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.

• Days/Times: TTh 1:30PM - 2:45PM
• Instructor: Cutrone, Joseph W
• Room: Gilman 134
• Status: Closed
• Seats Available: 0/12
• PosTag(s): AGRI-ELECT

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.

• Days/Times:
• Instructor: Gaines, Alexa D; Ross, Lauren Elizabeth
• Room:  
• Status: Canceled
• Seats Available: 25/25
• PosTag(s): n/a

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.

• Days/Times: MWF 9:00AM - 9:50AM, T 4:30PM - 5:20PM
• Instructor: Sun, Yitong
• Room: Hodson 211; Hodson 315
• Status: Closed
• Seats Available: 8/30
• PosTag(s): n/a

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.

• Days/Times:
• Instructor: Gaines, Alexa D
• Room:  
• Status: Closed
• Seats Available: 34/50
• PosTag(s): n/a

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.

• Days/Times: MWF 10:00AM - 10:50AM, T 1:30PM - 2:20PM
• Instructor: Wentworth-Nice, Prairie
• Room: Hodson 110; Bloomberg 176
• Status: Closed
• Seats Available: 1/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 10:00AM - 10:50AM, T 3:00PM - 3:50PM
• Instructor: Wentworth-Nice, Prairie
• Room: Hodson 110; Hodson 301
• Status: Closed
• Seats Available: 6/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 10:00AM - 10:50AM, T 7:00PM - 7:50PM
• Instructor: Wentworth-Nice, Prairie
• Room: Hodson 110; Hodson 216
• Status: Closed
• Seats Available: 23/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 10:00AM - 10:50AM, Th 8:00AM - 8:50AM
• Instructor: Wentworth-Nice, Prairie
• Room: Hodson 110; Hodson 203
• Status: Closed
• Seats Available: 2/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 10:00AM - 10:50AM, Th 6:00PM - 6:50PM
• Instructor: Wentworth-Nice, Prairie
• Room: Hodson 110; Hodson 301
• Status: Canceled
• Seats Available: 30/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 11:00AM - 11:50AM, T 4:30PM - 5:20PM
• Instructor: Wentworth-Nice, Prairie
• Room: Hodson 110; Bloomberg 168
• Status: Closed
• Seats Available: 0/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 11:00AM - 11:50AM, T 6:00PM - 6:50PM
• Instructor: Wentworth-Nice, Prairie
• Room: Hodson 110; Hodson 305
• Status: Closed
• Seats Available: 6/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 11:00AM - 11:50AM, Th 9:00AM - 9:50AM
• Instructor: Wentworth-Nice, Prairie
• Room: Hodson 110; Krieger 205
• Status: Closed
• Seats Available: 1/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 11:00AM - 11:50AM, Th 1:30PM - 2:20PM
• Instructor: Wentworth-Nice, Prairie
• Room: Hodson 110; Bloomberg 176
• Status: Closed
• Seats Available: 2/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 11:00AM - 11:50AM, Th 7:00PM - 7:50PM
• Instructor: Wentworth-Nice, Prairie
• Room: Hodson 110; Gilman 377
• Status: Canceled
• Seats Available: 25/25
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 10:00AM - 10:50AM, T 3:00PM - 3:50PM
• Instructor: Shumakovitch, Alexander N
• Room: Maryland 110; Gilman 55
• Status: Closed
• Seats Available: 8/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 10:00AM - 10:50AM, T 4:30PM - 5:20PM
• Instructor: Shumakovitch, Alexander N
• Room: Maryland 110; Bloomberg 176
• Status: Closed
• Seats Available: 5/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 10:00AM - 10:50AM, Th 1:30PM - 2:20PM
• Instructor: Shumakovitch, Alexander N
• Room: Maryland 110; Bloomberg 274
• Status: Closed
• Seats Available: 6/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 10:00AM - 10:50AM, Th 4:30PM - 5:20PM
• Instructor: Shumakovitch, Alexander N
• Room: Maryland 110; Bloomberg 168
• Status: Closed
• Seats Available: 8/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 10:00AM - 10:50AM, T 6:00PM - 6:50PM
• Instructor: McConnell, Ryan
• Room: Latrobe 107; Gilman 17
• Status: Closed
• Seats Available: 4/19
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 10:00AM - 10:50AM, Th 4:30PM - 5:20PM
• Instructor: McConnell, Ryan
• Room: Latrobe 107; Bloomberg 176
• Status: Closed
• Seats Available: 5/24
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 11:00AM - 11:50AM, T 4:30PM - 5:20PM
• Instructor: McConnell, Ryan
• Room: Olin 305; Latrobe 120
• Status: Closed
• Seats Available: 3/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 11:00AM - 11:50AM, Th 6:00PM - 6:50PM
• Instructor: McConnell, Ryan
• Room: Olin 305; Gilman 17
• Status: Closed
• Seats Available: 21/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times:
• Instructor: Clayton, Amanda M
• Room:  
• Status: Closed
• Seats Available: 35/50
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 10:00AM - 10:50AM, T 9:00AM - 9:50AM
• Instructor: Mese, CHIKAKO
• Room: Hodson 210; Krieger 205
• Status: Closed
• Seats Available: 3/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 10:00AM - 10:50AM, T 7:00PM - 7:50PM
• Instructor: Mese, CHIKAKO
• Room: Hodson 210; Hodson 203
• Status: Closed
• Seats Available: 12/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 10:00AM - 10:50AM, Th 4:30PM - 5:20PM
• Instructor: Mese, CHIKAKO
• Room: Hodson 210; Latrobe 120
• Status: Closed
• Seats Available: 2/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 11:00AM - 11:50AM, Th 6:00PM - 6:50PM
• Instructor: Stufflebeam, Hunter Alexander
• Room: Mergenthaler 111; Hodson 211
• Status: Closed
• Seats Available: 8/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 11:00AM - 11:50AM, Th 8:00AM - 8:50AM
• Instructor: Stufflebeam, Hunter Alexander
• Room: Mergenthaler 111; Hodson 313
• Status: Closed
• Seats Available: 0/32
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 11:00AM - 11:50AM, Th 6:00PM - 6:50PM
• Instructor: Stufflebeam, Hunter Alexander
• Room: Mergenthaler 111; Hodson 313
• Status: Closed
• Seats Available: 15/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 11:00AM - 11:50AM, Th 4:30PM - 5:20PM
• Instructor: Stufflebeam, Hunter Alexander
• Room: Mergenthaler 111; Hodson 203
• Status: Closed
• Seats Available: 4/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times:
• Instructor: Cutrone, Joseph W
• Room:  
• Status: Closed
• Seats Available: 45/50
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MW 4:30PM - 5:45PM, F 4:30PM - 5:20PM
• Instructor: Chedalavada, Anish V
• Room: Krieger 304; Krieger 304
• Status: Closed
• Seats Available: 5/15
• PosTag(s): n/a

