This listing provides a snapshot of immediately available courses and may not be complete. Course registration information can be found on the Student Information Services (SIS) website. To see a complete list of courses offered and their descriptions, visit the online course catalog. Click on the course number for link to course website.
The courses overview can be found on the major requirements page. The math department also offers additional tools for course selection:
Important: sections with section number 88 are not open for enrollment by AS/EN Homewood undergraduates.
Course # (Section)
Title
Day/Times
Instructor
Location
Term
Course Details
AS.110.100 (41)
Data Analytics Workshop
Zoll, Aaron Joshua
Summer 2024
In this two-week pre-college program, students work in groups to construct and present a data analysis project which collects, organizes, cleanses, and visualizes a dataset of their choosing. Topics include exploratory data analysis, data visualization, probability distributions, data scraping and cleansing, the basics of hypothesis testing, and regression modeling. Students will primarily use Microsoft Excel. Programs like Octave (Matlab), and Octoparse, will also be introduced to help students learn the basics of data analytics.
×
Data Analytics Workshop AS.110.100 (41)
In this two-week pre-college program, students work in groups to construct and present a data analysis project which collects, organizes, cleanses, and visualizes a dataset of their choosing. Topics include exploratory data analysis, data visualization, probability distributions, data scraping and cleansing, the basics of hypothesis testing, and regression modeling. Students will primarily use Microsoft Excel. Programs like Octave (Matlab), and Octoparse, will also be introduced to help students learn the basics of data analytics.
Days/Times:
Instructor: Zoll, Aaron Joshua
Room:
Status: Open
Seats Available: 35/50
PosTag(s): n/a
AS.110.100 (51)
Data Analytics Workshop
Zoll, Aaron Joshua
Summer 2024
In this two-week pre-college program, students work in groups to construct and present a data analysis project which collects, organizes, cleanses, and visualizes a dataset of their choosing. Topics include exploratory data analysis, data visualization, probability distributions, data scraping and cleansing, the basics of hypothesis testing, and regression modeling. Students will primarily use Microsoft Excel. Programs like Octave (Matlab), and Octoparse, will also be introduced to help students learn the basics of data analytics.
×
Data Analytics Workshop AS.110.100 (51)
In this two-week pre-college program, students work in groups to construct and present a data analysis project which collects, organizes, cleanses, and visualizes a dataset of their choosing. Topics include exploratory data analysis, data visualization, probability distributions, data scraping and cleansing, the basics of hypothesis testing, and regression modeling. Students will primarily use Microsoft Excel. Programs like Octave (Matlab), and Octoparse, will also be introduced to help students learn the basics of data analytics.
Days/Times:
Instructor: Zoll, Aaron Joshua
Room:
Status: Open
Seats Available: 35/50
PosTag(s): n/a
AS.110.100 (61)
Data Analytics Workshop
Zoll, Aaron Joshua
Summer 2024
In this two-week pre-college program, students work in groups to construct and present a data analysis project which collects, organizes, cleanses, and visualizes a dataset of their choosing. Topics include exploratory data analysis, data visualization, probability distributions, data scraping and cleansing, the basics of hypothesis testing, and regression modeling. Students will primarily use Microsoft Excel. Programs like Octave (Matlab), and Octoparse, will also be introduced to help students learn the basics of data analytics.
×
Data Analytics Workshop AS.110.100 (61)
In this two-week pre-college program, students work in groups to construct and present a data analysis project which collects, organizes, cleanses, and visualizes a dataset of their choosing. Topics include exploratory data analysis, data visualization, probability distributions, data scraping and cleansing, the basics of hypothesis testing, and regression modeling. Students will primarily use Microsoft Excel. Programs like Octave (Matlab), and Octoparse, will also be introduced to help students learn the basics of data analytics.
Days/Times:
Instructor: Zoll, Aaron Joshua
Room:
Status: Open
Seats Available: 28/50
PosTag(s): n/a
AS.110.102 (88)
College Algebra
Gaines, Alexa D; Ross, Lauren Elizabeth
Summer 2024
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.
×
College Algebra AS.110.102 (88)
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: Open
Seats Available: 96/100
PosTag(s): n/a
AS.110.105 (21)
Precalculus
MTWTh 1:00PM - 3:30PM
Cutrone, Joseph W
Bloomberg 272
Summer 2024
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.
×
Precalculus AS.110.105 (21)
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: MTWTh 1:00PM - 3:30PM
Instructor: Cutrone, Joseph W
Room: Bloomberg 272
Status: Open
Seats Available: 26/30
PosTag(s): n/a
AS.110.105 (88)
Precalculus
Gaines, Alexa D
Summer 2024
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.
×
Precalculus AS.110.105 (88)
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: Open
Seats Available: 89/100
PosTag(s): n/a
AS.110.107 (88)
Calculus II (For Biology and Social Science)
Bridgman, Terry
Summer 2024
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.
×
Calculus II (For Biology and Social Science) AS.110.107 (88)
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:
Instructor: Bridgman, Terry
Room:
Status: Open
Seats Available: 85/100
PosTag(s): ROBO-CMMA
AS.110.108 (21)
Calculus I (Physical Sciences & Engineering)
MTWTh 9:00AM - 11:30AM
Kumar, Aditya
Krieger 205
Summer 2024
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.
×
Calculus I (Physical Sciences & Engineering) AS.110.108 (21)
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: MTWTh 9:00AM - 11:30AM
Instructor: Kumar, Aditya
Room: Krieger 205
Status: Open
Seats Available: 23/30
PosTag(s): ROBO-CMMA
AS.110.108 (88)
Calculus I (Physical Sciences & Engineering)
Clayton, Amanda M
Summer 2024
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.
×
Calculus I (Physical Sciences & Engineering) AS.110.108 (88)
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: Open
Seats Available: 79/100
PosTag(s): ROBO-CMMA
AS.110.109 (88)
Calculus II (Physical Sciences & Engineering)
Cutrone, Joseph W
Summer 2024
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.
×
Calculus II (Physical Sciences & Engineering) AS.110.109 (88)
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: Open
Seats Available: 80/100
PosTag(s): ROBO-CMMA
AS.110.110 (66)
Foundational Mathematics of Artificial Intelligence
MTWThF 9:30AM - 4:00PM
Sukurdeep, Yashil
Hodson 216
Summer 2024
As artificial intelligence models like ChatGPT become increasingly capable and part of our everyday life, the need to understand their inner workings intensifies. This course introduces the mathematical and statistical principles behind machine learning and AI technologies. Students will assimilate basic concepts including math models and performance measurement. They will apply software to build machine learning applications that serve as AI building blocks including linear regression, classification trees, neural networks, and reinforcement learning. Participants will be challenged to assess the quality of their analyses to better understand the opportunities for, and the limitations of AI.
×
Foundational Mathematics of Artificial Intelligence AS.110.110 (66)
As artificial intelligence models like ChatGPT become increasingly capable and part of our everyday life, the need to understand their inner workings intensifies. This course introduces the mathematical and statistical principles behind machine learning and AI technologies. Students will assimilate basic concepts including math models and performance measurement. They will apply software to build machine learning applications that serve as AI building blocks including linear regression, classification trees, neural networks, and reinforcement learning. Participants will be challenged to assess the quality of their analyses to better understand the opportunities for, and the limitations of AI.
Days/Times: MTWThF 9:30AM - 4:00PM
Instructor: Sukurdeep, Yashil
Room: Hodson 216
Status: Open
Seats Available: 1/24
PosTag(s): n/a
AS.110.110 (71)
Foundational Mathematics of Artificial Intelligence
MTWThF 9:30AM - 4:00PM
Murphy, Kenneth
Hodson 216
Summer 2024
As artificial intelligence models like ChatGPT become increasingly capable and part of our everyday life, the need to understand their inner workings intensifies. This course introduces the mathematical and statistical principles behind machine learning and AI technologies. Students will assimilate basic concepts including math models and performance measurement. They will apply software to build machine learning applications that serve as AI building blocks including linear regression, classification trees, neural networks, and reinforcement learning. Participants will be challenged to assess the quality of their analyses to better understand the opportunities for, and the limitations of AI.
