# Math (MATH-UA)

**MATH-UA 9**

**Algebra, Trigonometry, and Functions**

**(4 Credits)**

*Typically offered*Fall, Spring, and Summer termsServes as preparation for students who do not otherwise place into Discrete
Mathematics (MATH-UA 120), Calculus I (MATH-UA 121), Mathematics for
Economics I (MATH-UA 131; formerly MATH-UA 211), Linear Algebra (MATH-UA
140), Honors Linear Algebra (MATH-UA 148; an A- in MATH-UA 9 is required to
enter MATH-UA 148), and some courses in other departments (such as
chemistry and economics). Intermediate algebra and trigonometry; algebraic,
exponential, logarithmic, and trigonometric functions and their graphs.
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**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 120**

**Discrete Mathematics**

**(4 Credits)**

*Typically offered*Fall, Spring, and Summer termsA first course in discrete mathematics. Sets, algorithms, and induction. Combinatorics. Graphs and trees. Combinatorial circuits. Logic and Boolean algebra.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 121**

**Calculus I**

**(4 Credits)**

*Typically offered*Fall, Spring, and Summer termsAny one of the following: a score of 670 or higher on the mathematics
portion of the SAT, a score of 650 or higher on the SAT Subject Test in
Mathematics 1, a score of 650 or higher on the SAT Subject Test in
Mathematics 2, an ACT mathematics score of 30 or higher, a score of 3 or
higher on the AP Calculus AB exam, an AB subscore of 3 or higher on the AP
Calculus BC exam, a score of 3 or higher on the AP Calculus BC exam, a
grade of C or higher in Algebra and Calculus (MATH-UA 9), or a passing
score on a departmental placement exam.
Derivatives, antiderivatives, and integrals of functions of one variable. Applications include graphing,
maximizing, and minimizing functions. Definite integrals and the fundamental theorem of calculus. Areas and volumes.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 122**

**Calculus II**

**(4 Credits)**

*Typically offered*Fall, Spring, and Summer termsTechniques of integration. Further applications. Plane analytic geometry. Polar coordinates and parametric equations. Infinite series, including power series.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 123**

**Calculus III**

**(4 Credits)**

*Typically offered*Fall, Spring, and Summer termsPrerequisite: MATH-UA.0122 with a grade of C or better, departmental placement exam, or permission of the department. Functions of several variables. Vectors in the plane and space. Partial derivatives with applications. Double and triple integrals. Spherical and cylindrical coordinates. Surface and line integrals. Divergence, gradient, and curl. Theorem of Gauss and Stokes.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 129**

**Honors Calculus III**

**(4 Credits)**

The scope of this honors class will include the usual MATH-UA 123 syllabus; however this class will move faster, covering additional topics and going deeper. Functions of several variables. Vectors in the plane and space. Partial derivatives with applications, especially Lagrange multipliers. Double and triple integrals. Spherical and cylindrical coordinates. Surface and line integrals. Divergence, gradient, and curl. Theorem of Gauss and Stokes.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 131**

**Mathematics for Economics I**

**(4 Credits)**

*Typically offered*Fall, Spring, and Summer termsFormerly numbered MATH-UA 211; the content has not changed. Will only count toward the major in mathematics for: economics majors with a double or joint major in math.
Elements of calculus and linear algebra are important to the study of
economics. This class is designed to provide the appropriate tools for
study in the policy concentration. Examples and motivation are drawn from
important topics in economics. Topics covered include derivatives of
functions of one and several variables; interpretations of the derivatives;
convexity; constrained and unconstrained optimization.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 132**

**Mathematics for Economics II**

**(4 Credits)**

*Typically offered*Fall and SpringFormerly numbered MATH-UA 212; the content has not changed. Not open to students who already have credit for Calculus (from an NYU or transfer course, or from AP or another accepted exam), unless they have declared or will declare a major in economics. A continuation of Mathematics for Economics I. Matrix algebra; eigenvalues; Ordinary differential equations and stability analysis, multivariable integration and (possibly) dynamic optimization.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 133**

**Mathematics for Economics III**

**(4 Credits)**

*Typically offered*Fall and SpringFormerly numbered MATH-UA 213; the content has not changed.
Further topics in vector calculus. Vector spaces, matrix analysis. Linear and nonlinear programming with applications to game theory. This course will provide economics students who have taken MATH-UA 131 Mathematics for Economics I (formerly MATH-UA 211) and MATH-UA 132 Mathematics for Economics II (formerly MATH-UA 212) with the tools to take higher-level mathematics courses.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 140**

**Linear Algebra**

**(4 Credits)**

*Typically offered*Fall, Spring, and Summer termsSystems of linear equations. Gaussian elimination, matrices, determinants, and Cramer?s rule. Vectors, vector spaces, basis and dimension, linear transformations. Eigenvalues, eigenvectors, quadratic forms.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 144**