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.

• Days/Times:
• Instructor: Gaines, Alexa D
• Room:  
• Status: Canceled
• Seats Available: 25/25
• PosTag(s): n/a

Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.

• Days/Times: MWF 10:00AM - 10:50AM, T 6:00PM - 6:50PM
• Instructor: Sunohara, Matthew
• Room: Krieger 205; Hodson 211
• Status: Closed
• Seats Available: 1/24
• PosTag(s): ROBO-CMMA

Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.

• Days/Times: MWF 10:00AM - 10:50AM, T 7:00PM - 7:50PM
• Instructor: Sunohara, Matthew
• Room: Krieger 205; Gilman 17
• Status: Closed
• Seats Available: 0/24
• PosTag(s): ROBO-CMMA

Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.

• Days/Times: MWF 10:00AM - 10:50AM, Th 8:00AM - 8:50AM
• Instructor: Sunohara, Matthew
• Room: Krieger 205; Hodson 216
• Status: Closed
• Seats Available: 9/24
• PosTag(s): ROBO-CMMA

Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.

• Days/Times: MWF 10:00AM - 10:50AM, Th 3:00PM - 3:50PM
• Instructor: Sunohara, Matthew
• Room: Krieger 205; Gilman 17
• Status: Closed
• Seats Available: 0/24
• PosTag(s): ROBO-CMMA

Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.

• Days/Times: MWF 10:00AM - 10:50AM, Th 4:30PM - 5:20PM
• Instructor: Sunohara, Matthew
• Room: Krieger 205; Krieger 304
• Status: Closed
• Seats Available: 0/24
• PosTag(s): ROBO-CMMA

Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.

• Days/Times: MWF 10:00AM - 10:50AM, Th 7:00PM - 7:50PM
• Instructor: Sunohara, Matthew
• Room: Krieger 205; Gilman 17
• Status: Canceled
• Seats Available: 24/24
• PosTag(s): ROBO-CMMA

Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.

• Days/Times:
• Instructor: Marshburn, Nicholas A
• Room:  
• Status: Closed
• Seats Available: 71/100
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 11:00AM - 11:50AM, T 9:00AM - 9:50AM
• Instructor: Wright, Kayla
• Room: Remsen Hall 1; Bloomberg 168
• Status: Closed
• Seats Available: 1/24
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 11:00AM - 11:50AM, T 1:30PM - 2:20PM
• Instructor: Wright, Kayla
• Room: Remsen Hall 1; Maryland 114
• Status: Closed
• Seats Available: 3/24
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 11:00AM - 11:50AM, T 3:00PM - 3:50PM
• Instructor: Wright, Kayla
• Room: Remsen Hall 1; Bloomberg 168
• Status: Closed
• Seats Available: 0/24
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 11:00AM - 11:50AM, T 4:30PM - 5:20PM
• Instructor: Wright, Kayla
• Room: Remsen Hall 1; Krieger 304
• Status: Closed
• Seats Available: 0/24
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 11:00AM - 11:50AM, Th 9:00AM - 9:50AM
• Instructor: Wright, Kayla
• Room: Remsen Hall 1; Bloomberg 272
• Status: Closed
• Seats Available: 0/24
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 11:00AM - 11:50AM, Th 3:00PM - 3:50PM
• Instructor: Wright, Kayla
• Room: Remsen Hall 1; Gilman 55
• Status: Closed
• Seats Available: 0/24
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 11:00AM - 11:50AM, Th 6:00PM - 6:50PM
• Instructor: Wright, Kayla
• Room: Remsen Hall 1; Krieger 307
• Status: Closed
• Seats Available: 1/24
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 11:00AM - 11:50AM, Th 7:00PM - 7:50PM
• Instructor: Wright, Kayla
• Room: Remsen Hall 1; Hodson 203
• Status: Closed
• Seats Available: 0/24
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 12:00PM - 12:50PM, Th 8:00AM - 8:50AM
• Instructor: Wright, Kayla
• Room: Remsen Hall 101; Hodson 301
• Status: Closed
• Seats Available: 0/24
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 12:00PM - 12:50PM, T 3:00PM - 3:50PM
• Instructor: Wright, Kayla
• Room: Remsen Hall 101; Hodson 313
• Status: Closed
• Seats Available: 0/24
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 12:00PM - 12:50PM, T 6:00PM - 6:50PM
• Instructor: Wright, Kayla
• Room: Remsen Hall 101; Krieger 307
• Status: Closed
• Seats Available: 0/24
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 12:00PM - 12:50PM, T 7:00PM - 7:50PM
• Instructor: Wright, Kayla
• Room: Remsen Hall 101; Hodson 211
• Status: Closed
• Seats Available: 0/24
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 12:00PM - 12:50PM, Th 3:00PM - 3:50PM
• Instructor: Wright, Kayla
• Room: Remsen Hall 101; Maryland 309
• Status: Closed
• Seats Available: 2/24
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 12:00PM - 12:50PM, Th 7:00PM - 7:50PM
• Instructor: Wright, Kayla
• Room: Remsen Hall 101; Hodson 211
• Status: Closed
• Seats Available: 1/24
• PosTag(s): ROBO-CMMA