×
Foundational Mathematics of Artificial Intelligence AS.110.110 (71)
As artificial intelligence models like ChatGPT become increasingly capable and part of our everyday life, the need to understand their inner workings intensifies. This course introduces the mathematical and statistical principles behind machine learning and AI technologies. Students will assimilate basic concepts including math models and performance measurement. They will apply software to build machine learning applications that serve as AI building blocks including linear regression, classification trees, neural networks, and reinforcement learning. Participants will be challenged to assess the quality of their analyses to better understand the opportunities for, and the limitations of AI.
Days/Times: MTWThF 9:30AM - 4:00PM
Instructor: Murphy, Kenneth
Room: Hodson 216
Status: Open
Seats Available: 1/24
PosTag(s): n/a
AS.110.110 (76)
Foundational Mathematics of Artificial Intelligence
MTWThF 9:30AM - 4:00PM
Sukurdeep, Yashil
Hodson 216
Summer 2024
As artificial intelligence models like ChatGPT become increasingly capable and part of our everyday life, the need to understand their inner workings intensifies. This course introduces the mathematical and statistical principles behind machine learning and AI technologies. Students will assimilate basic concepts including math models and performance measurement. They will apply software to build machine learning applications that serve as AI building blocks including linear regression, classification trees, neural networks, and reinforcement learning. Participants will be challenged to assess the quality of their analyses to better understand the opportunities for, and the limitations of AI.
×
Foundational Mathematics of Artificial Intelligence AS.110.110 (76)
As artificial intelligence models like ChatGPT become increasingly capable and part of our everyday life, the need to understand their inner workings intensifies. This course introduces the mathematical and statistical principles behind machine learning and AI technologies. Students will assimilate basic concepts including math models and performance measurement. They will apply software to build machine learning applications that serve as AI building blocks including linear regression, classification trees, neural networks, and reinforcement learning. Participants will be challenged to assess the quality of their analyses to better understand the opportunities for, and the limitations of AI.
Days/Times: MTWThF 9:30AM - 4:00PM
Instructor: Sukurdeep, Yashil
Room: Hodson 216
Status: Waitlist Only
Seats Available: 0/24
PosTag(s): n/a
AS.110.111 (71)
Math Modelling: Preparing for Calculus
MTWThF 1:15PM - 2:30PM
Braley, Emily
Maryland 110
Summer 2024
This course is designed to challenge students to apply concepts and skills needed for AS.110.105, 106 or 108 (precalculus and calculus I at Hopkins) in project-based modeling problems. The course will center on two projects with the following focii: (1) linear models, graphing linear equations, interpreting slope and intercept and applying these concepts and (2) exponential models, graphing exponential functions, interpreting initial values and growth/decay factors and applying these concepts.
×
Math Modelling: Preparing for Calculus AS.110.111 (71)
This course is designed to challenge students to apply concepts and skills needed for AS.110.105, 106 or 108 (precalculus and calculus I at Hopkins) in project-based modeling problems. The course will center on two projects with the following focii: (1) linear models, graphing linear equations, interpreting slope and intercept and applying these concepts and (2) exponential models, graphing exponential functions, interpreting initial values and growth/decay factors and applying these concepts.
Days/Times: MTWThF 1:15PM - 2:30PM
Instructor: Braley, Emily
Room: Maryland 110
Status: Open
Seats Available: 20/44
PosTag(s): n/a
AS.110.111 (76)
Math Modelling: Preparing for Advanced Mathematics
MTWThF 1:15PM - 2:30PM
Braley, Emily
Maryland 110
Summer 2024
This course is designed to challenge students to apply concepts and skills needed for AS.110.201 and 202(Calc III and Linear Algebra at Hopkins)in project-based modeling problems.The course will center on two projects with the following focii: (1) linear regression and(2)demographic modeling with matrices.
×
Math Modelling: Preparing for Advanced Mathematics AS.110.111 (76)
This course is designed to challenge students to apply concepts and skills needed for AS.110.201 and 202(Calc III and Linear Algebra at Hopkins)in project-based modeling problems.The course will center on two projects with the following focii: (1) linear regression and(2)demographic modeling with matrices.
Days/Times: MTWThF 1:15PM - 2:30PM
Instructor: Braley, Emily
Room: Maryland 110
Status: Open
Seats Available: 26/44
PosTag(s): n/a
AS.110.112 (94)
SPARK: Mathematics
Griffin, Catrish
Summer 2024
This Summer Program Advancing Readiness and Knowledge allows incoming students to work through learning modules in the preparation and learning platform ALEKS with the support of a near-peer network. Students will participate synchronously and asynchronously over a two-week period.
×
SPARK: Mathematics AS.110.112 (94)
This Summer Program Advancing Readiness and Knowledge allows incoming students to work through learning modules in the preparation and learning platform ALEKS with the support of a near-peer network. Students will participate synchronously and asynchronously over a two-week period.
Days/Times:
Instructor: Griffin, Catrish
Room:
Status: Open
Seats Available: 56/130
PosTag(s): n/a
AS.110.125 (88)
Introduction to Data Analysis
Gaines, Alexa D
Summer 2024
This online course introduces students to important concepts in data analytics across a wide range of case studies. Students will learn how to gather, analyze, and interpret data to drive strategic and operational success. They will explore how to clean and organize data for analysis, and how to perform calculations using Microsoft Excel. Topics include the data science lifecycle, probability, statistics, hypothesis testing, set theory, graphing, regression, and data ethics.
×
Introduction to Data Analysis AS.110.125 (88)
This online course introduces students to important concepts in data analytics across a wide range of case studies. Students will learn how to gather, analyze, and interpret data to drive strategic and operational success. They will explore how to clean and organize data for analysis, and how to perform calculations using Microsoft Excel. Topics include the data science lifecycle, probability, statistics, hypothesis testing, set theory, graphing, regression, and data ethics.
Days/Times:
Instructor: Gaines, Alexa D
Room:
Status: Open
Seats Available: 91/100
PosTag(s): n/a
AS.110.126 (21)
Mathematics for Sustainability
MTWTh 9:00AM - 11:30AM
Pezzi, Daniel Joseph
Maryland 110
Summer 2024
Mathematics for Sustainability covers topics in measurement, probability, statistics, dynamics, and data analysis. In this course, students will analyze, visually represent, and interpret large, real data sets from a variety of government, corporate, and non-profit sources. Through local and global case studies, students will engage in the mathematics behind environmental sustainability issues and the debates centered on them. Topics include climate change, natural resource use, waste production, air and water pollution, water scarcity, and decreasing biodiversity. The software package R is used throughout the semester.
×
Mathematics for Sustainability AS.110.126 (21)
Mathematics for Sustainability covers topics in measurement, probability, statistics, dynamics, and data analysis. In this course, students will analyze, visually represent, and interpret large, real data sets from a variety of government, corporate, and non-profit sources. Through local and global case studies, students will engage in the mathematics behind environmental sustainability issues and the debates centered on them. Topics include climate change, natural resource use, waste production, air and water pollution, water scarcity, and decreasing biodiversity. The software package R is used throughout the semester.
Days/Times: MTWTh 9:00AM - 11:30AM
Instructor: Pezzi, Daniel Joseph
Room: Maryland 110
Status: Open
Seats Available: 15/30
PosTag(s): n/a
AS.110.201 (88)
Linear Algebra
Marshburn, Nicholas A
Summer 2024
Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.
×
Linear Algebra AS.110.201 (88)
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: Open
Seats Available: 62/100
PosTag(s): ROBO-CMMA
AS.110.202 (21)
Calculus III
MTWTh 1:00PM - 3:30PM
Shumakovitch, Alexander N
Krieger 205
Summer 2024
Calculus of Several Variables. Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem.
×
Calculus III AS.110.202 (21)
Calculus of Several Variables. Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem.
