations, functions of several variables, linear systems, applications for systems of linear differential equations, probability distributions. Applications to the biological and social sciences will be discussed, and the courses are designed to meet the needs of students in these disciplines. Recommended Course Background: Grade of C- or Better in AS.110.106 or AS.110.108, or a 5 on the AP AB exam. Credits: 4.00 Status: Open Seats Available: 89/100 Tags: ROBO-CMMA
AS.110.108 (21)	Calculus I (Physical Sciences & Engineering)	MTWTh 9:00AM - 11:30AM	Chedalavada, Anish V	Gilman 413	Summer 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, polar coordinates, parametric equations, Taylor's theorem and applications, infinite sequences and series. Some applications to the physical sciences and engineering will be discussed, and the courses are designed to meet the needs of students in these disciplines. Credits: 4.00 Status: Open Seats Available: 8/16 Tags: ROBO-CMMA
AS.110.108 (88)	Calculus I (Physical Sciences & Engineering)		Clayton, Amanda M	Online	Summer 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, polar coordinates, parametric equations, Taylor's theorem and applications, infinite sequences and series. Some applications to the physical sciences and engineering will be discussed, and the courses are designed to meet the needs of students in these disciplines. Credits: 4.00 Status: Open Seats Available: 85/100 Tags: ROBO-CMMA
AS.110.109 (88)	Calculus II (Physical Sciences & Engineering)		Cutrone, Joseph W	Online	Summer 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, polar coordinates, parametric equations, Taylor's theorem and applications, infinite sequences and series. Some applications to the physical sciences and engineering will be discussed, and the courses are designed to meet the needs of students in these disciplines. Recommended Course Background: Grade of C- or Better in AS.110.106 or AS.110.108, or a 5 on the AP AB exam. Credits: 4.00 Status: Open Seats Available: 97/100 Tags: ROBO-CMMA
AS.110.110 (66)	Foundational Mathematics of Artificial Intelligence	MTWThF 9:30AM - 4:00PM	Rijke, Egbert	Hodson 303	Summer 2026	Description: As artificial intelligence models like ChatGPT become increasingly capable and part of our everyday life, the need to understand their inner workings intensifies. This course introduces the mathematical and statistical principles behind machine learning and AI technologies. Students will assimilate basic concepts including math models and performance measurement. They will apply software to build machine learning applications that serve as AI building blocks including linear regression, classification trees, neural networks, and reinforcement learning. Participants will be challenged to assess the quality of their analyses to better understand the opportunities for, and the limitations of AI. Credits: 1.00 Status: Waitlist Only Seats Available: 0/24 Tags: n/a
AS.110.110 (67)	Foundational Mathematics of Artificial Intelligence	MTWThF 9:30AM - 4:00PM	Cutrone, Joseph W	Hodson 301	Summer 2026	Description: As artificial intelligence models like ChatGPT become increasingly capable and part of our everyday life, the need to understand their inner workings intensifies. This course introduces the mathematical and statistical principles behind machine learning and AI technologies. Students will assimilate basic concepts including math models and performance measurement. They will apply software to build machine learning applications that serve as AI building blocks including linear regression, classification trees, neural networks, and reinforcement learning. Participants will be challenged to assess the quality of their analyses to better understand the opportunities for, and the limitations of AI. Credits: 1.00 Status: Open Seats Available: 22/24 Tags: n/a
AS.110.110 (71)	Foundational Mathematics of Artificial Intelligence	MTWThF 9:30AM - 4:00PM	Sukurdeep, Yashil	Hodson 303	Summer 2026	Description: As artificial intelligence models like ChatGPT become increasingly capable and part of our everyday life, the need to understand their inner workings intensifies. This course introduces the mathematical and statistical principles behind machine learning and AI technologies. Students will assimilate basic concepts including math models and performance measurement. They will apply software to build machine learning applications that serve as AI building blocks including linear regression, classification trees, neural networks, and reinforcement learning. Participants will be challenged to assess the quality of their analyses to better understand the opportunities for, and the limitations of AI. Credits: 1.00 Status: Open Seats Available: 5/24 Tags: n/a
AS.110.110 (72)	Foundational Mathematics of Artificial Intelligence	MTWThF 9:30AM - 4:00PM	Nakade, Apurva	Hodson 301	Summer 2026	Description: As artificial intelligence models like ChatGPT become increasingly capable and part of our everyday life, the need to understand their inner workings intensifies. This course introduces the mathematical and statistical principles behind machine learning and AI technologies. Students will assimilate basic concepts including math models and performance measurement. They will apply software to build machine learning applications that serve as AI building blocks including linear regression, classification trees, neural networks, and reinforcement learning. Participants will be challenged to assess the quality of their analyses to better understand the opportunities for, and the limitations of AI. Credits: 1.00 Status: Open Seats Available: 24/24 Tags: n/a
AS.110.110 (76)	Foundational Mathematics of Artificial Intelligence	MTWThF 9:30AM - 4:00PM	Sukurdeep, Yashil	Hodson 303	Summer 2026	Description: As artificial intelligence models like ChatGPT become increasingly capable and part of our everyday life, the need to understand their inner workings intensifies. This course introduces the mathematical and statistical principles behind machine learning and AI technologies. Students will assimilate basic concepts including math models and performance measurement. They will apply software to build machine learning applications that serve as AI building blocks including linear regression, classification trees, neural networks, and reinforcement learning. Participants will be challenged to assess the quality of their analyses to better understand the opportunities for, and the limitations of AI. Credits: 1.00 Status: Open Seats Available: 2/24 Tags: n/a
AS.110.110 (77)	Foundational Mathematics of Artificial Intelligence	MTWThF 9:30AM - 4:00PM	Nakade, Apurva	Hodson 301	Summer 2026	Description: As artificial intelligence models like ChatGPT become increasingly capable and part of our everyday life, the need to understand their inner workings intensifies. This course introduces the mathematical and statistical principles behind machine learning and AI technologies. Students will assimilate basic concepts including math models and performance measurement. They will apply software to build machine learning applications that serve as AI building blocks including linear regression, classification trees, neural networks, and reinforcement learning. Participants will be challenged to assess the quality of their analyses to better understand the opportunities for, and the limitations of AI. Credits: 1.00 Status: Open Seats Available: 24/24 Tags: n/a
AS.110.111 (21)	Math Modelling: Exploring Mathematical Connections	MWF 1:00PM - 2:30PM	Ahmed, Mikail Yunus	Gilman 400	Summer 2026	Description: This course engages students in project-based modeling problems that draw on mathematical ideas from across Gateway mathematics, with an emphasis on probability. Students investigate uncertainty, variability, and decision-making through real-world contexts, using mathematics as a tool for reasoning and sense-making. The course emphasizes interpreting results, explaining mathematical thinking, and making connections across representations and contexts. Credits: 1.00 Status: Open Seats Available: 22/22 Tags: n/a
AS.110.111 (22)	Math Modelling: Exploring Functions Through Modeling	MWF 1:00PM - 2:30PM	Wentworth-Nice, Prairie	Hodson 210	Summer 2026	Description: This course engages students in project-based modeling problems centered on functions and their representations. Students work with multiple representations—graphical, numerical, algebraic, and contextual—to explore families of functions commonly encountered in Precalculus and introductory Calculus. The course emphasizes functional thinking, interpretation, and modeling as foundations for future calculus study, with a focus on how students approach mathematical problems. Credits: 1.00 Status: Open Seats Available: 44/44 Tags: n/a
AS.110.112 (94)	SPARK: Mathematics		Griffin, Catrish	Online	Summer 2026	Description: This Summer Program Advancing Readiness and Knowledge allows incoming students to work through learning modules in the preparation and learning platform ALEKS with the support of a near-peer network. Students will participate synchronously and asynchronously over a two-week period. Credits: 1.00 Status: Open Seats Available: 130/130 Tags: n/a
AS.110.125 (88)	Introduction to Data Analysis		Gaines, Alexa D	Online	Summer 2026	Description: This online course introduces students to important concepts in data analytics across a wide range of case studies. Students will learn how to gather, analyze, and interpret data to drive strategic and operational success. They will explore how to clean and organize data for analysis, and how to perform calculations using Microsoft Excel. Topics include the data science lifecycle, probability, statistics, hypothesis testing, set theory, graphing, regression, and data ethics. Credits: 4.00 Status: Open Seats Available: 94/100 Tags: n/a
AS.110.126 (21)	Mathematics for Sustainability	MTWTh 9:00AM - 11:30AM	Majure, Mitch James	Gilman 134	Summer 2026	Description: Mathematics for Sustainability covers topics in measurement, probability, statistics, dynamics, and data analysis. In this course, students will analyze, visually represent, and interpret large, real data sets from a variety of government, corporate, and non-profit sources. Through local and global case studies, students will engage in the mathematics behind environmental sustainability issues and the debates centered on them. Topics include climate change, natural resource use, waste production, air and water pollution, water scarcity, and decreasing biodiversity. The software package R is used throughout the semester. Credits: 4.00 Status: Open Seats Available: 5/16 Tags: n/a
AS.110.201 (11)	Linear Algebra	MTWTh 9:00AM - 11:30AM	Staff	Gilman 400	Summer 2026	Description: Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations. Credits: 4.00 Status: Canceled Seats Available: 24/24 Tags: ROBO-CMMA
AS.110.201 (88)	Linear Algebra		Marshburn, Nicholas A	Online	Summer 2026	Description: Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations. Credits: 4.00 Status: Open Seats Available: 76/100 Tags: ROBO-CMMA