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.

• Days/Times:
• Instructor: Christiansen, Teri E
• Room:  
• Status: Closed
• Seats Available: 71/100
• PosTag(s): ROBO-CMMA

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.

• Days/Times:
• Instructor: Ali Yousuf, Muhammad
• Room:  
• Status: Canceled
• Seats Available: 50/50
• PosTag(s): n/a

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.

• Days/Times:
• Instructor: Ratigan, Christopher J
• Room:  
• Status: Canceled
• Seats Available: 50/50
• PosTag(s): n/a

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.

• Days/Times: MW 1:30PM - 2:45PM, F 1:30PM - 2:20PM
• Instructor: Sakellaridis, Yiannis
• Room: Hodson 315; Hodson 305
• Status: Closed
• Seats Available: 19/30
• PosTag(s): ROBO-CMMA

This course is an introduction to mathematical reason and formalism in the context of mathematical problem solving, such as induction, invariants, inequalities and generating functions. This course does not satisfy any major requirement, and may be taken more than once for credit It is primarily used as training for the William Lowell Putnam Mathematics Competition. Area: Quantitative and Mathematical Sciences.

• Days/Times: F 3:00PM - 4:40PM
• Instructor: Masserini, Simone
• Room: Gilman 277
• Status: Closed
• Seats Available: 8/12
• PosTag(s): n/a

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

• Days/Times:
• Instructor: Marshburn, Nicholas A
• Room:  
• Status: Canceled
• Seats Available: 50/50
• PosTag(s): n/a

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.

• Days/Times: MW 1:30PM - 2:45PM, F 1:30PM - 2:20PM
• Instructor: Hamil, Matthew Harrison
• Room:  
• Status: Closed
• Seats Available: 27/30
• PosTag(s): n/a

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.

• Days/Times:
• Instructor: Goldstein, Erich A
• Room:  
• Status: Closed
• Seats Available: 43/50
• PosTag(s): n/a

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.

• Days/Times: MWF 12:00PM - 12:50PM, T 1:30PM - 2:20PM
• Instructor: Klevdal, Christian
• Room: Maryland 110; Krieger 307
• Status: Closed
• Seats Available: 0/24
• PosTag(s): n/a

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.

• Days/Times: MWF 12:00PM - 12:50PM, Th 1:30PM - 2:20PM
• Instructor: Klevdal, Christian
• Room: Maryland 110; Krieger 307
• Status: Closed
• Seats Available: 1/24
• PosTag(s): n/a

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.

• Days/Times: MWF 12:00PM - 12:50PM, Th 6:00PM - 6:50PM
• Instructor: Klevdal, Christian
• Room: Maryland 110; Hodson 203
• Status: Closed
• Seats Available: 1/24
• PosTag(s): n/a

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.

• Days/Times: MWF 1:30PM - 2:20PM, T 1:30PM - 2:20PM
• Instructor: Brown, Richard
• Room: Olin 305; Bloomberg 274
• Status: Closed
• Seats Available: 1/26
• PosTag(s): n/a

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.

• Days/Times: MWF 1:30PM - 2:20PM, Th 3:00PM - 3:50PM
• Instructor: Brown, Richard
• Room: Olin 305; Hodson 313
• Status: Closed
• Seats Available: 0/24
• PosTag(s): n/a

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.

• Days/Times: MWF 1:30PM - 2:20PM, Th 6:00PM - 6:50PM
• Instructor: Brown, Richard
• Room: Olin 305; Hodson 216
• Status: Closed
• Seats Available: 0/24
• PosTag(s): n/a

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.

• Days/Times:
• Instructor: Marshburn, Nicholas A
• Room:  
• Status: Closed
• Seats Available: 92/100
• PosTag(s): n/a

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.

• Days/Times:
• Instructor: Ratigan, Christopher J
• Room:  
• Status: Closed
• Seats Available: 6/25
• PosTag(s): AGRI-ELECT

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.