Days/Times: MTWTh 1:00PM - 3:30PM
Instructor: Shumakovitch, Alexander N
Room: Krieger 205
Status: Open
Seats Available: 23/30
PosTag(s): ROBO-CMMA
AS.110.202 (88)
Calculus III
Christiansen, Teri E
Summer 2024
Non-JHU students must register by June 1 in order to participate in the course. Calculus of Several Variables. Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem.
×
Calculus III AS.110.202 (88)
Non-JHU students must register by June 1 in order to participate in the course. Calculus of Several Variables. Calculus of functions of more than one variable: partial derivatives, and applications; multiple integrals, line and surface integrals; Green's Theorem, Stokes' Theorem, and Gauss' Divergence Theorem.
Days/Times:
Instructor: Christiansen, Teri E
Room:
Status: Open
Seats Available: 53/100
PosTag(s): ROBO-CMMA
AS.110.205 (88)
Mathematics of Data Science
Ratigan, Christopher J
Summer 2024
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.
×
Mathematics of Data Science AS.110.205 (88)
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: Open
Seats Available: 18/30
PosTag(s): n/a
AS.110.275 (88)
Introduction to Probability
Marshburn, Nicholas A
Summer 2024
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
×
Introduction to Probability AS.110.275 (88)
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: Open
Seats Available: 96/100
PosTag(s): n/a
AS.110.276 (88)
Introduction to Financial Mathematics
Nichols, Bradford Scott
Summer 2024
This course is designed to develop students' understanding of fundamental concepts of financial mathematics. The course will cover mathematical theory and applications including the time value of money, annuities and cash flows, bond pricing, loans, amortization, stock and portfolio pricing, immunization of portfolios, swaps and determinants of interest rates, asset matching and convexity. A basic knowledge of calculus and an introductory knowledge of probability is assumed.
×
Introduction to Financial Mathematics AS.110.276 (88)
This course is designed to develop students' understanding of fundamental concepts of financial mathematics. The course will cover mathematical theory and applications including the time value of money, annuities and cash flows, bond pricing, loans, amortization, stock and portfolio pricing, immunization of portfolios, swaps and determinants of interest rates, asset matching and convexity. A basic knowledge of calculus and an introductory knowledge of probability is assumed.
Days/Times:
Instructor: Nichols, Bradford Scott
Room:
Status: Open
Seats Available: 90/100
PosTag(s): n/a
AS.110.301 (88)
Introduction to Proofs
Goldstein, Erich A
Summer 2024
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.
×
Introduction to Proofs AS.110.301 (88)
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: Open
Seats Available: 25/30
PosTag(s): n/a
AS.110.302 (88)
Differential Equations with Applications
Marshburn, Nicholas A
Summer 2024
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.
×
Differential Equations with Applications AS.110.302 (88)
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: Open
Seats Available: 54/100
PosTag(s): n/a
AS.110.303 (88)
The Mathematics of Politics, Democracy, and Social Choice
Ratigan, Christopher J
Summer 2024
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.
×
The Mathematics of Politics, Democracy, and Social Choice AS.110.303 (88)
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: 90/100
PosTag(s): AGRI-ELECT
AS.110.401 (88)
Introduction to Abstract Algebra
Marshburn, Nicholas A
Summer 2024
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.
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Introduction to Abstract Algebra AS.110.401 (88)
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: Open
Seats Available: 93/100
PosTag(s): n/a
AS.110.405 (88)
Real Analysis I
Marino, Jeffrey Robert
Summer 2024
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
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Real Analysis I AS.110.405 (88)
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: Open
Seats Available: 76/100
PosTag(s): n/a
AS.001.184 (01)
FYS: The Mathematics of Politics, Democracy, and Social Choice
TTh 1:30PM - 2:45PM
Cutrone, Joseph W
Krieger Laverty
Fall 2024
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.
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FYS: The Mathematics of Politics, Democracy, and Social Choice AS.001.184 (01)
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: Krieger Laverty
Status: Waitlist Only
Seats Available: 0/12
PosTag(s): AGRI-ELECT
AS.110.105 (01)
Precalculus
MWF 9:00AM - 9:50AM, T 4:30PM - 5:20PM
Ahmed, Mikail Yunus
Hodson 211
Fall 2024
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.
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Precalculus AS.110.105 (01)
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: Ahmed, Mikail Yunus
Room: Hodson 211
Status: Open
Seats Available: 11/30
PosTag(s): n/a
AS.110.106 (01)
Calculus I (Biology and Social Sciences)
MWF 10:00AM - 10:50AM, T 3:00PM - 3:50PM
Wentworth-Nice, Prairie
Remsen Hall 101
Fall 2024
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.
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Calculus I (Biology and Social Sciences) AS.110.106 (01)
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: Remsen Hall 101
Status: Open
Seats Available: 1/30
PosTag(s): ROBO-CMMA
AS.110.106 (02)
Calculus I (Biology and Social Sciences)
MWF 10:00AM - 10:50AM, T 4:30PM - 5:20PM
Wentworth-Nice, Prairie
Remsen Hall 101
Fall 2024
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.
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Calculus I (Biology and Social Sciences) AS.110.106 (02)
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: Wentworth-Nice, Prairie
Room: Remsen Hall 101
Status: Open
Seats Available: 3/30
PosTag(s): ROBO-CMMA
AS.110.106 (03)
Calculus I (Biology and Social Sciences)
MWF 10:00AM - 10:50AM, T 6:00PM - 6:50PM
Wentworth-Nice, Prairie
Remsen Hall 101
Fall 2024
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.
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Calculus I (Biology and Social Sciences) AS.110.106 (03)
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 6:00PM - 6:50PM
Instructor: Wentworth-Nice, Prairie
Room: Remsen Hall 101
Status: Open
Seats Available: 10/30
PosTag(s): ROBO-CMMA
AS.110.106 (05)
Calculus I (Biology and Social Sciences)
MWF 10:00AM - 10:50AM, Th 4:30PM - 5:20PM
Wentworth-Nice, Prairie
Remsen Hall 101
Fall 2024
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.
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Calculus I (Biology and Social Sciences) AS.110.106 (05)
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.
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.
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Calculus I (Biology and Social Sciences) AS.110.106 (09)
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: Remsen Hall 101
Status: Waitlist Only
Seats Available: 0/30
PosTag(s): ROBO-CMMA
AS.110.106 (10)
Calculus I (Biology and Social Sciences)
MWF 11:00AM - 11:50AM, T 6:00PM - 6:50PM
Wentworth-Nice, Prairie
Remsen Hall 101
Fall 2024
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.
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Calculus I (Biology and Social Sciences) AS.110.106 (10)
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: Remsen Hall 101
Status: Open
Seats Available: 2/30
PosTag(s): ROBO-CMMA
AS.110.106 (11)
Calculus I (Biology and Social Sciences)
MWF 11:00AM - 11:50AM, Th 3:00PM - 3:50PM
Wentworth-Nice, Prairie
Remsen Hall 101
Fall 2024
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.
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Calculus I (Biology and Social Sciences) AS.110.106 (11)
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.
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.
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Calculus I (Biology and Social Sciences) AS.110.106 (12)
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.
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.
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Calculus II (For Biological and Social Science) AS.110.107 (01)
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 6:00PM - 6:50PM
Instructor: Campion, Tim Francis
Room: Maryland 110
Status: Open
Seats Available: 7/30
PosTag(s): ROBO-CMMA
AS.110.107 (02)
Calculus II (For Biological and Social Science)
MWF 10:00AM - 10:50AM, T 4:30PM - 5:20PM
Campion, Tim Francis
Maryland 110
Fall 2024
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.
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Calculus II (For Biological and Social Science) AS.110.107 (02)
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: Campion, Tim Francis
Room: Maryland 110
Status: Open
Seats Available: 2/30
PosTag(s): ROBO-CMMA
AS.110.107 (03)
Calculus II (For Biological and Social Science)
MWF 10:00AM - 10:50AM, Th 4:30PM - 5:20PM
Campion, Tim Francis
Maryland 110
Fall 2024
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.
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Calculus II (For Biological and Social Science) AS.110.107 (03)
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.
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.