AS.110.202 (21)	Calculus III	MTWTh 1:00PM - 3:30PM	Shumakovitch, Alexander N	Gilman 134	Summer 2026	Description: Calculus of Several Variables. Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem. Credits: 4.00 Status: Open Seats Available: 11/16 Tags: ROBO-CMMA
AS.110.202 (88)	Calculus III		Goldstein, Erich A	Online	Summer 2026	Description: Non-JHU students must register by June 1 in order to participate in the course. Calculus of Several Variables. Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem. Credits: 4.00 Status: Open Seats Available: 73/100 Tags: ROBO-CMMA
AS.110.204 (88)	Practical Mathematics for AI		Ali Yousuf, Muhammad	Online	Summer 2026	Description: This course provides a rigorous yet accessible introduction to the essential mathematical foundations underlying modern Artificial Intelligence (AI) and Deep Learning applications. The course emphasizes the practical application of linear algebra, probability, statistics, calculus, and optimization techniques in the design and understanding of machine learning systems. Students will explore how these core mathematical tools are used to build models for computer vision, regression, classification, clustering, and deep neural networks. Each topic is contextualized with real-world problems, Python Code, and bridging theory with implementation. The course is designed for students from diverse academic backgrounds who want to gain a solid foundation in mathematics for working with AI systems. Topics include: Vectors, matrices, and tensor operations; Calculus and gradient-based optimization for training neural networks; Probability theory and statistical inference in machine learning; Mathematical intuition behind computer vision, regression, classification, clustering, and deep neural networks with practical use cases. Credits: 4.00 Status: Canceled Seats Available: 50/50 Tags: ROBO-CMMA
AS.110.205 (88)	Mathematics of Data Science		Ratigan, Christopher J	Online	Summer 2026	Description: This course is designed for students of all backgrounds to provide a solid foundation in the underlying mathematical, programming, and statistical theory of data analysis. In today's data driven world, data literacy is an increasingly important skill to master. To this end, the course will motivate the fundamental concepts used in this growing field. While discussing the general theory behind common methods of data science there will be numerous applications to real world data sets. In particular, the course will use Python libraries to create, import, and analyze data sets. Credits: 4.00 Status: Open Seats Available: 23/30 Tags: n/a
AS.110.265 (88)	Statistics for Civic Life: Reasoning with Data in Democracy		Chasmar, Justine	Online	Summer 2026	Description: This course introduces students from all disciplines to the principles and practices of calculus-based statistics as a tool for understanding civic life. The course integrates foundational concepts from probability theory with statistical inference, emphasizing how probabilistic models underpin the construction of confidence intervals and hypothesis tests. Students develop fluency in describing, interpreting, and critically evaluating quantitative information found in public discourse, including polls, media reports, policy analyses, and scientific studies. Through a combination of theoretical development and hands-on data analysis, students learn to compute and interpret confidence intervals, conduct hypothesis tests, and assess uncertainty using probabilistic reasoning. Real-world case studies are used to connect formal statistical methods to questions arising in democratic society. Students will use R and other relevant software (e.g., Python) to analyze datasets, simulate probabilistic models, and communicate evidence-based conclusions. Credits: 4.00 Status: Open Seats Available: 47/50 Tags: n/a
AS.110.275 (88)	Introduction to Probability		Marshburn, Nicholas A	Online	Summer 2026	Description: This course follows the actuarial Exam P syllabus and learning objectives to prepare students to pass the SOA/CAS Probability Exam. Topics include axioms of probability, discrete and continuous random variables, conditional probability, Bayes’ theorem, Chebyshev's Theorem, Central Limit Theorem, univariate and joint distributions and expectations, loss frequency, loss severity and other risk management concepts. Exam P learning objectives and learning outcomes are emphasized. Recommended Course Background: Calculus II Credits: 4.00 Status: Canceled Seats Available: 100/100 Tags: n/a
AS.110.276 (88)	Introduction to Financial Mathematics		Belmonte, Alvaro Rafael	Online	Summer 2026	Description: This course is designed to develop students' understanding of fundamental concepts of financial mathematics. The course will cover mathematical theory and applications including the time value of money, annuities and cash flows, bond pricing, loans, amortization, stock and portfolio pricing, immunization of portfolios, swaps and determinants of interest rates, asset matching and convexity. A basic knowledge of calculus and an introductory knowledge of probability is assumed. Credits: 4.00 Status: Canceled Seats Available: 100/100 Tags: n/a
AS.110.301 (88)	Introduction to Proofs		Goldstein, Erich A	Online	Summer 2026	Description: This course will provide a practical introduction to mathematical proof, both as they have been done for centuries, and using a modern technological theorem prover. The course begins with the basic building blocks of mathematics: propositional logic, set theory, functions, and relations. These foundational tools lead to answers to questions that are surprisingly difficult, like “what are numbers?” Students will be exposed to mathematical notation and how to create it in digital documents, as well as an “artificially intelligent” proof assistant. The course will conclude with a consideration of the role of A.I. in pure mathematics, particularly as it applies to proofs. Credits: 4.00 Status: Open Seats Available: 44/50 Tags: n/a
AS.110.302 (88)	Differential Equations with Applications		Marshburn, Nicholas A	Online	Summer 2026	Description: This is a course in ordinary differential equations (ODEs), equations involving an unknown function of one independent variable and some of its derivatives, and is primarily a course in the study of the structure of and techniques for solving ODEs as mathematical models. Specific topics include first and second ODEs of various types, systems of linear differential equations, autonomous systems, and the qualitative and quantitative analysis of nonlinear systems of first-order ODEs. Laplace transforms, series solutions and the basics of numerical solutions are included as extra topics. Prerequisites: Grade of C- or better in 110.107 or 110.109 or 110.113, or a 5 on the AP BC exam. Area: Quantitative and Mathematical Sciences. Credits: 4.00 Status: Open Seats Available: 73/100 Tags: n/a
AS.110.303 (88)	The Mathematics of Politics, Democracy, and Social Choice		Ratigan, Christopher J	Online	Summer 2026	Description: This course is designed for students of all backgrounds to provide a mathematical introduction to social choice theory, weighted voting systems, apportionment methods, and gerrymandering. In the search for ideal ways to make certain kinds of political decisions, a lot of wasted effort could be averted if mathematics could determine that finding such an ideal were actually possible in the first place. The course will analyze data from recent US elections as well as provide historical context to modern discussions in politics, culminating in a mathematical analysis of the US Electoral College. Case studies, future implications, and comparisons to other governing bodies outside the US will be used to apply the theory of the course. Students will use Microsoft Excel to analyze data sets. There are no mathematical prerequisites for this course. Credits: 4.00 Status: Open Seats Available: 94/100 Tags: AGRI-ELECT
AS.110.304 (88)	Elementary Number Theory		Marshburn, Nicholas A	Online	Summer 2026	Description: The student is provided with many historical examples of topics, each of which serves as an illustration of and provides a background for many years of current research in number theory. Primes and prime factorization, congruences, Euler's function, quadratic reciprocity, primitive roots, solutions to polynomial congruences (Chevalley's theorem), Diophantine equations including the Pythagorean and Pell equations, Gaussian integers, Dirichlet's theorem on primes. Credits: 4.00 Status: Canceled Seats Available: 20/20 Tags: n/a
AS.110.311 (88)	Methods of Complex Analysis		Goldstein, Erich A	Online	Summer 2026	Description: This course is an introduction to the theory of functions of one complex variable. Its emphasis is on techniques and applications, and it serves as a basis for more advanced courses. Functions of a complex variable and their derivatives; power series and Laurent expansions; Cauchy integral theorem and formula; calculus of residues and contour integrals; harmonic functions. Credits: 4.00 Status: Canceled Seats Available: 50/50 Tags: n/a
AS.110.325 (88)	Introduction to Graph Theory and Combinatorics		Wright, Kayla	Online	Summer 2026	Description: This is a course in discrete mathematics that will introduce students to combinatorics, graph theory and optimization, with an emphasis on techniques of enumeration. This course will introduce the art of counting and the utility of representing objects as graphs. In particular, this course will focus on Enumeration Techniques = formalizing and developing techniques to count certain sets of objects using bijective proofs, generating functions, and the Principle of Inclusion/Exclusion; basics of graphs - defining graphs and investigating some of their properties such as existence of matchings and optimized matching algorithms, colorability, and topological embeddings; and applications of graphs in other areas of math and science such as probability, electrical networks, group theory and cryptography. Credits: 4.00 Status: Canceled Seats Available: 50/50 Tags: n/a
AS.110.376 (88)	The Mathematics of Cryptography and Cybersecurity		Ross, Lauren Elizabeth	Online	Summer 2026	Description: The Mathematics of Cryptography and Cybersecurity introduces students to the mathematical principles that secure digital communication in the modern world. The course focuses on the theory and construction of public-key cryptosystems and digital signature schemes, emphasizing the number-theoretic foundations of data security. Students will explore how mathematical ideas such as modular arithmetic, prime factorization, and discrete logarithms underpin real-world cybersecurity protocols including RSA, Diffie–Hellman key exchange, and elliptic curve cryptography. In addition to classical and modern cryptographic systems, the course highlights the role of mathematics in assessing vulnerabilities, analyzing security guarantees, and understanding emerging cryptographic challenges in cybersecurity. Topics include primality testing, factorization algorithms, probability and information theory, and collision resistance. This course offers a rigorous yet accessible path for students in mathematics and computer science to understand how abstract theory translates into the protection of information in a digital age. Credits: 4.00 Status: Open Seats Available: 22/25 Tags: n/a