• Days/Times: TTh 9:00AM - 10:15AM, F 9:00AM - 9:50AM
• Instructor: Rijke, Egbert
• Room: Krieger 308; Bloomberg 276
• Status: Closed
• Seats Available: 11/19
• PosTag(s): n/a

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.

• Days/Times:
• Instructor: Marshburn, Nicholas A
• Room:  
• Status: Canceled
• Seats Available: 50/50
• PosTag(s): n/a

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.

• Days/Times: TTh 12:00PM - 1:15PM, Th 4:30PM - 5:20PM
• Instructor: Jones, Trevor; Staff
• Room: Bloomberg 178; Krieger 302
• Status: Closed
• Seats Available: 11/15
• PosTag(s): n/a

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.

• Days/Times:
• Instructor: Goldstein, Erich A
• Room:  
• Status: Canceled
• Seats Available: 50/50
• PosTag(s): n/a

An Introduction to Mathematical Cryptography is an introduction to modern cryptography with an emphasis on the mathematics behind the theory of public key cryptosystems and digital signature schemes. The course develops the mathematical tools needed for the construction and security analysis of diverse cryptosystems. Other topics central to mathematical cryptography covered are: classical cryptographic constructions, such as Diffie-Hellmann key exchange, discrete logarithm-based cryptosystems, the RSA cryptosystem, and digital signatures. Fundamental mathematical tools for cryptography studied include: primality testing, factorization algorithms, probability theory, information theory, and collision algorithms. A survey of important recent cryptographic innovations, such as elliptic curves, elliptic curve and pairing-based cryptography are included as well. This course is an ideal introduction for mathematics and computer science students to the mathematical foundations of modern cryptography.

• Days/Times:
• Instructor: Ross, Lauren Elizabeth
• Room:  
• Status: Closed
• Seats Available: 47/50
• PosTag(s): n/a

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.

• Days/Times: MW 12:00PM - 1:15PM, F 12:00PM - 12:50PM
• Instructor: Jones, Trevor
• Room: Maryland 202; Krieger 304
• Status: Closed
• Seats Available: 9/18
• PosTag(s): n/a

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.

• Days/Times:
• Instructor: Marshburn, Nicholas A
• Room:  
• Status: Closed
• Seats Available: 44/50
• PosTag(s): n/a

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

• Days/Times: MW 1:30PM - 2:45PM, F 1:30PM - 2:20PM
• Instructor: Lu, Fei
• Room: Hodson 216; Hodson 211
• Status: Closed
• Seats Available: 5/30
• PosTag(s): BMED-CB

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

• Days/Times:
• Instructor: Marino, Jeffrey Robert
• Room:  
• Status: Closed
• Seats Available: 83/100
• PosTag(s): BMED-CB

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.

• Days/Times:
• Instructor: Marino, Jeffrey Robert
• Room:  
• Status: Closed
• Seats Available: 97/100
• PosTag(s): n/a

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.

• Days/Times: TTh 12:00PM - 1:15PM
• Instructor: Dodson, Benjamin
• Room: Bloomberg 172
• Status: Closed
• Seats Available: 13/18
• PosTag(s): n/a

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.

• Days/Times: MW 12:00PM - 1:15PM, F 12:00PM - 12:50PM
• Instructor: Hamil, Matthew Harrison
• Room: Hodson 313; Krieger 306
• Status: Closed
• Seats Available: 13/24
• PosTag(s): n/a

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.

• Days/Times:
• Instructor: Marshburn, Nicholas A
• Room:  
• Status: Closed
• Seats Available: 49/50
• PosTag(s): n/a

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.

• Days/Times:
• Instructor: Ross, Lauren Elizabeth
• Room:  
• Status: Closed
• Seats Available: 46/50
• PosTag(s): n/a

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.

• Days/Times: MW 3:00PM - 4:15PM, F 3:00PM - 3:50PM
• Instructor: Marshall-Stevens, Kobe
• Room: Hodson 315; Maryland 104
• Status: Closed
• Seats Available: 4/24
• PosTag(s): n/a

This course will focus on the basic theory of representations of finite groups in characteristic zero: Schur's Lemma, Mashcke's Theorem and complete reducibility, character tables and orthogonality, direct sums and tensor products. The main examples we will try to understand are the representation theory of the symmetric group and the general linear group over a finite field. If time permits, the theory of Brauer characters and modular representations will be introduced.

• Days/Times: TTh 3:00PM - 4:15PM
• Instructor: Corato Zanarella, Murilo
• Room: Krieger 300
• Status: Closed
• Seats Available: 16/19
• PosTag(s): n/a

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.

• Days/Times: TTh 1:30PM - 2:45PM
• Instructor: Restrepo Montoya, Daniel Eduardo
• Room: Krieger 302
• Status: Closed
• Seats Available: 19/24
• PosTag(s): n/a

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.

• Days/Times:
• Instructor: Im, Mee Seong
• Room:  
• Status: Closed
• Seats Available: 5/5
• PosTag(s): n/a

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.

• Days/Times:
• Instructor: Lu, Fei
• Room:  
• Status: Closed
• Seats Available: 4/5
• PosTag(s): n/a

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.

• Days/Times:
• Instructor: Dodson, Benjamin
• Room:  
• Status: Closed
• Seats Available: 2/3
• PosTag(s): n/a

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.

• Days/Times:
• Instructor: Mese, CHIKAKO
• Room:  
• Status: Closed
• Seats Available: 3/3
• PosTag(s): n/a

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.