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Calculus II (For Biological and Social Science) AS.110.107 (04)
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.
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.
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Calculus I (Physical Sciences & Engineering) AS.110.108 (02)
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: Marshall-Stevens, Kobe
Room: Hodson 210
Status: Open
Seats Available: 9/30
PosTag(s): ROBO-CMMA
AS.110.108 (03)
Calculus I (Physical Sciences & Engineering)
MWF 10:00AM - 10:50AM, Th 4:30PM - 5:20PM
Marshall-Stevens, Kobe
Hodson 210
Fall 2024
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.
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Calculus I (Physical Sciences & Engineering) AS.110.108 (03)
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.
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.
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Calculus I (Physical Sciences & Engineering) AS.110.108 (04)
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: Marshall-Stevens, Kobe
Room: Hodson 210
Status: Waitlist Only
Seats Available: 0/30
PosTag(s): ROBO-CMMA
AS.110.108 (07)
Calculus I (Physical Sciences & Engineering)
MWF 11:00AM - 11:50AM, Th 6:00PM - 6:50PM
Marshall-Stevens, Kobe
Hodson 210
Fall 2024
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.
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Calculus I (Physical Sciences & Engineering) AS.110.108 (07)
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.
Calculus II (For Physical Sciences and Engineering)
MWF 10:00AM - 10:50AM, T 3:00PM - 3:50PM
Li, Huajie
Shaffer 301
Fall 2024
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.
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Calculus II (For Physical Sciences and Engineering) AS.110.109 (01)
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 3:00PM - 3:50PM
Instructor: Li, Huajie
Room: Shaffer 301
Status: Waitlist Only
Seats Available: 0/30
PosTag(s): ROBO-CMMA
AS.110.109 (02)
Calculus II (For Physical Sciences and Engineering)
MWF 10:00AM - 10:50AM, T 6:00PM - 6:50PM
Li, Huajie
Shaffer 301
Fall 2024
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.
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Calculus II (For Physical Sciences and Engineering) AS.110.109 (02)
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 6:00PM - 6:50PM
Instructor: Li, Huajie
Room: Shaffer 301
Status: Open
Seats Available: 10/30
PosTag(s): ROBO-CMMA
AS.110.109 (03)
Calculus II (For Physical Sciences and Engineering)
MWF 10:00AM - 10:50AM, Th 4:30PM - 5:20PM
Li, Huajie
Shaffer 301
Fall 2024
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.
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Calculus II (For Physical Sciences and Engineering) AS.110.109 (03)
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.
Calculus II (For Physical Sciences and Engineering)
MWF 11:00AM - 11:50AM, T 4:30PM - 5:20PM
Li, Huajie
Mergenthaler 111
Fall 2024
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.
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Calculus II (For Physical Sciences and Engineering) AS.110.109 (04)
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, T 4:30PM - 5:20PM
Instructor: Li, Huajie
Room: Mergenthaler 111
Status: Open
Seats Available: 3/30
PosTag(s): ROBO-CMMA
AS.110.109 (05)
Calculus II (For Physical Sciences and Engineering)
MWF 11:00AM - 11:50AM, T 6:00PM - 6:50PM
Li, Huajie
Mergenthaler 111
Fall 2024
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.
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Calculus II (For Physical Sciences and Engineering) AS.110.109 (05)
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, T 6:00PM - 6:50PM
Instructor: Li, Huajie
Room: Mergenthaler 111
Status: Open
Seats Available: 6/30
PosTag(s): ROBO-CMMA
AS.110.109 (07)
Calculus II (For Physical Sciences and Engineering)
MWF 11:00AM - 11:50AM, Th 4:30PM - 5:20PM
Li, Huajie
Mergenthaler 111
Fall 2024
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.
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Calculus II (For Physical Sciences and Engineering) AS.110.109 (07)
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.
Calculus II (For Physical Sciences and Engineering)
MWF 11:00AM - 11:50AM, Th 6:00PM - 6:50PM
Li, Huajie
Mergenthaler 111
Fall 2024
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.
×
Calculus II (For Physical Sciences and Engineering) AS.110.109 (08)
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.
Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.
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Linear Algebra AS.110.201 (01)
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 3:00PM - 3:50PM
Instructor: Riehl, EMILY
Room: Krieger 205
Status: Waitlist Only
Seats Available: 0/24
PosTag(s): ROBO-CMMA
AS.110.201 (02)
Linear Algebra
MWF 10:00AM - 10:50AM, T 4:30PM - 5:20PM
Riehl, EMILY
Krieger 205
Fall 2024
Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.
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Linear Algebra AS.110.201 (02)
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 4:30PM - 5:20PM
Instructor: Riehl, EMILY
Room: Krieger 205
Status: Open
Seats Available: 2/24
PosTag(s): ROBO-CMMA
AS.110.201 (03)
Linear Algebra
MWF 10:00AM - 10:50AM, T 6:00PM - 6:50PM
Riehl, EMILY
Krieger 205
Fall 2024
Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.
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Linear Algebra AS.110.201 (03)
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: Riehl, EMILY
Room: Krieger 205
Status: Open
Seats Available: 4/24
PosTag(s): ROBO-CMMA
AS.110.201 (04)
Linear Algebra
MWF 10:00AM - 10:50AM, Th 3:00PM - 3:50PM
Riehl, EMILY
Krieger 205
Fall 2024
Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.
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Linear Algebra AS.110.201 (04)
Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.
Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.
×
Linear Algebra AS.110.201 (05)
Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.
Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.
×
Linear Algebra AS.110.201 (06)
Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.
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.
×
Calculus III AS.110.202 (01)
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: Brown, Richard
Room: Shaffer 3
Status: Open
Seats Available: 1/24
PosTag(s): ROBO-CMMA
AS.110.202 (02)
Calculus III
MWF 11:00AM - 11:50AM, T 3:00PM - 3:50PM
Brown, Richard
Shaffer 3
Fall 2024
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.
×
Calculus III AS.110.202 (02)
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: Brown, Richard
Room: Shaffer 3
Status: Open
Seats Available: 4/24
PosTag(s): ROBO-CMMA
AS.110.202 (03)
Calculus III
MWF 11:00AM - 11:50AM, T 4:30PM - 5:20PM
Brown, Richard
Shaffer 3
Fall 2024
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.
×
Calculus III AS.110.202 (03)
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: Brown, Richard
Room: Shaffer 3
Status: Open
Seats Available: 1/24
PosTag(s): ROBO-CMMA
AS.110.202 (04)
Calculus III
MWF 11:00AM - 11:50AM, T 6:00PM - 6:50PM
Brown, Richard
Shaffer 3
Fall 2024
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.
×
Calculus III AS.110.202 (04)
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: Brown, Richard
Room: Shaffer 3
Status: Open
Seats Available: 2/24
PosTag(s): ROBO-CMMA
AS.110.202 (05)
Calculus III
MWF 11:00AM - 11:50AM, Th 3:00PM - 3:50PM
Brown, Richard
Shaffer 3
Fall 2024
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.
×
Calculus III AS.110.202 (05)
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.
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.
×
Calculus III AS.110.202 (06)
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.
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.
×
Calculus III AS.110.202 (07)
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.
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.
×
Calculus III AS.110.202 (08)
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: Brown, Richard
Room: Shaffer 3
Status: Open
Seats Available: 1/24
PosTag(s): ROBO-CMMA
AS.110.202 (09)
Calculus III
MWF 12:00PM - 12:50PM, T 4:30PM - 5:20PM
Brown, Richard
Shaffer 3
Fall 2024
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.
×
Calculus III AS.110.202 (09)
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: Brown, Richard
Room: Shaffer 3
Status: Open
Seats Available: 1/24
PosTag(s): ROBO-CMMA
AS.110.202 (10)
Calculus III
MWF 12:00PM - 12:50PM, T 6:00PM - 6:50PM
Brown, Richard
Shaffer 3
Fall 2024
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.