AS.110.401 (88)	Introduction to Abstract Algebra		Marshburn, Nicholas A	Online	Summer 2026	Description: An introduction to the basic notions of modern abstract algebra and can serve as as Introduction to Proofs (IP) course. This course is an introduction to group theory, with an emphasis on concrete examples, and especially on geometric symmetry groups. The course will introduce basic notions (groups, subgroups, homomorphisms, quotients) and prove foundational results (Lagrange's theorem, Cauchy's theorem, orbit-counting techniques, the classification of finite abelian groups). Examples to be discussed include permutation groups, dihedral groups, matrix groups, and finite rotation groups, culminating in the classification of the wallpaper groups. Prerequisites: Grade of C- or better in 110.201 or 110.212 Area: Quantitative and Mathematical Sciences. Credits: 4.00 Status: Open Seats Available: 92/100 Tags: n/a
AS.110.405 (88)	Real Analysis I		Cutrone, Joseph W	Online	Summer 2026	Description: This course is designed to give a firm grounding in the basic tools of analysis. It is recommended as preparation (but may not be a prerequisite) for other advanced analysis courses and may be taken as an Introduction to Proofs (IP) course. Topics include the formal properties of real and complex number systems, topology of metric spaces, limits, continuity, infinite sequences and series, differentiation, Riemann-Stieltjes integration. Prerequisites: Grade of C- or better in 110.201 or 110.212 and 110.202 or 110.211 Credits: 4.00 Status: Open Seats Available: 79/100 Tags: n/a
AS.110.406 (88)	Real Analysis II		Cutrone, Joseph W	Online	Summer 2026	Description: This course continues AS.110.405 with an emphasis on the fundamental notions of modern analysis. Sequences and series of functions, Fourier series, equicontinuity and the Arzela-Ascoli theorem, the Stone-Weierstrass theorem, functions of several variables, the inverse and implicit function theorems, introduction to the Lebesgue integral. Credits: 4.00 Status: Open Seats Available: 96/100 Tags: n/a
AS.110.412 (88)	Honors Algebra II		Marshburn, Nicholas A	Online	Summer 2026	Description: This is a continuation of 110.411 Honors Algebra I. Topics studies include principal ideal domains, structure of finitely generated modules over them. Introduction to field theory. Linear algebra over a field. Field extensions, constructible polygons, non-trisectability. Splitting field of a polynomial, algebraic closure of a field. Galois theory: correspondence between subgroups and subfields. Solvability of polynomial equations by radicals. Prerequisites: Grade of C- or better in 110.201 or 110.212. Area: Quantitative and Mathematical Sciences. Credits: 4.00 Status: Canceled Seats Available: 50/50 Tags: n/a
AS.110.413 (88)	Introduction To Topology		Ross, Lauren Elizabeth	Online	Summer 2026	Description: Topological spaces, connectedness, compactness, quotient spaces, metric spaces, function spaces. An introduction to algebraic topology: covering spaces, the fundamental group, and other topics as time permits. Credits: 4.00 Status: Open Seats Available: 95/100 Tags: n/a
AS.110.430 (88)	Partial Differential Equations I		Marshall-Stevens, Kobe	Online	Summer 2026	Description: This course is the first in the sequence about the general theory of PDEs. The beginning of the course will describe several important results of functional analysis which are instrumental for the study of PDEs: Hahn-Banach theorem, Uniform boundedness and closed graph theorems, reflexive spaces and weak topologies. The topics covered include: theory of Sobolev spaces. Harmonic functions and their properties. Weyl theorem. General Elliptic operators. Existence theory for elliptic boundary value problems. Lax-Milgram theorem. Dirichlet principle. Fine properties of solutions of elliptic equations such as maximum principles, Harnack principles, Sobolev and H\"older regularity. Credits: 4.00 Status: Canceled Seats Available: 50/50 Tags: n/a
AS.110.432 (88)	Partial Differential Equations II		Marshall-Stevens, Kobe	Online	Summer 2026	Description: An introductory course in partial differential equations. Classical topics include first order equations and characteristics, the Cauchy-Kowalevski theorem, Laplace's equation, heat equation, wave equation, fundamental solutions, weak solutions, Sobolev spaces, maximum principles. The second term focuses on special topics such as second order elliptic theory. Credits: 4.00 Status: Canceled Seats Available: 50/50 Tags: n/a
AS.110.435 (88)	Introduction to Algebraic Geometry		Marshburn, Nicholas A	Online	Summer 2026	Description: Algebraic geometry studies zeros of polynomials in several variables and is based on the use of abstract algebraic techniques, mainly from commutative algebra, for solving geometric problems about these sets of zeros. The fundamental objects of study are algebraic varieties which are the geometric manifestations of solutions of systems of polynomial equations. Algebraic geometry occupies a central place in modern mathematics and has multiple conceptual connections with diverse fields such as complex analysis, topology and number theory. This course aims to provide to an undergraduate student majoring in mathematics the fundamental background to approach the study of algebraic geometry by providing the needed abstract knowledge also complemented by several examples and applications. Credits: 3.00 Status: Canceled Seats Available: 50/50 Tags: n/a
AS.001.141 (01)	FYS: The Art of Mathematics	MW 4:30PM - 5:45PM	Brown, Richard	Gilman 377	Fall 2026	Description: Mathematics is so much more that simply the language of science, or a set of techniques for solving quantitative-based problems. In fact, it is not a science at all, but an art, a construct of the imagination that not only provides structure to the reality of the world, but also gives form to anything and everything we can possibly imagine. Many of its fundamental principles and methods of employment are shared by artists of all types, from musicians to painters, sculptors, and poets. In this First-Year Seminar, we will explore these principles and methods shared by mathematicians and artists, like the notions of abstraction, metaphor, and pattern, the aesthetic quality both mathematicians and artists give to their work, the geometry of representation and visualization, the imagination as a tool of discovery and structure, and the use of mathematics in art, as well as the use of art in mathematics. Along the way, we will talk to artists and mathematicians, and hopefully visit the studios and galleries of each. Credits: 3.00 Status: Open Seats Available: 12/12 Tags: n/a
AS.001.184 (01)	FYS: The Mathematics of Politics, Democracy, and Social Choice	TTh 1:30PM - 2:45PM	Cutrone, Joseph W	Shriver Hall 001	Fall 2026	Description: This First-Year Seminar is designed for students of all backgrounds to provide a mathematical introduction to social choice theory, weighted voting systems, apportionment methods, and gerrymandering. In the search for ideal ways to make certain kinds of political decisions, a lot of wasted effort could be averted if mathematics could determine that finding such an ideal were actually possible in the first place. The seminar will analyze data from recent US elections as well as provide historical context to modern discussions in politics, culminating in a mathematical analysis of the US Electoral College. Case studies, future implications, and comparisons to other governing bodies outside the US will be used to apply the theory of the course. Students will use Microsoft Excel to analyze data sets. There are no mathematical prerequisites for this course. Credits: 3.00 Status: Open Seats Available: 12/12 Tags: AGRI-ELECT
AS.110.102 (88)	College Algebra		Gaines, Alexa D	Online	Fall 2026	Description: This introductory course will create a foundational understanding of topics in Algebra. An emphasis will be on applications to prepare students for future courses like Precalculus or Statistics. After a review of elementary algebra concepts, topics covered include: equations and inequalities, linear equations, exponents and polynomials, factoring, rational expressions and equations, relations and functions, radicals, linear and quadratic equations, higher-degree polynomials, exponential, logarithmic, and rational functions. Credits: 4.00 Status: Approval Required Seats Available: 100/100 Tags: n/a
AS.110.105 (01)	Precalculus	MWF 9:00AM - 9:50AM, T 4:30PM - 5:20PM	Staff	Hodson 211; Bloomberg 176	Fall 2026	Description: This course provides students with the background necessary for the study of calculus. It begins with a review of the coordinate plane, linear equations, and inequalities, and moves purposefully into the study of functions. Students will explore the nature of graphs and deepen their understanding of polynomial, rational, trigonometric, exponential, and logarithmic functions, and will be introduced to complex numbers, parametric equations, and the difference quotient. Credits: 4.00 Status: Open Seats Available: 29/30 Tags: n/a
AS.110.105 (88)	Precalculus		Gaines, Alexa D	Online	Fall 2026	Description: This course provides students with the background necessary for the study of calculus. It begins with a review of the coordinate plane, linear equations, and inequalities, and moves purposefully into the study of functions. Students will explore the nature of graphs and deepen their understanding of polynomial, rational, trigonometric, exponential, and logarithmic functions, and will be introduced to complex numbers, parametric equations, and the difference quotient. Credits: 4.00 Status: Approval Required Seats Available: 50/50 Tags: n/a
AS.110.106 (01)	Calculus I (Biology and Social Sciences)	MWF 10:00AM - 10:50AM, T 1:30PM - 2:20PM	Staff	Mudd 26; Gilman 17	Fall 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, introduction to differential equations, functions of several variables, linear systems, applications for systems of linear differential equations, probability distributions. Many applications to the biological and social sciences will be discussed. Credits: 4.00 Status: Open Seats Available: 29/30 Tags: ROBO-CMMA
AS.110.106 (02)	Calculus I (Biology and Social Sciences)	MWF 10:00AM - 10:50AM, T 3:00PM - 3:50PM	Staff	Mudd 26; Gilman 17	Fall 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, introduction to differential equations, functions of several variables, linear systems, applications for systems of linear differential equations, probability distributions. Many applications to the biological and social sciences will be discussed. Credits: 4.00 Status: Open Seats Available: 30/30 Tags: ROBO-CMMA
AS.110.106 (03)	Calculus I (Biology and Social Sciences)	MWF 10:00AM - 10:50AM, T 7:00PM - 7:50PM	Staff	Mudd 26; Gilman 17	Fall 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, introduction to differential equations, functions of several variables, linear systems, applications for systems of linear differential equations, probability distributions. Many applications to the biological and social sciences will be discussed. Credits: 4.00 Status: Open Seats Available: 28/30 Tags: ROBO-CMMA