• Days/Times: T 4:00PM - 6:30PM
• Instructor: Im, Mee Seong
• Room: Krieger 204
• Status: Closed
• Seats Available: 7/10
• PosTag(s): n/a

Directed Reading Program (DRP) Independent Study.

• Days/Times:
• Instructor: Lin, Jonathan
• Room:  
• Status: Closed
• Seats Available: 5/5
• PosTag(s): n/a

Directed Reading Program (DRP) Independent Study.

• Days/Times:
• Instructor: Mejia Gomez, Tomas
• Room:  
• Status: Closed
• Seats Available: 5/5
• PosTag(s): n/a

Directed Reading Program (DRP) Independent Study.

• Days/Times:
• Instructor: Lin, Milton
• Room:  
• Status: Closed
• Seats Available: 5/5
• PosTag(s): n/a

Directed Reading Program (DRP) Independent Study.

• Days/Times:
• Instructor: Chedalavada, Anish V
• Room:  
• Status: Closed
• Seats Available: 5/5
• PosTag(s): n/a

Directed Reading Program (DRP) Independent Study.

• Days/Times:
• Instructor: Tominaga, Akira
• Room:  
• Status: Closed
• Seats Available: 5/5
• PosTag(s): n/a

Directed Reading Program (DRP) Independent Study.

• Days/Times:
• Instructor: Pham, Toan Quang
• Room:  
• Status: Closed
• Seats Available: 5/5
• PosTag(s): n/a

Directed Reading Program (DRP) Independent Study.

• Days/Times:
• Instructor: Chen, Letian
• Room:  
• Status: Closed
• Seats Available: 5/5
• PosTag(s): n/a

This course provides an in-depth exploration of minimalism, habit formation, and purposeful living, drawing from research that have influenced the seminal works of Marie Kondo, James Clear, Michelle Segar, and Cal Newport. It is specifically designed to aid college freshmen and sophomores in achieving a balanced and fulfilling academic experience. Students will systematically analyze and optimize their physical and mental environments, emphasizing elements that contribute to decreased clutter & increased well-being. Throughout the course students will also implement incremental, high-impact habits that will lay the foundation for fostering substantial personal growth and satisfaction. The course also delves into Michelle Segar’s research on the science of motivation, providing evidence-based strategies for instigating and maintaining positive behavioral changes. Additionally, Cal Newport’s insights from "So Good They Can’t Ignore You" will be utilized to critically assess the role of passion in constructing a meaningful and enjoyable life trajectory.

• Days/Times: T 9:00AM - 11:30AM
• Instructor: Griffin, Catrish
• Room: Shriver Hall Board Room
• Status: Closed
• Seats Available: 2/12
• PosTag(s): n/a

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.

• Days/Times:
• Instructor: Gaines, Alexa D; Ross, Lauren Elizabeth
• Room:  
• Status: Approval Required
• Seats Available: 50/50
• PosTag(s): n/a

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.

• Days/Times:
• Instructor: Gaines, Alexa D
• Room:  
• Status: Approval Required
• Seats Available: 50/50
• PosTag(s): n/a

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.

• Days/Times: MWF 10:00AM - 10:50AM, T 4:30PM - 5:20PM
• Instructor: Hamil, Matthew Harrison
• Room: Shaffer 306; Gilman 17
• Status: Open
• Seats Available: 30/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 10:00AM - 10:50AM, Th 3:00PM - 3:50PM
• Instructor: Hamil, Matthew Harrison
• Room: Shaffer 306; Hodson 211
• Status: Open
• Seats Available: 29/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 9:00AM - 9:50AM, T 9:00AM - 9:50AM
• Instructor: Wentworth-Nice, Prairie
• Room: Krieger 205; Hodson 301
• Status: Open
• Seats Available: 30/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 9:00AM - 9:50AM, T 4:30PM - 5:20PM
• Instructor: Wentworth-Nice, Prairie
• Room: Krieger 205; Hodson 301
• Status: Open
• Seats Available: 30/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 9:00AM - 9:50AM, Th 1:30PM - 2:20PM
• Instructor: Wentworth-Nice, Prairie
• Room: Krieger 205; Gilman 55
• Status: Open
• Seats Available: 30/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 9:00AM - 9:50AM, Th 3:00PM - 3:50PM
• Instructor: Wentworth-Nice, Prairie
• Room: Krieger 205; Bloomberg 168
• Status: Open
• Seats Available: 30/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 11:00AM - 11:50AM, Th 1:30PM - 2:20PM
• Instructor: Wentworth-Nice, Prairie
• Room: Shaffer 3; Hodson 211
• Status: Open
• Seats Available: 29/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 11:00AM - 11:50AM, T 4:30PM - 5:20PM
• Instructor: Wentworth-Nice, Prairie
• Room: Shaffer 3; Bloomberg 168
• Status: Open
• Seats Available: 30/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 11:00AM - 11:50AM, T 6:00PM - 6:50PM
• Instructor: Wentworth-Nice, Prairie
• Room: Shaffer 3; Gilman 17
• Status: Open
• Seats Available: 29/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 11:00AM - 11:50AM, Th 3:00PM - 3:50PM
• Instructor: Wentworth-Nice, Prairie
• Room: Shaffer 3; Bloomberg 274
• Status: Open
• Seats Available: 30/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times:
• Instructor: Clayton, Amanda M
• Room:  
• Status: Approval Required
• Seats Available: 49/50
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 10:00AM - 10:50AM, T 8:00AM - 8:50AM
• Instructor: Corato Zanarella, Murilo
• Room: Krieger 205; Hodson 301
• Status: Open
• Seats Available: 30/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 10:00AM - 10:50AM, T 6:00PM - 6:50PM
• Instructor: Corato Zanarella, Murilo
• Room: Krieger 205; Hodson 301
• Status: Open
• Seats Available: 30/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 10:00AM - 10:50AM, Th 1:30PM - 2:20PM
• Instructor: Corato Zanarella, Murilo
• Room: Krieger 205; Hodson 301
• Status: Open
• Seats Available: 30/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 3:00PM - 3:50PM, T 3:00PM - 3:50PM
• Instructor: Corato Zanarella, Murilo
• Room: Krieger 205; Hodson 211
• Status: Open
• Seats Available: 30/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 3:00PM - 3:50PM, T 7:00PM - 7:50PM
• Instructor: Corato Zanarella, Murilo
• Room: Krieger 205; Hodson 301
• Status: Open
• Seats Available: 30/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 3:00PM - 3:50PM, Th 4:30PM - 5:20PM
• Instructor: Corato Zanarella, Murilo
• Room: Krieger 205; Bloomberg 168
• Status: Open
• Seats Available: 30/30
• PosTag(s): ROBO-CMMA