×
Calculus III AS.110.202 (10)
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: Brown, Richard
Room: Shaffer 3
Status: Open
Seats Available: 2/24
PosTag(s): ROBO-CMMA
AS.110.202 (11)
Calculus III
MWF 12:00PM - 12:50PM, Th 3:00PM - 3:50PM
Brown, Richard
Shaffer 3
Fall 2024
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.
×
Calculus III AS.110.202 (11)
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.
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.
×
Calculus III AS.110.202 (12)
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.
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.
×
Calculus III AS.110.202 (13)
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.
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.
×
Calculus III AS.110.202 (14)
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.
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.
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Honors Linear Algebra AS.110.212 (01)
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 301
Status: Open
Seats Available: 15/30
PosTag(s): ROBO-CMMA
AS.110.225 (01)
Problem Solving Lab
Th 3:00PM - 4:40PM
Chedalavada, Anish V
Bloomberg 178
Fall 2024
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.
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Problem Solving Lab AS.110.225 (01)
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: Th 3:00PM - 4:40PM
Instructor: Chedalavada, Anish V
Room: Bloomberg 178
Status: Open
Seats Available: 6/12
PosTag(s): n/a
AS.110.301 (01)
Introduction to Proofs
MW 1:30PM - 2:45PM, F 1:30PM - 2:20PM
Rijke, Egbert
Fall 2024
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.
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Introduction to Proofs AS.110.301 (01)
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: Rijke, Egbert
Room:
Status: Open
Seats Available: 26/30
PosTag(s): n/a
AS.110.302 (01)
Differential Equations and Applications
MWF 12:00PM - 12:50PM, T 4:30PM - 5:20PM
Wu, Yueqiao
Maryland 110
Fall 2024
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.
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Differential Equations and Applications AS.110.302 (01)
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: Wu, Yueqiao
Room: Maryland 110
Status: Waitlist Only
Seats Available: 0/24
PosTag(s): n/a
AS.110.302 (02)
Differential Equations and Applications
MWF 12:00PM - 12:50PM, Th 4:30PM - 5:20PM
Wu, Yueqiao
Maryland 110
Fall 2024
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.
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Differential Equations and Applications AS.110.302 (02)
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.
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.
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Differential Equations and Applications AS.110.302 (03)
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.
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.
×
Differential Equations and Applications AS.110.302 (04)
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: Wu, Yueqiao
Room: Shaffer 303
Status: Waitlist Only
Seats Available: 0/24
PosTag(s): n/a
AS.110.302 (05)
Differential Equations and Applications
MWF 1:30PM - 2:20PM, T 4:30PM - 5:20PM
Wu, Yueqiao
Shaffer 303
Fall 2024
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.
×
Differential Equations and Applications AS.110.302 (05)
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: Wu, Yueqiao
Room: Shaffer 303
Status: Waitlist Only
Seats Available: 0/24
PosTag(s): n/a
AS.110.302 (06)
Differential Equations and Applications
MWF 1:30PM - 2:20PM, Th 6:00PM - 6:50PM
Wu, Yueqiao
Shaffer 303
Fall 2024
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.
×
Differential Equations and Applications AS.110.302 (06)
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.
The Mathematics of Politics, Democracy, and Social Choice
Ratigan, Christopher J
Fall 2024
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.
×
The Mathematics of Politics, Democracy, and Social Choice AS.110.303 (88)
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: 15/25
PosTag(s): AGRI-ELECT
AS.110.304 (01)
Elementary Number Theory
TTh 9:00AM - 10:15AM, F 9:00AM - 9:50AM
Sunohara, Matthew Tyler Toyoharu
Maryland 104
Fall 2024
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.
×
Elementary Number Theory AS.110.304 (01)
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: Sunohara, Matthew Tyler Toyoharu
Room: Maryland 104
Status: Open
Seats Available: 15/19
PosTag(s): n/a
AS.110.311 (01)
Methods of Complex Analysis
TTh 12:00PM - 1:15PM, Th 4:30PM - 5:20PM
Wang, Yi
Ames 234
Fall 2024
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.
×
Methods of Complex Analysis AS.110.311 (01)
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.
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.
×
Introduction to Abstract Algebra AS.110.401 (01)
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: Park, Chamsol
Room: Bloomberg 172
Status: Open
Seats Available: 9/18
PosTag(s): n/a
AS.110.405 (01)
Real Analysis I
MW 1:30PM - 2:45PM, F 1:30PM - 2:20PM
Shumakovitch, Alexander N
Shaffer 2
Fall 2024
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
×
Real Analysis I AS.110.405 (01)
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: Shumakovitch, Alexander N
Room: Shaffer 2
Status: Open
Seats Available: 9/30
PosTag(s): BMED-CB
AS.110.407 (01)
Honors Complex Analysis
TTh 12:00PM - 1:15PM
Gregoric, Rok
Maryland 217
Fall 2024
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.
×
Honors Complex Analysis AS.110.407 (01)
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: Gregoric, Rok
Room: Maryland 217
Status: Open
Seats Available: 20/24
PosTag(s): n/a
AS.110.411 (01)
Honors Algebra I
MW 12:00PM - 1:15PM, F 12:00PM - 12:50PM
Meng, Fanjun
Maryland 104
Fall 2024
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.
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Honors Algebra I AS.110.411 (01)
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: Meng, Fanjun
Room: Maryland 104
Status: Open
Seats Available: 6/24
PosTag(s): n/a
AS.110.412 (88)
Honors Algebra II
Nakade, Apurva
Fall 2024
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.
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Honors Algebra II AS.110.412 (88)
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: Nakade, Apurva
Room:
Status: Open
Seats Available: 48/50
PosTag(s): n/a
AS.110.413 (88)
Introduction To Topology
Ross, Lauren Elizabeth
Fall 2024
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.
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Introduction To Topology AS.110.413 (88)
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: Open
Seats Available: 46/50
PosTag(s): n/a
AS.110.415 (01)
Honors Analysis I
MW 1:30PM - 2:45PM, F 1:30PM - 2:20PM
Maggioni, Mauro
Maryland 217
Fall 2024
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.
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Honors Analysis I AS.110.415 (01)
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 1:30PM - 2:45PM, F 1:30PM - 2:20PM
Instructor: Maggioni, Mauro
Room: Maryland 217
Status: Open
Seats Available: 8/24
PosTag(s): n/a
AS.110.422 (01)
Representation Theory
MW 4:30PM - 5:45PM
Khovanov, Mikhail
Gilman 400
Fall 2024
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.
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Representation Theory AS.110.422 (01)
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: MW 4:30PM - 5:45PM
Instructor: Khovanov, Mikhail
Room: Gilman 400
Status: Open
Seats Available: 13/19
PosTag(s): n/a
AS.110.439 (01)
Introduction To Differential Geometry
TTh 1:30PM - 2:45PM
Restrepo Montoya, Daniel Eduardo
Maryland 104
Fall 2024
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.
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Introduction To Differential Geometry AS.110.439 (01)
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: Maryland 104
Status: Open
Seats Available: 17/24
PosTag(s): n/a
AS.110.102 (88)
College Algebra
Gaines, Alexa D; Ross, Lauren Elizabeth
Spring 2025
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.
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College Algebra AS.110.102 (88)
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: 49/50
PosTag(s): n/a
AS.110.105 (88)
Precalculus
Gaines, Alexa D
Spring 2025
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.
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Precalculus AS.110.105 (88)
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: 48/50
PosTag(s): n/a
AS.110.106 (01)
Calculus I (Biology and Social Sciences)
MWF 10:00AM - 10:50AM, T 4:30PM - 5:20PM
Brown, Richard
Krieger 205
Spring 2025
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.
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Calculus I (Biology and Social Sciences) AS.110.106 (01)
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: Brown, Richard
Room: Krieger 205
Status: Open
Seats Available: 13/30
PosTag(s): ROBO-CMMA
AS.110.106 (02)
Calculus I (Biology and Social Sciences)
MWF 10:00AM - 10:50AM, Th 3:00PM - 3:50PM
Brown, Richard
Krieger 205
Spring 2025
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.
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Calculus I (Biology and Social Sciences) AS.110.106 (02)
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.
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.