AS.110.106 (04)	Calculus I (Biology and Social Sciences)	MWF 10:00AM - 10:50AM, Th 8:00AM - 8:50AM	Staff	Mudd 26; Gilman 17	Fall 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, introduction to differential equations, functions of several variables, linear systems, applications for systems of linear differential equations, probability distributions. Many applications to the biological and social sciences will be discussed. Credits: 4.00 Status: Open Seats Available: 30/30 Tags: ROBO-CMMA
AS.110.106 (05)	Calculus I (Biology and Social Sciences)	MWF 10:00AM - 10:50AM, Th 6:00PM - 6:50PM	Staff	Mudd 26; Gilman 17	Fall 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, introduction to differential equations, functions of several variables, linear systems, applications for systems of linear differential equations, probability distributions. Many applications to the biological and social sciences will be discussed. Credits: 4.00 Status: Open Seats Available: 29/30 Tags: ROBO-CMMA
AS.110.106 (06)	Calculus I (Biology and Social Sciences)	MWF 11:00AM - 11:50AM, T 4:30PM - 5:20PM	Wentworth-Nice, Prairie	Mudd 26; Gilman 17	Fall 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, introduction to differential equations, functions of several variables, linear systems, applications for systems of linear differential equations, probability distributions. Many applications to the biological and social sciences will be discussed. Credits: 4.00 Status: Open Seats Available: 29/30 Tags: ROBO-CMMA
AS.110.106 (07)	Calculus I (Biology and Social Sciences)	MWF 11:00AM - 11:50AM, T 6:00PM - 6:50PM	Wentworth-Nice, Prairie	Mudd 26; Gilman 17	Fall 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, introduction to differential equations, functions of several variables, linear systems, applications for systems of linear differential equations, probability distributions. Many applications to the biological and social sciences will be discussed. Credits: 4.00 Status: Open Seats Available: 30/30 Tags: ROBO-CMMA
AS.110.106 (08)	Calculus I (Biology and Social Sciences)	MWF 11:00AM - 11:50AM, Th 9:00AM - 9:50AM	Wentworth-Nice, Prairie	Mudd 26; Gilman 17	Fall 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, introduction to differential equations, functions of several variables, linear systems, applications for systems of linear differential equations, probability distributions. Many applications to the biological and social sciences will be discussed. Credits: 4.00 Status: Open Seats Available: 29/30 Tags: ROBO-CMMA
AS.110.106 (09)	Calculus I (Biology and Social Sciences)	MWF 11:00AM - 11:50AM, Th 1:30PM - 2:20PM	Wentworth-Nice, Prairie	Mudd 26; Gilman 17	Fall 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, introduction to differential equations, functions of several variables, linear systems, applications for systems of linear differential equations, probability distributions. Many applications to the biological and social sciences will be discussed. Credits: 4.00 Status: Open Seats Available: 27/30 Tags: ROBO-CMMA
AS.110.106 (10)	Calculus I (Biology and Social Sciences)	MWF 11:00AM - 11:50AM, Th 7:00PM - 7:50PM	Wentworth-Nice, Prairie	Mudd 26; Gilman 17	Fall 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, introduction to differential equations, functions of several variables, linear systems, applications for systems of linear differential equations, probability distributions. Many applications to the biological and social sciences will be discussed. Credits: 4.00 Status: Open Seats Available: 30/30 Tags: ROBO-CMMA
AS.110.106 (11)	Calculus I (Biology and Social Sciences)	MWF 11:00AM - 11:50AM, Th 3:00PM - 3:50PM	Wentworth-Nice, Prairie	Mudd 26; Gilman 17	Fall 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, introduction to differential equations, functions of several variables, linear systems, applications for systems of linear differential equations, probability distributions. Many applications to the biological and social sciences will be discussed. Credits: 4.00 Status: Open Seats Available: 29/30 Tags: ROBO-CMMA
AS.110.106 (12)	Calculus I (Biology and Social Sciences)	MWF 11:00AM - 11:50AM, Th 4:30PM - 5:20PM	Wentworth-Nice, Prairie	Mudd 26; Gilman 17	Fall 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, introduction to differential equations, functions of several variables, linear systems, applications for systems of linear differential equations, probability distributions. Many applications to the biological and social sciences will be discussed. Credits: 4.00 Status: Open Seats Available: 29/30 Tags: ROBO-CMMA
AS.110.106 (13)	Calculus I (Biology and Social Sciences)	MWF 11:00AM - 11:50AM, Th 6:00PM - 6:50PM	Wentworth-Nice, Prairie	Mudd 26; Hodson 216	Fall 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, introduction to differential equations, functions of several variables, linear systems, applications for systems of linear differential equations, probability distributions. Many applications to the biological and social sciences will be discussed. Credits: 4.00 Status: Open Seats Available: 30/30 Tags: ROBO-CMMA
AS.110.107 (01)	Calculus II (For Biological and Social Science)	MWF 10:00AM - 10:50AM, T 3:00PM - 3:50PM	Staff	Krieger 205; Hodson 315	Fall 2026	Description: Differential and integral Calculus. Includes analytic geometry, functions, limits, integrals and derivatives, introduction to differential equations, functions of several variables, linear systems, applications for systems of linear differential equations, probability distributions. Applications to the biological and social sciences will be discussed, and the courses are designed to meet the needs of students in these disciplines. Recommended Course Background: Grade of C- or Better in AS.110.106 or AS.110.108, or a 5 on the AP AB exam. Credits: 4.00 Status: Open Seats Available: 23/30 Tags: ROBO-CMMA
AS.110.107 (02)	Calculus II (For Biological and Social Science)	MWF 10:00AM - 10:50AM, T 4:30PM - 5:20PM	Staff	Krieger 205; Hodson 216	Fall 2026	Description: Differential and integral Calculus. Includes analytic geometry, functions, limits, integrals and derivatives, introduction to differential equations, functions of several variables, linear systems, applications for systems of linear differential equations, probability distributions. Applications to the biological and social sciences will be discussed, and the courses are designed to meet the needs of students in these disciplines. Recommended Course Background: Grade of C- or Better in AS.110.106 or AS.110.108, or a 5 on the AP AB exam. Credits: 4.00 Status: Open Seats Available: 19/30 Tags: ROBO-CMMA
AS.110.107 (03)	Calculus II (For Biological and Social Science)	MWF 10:00AM - 10:50AM, Th 1:30PM - 2:20PM	Staff	Krieger 205; Krieger 309	Fall 2026	Description: Differential and integral Calculus. Includes analytic geometry, functions, limits, integrals and derivatives, introduction to differential equations, functions of several variables, linear systems, applications for systems of linear differential equations, probability distributions. Applications to the biological and social sciences will be discussed, and the courses are designed to meet the needs of students in these disciplines. Recommended Course Background: Grade of C- or Better in AS.110.106 or AS.110.108, or a 5 on the AP AB exam. Credits: 4.00 Status: Open Seats Available: 24/30 Tags: ROBO-CMMA
AS.110.107 (04)	Calculus II (For Biological and Social Science)	MWF 10:00AM - 10:50AM, Th 4:30PM - 5:20PM	Staff	Krieger 205; Hodson 216	Fall 2026	Description: Differential and integral Calculus. Includes analytic geometry, functions, limits, integrals and derivatives, introduction to differential equations, functions of several variables, linear systems, applications for systems of linear differential equations, probability distributions. Applications to the biological and social sciences will be discussed, and the courses are designed to meet the needs of students in these disciplines. Recommended Course Background: Grade of C- or Better in AS.110.106 or AS.110.108, or a 5 on the AP AB exam. Credits: 4.00 Status: Open Seats Available: 29/30 Tags: ROBO-CMMA
AS.110.108 (01)	Calculus I (Physical Sciences & Engineering)	MWF 10:00AM - 10:50AM, T 6:00PM - 6:50PM	Marshall-Stevens, Kobe	Olin 305; Hodson 216	Fall 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, polar coordinates, parametric equations, Taylor's theorem and applications, infinite sequences and series. Some applications to the physical sciences and engineering will be discussed, and the courses are designed to meet the needs of students in these disciplines. Credits: 4.00 Status: Open Seats Available: 30/30 Tags: ROBO-CMMA
AS.110.108 (02)	Calculus I (Physical Sciences & Engineering)	MWF 10:00AM - 10:50AM, Th 4:30PM - 5:20PM	Marshall-Stevens, Kobe	Olin 305; Hodson 315	Fall 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, polar coordinates, parametric equations, Taylor's theorem and applications, infinite sequences and series. Some applications to the physical sciences and engineering will be discussed, and the courses are designed to meet the needs of students in these disciplines. Credits: 4.00 Status: Open Seats Available: 29/30 Tags: ROBO-CMMA
AS.110.108 (03)	Calculus I (Physical Sciences & Engineering)	MWF 10:00AM - 10:50AM, T 4:30PM - 5:20PM	Marshall-Stevens, Kobe	Olin 305; Hodson 315	Fall 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, polar coordinates, parametric equations, Taylor's theorem and applications, infinite sequences and series. Some applications to the physical sciences and engineering will be discussed, and the courses are designed to meet the needs of students in these disciplines. Credits: 4.00 Status: Open Seats Available: 30/30 Tags: ROBO-CMMA
AS.110.108 (04)	Calculus I (Physical Sciences & Engineering)	MWF 11:00AM - 11:50AM, Th 6:00PM - 6:50PM	Marshall-Stevens, Kobe	Olin 305; Hodson 315	Fall 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, polar coordinates, parametric equations, Taylor's theorem and applications, infinite sequences and series. Some applications to the physical sciences and engineering will be discussed, and the courses are designed to meet the needs of students in these disciplines. Credits: 4.00 Status: Open Seats Available: 28/28 Tags: ROBO-CMMA
AS.110.108 (05)	Calculus I (Physical Sciences & Engineering)	MWF 11:00AM - 11:50AM, T 6:00PM - 6:50PM	Marshall-Stevens, Kobe	Olin 305; Hodson 315	Fall 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, polar coordinates, parametric equations, Taylor's theorem and applications, infinite sequences and series. Some applications to the physical sciences and engineering will be discussed, and the courses are designed to meet the needs of students in these disciplines. Credits: 4.00 Status: Open Seats Available: 28/28 Tags: ROBO-CMMA