**Introduction to Computer Simulation**

**(4 Credits)**

*Typically offered*SpringPrerequisite: A grade of C or higher in Calculus I (MATH-UA 121) or Math for Economics II (MATH-UA 212) (for economics majors), and General Physics (PHYS-UA 11).
Simulations of such phenomena as orbits (Kepler problem and N-body problem), epidemic and endemic disease (including evolution in response to the selective pressure of malaria), musical stringed instruments (piano, guitar, and violin), and traffic flow in a city (with lights, breakdowns, and gridlock). Simulations are based on mathematical models, numerical methods, and Matlab programming techniques taught in class. Emphasizes use of animation (and sound where appropriate) to present the results of simulations.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 148**

**Honors Linear Algebra**

**(4 Credits)**

This honors section of Linear Algebra is a proof-based course intended for
well-prepared students who have already developed some mathematical
maturity and ease with abstraction. Its scope will include the usual Linear
Algebra (MATH-UA 140) syllabus; however this class will be faster, more
abstract and proof-based, covering additional topics.
Topics covered are: Vector spaces, linear dependence, basis and dimension,
matrices, determinants, solving linear equations, linear transformations,
eigenvalues and eigenvectors, diagonalization, inner products, applications.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 228**

**Fundamental Dynamics of Earth's Atmosphere and Climate**

**(4 Credits)**

*Typically offered*SpringAn introduction to the dynamical processes that drive the circulation of the atmosphere and ocean, and their interaction. This is the core of climate science. Lectures will be guided by consideration of observations and experiments, but the goal is to develop an understanding of the unifying principles of planetary fluid dynamics. Topics include the global energy balance, convection and radiation (the greenhouse effect), effects of planetary rotation (the Coriolis force), structure of the atmospheric circulation (the Hadley cell and wind patterns), structure of the oceanic circulation (wind-driven currents and the thermohaline circulation), climate and climate variability (including El Nino and anthropogenic warming).

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 230**

**Introduction to Fluid Dynamics**

**(4 Credits)**

*Typically offered*SpringPrerequisite: A grade of C or higher in Calculus III (MATH-UA 123) or Math for Economics III (MATH-UA 213) (for economics majors). Recommended: Mathematical Physics (PHYS-UA 106).
Fluid dynamics is the branch of physics that can describe the flow of blood in the human body, the flight of an insect, or the motions of weather systems. Key concepts include: the formalism of continuum mechanics; the conservation of mass, energy, and momentum in a fluid; the Euler and Navier-Stokes equations; and viscosity and vorticity. These concepts are applied to such classic problems in fluid dynamics as potential flow around a cylinder, the propagation of sound and gravity waves, and the onset of instability in shear flow.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 233**

**Theory of Probability**

**(4 Credits)**

*Typically offered*Fall, Spring, and Summer termsIntroduction to the mathematical techniques of random phenomena occurring in the natural, physical, and social sciences. Axioms of mathematical probability, combinatorial analysis, binomial distribution, Poisson and normal approximation, random variables and probability distributions, generating functions, Markov chains, applications.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 234**

**Mathematical Statistics**

**(4 Credits)**

*Typically offered*SpringPrerequisite: a grade of C or better in Theory of Probability (MATH-UA 233) or equivalent. Not open to students who have taken Probability and Statistics (MATH-UA 235).
Introduction to the mathematical foundations and techniques of modern statistical analysis used in the interpretation of data in quantitative sciences. Mathematical theory of sampling; normal populations and distributions; chi-square, t, and F distributions; hypothesis testing; estimation; confidence intervals; sequential analysis; correlation, regression, and analysis of variance. Applications to the sciences.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**Prerequisites:**(MATH-UA 233 with a Minimum Grade of C OR MATH-UA 238 with a Minimum Grade of C OR MATH-SHU 238 OR MA-UY 2233 OR (MA-UY 3012 and MA-UY 3022)) AND Restriction: Academic Program UY-Tandon Schl of Engineering.

**MATH-UA 235**

**Probability & Statistics**

**(4 Credits)**

*Typically offered*SpringPrerequisite: a grade of C or better in Calculus II (MATH-UA 122) or Math for Economics II (MATH-UA 212) (for economics majors) or equivalent. Not open to students who have taken Theory of Probability (MATH-UA 233) or Mathematical Statistics (MATH-UA 234).
Combination of MATH-UA 233 and 234 at a more elementary level to acquaint students with both probability and statistics in a single term. In probability: mathematical treatment of chance; combinatorics; binomial, Poisson, and Gaussian distributions; law of large numbers and the normal distribution; application to coin-tossing; radioactive decay. In statistics: sampling; normal and other useful distributions; testing of hypotheses; confidence intervals; correlation and regression; applications to scientific, industrial, and financial data.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 238**

**Honors Theory of Probability**

**(4 Credits)**

The aim of this class is to introduce students to probability theory, with a greater
emphasis on rigor, more material, and a faster pace than the Theory of Probability class. The material will include discrete and continuous probability, and the most fundamental limit theorems (law of large numbers and Central Limit Theorem).