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Calculus I (Biology and Social Sciences) AS.110.106 (03)
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.
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.
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Calculus II (For Biological and Social Science) AS.110.107 (01)
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: Remsen Hall 101
Status: Open
Seats Available: 26/30
PosTag(s): ROBO-CMMA
AS.110.107 (02)
Calculus II (For Biological and Social Science)
MWF 9:00AM - 9:50AM, T 4:30PM - 5:20PM
Wentworth-Nice, Prairie
Remsen Hall 101
Spring 2025
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.
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Calculus II (For Biological and Social Science) AS.110.107 (02)
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: Remsen Hall 101
Status: Open
Seats Available: 8/30
PosTag(s): ROBO-CMMA
AS.110.107 (03)
Calculus II (For Biological and Social Science)
MWF 9:00AM - 9:50AM, T 6:00PM - 6:50PM
Wentworth-Nice, Prairie
Remsen Hall 101
Spring 2025
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.
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Calculus II (For Biological and Social Science) AS.110.107 (03)
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 6:00PM - 6:50PM
Instructor: Wentworth-Nice, Prairie
Room: Remsen Hall 101
Status: Open
Seats Available: 21/30
PosTag(s): ROBO-CMMA
AS.110.107 (04)
Calculus II (For Biological and Social Science)
MWF 9:00AM - 9:50AM, Th 1:30PM - 2:20PM
Wentworth-Nice, Prairie
Remsen Hall 101
Spring 2025
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.
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Calculus II (For Biological and Social Science) AS.110.107 (04)
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.
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.
×
Calculus II (For Biological and Social Science) AS.110.107 (05)
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.
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.
×
Calculus II (For Biological and Social Science) AS.110.107 (06)
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.
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.
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Calculus II (For Biological and Social Science) AS.110.107 (07)
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: Remsen Hall 101
Status: Waitlist Only
Seats Available: 1/30
PosTag(s): ROBO-CMMA
AS.110.107 (08)
Calculus II (For Biological and Social Science)
MWF 11:00AM - 11:50AM, T 6:00PM - 6:50PM
Wentworth-Nice, Prairie
Remsen Hall 101
Spring 2025
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.
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Calculus II (For Biological and Social Science) AS.110.107 (08)
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: Remsen Hall 101
Status: Waitlist Only
Seats Available: 0/30
PosTag(s): ROBO-CMMA
AS.110.107 (09)
Calculus II (For Biological and Social Science)
MWF 11:00AM - 11:50AM, Th 3:00PM - 3:50PM
Wentworth-Nice, Prairie
Remsen Hall 101
Spring 2025
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.
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Calculus II (For Biological and Social Science) AS.110.107 (09)
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.
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.
×
Calculus II (For Biological and Social Science) AS.110.107 (10)
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.
Calculus I (For Physical Sciences and Engineering)
Clayton, Amanda M
Spring 2025
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.
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Calculus I (For Physical Sciences and Engineering) AS.110.108 (88)
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: 46/50
PosTag(s): ROBO-CMMA
AS.110.109 (01)
Calculus II (For Physical Sciences and Engineering)
MWF 10:00AM - 10:50AM, T 8:00AM - 8:50AM
Cutrone, Joseph W
Maryland 110
Spring 2025
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.
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Calculus II (For Physical Sciences and Engineering) AS.110.109 (01)
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: Cutrone, Joseph W
Room: Maryland 110
Status: Waitlist Only
Seats Available: 0/30
PosTag(s): ROBO-CMMA
AS.110.109 (02)
Calculus II (For Physical Sciences and Engineering)
MWF 10:00AM - 10:50AM, T 6:00PM - 6:50PM
Cutrone, Joseph W
Maryland 110
Spring 2025
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.
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Calculus II (For Physical Sciences and Engineering) AS.110.109 (02)
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: Cutrone, Joseph W
Room: Maryland 110
Status: Waitlist Only
Seats Available: 0/30
PosTag(s): ROBO-CMMA
AS.110.109 (03)
Calculus II (For Physical Sciences and Engineering)
MWF 10:00AM - 10:50AM, Th 1:30PM - 2:20PM
Cutrone, Joseph W
Maryland 110
Spring 2025
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.
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Calculus II (For Physical Sciences and Engineering) AS.110.109 (03)
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.
Calculus II (For Physical Sciences and Engineering)
MWF 3:00PM - 3:50PM, T 3:00PM - 3:50PM
Im, Mee Seong
Hodson 210
Spring 2025
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.
×
Calculus II (For Physical Sciences and Engineering) AS.110.109 (04)
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: Im, Mee Seong
Room: Hodson 210
Status: Open
Seats Available: 11/30
PosTag(s): ROBO-CMMA
AS.110.109 (05)
Calculus II (For Physical Sciences and Engineering)
MWF 3:00PM - 3:50PM, T 7:00PM - 7:50PM
Im, Mee Seong
Hodson 210
Spring 2025
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.
×
Calculus II (For Physical Sciences and Engineering) AS.110.109 (05)
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: Im, Mee Seong
Room: Hodson 210
Status: Open
Seats Available: 24/30
PosTag(s): ROBO-CMMA
AS.110.109 (06)
Calculus II (For Physical Sciences and Engineering)
MWF 3:00PM - 3:50PM, Th 4:30PM - 5:20PM
Im, Mee Seong
Hodson 210
Spring 2025
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.
×
Calculus II (For Physical Sciences and Engineering) AS.110.109 (06)
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.
Calculus II (For Physical Sciences and Engineering)
Clayton, Amanda M
Spring 2025
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.
×
Calculus II (For Physical Sciences and Engineering) AS.110.109 (88)
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: 44/50
PosTag(s): ROBO-CMMA
AS.110.125 (88)
Introduction to Data Analysis
Gaines, Alexa D
Spring 2025
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.
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Introduction to Data Analysis AS.110.125 (88)
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: 100/100
PosTag(s): n/a
AS.110.201 (01)
Linear Algebra
MWF 9:00AM - 9:50AM, T 1:30PM - 2:20PM
Gregoric, Rok
Krieger 205
Spring 2025
Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.
×
Linear Algebra AS.110.201 (01)
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: Gregoric, Rok
Room: Krieger 205
Status: Open
Seats Available: 4/24
PosTag(s): ROBO-CMMA
AS.110.201 (02)
Linear Algebra
MWF 9:00AM - 9:50AM, T 4:30PM - 5:20PM
Gregoric, Rok
Krieger 205
Spring 2025
Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.
×
Linear Algebra AS.110.201 (02)
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: Gregoric, Rok
Room: Krieger 205
Status: Open
Seats Available: 11/24
PosTag(s): ROBO-CMMA
AS.110.201 (03)
Linear Algebra
MWF 9:00AM - 9:50AM, Th 8:00PM - 8:50PM
Gregoric, Rok
Krieger 205
Spring 2025
Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.
×
Linear Algebra AS.110.201 (03)
Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.
Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.
×
Linear Algebra AS.110.201 (04)
Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.
Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.
×
Linear Algebra AS.110.201 (05)
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: Gregoric, Rok
Room: Krieger 205
Status: Waitlist Only
Seats Available: 0/24
PosTag(s): ROBO-CMMA
AS.110.201 (06)
Linear Algebra
MWF 12:00PM - 12:50PM, T 3:00PM - 3:50PM
Gregoric, Rok
Krieger 205
Spring 2025
Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.
×
Linear Algebra AS.110.201 (06)
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: Gregoric, Rok
Room: Krieger 205
Status: Open
Seats Available: 13/24
PosTag(s): ROBO-CMMA
AS.110.201 (07)
Linear Algebra
MWF 12:00PM - 12:50PM, Th 3:00PM - 3:50PM
Gregoric, Rok
Krieger 205
Spring 2025
Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.
×
Linear Algebra AS.110.201 (07)
Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.
Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.
×
Linear Algebra AS.110.201 (08)
Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.
Vector spaces, matrices, and linear transformations. Solutions of systems of linear equations. Eigenvalues, eigenvectors, and diagonalization of matrices. Applications to differential equations.