AS.110.108 (06)	Calculus I (Physical Sciences & Engineering)	MWF 11:00AM - 11:50AM, Th 4:30PM - 5:20PM	Marshall-Stevens, Kobe	Olin 305; Hodson 211	Fall 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, polar coordinates, parametric equations, Taylor's theorem and applications, infinite sequences and series. Some applications to the physical sciences and engineering will be discussed, and the courses are designed to meet the needs of students in these disciplines. Credits: 4.00 Status: Open Seats Available: 26/28 Tags: ROBO-CMMA
AS.110.108 (07)	Calculus I (Physical Sciences & Engineering)	MWF 11:00AM - 11:50AM, Th 6:00PM - 6:50PM	Marshall-Stevens, Kobe	Olin 305; Shaffer 002	Fall 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, polar coordinates, parametric equations, Taylor's theorem and applications, infinite sequences and series. Some applications to the physical sciences and engineering will be discussed, and the courses are designed to meet the needs of students in these disciplines. Credits: 4.00 Status: Open Seats Available: 27/28 Tags: ROBO-CMMA
AS.110.108 (88)	Calculus I (Physical Sciences & Engineering)		Clayton, Amanda M	Online	Fall 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, polar coordinates, parametric equations, Taylor's theorem and applications, infinite sequences and series. Some applications to the physical sciences and engineering will be discussed, and the courses are designed to meet the needs of students in these disciplines. Credits: 4.00 Status: Approval Required Seats Available: 49/50 Tags: ROBO-CMMA
AS.110.109 (01)	Calculus II (For Physical Sciences and Engineering)	MWF 10:00AM - 10:50AM, T 9:00AM - 9:50AM	Stufflebeam, Hunter Alexander	Hackerman B 17; Hodson 315	Fall 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, polar coordinates, parametric equations, Taylor's theorem and applications, infinite sequences and series. Some applications to the physical sciences and engineering will be discussed, and the courses are designed to meet the needs of students in these disciplines. Recommended Course Background: Grade of C- or Better in AS.110.106 or AS.110.108, or a 5 on the AP AB exam. Credits: 4.00 Status: Open Seats Available: 29/30 Tags: ROBO-CMMA
AS.110.109 (02)	Calculus II (For Physical Sciences and Engineering)	MWF 10:00AM - 10:50AM, T 7:00PM - 7:50PM	Stufflebeam, Hunter Alexander	Hackerman B 17; Hodson 216	Fall 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, polar coordinates, parametric equations, Taylor's theorem and applications, infinite sequences and series. Some applications to the physical sciences and engineering will be discussed, and the courses are designed to meet the needs of students in these disciplines. Recommended Course Background: Grade of C- or Better in AS.110.106 or AS.110.108, or a 5 on the AP AB exam. Credits: 4.00 Status: Open Seats Available: 30/30 Tags: ROBO-CMMA
AS.110.109 (03)	Calculus II (For Physical Sciences and Engineering)	MWF 10:00AM - 10:50AM, Th 4:30PM - 5:20PM	Stufflebeam, Hunter Alexander	Hackerman B 17; Gilman 119	Fall 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, polar coordinates, parametric equations, Taylor's theorem and applications, infinite sequences and series. Some applications to the physical sciences and engineering will be discussed, and the courses are designed to meet the needs of students in these disciplines. Recommended Course Background: Grade of C- or Better in AS.110.106 or AS.110.108, or a 5 on the AP AB exam. Credits: 4.00 Status: Open Seats Available: 29/30 Tags: ROBO-CMMA
AS.110.109 (04)	Calculus II (For Physical Sciences and Engineering)	MWF 11:00AM - 11:50AM, Th 6:00PM - 6:50PM	Stufflebeam, Hunter Alexander	Krieger 205; Gilman 119	Fall 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, polar coordinates, parametric equations, Taylor's theorem and applications, infinite sequences and series. Some applications to the physical sciences and engineering will be discussed, and the courses are designed to meet the needs of students in these disciplines. Recommended Course Background: Grade of C- or Better in AS.110.106 or AS.110.108, or a 5 on the AP AB exam. Credits: 4.00 Status: Open Seats Available: 29/30 Tags: ROBO-CMMA
AS.110.109 (05)	Calculus II (For Physical Sciences and Engineering)	MWF 11:00AM - 11:50AM, Th 8:00AM - 8:50AM	Stufflebeam, Hunter Alexander	Krieger 205; Hodson 315	Fall 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, polar coordinates, parametric equations, Taylor's theorem and applications, infinite sequences and series. Some applications to the physical sciences and engineering will be discussed, and the courses are designed to meet the needs of students in these disciplines. Recommended Course Background: Grade of C- or Better in AS.110.106 or AS.110.108, or a 5 on the AP AB exam. Credits: 4.00 Status: Open Seats Available: 27/30 Tags: ROBO-CMMA
AS.110.109 (06)	Calculus II (For Physical Sciences and Engineering)	MWF 11:00AM - 11:50AM, Th 6:00PM - 6:50PM	Stufflebeam, Hunter Alexander	Krieger 205; Bloomberg 176	Fall 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, polar coordinates, parametric equations, Taylor's theorem and applications, infinite sequences and series. Some applications to the physical sciences and engineering will be discussed, and the courses are designed to meet the needs of students in these disciplines. Recommended Course Background: Grade of C- or Better in AS.110.106 or AS.110.108, or a 5 on the AP AB exam. Credits: 4.00 Status: Open Seats Available: 30/30 Tags: ROBO-CMMA
AS.110.109 (07)	Calculus II (For Physical Sciences and Engineering)	MWF 11:00AM - 11:50AM, Th 4:30PM - 5:20PM	Stufflebeam, Hunter Alexander	Krieger 205; Krieger 309	Fall 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, polar coordinates, parametric equations, Taylor's theorem and applications, infinite sequences and series. Some applications to the physical sciences and engineering will be discussed, and the courses are designed to meet the needs of students in these disciplines. Recommended Course Background: Grade of C- or Better in AS.110.106 or AS.110.108, or a 5 on the AP AB exam. Credits: 4.00 Status: Open Seats Available: 29/30 Tags: ROBO-CMMA
AS.110.109 (08)	Calculus II (For Physical Sciences and Engineering)	MWF 11:00AM - 11:50AM, Th 6:00PM - 6:50PM	Stufflebeam, Hunter Alexander	Krieger 205; Krieger 309	Fall 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, polar coordinates, parametric equations, Taylor's theorem and applications, infinite sequences and series. Some applications to the physical sciences and engineering will be discussed, and the courses are designed to meet the needs of students in these disciplines. Recommended Course Background: Grade of C- or Better in AS.110.106 or AS.110.108, or a 5 on the AP AB exam. Credits: 4.00 Status: Open Seats Available: 30/30 Tags: ROBO-CMMA
AS.110.109 (88)	Calculus II (For Physical Sciences and Engineering)		Cutrone, Joseph W	Online	Fall 2026	Description: Differential and integral calculus. Includes analytic geometry, functions, limits, integrals and derivatives, polar coordinates, parametric equations, Taylor's theorem and applications, infinite sequences and series. Some applications to the physical sciences and engineering will be discussed, and the courses are designed to meet the needs of students in these disciplines. Recommended Course Background: Grade of C- or Better in AS.110.106 or AS.110.108, or a 5 on the AP AB exam. Credits: 4.00 Status: Approval Required Seats Available: 49/50 Tags: ROBO-CMMA
AS.110.113 (01)	Honors Single Variable Calculus	MW 4:30PM - 5:45PM, F 4:30PM - 5:20PM	Staff	Bloomberg 178; Hodson 305	Fall 2026	Description: This is an honors alternative to the Calculus sequences AS.110.106-AS.110.107 or AS.110.108-AS.110.109 and meets the general requirement for both Calculus I and Calculus II (although the credit hours count for only one course). It is a more theoretical treatment of one variable differential and integral calculus and is based on our modern understanding of the real number system as explained by Cantor, Dedekind, and Weierstrass. Students who want to know the "why's and how's" of Calculus will find this course rewarding. Previous background in Calculus is not assumed. Students will learn differential Calculus (derivatives, differentiation, chain rule, optimization, related rates, etc), the theory of integration, the fundamental theorem(s) of Calculus, applications of integration, and Taylor series. Students should have a strong ability to learn mathematics quickly and on a higher level than that of the regular Calculus sequences. Credits: 4.00 Status: Open Seats Available: 15/15 Tags: n/a
AS.110.125 (88)	Introduction to Data Analysis		Gaines, Alexa D	Online	Fall 2026	Description: This course introduces students to important concepts in data analytics using a hands-on analysis through case studies. Students will learn how to gather, analyze, and interpret data to drive strategic and operational success. Students will explore how to clean and organize data for analysis and how to perform calculations using spreadsheets, SQL and R programming. Topics include the data lifecycle, probability, statistics, hypothesis testing, set theory, graphing, regression, and data ethics. Credits: 4.00 Status: Approval Required Seats Available: 50/50 Tags: n/a
AS.110.201 (01)	Linear Algebra	MWF 10:00AM - 10:50AM, T 6:00PM - 6:50PM	Wright, Kayla	Shaffer 3; Bloomberg 168	Fall 2026	Description: Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations. Credits: 4.00 Status: Open Seats Available: 9/24 Tags: ROBO-CMMA
AS.110.201 (02)	Linear Algebra	MWF 10:00AM - 10:50AM, T 7:00PM - 7:50PM	Wright, Kayla	Shaffer 3; Hodson 315	Fall 2026	Description: Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations. Credits: 4.00 Status: Open Seats Available: 16/24 Tags: ROBO-CMMA
AS.110.201 (03)	Linear Algebra	MWF 10:00AM - 10:50AM, Th 8:00AM - 8:50AM	Wright, Kayla	Shaffer 3; Maryland 104	Fall 2026	Description: Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations. Credits: 4.00 Status: Open Seats Available: 13/24 Tags: ROBO-CMMA
AS.110.201 (04)	Linear Algebra	MWF 10:00AM - 10:50AM, Th 3:00PM - 3:50PM	Wright, Kayla	Shaffer 3; Maryland 114	Fall 2026	Description: Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations. Credits: 4.00 Status: Open Seats Available: 8/24 Tags: ROBO-CMMA
AS.110.201 (05)	Linear Algebra	MWF 10:00AM - 10:50AM, Th 4:30PM - 5:20PM	Wright, Kayla	Shaffer 3; Bloomberg 176	Fall 2026	Description: Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations. Credits: 4.00 Status: Open Seats Available: 11/24 Tags: ROBO-CMMA
AS.110.201 (06)	Linear Algebra	MWF 10:00AM - 10:50AM, Th 7:00PM - 7:50PM	Wright, Kayla	Shaffer 3; Hodson 216	Fall 2026	Description: Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations. Credits: 4.00 Status: Open Seats Available: 17/24 Tags: ROBO-CMMA
AS.110.201 (88)	Linear Algebra		Marshburn, Nicholas A	Online	Fall 2026	Description: Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations. Credits: 4.00 Status: Approval Required Seats Available: 99/100 Tags: ROBO-CMMA
AS.110.202 (01)	Calculus III	MWF 11:00AM - 11:50AM, T 9:00AM - 9:50AM	Shumakovitch, Alexander N	Shaffer 3; Bloomberg 278	Fall 2026	Description: Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem. Credits: 4.00 Status: Open Seats Available: 20/24 Tags: ROBO-CMMA