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.

• Days/Times:
• Instructor: Cutrone, Joseph W
• Room:  
• Status: Approval Required
• Seats Available: 50/50
• PosTag(s): ROBO-CMMA

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.

• Days/Times:
• Instructor: Gaines, Alexa D
• Room:  
• Status: Approval Required
• Seats Available: 50/50
• PosTag(s): n/a

Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.

• Days/Times: MWF 9:00AM - 9:50AM, T 1:30PM - 2:20PM
• Instructor: Gepner, David James
• Room: Remsen Hall 101; Shaffer 301
• Status: Open
• Seats Available: 24/24
• PosTag(s): ROBO-CMMA

Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.

• Days/Times: MWF 9:00AM - 9:50AM, T 4:30PM - 5:20PM
• Instructor: Gepner, David James
• Room: Remsen Hall 101; Bloomberg 176
• Status: Open
• Seats Available: 24/24
• PosTag(s): ROBO-CMMA

Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.

• Days/Times: MWF 9:00AM - 9:50AM, Th 8:00PM - 8:50PM
• Instructor: Gepner, David James
• Room: Remsen Hall 101; Gilman 17
• Status: Open
• Seats Available: 24/24
• PosTag(s): ROBO-CMMA

Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.

• Days/Times: MWF 9:00AM - 9:50AM, Th 4:30PM - 5:20PM
• Instructor: Gepner, David James
• Room: Remsen Hall 101; Gilman 17
• Status: Open
• Seats Available: 24/24
• PosTag(s): ROBO-CMMA

Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.

• Days/Times: MWF 12:00PM - 12:50PM, T 1:30PM - 2:20PM
• Instructor: Gepner, David James
• Room: Maryland 110; Hodson 301
• Status: Open
• Seats Available: 23/24
• PosTag(s): ROBO-CMMA

Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.

• Days/Times: MWF 12:00PM - 12:50PM, T 3:00PM - 3:50PM
• Instructor: Gepner, David James
• Room: Maryland 110; Gilman 119
• Status: Open
• Seats Available: 24/24
• PosTag(s): ROBO-CMMA

Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.

• Days/Times: MWF 12:00PM - 12:50PM, Th 3:00PM - 3:50PM
• Instructor: Gepner, David James
• Room: Maryland 110; Bloomberg 278
• Status: Open
• Seats Available: 24/24
• PosTag(s): ROBO-CMMA

Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.

• Days/Times: MWF 12:00PM - 12:50PM, Th 6:00PM - 6:50PM
• Instructor: Gepner, David James
• Room: Maryland 110; Gilman 17
• Status: Open
• Seats Available: 24/24
• PosTag(s): ROBO-CMMA

Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.

• Days/Times:
• Instructor: Marshburn, Nicholas A
• Room:  
• Status: Approval Required
• Seats Available: 100/100
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 11:00AM - 11:50AM, T 3:00PM - 3:50PM
• Instructor: Wright, Kayla
• Room: Krieger 205; Bloomberg 278
• Status: Open
• Seats Available: 21/24
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 11:00AM - 11:50AM, T 6:00PM - 6:50PM
• Instructor: Wright, Kayla
• Room: Krieger 205; Hodson 211
• Status: Open
• Seats Available: 23/24
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 11:00AM - 11:50AM, Th 9:00AM - 9:50AM
• Instructor: Wright, Kayla
• Room: Krieger 205; Hodson 301
• Status: Open
• Seats Available: 24/24
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 11:00AM - 11:50AM, Th 4:30PM - 5:20PM
• Instructor: Wright, Kayla
• Room: Krieger 205; Hodson 301
• Status: Open
• Seats Available: 24/24
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 11:00AM - 11:50AM, Th 6:00PM - 6:50PM
• Instructor: Wright, Kayla
• Room: Krieger 205; Bloomberg 278
• Status: Open
• Seats Available: 24/24
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 12:00PM - 12:50PM, T 3:00PM - 3:50PM
• Instructor: Wright, Kayla
• Room: Krieger 205; Bloomberg 168
• Status: Open
• Seats Available: 24/24
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 12:00PM - 12:50PM, T 4:30PM - 5:20PM
• Instructor: Wright, Kayla
• Room: Krieger 205; Hodson 303
• Status: Open
• Seats Available: 24/24
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 12:00PM - 12:50PM, Th 4:30PM - 5:20PM
• Instructor: Wright, Kayla
• Room: Krieger 205; Hodson 303
• Status: Open
• Seats Available: 24/24
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MWF 12:00PM - 12:50PM, Th 6:00PM - 6:50PM
• Instructor: Wright, Kayla
• Room: Krieger 205; Hodson 211
• Status: Open
• Seats Available: 24/24
• PosTag(s): ROBO-CMMA