×
Linear Algebra AS.110.201 (88)
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: 96/100
PosTag(s): ROBO-CMMA
AS.110.202 (01)
Calculus III
MWF 11:00AM - 11:50AM, T 3:00PM - 3:50PM
Corato Zanarella, Murilo
Krieger 205
Spring 2025
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.
×
Calculus III AS.110.202 (01)
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: Corato Zanarella, Murilo
Room: Krieger 205
Status: Waitlist Only
Seats Available: 0/24
PosTag(s): ROBO-CMMA
AS.110.202 (02)
Calculus III
MWF 11:00AM - 11:50AM, T 6:00PM - 6:50PM
Corato Zanarella, Murilo
Krieger 205
Spring 2025
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.
×
Calculus III AS.110.202 (02)
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: Corato Zanarella, Murilo
Room: Krieger 205
Status: Open
Seats Available: 4/24
PosTag(s): ROBO-CMMA
AS.110.202 (03)
Calculus III
MWF 11:00AM - 11:50AM, Th 9:00AM - 9:50AM
Corato Zanarella, Murilo
Krieger 205
Spring 2025
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.
×
Calculus III AS.110.202 (03)
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.
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.
×
Calculus III AS.110.202 (04)
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.
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.
×
Calculus III AS.110.202 (05)
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.
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.
×
Calculus III AS.110.202 (06)
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: Corato Zanarella, Murilo
Room: Maryland 110
Status: Open
Seats Available: 3/24
PosTag(s): ROBO-CMMA
AS.110.202 (07)
Calculus III
MWF 12:00PM - 12:50PM, T 4:30PM - 5:20PM
Corato Zanarella, Murilo
Maryland 110
Spring 2025
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.
×
Calculus III AS.110.202 (07)
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: Corato Zanarella, Murilo
Room: Maryland 110
Status: Open
Seats Available: 3/24
PosTag(s): ROBO-CMMA
AS.110.202 (08)
Calculus III
MWF 12:00PM - 12:50PM, Th 4:30PM - 5:20PM
Corato Zanarella, Murilo
Maryland 110
Spring 2025
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.
×
Calculus III AS.110.202 (08)
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.
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.
×
Calculus III AS.110.202 (09)
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.
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.
×
Calculus III AS.110.202 (88)
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: Approval Required
Seats Available: 49/50
PosTag(s): ROBO-CMMA
AS.110.205 (88)
Mathematics of Data Science
Ratigan, Christopher J
Spring 2025
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.
×
Mathematics of Data Science AS.110.205 (88)
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
AS.110.211 (01)
Honors Multivariable Calculus
MW 1:30PM - 2:45PM, F 1:30PM - 2:20PM
Shumakovitch, Alexander N
Spring 2025
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.
×
Honors Multivariable Calculus AS.110.211 (01)
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: Shumakovitch, Alexander N
Room:
Status: Open
Seats Available: 17/20
PosTag(s): ROBO-CMMA
AS.110.212 (01)
Honors Linear Algebra
MW 1:30PM - 2:45PM, F 1:30PM - 2:20PM
Sire, Yannick
Maryland 217
Spring 2025
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.
×
Honors Linear Algebra AS.110.212 (01)
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: Sire, Yannick
Room: Maryland 217
Status: Open
Seats Available: 13/18
PosTag(s): ROBO-CMMA
AS.110.275 (88)
Introduction to Probability
Marshburn, Nicholas A
Spring 2025
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
×
Introduction to Probability AS.110.275 (88)
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: 99/100
PosTag(s): n/a
AS.110.301 (01)
Introduction to Proofs
MW 3:00PM - 4:15PM, F 3:00PM - 3:50PM
Campion, Tim Francis
Spring 2025
This course will provide a practical introduction to mathematical proofs with the aim of developing fluency in the language of mathematics, which itself is often described as “the language of the universe.” Along with a library of proof techniques, we shall tour propositional logic, set theory, cardinal arithmetic, and metric topology and explore “proof relevant” mathematics by interacting with a computer proof assistant. This course on the construction of mathematical proof will conclude with a deconstruction of mathematical proof, interrogating the extent to which proof serves as a means to discover universal truths and assessing the mechanisms by which the mathematical community achieves consensus regarding whether a claimed result has been proven.
×
Introduction to Proofs AS.110.301 (01)
This course will provide a practical introduction to mathematical proofs with the aim of developing fluency in the language of mathematics, which itself is often described as “the language of the universe.” Along with a library of proof techniques, we shall tour propositional logic, set theory, cardinal arithmetic, and metric topology and explore “proof relevant” mathematics by interacting with a computer proof assistant. This course on the construction of mathematical proof will conclude with a deconstruction of mathematical proof, interrogating the extent to which proof serves as a means to discover universal truths and assessing the mechanisms by which the mathematical community achieves consensus regarding whether a claimed result has been proven.
Days/Times: MW 3:00PM - 4:15PM, F 3:00PM - 3:50PM
Instructor: Campion, Tim Francis
Room:
Status: Open
Seats Available: 17/20
PosTag(s): n/a
AS.110.301 (88)
Introduction to Proofs
Goldstein, Erich A
Spring 2025
This course will provide a practical introduction to mathematical proofs with the aim of developing fluency in the language of mathematics, which itself is often described as “the language of the universe.” Along with a library of proof techniques, we shall tour propositional logic, set theory, cardinal arithmetic, and metric topology and explore “proof relevant” mathematics by interacting with a computer proof assistant. This course on the construction of mathematical proof will conclude with a deconstruction of mathematical proof, interrogating the extent to which proof serves as a means to discover universal truths and assessing the mechanisms by which the mathematical community achieves consensus regarding whether a claimed result has been proven.
×
Introduction to Proofs AS.110.301 (88)
This course will provide a practical introduction to mathematical proofs with the aim of developing fluency in the language of mathematics, which itself is often described as “the language of the universe.” Along with a library of proof techniques, we shall tour propositional logic, set theory, cardinal arithmetic, and metric topology and explore “proof relevant” mathematics by interacting with a computer proof assistant. This course on the construction of mathematical proof will conclude with a deconstruction of mathematical proof, interrogating the extent to which proof serves as a means to discover universal truths and assessing the mechanisms by which the mathematical community achieves consensus regarding whether a claimed result has been proven.
Days/Times:
Instructor: Goldstein, Erich A
Room:
Status: Approval Required
Seats Available: 49/50
PosTag(s): n/a
AS.110.302 (01)
Differential Equations and Applications
MWF 12:00PM - 12:50PM, T 4:30PM - 5:20PM
Meng, Fanjun
Olin 305
Spring 2025
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.
×
Differential Equations and Applications AS.110.302 (01)
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: Meng, Fanjun
Room: Olin 305
Status: Waitlist Only
Seats Available: 0/24
PosTag(s): n/a
AS.110.302 (02)
Differential Equations and Applications
MWF 12:00PM - 12:50PM, Th 3:00PM - 3:50PM
Meng, Fanjun
Olin 305
Spring 2025
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.
×
Differential Equations and Applications AS.110.302 (02)
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.
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.
×
Differential Equations and Applications AS.110.302 (03)
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.
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.
×
Differential Equations and Applications AS.110.302 (04)
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.
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.
×
Differential Equations and Applications AS.110.302 (05)
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: Meng, Fanjun
Room: Bloomberg 278
Status: Waitlist Only
Seats Available: 0/24
PosTag(s): n/a
AS.110.302 (06)
Differential Equations and Applications
MWF 1:30PM - 2:20PM, T 4:30PM - 5:20PM
Meng, Fanjun
Bloomberg 278
Spring 2025
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.
×
Differential Equations and Applications AS.110.302 (06)
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: Meng, Fanjun
Room: Bloomberg 278
Status: Waitlist Only
Seats Available: 0/24
PosTag(s): n/a
AS.110.302 (88)
Differential Equations and Applications
Marshburn, Nicholas A
Spring 2025
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.
×
Differential Equations and Applications AS.110.302 (88)
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
AS.110.303 (88)
The Mathematics of Politics, Democracy, and Social Choice
Ratigan, Christopher J
Spring 2025
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.