AS.110.202 (02)	Calculus III	MWF 11:00AM - 11:50AM, T 1:30PM - 2:20PM	Shumakovitch, Alexander N	Shaffer 3; Bloomberg 274	Fall 2026	Description: Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem. Credits: 4.00 Status: Open Seats Available: 10/24 Tags: ROBO-CMMA
AS.110.202 (03)	Calculus III	MWF 11:00AM - 11:50AM, T 3:00PM - 3:50PM	Shumakovitch, Alexander N	Shaffer 3; Gilman 119	Fall 2026	Description: Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem. Credits: 4.00 Status: Open Seats Available: 14/24 Tags: ROBO-CMMA
AS.110.202 (04)	Calculus III	MWF 11:00AM - 11:50AM, T 4:30PM - 5:20PM	Shumakovitch, Alexander N	Shaffer 3; Gilman 119	Fall 2026	Description: Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem. Credits: 4.00 Status: Open Seats Available: 15/24 Tags: ROBO-CMMA
AS.110.202 (05)	Calculus III	MWF 11:00AM - 11:50AM, Th 9:00AM - 9:50AM	Shumakovitch, Alexander N	Shaffer 3; Bloomberg 278	Fall 2026	Description: Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem. Credits: 4.00 Status: Open Seats Available: 23/24 Tags: ROBO-CMMA
AS.110.202 (06)	Calculus III	MWF 11:00AM - 11:50AM, Th 3:00PM - 3:50PM	Shumakovitch, Alexander N	Shaffer 3; Gilman 119	Fall 2026	Description: Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem. Credits: 4.00 Status: Open Seats Available: 19/24 Tags: ROBO-CMMA
AS.110.202 (07)	Calculus III	MWF 11:00AM - 11:50AM, Th 6:00PM - 6:50PM	Shumakovitch, Alexander N	Shaffer 3; Bloomberg 278	Fall 2026	Description: Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem. Credits: 4.00 Status: Open Seats Available: 22/24 Tags: ROBO-CMMA
AS.110.202 (08)	Calculus III	MWF 11:00AM - 11:50AM, Th 7:00PM - 7:50PM	Shumakovitch, Alexander N	Shaffer 3; Gilman 119	Fall 2026	Description: Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem. Credits: 4.00 Status: Open Seats Available: 22/24 Tags: ROBO-CMMA
AS.110.202 (09)	Calculus III	MWF 12:00PM - 12:50PM, Th 8:00AM - 8:50AM	Staff	Shaffer 3; Hodson 203	Fall 2026	Description: Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem. Credits: 4.00 Status: Open Seats Available: 18/24 Tags: ROBO-CMMA
AS.110.202 (10)	Calculus III	MWF 12:00PM - 12:50PM, T 3:00PM - 3:50PM	Staff	Shaffer 3; Bloomberg 168	Fall 2026	Description: Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem. Credits: 4.00 Status: Open Seats Available: 20/24 Tags: ROBO-CMMA
AS.110.202 (11)	Calculus III	MWF 12:00PM - 12:50PM, T 6:00PM - 6:50PM	Staff	Shaffer 3; Gilman 119	Fall 2026	Description: Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem. Credits: 4.00 Status: Open Seats Available: 20/24 Tags: ROBO-CMMA
AS.110.202 (12)	Calculus III	MWF 12:00PM - 12:50PM, T 7:00PM - 7:50PM	Staff	Shaffer 3; Gilman 119	Fall 2026	Description: Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem. Credits: 4.00 Status: Open Seats Available: 19/24 Tags: ROBO-CMMA
AS.110.202 (13)	Calculus III	MWF 12:00PM - 12:50PM, Th 3:00PM - 3:50PM	Staff	Shaffer 3; Bloomberg 168	Fall 2026	Description: Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem. Credits: 4.00 Status: Open Seats Available: 13/24 Tags: ROBO-CMMA
AS.110.202 (14)	Calculus III	MWF 12:00PM - 12:50PM, Th 7:00PM - 7:50PM	Staff	Shaffer 3; Hodson 315	Fall 2026	Description: Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem. Credits: 4.00 Status: Open Seats Available: 16/24 Tags: ROBO-CMMA
AS.110.202 (88)	Calculus III		Goldstein, Erich A	Online	Fall 2026	Description: Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem. Credits: 4.00 Status: Approval Required Seats Available: 100/100 Tags: ROBO-CMMA
AS.110.204 (88)	Practical Mathematics for AI		Ali Yousuf, Muhammad	Online	Fall 2026	Description: This course provides a rigorous yet accessible introduction to the essential mathematical foundations underlying modern Artificial Intelligence (AI) and Deep Learning applications. The course emphasizes the practical application of linear algebra, probability, statistics, calculus, and optimization techniques in the design and understanding of machine learning systems. Students will explore how these core mathematical tools are used to build models for computer vision, regression, classification, clustering, and deep neural networks. Each topic is contextualized with real-world problems, Python Code, and bridging theory with implementation. The course is designed for students from diverse academic backgrounds who want to gain a solid foundation in mathematics for working with AI systems. Topics include: Vectors, matrices, and tensor operations; Calculus and gradient-based optimization for training neural networks; Probability theory and statistical inference in machine learning; Mathematical intuition behind computer vision, regression, classification, clustering, and deep neural networks with practical use cases. Credits: 4.00 Status: Approval Required Seats Available: 25/25 Tags: n/a
AS.110.205 (88)	Mathematics of Data Science		Ratigan, Christopher J	Online	Fall 2026	Description: This course is designed for students of all backgrounds to provide a solid foundation in the underlying mathematical, programming, and statistical theory of data analysis. In today's data driven world, data literacy is an increasingly important skill to master. To this end, the course will motivate the fundamental concepts used in this growing field. While discussing the general theory behind common methods of data science there will be numerous applications to real world data sets. In particular, the course will use Python libraries to create, import, and analyze data sets. Credits: 4.00 Status: Approval Required Seats Available: 25/25 Tags: n/a
AS.110.212 (01)	Honors Linear Algebra	MW 1:30PM - 2:45PM, F 1:30PM - 2:20PM	Im, Mee Seong	Hodson 315; Hodson 315	Fall 2026	Description: This course includes the material in AS.110.201 with additional applications and theory, and is recommended only for mathematically able students majoring in physical science, engineering, or mathematics who are interested in a proof-based version of linear algebra. This course can serve as an Introduction to Proofs (IP) course. Prerequisites: Grade of B+ or better in 110.107 or 110.109 or 110.113, or a 5 on the AP BC exam. Area: Quantitative and Mathematical Sciences. Credits: 4.00 Status: Open Seats Available: 27/30 Tags: ROBO-CMMA
AS.110.265 (88)	Statistics for Civic Life: Reasoning with Data in Democracy		Chasmar, Justine	Online	Fall 2026	Description: This course introduces students from all disciplines to the principles and practices of calculus-based statistics as a tool for understanding civic life. The course integrates foundational concepts from probability theory with statistical inference, emphasizing how probabilistic models underpin the construction of confidence intervals and hypothesis tests. Students develop fluency in describing, interpreting, and critically evaluating quantitative information found in public discourse, including polls, media reports, policy analyses, and scientific studies. Through a combination of theoretical development and hands-on data analysis, students learn to compute and interpret confidence intervals, conduct hypothesis tests, and assess uncertainty using probabilistic reasoning. Real-world case studies are used to connect formal statistical methods to questions arising in democratic society. Students will use R and other relevant software (e.g., Python) to analyze datasets, simulate probabilistic models, and communicate evidence-based conclusions. Credits: 4.00 Status: Approval Required Seats Available: 25/25 Tags: n/a
AS.110.275 (88)	Introduction to Probability		Marshburn, Nicholas A	Online	Fall 2026	Description: This course follows the actuarial Exam P syllabus and learning objectives to prepare students to pass the SOA/CAS Probability Exam. Topics include axioms of probability, discrete and continuous random variables, conditional probability, Bayes’ theorem, Chebyshev's Theorem, Central Limit Theorem, univariate and joint distributions and expectations, loss frequency, loss severity and other risk management concepts. Exam P learning objectives and learning outcomes are emphasized. Recommended Course Background: Calculus II Credits: 4.00 Status: Approval Required Seats Available: 100/100 Tags: n/a
AS.110.301 (01)	Introduction to Proofs	MW 3:00PM - 4:15PM, F 3:00PM - 3:50PM	Wentworth-Nice, Prairie	Maryland 217; Maryland 104	Fall 2026	Description: This course will provide a practical introduction to mathematical proof, both as they have been done for centuries, and using a modern technological theorem prover. The course begins with the basic building blocks of mathematics: propositional logic, set theory, functions, and relations. These foundational tools lead to answers to questions that are surprisingly difficult, like “what are numbers?” Students will be exposed to mathematical notation and how to create it in digital documents, as well as an “artificially intelligent” proof assistant. The course will conclude with a consideration of the role of A.I. in pure mathematics, particularly as it applies to proofs. Credits: 4.00 Status: Open Seats Available: 22/24 Tags: n/a
AS.110.301 (88)	Introduction to Proofs		Goldstein, Erich A	Online	Fall 2026	Description: This course will provide a practical introduction to mathematical proof, both as they have been done for centuries, and using a modern technological theorem prover. The course begins with the basic building blocks of mathematics: propositional logic, set theory, functions, and relations. These foundational tools lead to answers to questions that are surprisingly difficult, like “what are numbers?” Students will be exposed to mathematical notation and how to create it in digital documents, as well as an “artificially intelligent” proof assistant. The course will conclude with a consideration of the role of A.I. in pure mathematics, particularly as it applies to proofs. Credits: 4.00 Status: Approval Required Seats Available: 50/50 Tags: n/a
AS.110.302 (01)	Differential Equations and Applications	MWF 12:00PM - 12:50PM, T 1:30PM - 2:20PM	Staff	Krieger 205; Krieger 205	Fall 2026	Description: This is a course in ordinary differential equations (ODEs), equations involving an unknown function of one independent variable and some of its derivatives, and is primarily a course in the study of the structure of and techniques for solving ODEs as mathematical models. Specific topics include first and second ODEs of various types, systems of linear differential equations, autonomous systems, and the qualitative and quantitative analysis of nonlinear systems of first-order ODEs. Laplace transforms, series solutions and the basics of numerical solutions are included as extra topics. Prerequisites: Grade of C- or better in 110.107 or 110.109 or 110.113, or a 5 on the AP BC exam. Area: Quantitative and Mathematical Sciences. Credits: 4.00 Status: Waitlist Only Seats Available: 0/24 Tags: n/a