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.

• Days/Times:
• Instructor: Goldstein, Erich A
• Room:  
• Status: Approval Required
• Seats Available: 49/50
• PosTag(s): ROBO-CMMA

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.

• Days/Times:
• Instructor: Ali Yousuf, Muhammad
• Room:  
• Status: Approval Required
• Seats Available: 50/50
• PosTag(s): n/a

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.

• Days/Times:
• Instructor: Ratigan, Christopher J
• Room:  
• Status: Approval Required
• Seats Available: 50/50
• PosTag(s): n/a

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.

• Days/Times: MW 1:30PM - 2:45PM, F 1:30PM - 2:20PM
• Instructor: Stufflebeam, Hunter Alexander
• Room: Bloomberg 168; Gilman 17
• Status: Open
• Seats Available: 20/20
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MW 1:30PM - 2:45PM, F 1:30PM - 2:20PM
• Instructor: Gregoric, Rok
• Room: Maryland 104; Gilman 400
• Status: Open
• Seats Available: 19/20
• PosTag(s): ROBO-CMMA

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

• Days/Times:
• Instructor: Marshburn, Nicholas A
• Room:  
• Status: Approval Required
• Seats Available: 100/100
• PosTag(s): n/a

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.

• Days/Times:
• Instructor: Goldstein, Erich A
• Room:  
• Status: Approval Required
• Seats Available: 50/50
• PosTag(s): n/a

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.

• Days/Times: MWF 12:00PM - 12:50PM, T 4:30PM - 5:20PM
• Instructor: Sire, Yannick
• Room: Olin 305; Gilman 119
• Status: Open
• Seats Available: 24/24
• PosTag(s): n/a

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.

• Days/Times: MWF 12:00PM - 12:50PM, Th 3:00PM - 3:50PM
• Instructor: Sire, Yannick
• Room: Olin 305; Gilman 119
• Status: Open
• Seats Available: 24/24
• PosTag(s): n/a

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.

• Days/Times: MWF 12:00PM - 12:50PM, Th 4:30PM - 5:20PM
• Instructor: Sire, Yannick
• Room: Olin 305; Gilman 119
• Status: Open
• Seats Available: 24/24
• PosTag(s): n/a

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.

• Days/Times: MWF 12:00PM - 12:50PM, Th 6:00PM - 6:50PM
• Instructor: Sire, Yannick
• Room: Olin 305; Hodson 316
• Status: Open
• Seats Available: 24/24
• PosTag(s): n/a

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.

• Days/Times: MWF 1:30PM - 2:20PM, T 3:00PM - 3:50PM
• Instructor: Sire, Yannick
• Room: Olin 305; Bloomberg 274
• Status: Open
• Seats Available: 24/24
• PosTag(s): n/a

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.

• Days/Times: MWF 1:30PM - 2:20PM, T 4:30PM - 5:20PM
• Instructor: Sire, Yannick
• Room: Olin 305; Hodson 211
• Status: Open
• Seats Available: 24/24
• PosTag(s): n/a

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.

• Days/Times:
• Instructor: Marshburn, Nicholas A
• Room:  
• Status: Approval Required
• Seats Available: 100/100
• PosTag(s): n/a

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.

• Days/Times:
• Instructor: Ratigan, Christopher J
• Room:  
• Status: Open
• Seats Available: 20/20
• PosTag(s): AGRI-ELECT

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.

• Days/Times: TTh 9:00AM - 10:15AM, F 9:00AM - 9:50AM
• Instructor: Klevdal, Christian
• Room: Bloomberg 168; Bloomberg 276
• Status: Open
• Seats Available: 20/20
• PosTag(s): n/a

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.

• Days/Times:
• Instructor: Ratigan, Christopher J
• Room:  
• Status: Approval Required
• Seats Available: 50/50
• PosTag(s): n/a

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.

• Days/Times: TTh 12:00PM - 1:15PM, F 12:00PM - 12:50PM
• Instructor: Restrepo Montoya, Daniel Eduardo
• Room: Bloomberg 276; Krieger 308
• Status: Open
• Seats Available: 20/20
• PosTag(s): n/a

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.

• Days/Times:
• Instructor: Goldstein, Erich A
• Room:  
• Status: Approval Required
• Seats Available: 50/50
• PosTag(s): n/a

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.

• Days/Times:
• Instructor: Ross, Lauren Elizabeth
• Room:  
• Status: Open
• Seats Available: 50/50
• PosTag(s): n/a

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.