×
The Mathematics of Politics, Democracy, and Social Choice AS.110.303 (88)
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: 5/20
PosTag(s): n/a
AS.110.304 (01)
Elementary Number Theory
TTh 9:00AM - 10:15AM, F 9:00AM - 9:50AM
Rijke, Egbert
Krieger 302
Spring 2025
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.
×
Elementary Number Theory AS.110.304 (01)
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 302
Status: Open
Seats Available: 14/20
PosTag(s): n/a
AS.110.304 (88)
Elementary Number Theory
Marshburn, Nicholas A
Spring 2025
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.
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Elementary Number Theory AS.110.304 (88)
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: Approval Required
Seats Available: 50/50
PosTag(s): n/a
AS.110.311 (01)
Methods of Complex Analysis
TTh 12:00PM - 1:15PM, F 12:00PM - 12:50PM
Mese, CHIKAKO
Maryland 309
Spring 2025
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.
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Methods of Complex Analysis AS.110.311 (01)
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: Mese, CHIKAKO
Room: Maryland 309
Status: Open
Seats Available: 11/20
PosTag(s): n/a
AS.110.311 (88)
Methods of Complex Analysis
Goldstein, Erich A
Spring 2025
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.
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Methods of Complex Analysis AS.110.311 (88)
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
AS.110.375 (88)
Introduction to Mathematical Cryptography
Ross, Lauren Elizabeth
Spring 2025
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.
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Introduction to Mathematical Cryptography AS.110.375 (88)
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: Approval Required
Seats Available: 50/50
PosTag(s): n/a
AS.110.401 (01)
Introduction to Abstract Algebra
MW 12:00PM - 1:15PM, F 12:00PM - 12:50PM
Wu, Yueqiao
Maryland 217
Spring 2025
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.
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Introduction to Abstract Algebra AS.110.401 (01)
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: Wu, Yueqiao
Room: Maryland 217
Status: Open
Seats Available: 14/20
PosTag(s): n/a
AS.110.401 (88)
Introduction to Abstract Algebra
Marshburn, Nicholas A
Spring 2025
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.
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Introduction to Abstract Algebra AS.110.401 (88)
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: 48/50
PosTag(s): n/a
AS.110.405 (01)
Real Analysis I
MW 1:30PM - 2:45PM, F 1:30PM - 2:20PM
Bernstein, Jacob
Bloomberg 168
Spring 2025
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
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Real Analysis I AS.110.405 (01)
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: Bernstein, Jacob
Room: Bloomberg 168
Status: Open
Seats Available: 1/26
PosTag(s): ROBO-CMMA
AS.110.405 (88)
Real Analysis I
Marino, Jeffrey Robert
Spring 2025
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
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Real Analysis I AS.110.405 (88)
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: 96/100
PosTag(s): ROBO-CMMA
AS.110.406 (01)
Real Analysis II
MW 1:30PM - 2:45PM, F 1:30PM - 2:20PM
Zhao, Zihui
Bloomberg 178
Spring 2025
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.
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Real Analysis II AS.110.406 (01)
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: Zhao, Zihui
Room: Bloomberg 178
Status: Open
Seats Available: 2/10
PosTag(s): n/a
AS.110.406 (88)
Real Analysis II
Marino, Jeffrey Robert
Spring 2025
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.
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Real Analysis II AS.110.406 (88)
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: 48/50
PosTag(s): n/a
AS.110.412 (01)
Honors Algebra II
MW 12:00PM - 1:15PM, F 12:00PM - 12:50PM
Consani, Caterina (Katia)
Krieger 300
Spring 2025
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.
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Honors Algebra II AS.110.412 (01)
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: Consani, Caterina (Katia)
Room: Krieger 300
Status: Open
Seats Available: 12/20
PosTag(s): n/a
AS.110.412 (88)
Honors Algebra II
Nakade, Apurva
Spring 2025
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.
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Honors Algebra II AS.110.412 (88)
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: Nakade, Apurva
Room:
Status: Approval Required
Seats Available: 49/50
PosTag(s): n/a
AS.110.413 (01)
Introduction to Topology
TTh 10:30AM - 11:45AM, Th 4:30PM - 5:20PM
Staff
Hodson 315
Spring 2025
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.
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Introduction to Topology AS.110.413 (01)
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.
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.
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Introduction To Topology AS.110.413 (88)
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: 49/50
PosTag(s): n/a
AS.110.416 (01)
Honors Analysis II
MW 1:30PM - 2:45PM, F 1:30PM - 2:20PM
Sogge, Christopher Donald
Gilman 75
Spring 2025
Lebesgue integration and differentiation. Elementary Hilbert and Banach space theory. Baire category theorem. Continuation of AS.110.415, introduction to real analysis.
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Honors Analysis II AS.110.416 (01)
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: Gilman 75
Status: Open
Seats Available: 3/12
PosTag(s): n/a
AS.110.417 (01)
Partial Differential Equations
TTh 3:00PM - 4:15PM
Lu, Fei
Croft Hall G02
Spring 2025
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.
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Partial Differential Equations AS.110.417 (01)
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: Lu, Fei
Room: Croft Hall G02
Status: Waitlist Only
Seats Available: 0/12
PosTag(s): n/a
AS.110.433 (01)
Introduction to Harmonic Analysis and Its Applications
MW 1:30PM - 2:20PM
Wang, Xiong
Spring 2025
The course is an introduction to methods in harmonic analysis, in particular Fourier series, Fourier integrals, and wavelets. These methods will be introduced rigorously, together with their motivations and applications to the analysis of basic partial differential equations and integral kernels, signal processing, inverse problems, and statistical/machine learning.
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Introduction to Harmonic Analysis and Its Applications AS.110.433 (01)
The course is an introduction to methods in harmonic analysis, in particular Fourier series, Fourier integrals, and wavelets. These methods will be introduced rigorously, together with their motivations and applications to the analysis of basic partial differential equations and integral kernels, signal processing, inverse problems, and statistical/machine learning.
Days/Times: MW 1:30PM - 2:20PM
Instructor: Wang, Xiong
Room:
Status: Open
Seats Available: 6/10
PosTag(s): n/a
AS.110.441 (01)
Calculus on Manifolds
TTh 3:00PM - 4:15PM
Marshall-Stevens, Kobe
Krieger 205
Spring 2025
This course provides the tools for classical three-dimensional physics and mechanics. This course extends these techniques to the general locally Euclidean spaces (manifolds) needed for an understanding of such things as Maxwell's equations or optimization in higher dimensional contexts, eg. in economics. The course will cover the theory of differential forms and integration. Specific topics include Maxwell's equations in terms of 4D Lorentz geometry, vector (in particular, tangent) bundles, an introduction to de Rham theory, and Sard's theorem on the density of regular values of smooth functions. The course is intended to be useful to mathematics students interested in analysis, differential geometry, and topology, as well as to students in physics and economics.
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Calculus on Manifolds AS.110.441 (01)
This course provides the tools for classical three-dimensional physics and mechanics. This course extends these techniques to the general locally Euclidean spaces (manifolds) needed for an understanding of such things as Maxwell's equations or optimization in higher dimensional contexts, eg. in economics. The course will cover the theory of differential forms and integration. Specific topics include Maxwell's equations in terms of 4D Lorentz geometry, vector (in particular, tangent) bundles, an introduction to de Rham theory, and Sard's theorem on the density of regular values of smooth functions. The course is intended to be useful to mathematics students interested in analysis, differential geometry, and topology, as well as to students in physics and economics.
Days/Times: TTh 3:00PM - 4:15PM
Instructor: Marshall-Stevens, Kobe
Room: Krieger 205
Status: Open
Seats Available: 7/20
PosTag(s): n/a
AS.110.445 (01)
Mathematical and Computational Foundations of Data Science
MW 4:30PM - 5:45PM
Maggioni, Mauro
Bloomberg 168
Spring 2025
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).
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Mathematical and Computational Foundations of Data Science AS.110.445 (01)
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).