AS.110.302 (02)	Differential Equations and Applications	MWF 12:00PM - 12:50PM, Th 1:30PM - 2:20PM	Staff	Krieger 205; Bloomberg 168	Fall 2026	Description: This is a course in ordinary differential equations (ODEs), equations involving an unknown function of one independent variable and some of its derivatives, and is primarily a course in the study of the structure of and techniques for solving ODEs as mathematical models. Specific topics include first and second ODEs of various types, systems of linear differential equations, autonomous systems, and the qualitative and quantitative analysis of nonlinear systems of first-order ODEs. Laplace transforms, series solutions and the basics of numerical solutions are included as extra topics. Prerequisites: Grade of C- or better in 110.107 or 110.109 or 110.113, or a 5 on the AP BC exam. Area: Quantitative and Mathematical Sciences. Credits: 4.00 Status: Waitlist Only Seats Available: 0/24 Tags: n/a
AS.110.302 (03)	Differential Equations and Applications	MWF 12:00PM - 12:50PM, Th 6:00PM - 6:50PM	Staff	Krieger 205; Bloomberg 274	Fall 2026	Description: This is a course in ordinary differential equations (ODEs), equations involving an unknown function of one independent variable and some of its derivatives, and is primarily a course in the study of the structure of and techniques for solving ODEs as mathematical models. Specific topics include first and second ODEs of various types, systems of linear differential equations, autonomous systems, and the qualitative and quantitative analysis of nonlinear systems of first-order ODEs. Laplace transforms, series solutions and the basics of numerical solutions are included as extra topics. Prerequisites: Grade of C- or better in 110.107 or 110.109 or 110.113, or a 5 on the AP BC exam. Area: Quantitative and Mathematical Sciences. Credits: 4.00 Status: Waitlist Only Seats Available: 0/24 Tags: n/a
AS.110.302 (04)	Differential Equations and Applications	MWF 1:30PM - 2:20PM, T 1:30PM - 2:20PM	Brown, Richard	Remsen Hall 101; Bloomberg 176	Fall 2026	Description: This is a course in ordinary differential equations (ODEs), equations involving an unknown function of one independent variable and some of its derivatives, and is primarily a course in the study of the structure of and techniques for solving ODEs as mathematical models. Specific topics include first and second ODEs of various types, systems of linear differential equations, autonomous systems, and the qualitative and quantitative analysis of nonlinear systems of first-order ODEs. Laplace transforms, series solutions and the basics of numerical solutions are included as extra topics. Prerequisites: Grade of C- or better in 110.107 or 110.109 or 110.113, or a 5 on the AP BC exam. Area: Quantitative and Mathematical Sciences. Credits: 4.00 Status: Open Seats Available: 1/26 Tags: n/a
AS.110.302 (05)	Differential Equations and Applications	MWF 1:30PM - 2:20PM, Th 3:00PM - 3:50PM	Brown, Richard	Remsen Hall 101; Krieger 309	Fall 2026	Description: This is a course in ordinary differential equations (ODEs), equations involving an unknown function of one independent variable and some of its derivatives, and is primarily a course in the study of the structure of and techniques for solving ODEs as mathematical models. Specific topics include first and second ODEs of various types, systems of linear differential equations, autonomous systems, and the qualitative and quantitative analysis of nonlinear systems of first-order ODEs. Laplace transforms, series solutions and the basics of numerical solutions are included as extra topics. Prerequisites: Grade of C- or better in 110.107 or 110.109 or 110.113, or a 5 on the AP BC exam. Area: Quantitative and Mathematical Sciences. Credits: 4.00 Status: Waitlist Only Seats Available: 0/24 Tags: n/a
AS.110.302 (06)	Differential Equations and Applications	MWF 1:30PM - 2:20PM, Th 6:00PM - 6:50PM	Brown, Richard	Remsen Hall 101; Bloomberg 168	Fall 2026	Description: This is a course in ordinary differential equations (ODEs), equations involving an unknown function of one independent variable and some of its derivatives, and is primarily a course in the study of the structure of and techniques for solving ODEs as mathematical models. Specific topics include first and second ODEs of various types, systems of linear differential equations, autonomous systems, and the qualitative and quantitative analysis of nonlinear systems of first-order ODEs. Laplace transforms, series solutions and the basics of numerical solutions are included as extra topics. Prerequisites: Grade of C- or better in 110.107 or 110.109 or 110.113, or a 5 on the AP BC exam. Area: Quantitative and Mathematical Sciences. Credits: 4.00 Status: Open Seats Available: 13/24 Tags: n/a
AS.110.302 (88)	Differential Equations and Applications		Marshburn, Nicholas A	Online	Fall 2026	Description: This is a course in ordinary differential equations (ODEs), equations involving an unknown function of one independent variable and some of its derivatives, and is primarily a course in the study of the structure of and techniques for solving ODEs as mathematical models. Specific topics include first and second ODEs of various types, systems of linear differential equations, autonomous systems, and the qualitative and quantitative analysis of nonlinear systems of first-order ODEs. Laplace transforms, series solutions and the basics of numerical solutions are included as extra topics. Prerequisites: Grade of C- or better in 110.107 or 110.109 or 110.113, or a 5 on the AP BC exam. Area: Quantitative and Mathematical Sciences. Credits: 4.00 Status: Approval Required Seats Available: 100/100 Tags: n/a
AS.110.303 (88)	The Mathematics of Politics, Democracy, and Social Choice		Ratigan, Christopher J	Online	Fall 2026	Description: This course is designed for students of all backgrounds to provide a mathematical introduction to social choice theory, weighted voting systems, apportionment methods, and gerrymandering. In the search for ideal ways to make certain kinds of political decisions, a lot of wasted effort could be averted if mathematics could determine that finding such an ideal were actually possible in the first place. The course will analyze data from recent US elections as well as provide historical context to modern discussions in politics, culminating in a mathematical analysis of the US Electoral College. Case studies, future implications, and comparisons to other governing bodies outside the US will be used to apply the theory of the course. Students will use Microsoft Excel to analyze data sets. There are no mathematical prerequisites for this course. Credits: 4.00 Status: Open Seats Available: 2/25 Tags: AGRI-ELECT
AS.110.304 (01)	Elementary Number Theory	TTh 9:00AM - 10:15AM, F 9:00AM - 9:50AM	Staff	Shriver Hall 104; Krieger 307	Fall 2026	Description: The student is provided with many historical examples of topics, each of which serves as an illustration of and provides a background for many years of current research in number theory. Primes and prime factorization, congruences, Euler's function, quadratic reciprocity, primitive roots, solutions to polynomial congruences (Chevalley's theorem), Diophantine equations including the Pythagorean and Pell equations, Gaussian integers, Dirichlet's theorem on primes. Credits: 4.00 Status: Open Seats Available: 11/19 Tags: n/a
AS.110.304 (88)	Elementary Number Theory		Marshburn, Nicholas A	Online	Fall 2026	Description: The student is provided with many historical examples of topics, each of which serves as an illustration of and provides a background for many years of current research in number theory. Primes and prime factorization, congruences, Euler's function, quadratic reciprocity, primitive roots, solutions to polynomial congruences (Chevalley's theorem), Diophantine equations including the Pythagorean and Pell equations, Gaussian integers, Dirichlet's theorem on primes. Credits: 4.00 Status: Approval Required Seats Available: 50/50 Tags: n/a
AS.110.311 (01)	Methods of Complex Analysis	TTh 12:00PM - 1:15PM, Th 4:30PM - 5:20PM	Corato Zanarella, Murilo; Staff	Krieger 302; Bloomberg 172	Fall 2026	Description: This course is an introduction to the theory of functions of one complex variable. Its emphasis is on techniques and applications, and it serves as a basis for more advanced courses. Functions of a complex variable and their derivatives; power series and Laurent expansions; Cauchy integral theorem and formula; calculus of residues and contour integrals; harmonic functions. Credits: 4.00 Status: Open Seats Available: 7/15 Tags: n/a
AS.110.311 (88)	Methods of Complex Analysis		Goldstein, Erich A	Online	Fall 2026	Description: This course is an introduction to the theory of functions of one complex variable. Its emphasis is on techniques and applications, and it serves as a basis for more advanced courses. Functions of a complex variable and their derivatives; power series and Laurent expansions; Cauchy integral theorem and formula; calculus of residues and contour integrals; harmonic functions. Credits: 4.00 Status: Approval Required Seats Available: 50/50 Tags: n/a
AS.110.376 (88)	The Mathematics of Cryptography and Cybersecurity		Ross, Lauren Elizabeth	Online	Fall 2026	Description: The Mathematics of Cryptography and Cybersecurity introduces students to the mathematical principles that secure digital communication in the modern world. The course focuses on the theory and construction of public-key cryptosystems and digital signature schemes, emphasizing the number-theoretic foundations of data security. Students will explore how mathematical ideas such as modular arithmetic, prime factorization, and discrete logarithms underpin real-world cybersecurity protocols including RSA, Diffie–Hellman key exchange, and elliptic curve cryptography. In addition to classical and modern cryptographic systems, the course highlights the role of mathematics in assessing vulnerabilities, analyzing security guarantees, and understanding emerging cryptographic challenges in cybersecurity. Topics include primality testing, factorization algorithms, probability and information theory, and collision resistance. This course offers a rigorous yet accessible path for students in mathematics and computer science to understand how abstract theory translates into the protection of information in a digital age. Credits: 4.00 Status: Approval Required Seats Available: 25/25 Tags: n/a
AS.110.401 (01)	Introduction to Abstract Algebra	MW 12:00PM - 1:15PM, F 12:00PM - 12:50PM	Wright, Kayla	Bloomberg 172; Bloomberg 172	Fall 2026	Description: An introduction to the basic notions of modern abstract algebra and can serve as as Introduction to Proofs (IP) course. This course is an introduction to group theory, with an emphasis on concrete examples, and especially on geometric symmetry groups. The course will introduce basic notions (groups, subgroups, homomorphisms, quotients) and prove foundational results (Lagrange's theorem, Cauchy's theorem, orbit-counting techniques, the classification of finite abelian groups). Examples to be discussed include permutation groups, dihedral groups, matrix groups, and finite rotation groups, culminating in the classification of the wallpaper groups. Prerequisites: Grade of C- or better in 110.201 or 110.212 Area: Quantitative and Mathematical Sciences. Credits: 4.00 Status: Open Seats Available: 8/18 Tags: n/a