• Days/Times: MW 12:00PM - 1:15PM, F 12:00PM - 12:50PM
• Instructor: Rijke, Egbert
• Room: Maryland 114; Krieger 302
• Status: Open
• Seats Available: 19/20
• PosTag(s): n/a

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.

• Days/Times:
• Instructor: Marshburn, Nicholas A
• Room:  
• Status: Approval Required
• Seats Available: 50/50
• PosTag(s): n/a

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

• Days/Times: MW 1:30PM - 2:45PM, F 1:30PM - 2:20PM
• Instructor: Wang, Zhiren
• Room: Ames 218; Maryland 217
• Status: Open
• Seats Available: 20/20
• PosTag(s): ROBO-CMMA

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

• Days/Times:
• Instructor: Marino, Jeffrey Robert
• Room:  
• Status: Approval Required
• Seats Available: 100/100
• PosTag(s): ROBO-CMMA

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.

• Days/Times: MW 1:30PM - 2:45PM, F 1:30PM - 2:20PM
• Instructor: McConnell, Ryan
• Room: Bloomberg 178; Bloomberg 172
• Status: Open
• Seats Available: 10/10
• PosTag(s): n/a

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.

• Days/Times:
• Instructor: Marino, Jeffrey Robert
• Room:  
• Status: Approval Required
• Seats Available: 50/50
• PosTag(s): n/a

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.

• Days/Times: MW 12:00PM - 1:15PM, F 12:00PM - 12:50PM
• Instructor: Gregoric, Rok
• Room: Maryland 104; Krieger 300
• Status: Open
• Seats Available: 20/20
• PosTag(s): n/a

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.

• Days/Times:
• Instructor: Marshburn, Nicholas A
• Room:  
• Status: Approval Required
• Seats Available: 50/50
• PosTag(s): n/a

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.

• Days/Times: TTh 10:30AM - 11:45AM, Th 4:30PM - 5:20PM
• Instructor: Brown, Richard; Staff
• Room: Krieger 307; Krieger 300
• Status: Open
• Seats Available: 20/20
• PosTag(s): n/a

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.

• Days/Times:
• Instructor: Ross, Lauren Elizabeth
• Room:  
• Status: Approval Required
• Seats Available: 50/50
• PosTag(s): n/a

Lebesgue integration and differentiation. Elementary Hilbert and Banach space theory. Baire category theorem. Continuation of AS.110.415, introduction to real analysis.

• Days/Times: MW 1:30PM - 2:45PM, F 1:30PM - 2:20PM
• Instructor: Sogge, Christopher Donald
• Room: Bloomberg 276; Bloomberg 276
• Status: Open
• Seats Available: 12/12
• PosTag(s): n/a

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.

• Days/Times: TTh 3:00PM - 4:15PM
• Instructor: Restrepo Montoya, Daniel Eduardo
• Room: Bloomberg 172
• Status: Open
• Seats Available: 12/12
• PosTag(s): n/a

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

• Days/Times: TTh 3:00PM - 4:15PM
• Instructor: Brown, Richard
• Room: Bloomberg 176
• Status: Open
• Seats Available: 17/18
• PosTag(s): n/a

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

• Days/Times: MW 3:00PM - 4:15PM
• Instructor: Stufflebeam, Hunter Alexander
• Room: Bloomberg 172
• Status: Open
• Seats Available: 15/15
• PosTag(s): n/a

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.

• Days/Times: TTh 3:00PM - 4:15PM
• Instructor: Shumakovitch, Alexander N
• Room: Maryland 202
• Status: Open
• Seats Available: 18/18
• PosTag(s): n/a

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.

• Days/Times:
• Instructor: Marshburn, Nicholas A
• Room:  
• Status: Approval Required
• Seats Available: 50/50
• PosTag(s): n/a

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).

• Days/Times: MW 4:30PM - 5:45PM
• Instructor: Maggioni, Mauro
• Room: Hodson 213
• Status: Open
• Seats Available: 50/50
• PosTag(s): ROBO-CMMA

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.

• Days/Times:
• Instructor: Im, Mee Seong
• Room:  
• Status: Approval Required
• Seats Available: 5/5
• PosTag(s): n/a

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.

• Days/Times:
• Instructor: Restrepo Montoya, Daniel Eduardo
• Room:  
• Status: Approval Required
• Seats Available: 5/5
• PosTag(s): n/a

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.

• Days/Times:
• Instructor: Im, Mee Seong
• Room:  
• Status: Approval Required
• Seats Available: 5/5
• PosTag(s): n/a

Directed Reading Program (DRP) Independent Study

• Days/Times:
• Instructor: Majure, Mitch James
• Room:  
• Status: Approval Required
• Seats Available: 5/5
• PosTag(s): n/a

Directed Reading Program (DRP) Independent Study

• Days/Times:
• Instructor: Ahmed, Mikail Yunus
• Room:  
• Status: Approval Required
• Seats Available: 5/5
• PosTag(s): n/a

Directed Reading Program (DRP) Independent Study

• Days/Times:
• Instructor: Zhao, Minghao
• Room:  
• Status: Approval Required
• Seats Available: 5/5
• PosTag(s): n/a

Directed Reading Program (DRP) Independent Study

• Days/Times:
• Instructor: Lin, Jonathan
• Room:  
• Status: Approval Required
• Seats Available: 5/5
• PosTag(s): n/a