AS.110.401 (88)	Introduction to Abstract Algebra		Marshburn, Nicholas A	Online	Fall 2026	Description: An introduction to the basic notions of modern abstract algebra and can serve as as Introduction to Proofs (IP) course. This course is an introduction to group theory, with an emphasis on concrete examples, and especially on geometric symmetry groups. The course will introduce basic notions (groups, subgroups, homomorphisms, quotients) and prove foundational results (Lagrange's theorem, Cauchy's theorem, orbit-counting techniques, the classification of finite abelian groups). Examples to be discussed include permutation groups, dihedral groups, matrix groups, and finite rotation groups, culminating in the classification of the wallpaper groups. Prerequisites: Grade of C- or better in 110.201 or 110.212 Area: Quantitative and Mathematical Sciences. Credits: 4.00 Status: Approval Required Seats Available: 50/50 Tags: n/a
AS.110.405 (01)	Real Analysis I	MW 1:30PM - 2:45PM, F 1:30PM - 2:20PM	McConnell, Ryan	Hodson 211; Hodson 301	Fall 2026	Description: This course is designed to give a firm grounding in the basic tools of analysis. It is recommended as preparation (but may not be a prerequisite) for other advanced analysis courses and may be taken as an Introduction to Proofs (IP) course. Topics include the formal properties of real and complex number systems, topology of metric spaces, limits, continuity, infinite sequences and series, differentiation, Riemann-Stieltjes integration. Prerequisites: Grade of C- or better in 110.201 or 110.212 and 110.202 or 110.211 Credits: 4.00 Status: Open Seats Available: 18/30 Tags: BMED-CB
AS.110.405 (88)	Real Analysis I		Gaines, Alexa D; Ross, Lauren Elizabeth	Online	Fall 2026	Description: This course is designed to give a firm grounding in the basic tools of analysis. It is recommended as preparation (but may not be a prerequisite) for other advanced analysis courses and may be taken as an Introduction to Proofs (IP) course. Topics include the formal properties of real and complex number systems, topology of metric spaces, limits, continuity, infinite sequences and series, differentiation, Riemann-Stieltjes integration. Prerequisites: Grade of C- or better in 110.201 or 110.212 and 110.202 or 110.211 Credits: 4.00 Status: Approval Required Seats Available: 100/100 Tags: BMED-CB
AS.110.406 (88)	Real Analysis II		Gaines, Alexa D; Ross, Lauren Elizabeth	Online	Fall 2026	Description: This course continues AS.110.405 with an emphasis on the fundamental notions of modern analysis. Sequences and series of functions, Fourier series, equicontinuity and the Arzela-Ascoli theorem, the Stone-Weierstrass theorem, functions of several variables, the inverse and implicit function theorems, introduction to the Lebesgue integral. Credits: 4.00 Status: Approval Required Seats Available: 99/100 Tags: n/a
AS.110.407 (01)	Honors Complex Analysis	TTh 12:00PM - 1:15PM	McConnell, Ryan	Maryland 104	Fall 2026	Description: AS.110.407. Honors Complex Analysis. 4.00 Credits. This course is an introduction to the theory of functions of one complex variable for honors students. Its emphasis is on techniques and applications, and can serve as an Introduction to Proofs (IP) course. Topics will include functions of a complex variable and their derivatives; power series and Laurent expansions; Cauchy integral theorem and formula; calculus of residues and contour integrals; harmonic functions, as well as applications to number theory and harmonic analysis. Area: Quantitative and Mathematical Sciences. This is not an Introduction to Proofs course (IP) and may not be taken as a first proof-based mathematics course except at the discretion of the instructor. This course satisfies a core requirement of the mathematics major as a second analysis course, and is a core requirement for honors in the major. Credits: 4.00 Status: Open Seats Available: 8/18 Tags: n/a
AS.110.411 (01)	Honors Algebra I	MW 12:00PM - 1:15PM, F 12:00PM - 12:50PM	Sakellaridis, Yiannis	Krieger 307; Krieger 307	Fall 2026	Description: An introduction to the basic notions of modern algebra for students with some prior acquaintance with abstract mathematics. Elements of group theory: groups, subgroups, normal subgroups, quotients, homomorphisms. Generators and relations, free groups, products, abelian groups, finite groups. Groups acting on sets, the Sylow theorems. Definition and examples of rings and ideals. Credits: 4.00 Status: Open Seats Available: 9/24 Tags: n/a
AS.110.412 (88)	Honors Algebra II		Marshburn, Nicholas A	Online	Fall 2026	Description: This is a continuation of 110.411 Honors Algebra I. Topics studies include principal ideal domains, structure of finitely generated modules over them. Introduction to field theory. Linear algebra over a field. Field extensions, constructible polygons, non-trisectability. Splitting field of a polynomial, algebraic closure of a field. Galois theory: correspondence between subgroups and subfields. Solvability of polynomial equations by radicals. Prerequisites: Grade of C- or better in 110.201 or 110.212. Area: Quantitative and Mathematical Sciences. Credits: 4.00 Status: Open Seats Available: 50/50 Tags: n/a
AS.110.413 (88)	Introduction To Topology		Ross, Lauren Elizabeth	Online	Fall 2026	Description: Topological spaces, connectedness, compactness, quotient spaces, metric spaces, function spaces. An introduction to algebraic topology: covering spaces, the fundamental group, and other topics as time permits. Credits: 4.00 Status: Open Seats Available: 48/50 Tags: n/a
AS.110.415 (01)	Honors Analysis I	MW 1:30PM - 2:45PM, F 1:30PM - 2:20PM	Zhao, Zihui	Hodson 301; Gilman 55	Fall 2026	Description: This highly theoretical sequence in analysis is reserved for the most able students. The sequence covers the real number system, metric spaces, basic functional analysis, the Lebesgue integral, and other topics. Credits: 4.00 Status: Open Seats Available: 11/24 Tags: n/a
AS.110.435 (01)	Introduction to Algebraic Geometry	TTh 3:00PM - 4:15PM	Consani, Caterina (Katia)	Krieger 204	Fall 2026	Description: Algebraic geometry studies zeros of polynomials in several variables and is based on the use of abstract algebraic techniques, mainly from commutative algebra, for solving geometric problems about these sets of zeros. The fundamental objects of study are algebraic varieties which are the geometric manifestations of solutions of systems of polynomial equations. Algebraic geometry occupies a central place in modern mathematics and has multiple conceptual connections with diverse fields such as complex analysis, topology and number theory. This course aims to provide to an undergraduate student majoring in mathematics the fundamental background to approach the study of algebraic geometry by providing the needed abstract knowledge also complemented by several examples and applications. Credits: 3.00 Status: Open Seats Available: 6/10 Tags: n/a
AS.110.439 (01)	Introduction To Differential Geometry	TTh 3:00PM - 4:15PM	Staff	Gilman 10	Fall 2026	Description: Theory of curves and surfaces in Euclidean space: Frenet equations, fundamental forms, curvatures of a surface, theorems of Gauss and Mainardi-Codazzi, curves on a surface; introduction to tensor analysis and Riemannian geometry; theorema egregium; elementary global theorems. Credits: 3.00 Status: Open Seats Available: 1/10 Tags: n/a
AS.110.503 (02)	Undergraduate Research in Mathematics		Savitt, David Lawrence		Fall 2026	Description: You must submit an Independent Academic Work form to enroll in this course. The form can be found in Student Self-Service: Registration, Online Forms. Credits: 1.00 - 4.00 Status: Approval Required Seats Available: 5/5 Tags: n/a
AS.110.503 (03)	Undergraduate Research in Mathematics		Khovanov, Mikhail		Fall 2026	Description: You must submit an Independent Academic Work form to enroll in this course. The form can be found in Student Self-Service: Registration, Online Forms. Credits: 1.00 - 4.00 Status: Approval Required Seats Available: 5/5 Tags: n/a
AS.110.503 (04)	Undergraduate Research in Mathematics		Im, Mee Seong		Fall 2026	Description: You must submit an Independent Academic Work form to enroll in this course. The form can be found in Student Self-Service: Registration, Online Forms. Credits: 1.00 - 4.00 Status: Approval Required Seats Available: 5/5 Tags: n/a
AS.110.503 (05)	Undergraduate Research in Mathematics		Lu, Fei		Fall 2026	Description: You must submit an Independent Academic Work form to enroll in this course. The form can be found in Student Self-Service: Registration, Online Forms. Credits: 1.00 - 4.00 Status: Approval Required Seats Available: 5/5 Tags: n/a
AS.110.503 (06)	Undergraduate Research in Mathematics		Dodson, Benjamin		Fall 2026	Description: You must submit an Independent Academic Work form to enroll in this course. The form can be found in Student Self-Service: Registration, Online Forms. Credits: 1.00 - 4.00 Status: Approval Required Seats Available: 3/3 Tags: n/a
AS.110.503 (07)	Undergraduate Research in Mathematics		Mese, CHIKAKO		Fall 2026	Description: You must submit an Independent Academic Work form to enroll in this course. The form can be found in Student Self-Service: Registration, Online Forms. Credits: 1.00 - 4.00 Status: Approval Required Seats Available: 3/3 Tags: n/a
AS.110.585 (01)	Directed Research for Undergraduates	T 4:00PM - 6:30PM	Im, Mee Seong	Maryland 114	Fall 2026	Description: Research on a topic chosen by the professor. Throughout the semester, each student will present related topics, including write ups for the presentations, which may be merged as a contribution to a collaborative paper. Credits: 3.00 Status: Approval Required Seats Available: 10/10 Tags: n/a
AS.110.587 (01)	DRP Independent Study		Lin, Jonathan		Fall 2026	Description: Directed Reading Program (DRP) Independent Study. Credits: 1.00 Status: Approval Required Seats Available: 5/5 Tags: n/a
AS.110.587 (02)	DRP Independent Study		Mejia Gomez, Tomas		Fall 2026	Description: Directed Reading Program (DRP) Independent Study. Credits: 1.00 Status: Approval Required Seats Available: 5/5 Tags: n/a
AS.110.587 (03)	DRP Independent Study		Lin, Milton		Fall 2026	Description: Directed Reading Program (DRP) Independent Study. Credits: 1.00 Status: Approval Required Seats Available: 5/5 Tags: n/a
AS.110.587 (04)	DRP Independent Study		Chedalavada, Anish V		Fall 2026	Description: Directed Reading Program (DRP) Independent Study. Credits: 1.00 Status: Approval Required Seats Available: 5/5 Tags: n/a
AS.110.587 (05)	DRP Independent Study		Tominaga, Akira		Fall 2026	Description: Directed Reading Program (DRP) Independent Study. Credits: 1.00 Status: Approval Required Seats Available: 5/5 Tags: n/a
AS.110.587 (06)	DRP Independent Study		Pham, Toan Quang		Fall 2026	Description: Directed Reading Program (DRP) Independent Study. Credits: 1.00 Status: Approval Required Seats Available: 5/5 Tags: n/a
AS.110.587 (08)	DRP Independent Study		Chen, Letian		Fall 2026	Description: Directed Reading Program (DRP) Independent Study. Credits: 1.00 Status: Approval Required Seats Available: 5/5 Tags: n/a