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 240**

**Combinatorics**

**(4 Credits)**

*Typically offered*SpringTechniques for counting and enumeration, including generating functions, the principle of inclusion and exclusion, and Polya counting. Graph theory. Modern algorithms and data structures for graph theoretic problems.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 248**

**Theory of Numbers**

**(4 Credits)**

*Typically offered*FallDivisibility and prime numbers. Linear and quadratic congruences. The classical number-theoretic functions. Continued fractions. Diophantine equations.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 250**

**Mathematics of Finance**

**(4 Credits)**

*Typically offered*FallIntroduction to the mathematics of finance. Topics: linear programming with application to pricing. Interest rates and present value. Basic probability, random walks, central limit theorem, Brownian motion, log-normal model of stock prices. Black-Scholes theory of options. Dynamic programming with application to portfolio optimization.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 251**

**Intro to Math Modeling**

**(4 Credits)**

*Typically offered*SpringFormulation and analysis of mathematical models. Mathematical tools include dimensional analysis, optimization, simulation, probability, and elementary differential equations. Applications to biology, economics, other areas of science. The necessary mathematical and scientific background is developed as needed. Students participate in formulating models as well as in analyzing them.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 252**

**Numerical Analysis**

**(4 Credits)**

*Typically offered*SpringIn numerical analysis one explores how mathematical problems can be analyzed and solved with a computer. As such, numerical analysis has very broad applications in mathematics, physics, engineering, finance, and the life sciences. This course introduces the subject for mathematics majors. Theory and practical examples using Matlab are combined in the studying of topics ranging from simple root-finding procedures to differential equations and the finite element method.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 253**

**Linear and Nonlinear Optimization**

**(4 Credits)**

Optimization is a major part of the toolbox of the applied mathematician,
and more broadly of researchers in quantitative sciences including
economics, data science, machine learning, and quantitative social
sciences. This course provides an application-oriented introduction to
linear programming and convex optimization, with a balanced combination of
theory, algorithms, and numerical implementation. While no prior experience
in programming is expected, the required coursework will include numerical
implementations, including some programming; students will be introduced to
appropriate computational tools, with which they will gain experience as
they do the numerical assignments. Theoretical topics will include linear
programming, convexity, duality, minimax theorems, and dynamic
programming. Algorithmic topics will include the simplex method for linear
programming, selected techniques for smooth multidimensional optimization
(eg Newton's method and the conjugate gradient method), techniques for
solving for L1-type optimizations, and stochastic gradient descent.
Applications will be drawn from many areas, but will emphasize economics
(eg two-person zero-sum games, matching and assignment problems, optimal
resource allocation), data science (eg regression, convex-relaxation-based
approaches to sparse inverse problems, tuning of neural networks,
prediction with expert advice) and operations research (eg shortest paths
in networks and optimization of network flows).

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 255**

**Mathematics and Biology**

**(4 Credits)**

*Typically offered*FallIntended primarily for premedical students with interest and ability in mathematics. Topics of medical importance using mathematics as a tool, including control of the heart, optimal principles in the lung, cell membranes, electrophysiology, countercurrent exchange in the kidney, acid-base balance, muscle, cardiac catheterization, and computer diagnosis. Material from the physical sciences is introduced as needed and developed within the course.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 256**

**Computers in Medicine & Biology**

**(4 Credits)**

*Typically offered*SpringIntroduces the student of biology or mathematics to the use of computers as tools for modeling physiological phenomena. The student constructs two computer models selected from the following list: circulation, gas exchange in the lung, control of cell volume, and the renal countercurrent mechanism. The student then uses the model to conduct simulated physiological experiments.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**Prerequisites:**MATH-UA 255 with a Minimum Grade of C AND Restriction: Academic Program UY-Tandon Schl of Engineering.

**MATH-UA 258**

**Honors Numerical Analysis**

**(4 Credits)**

Covers the analysis of numerical algorithms which are ubiquitously used to solve problems throughout mathematics, physics, engineering, finance, and the life sciences. Topics include: algorithms for solving nonlinear equations; optimization; finding eigenvalues/eigenvectors of matrices; computing matrix factorizations and performing linear regressions; function interpolation, approximation, and integration; basic signal processing using the Fast Fourier Transform; Monte Carlo simulation. An introduction to programming will be provided as it is an integral part of numerical analysis, but students should feel quite comfortable programming on
their own (or be exceptionally willing to learn along the way).

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 262**

**Ordinary Diff Equations**

**(4 Credits)**

*Typically offered*Fall and SpringFirst- and second-order equations. Series solutions. Laplace transforms. Introduction to partial differential equations and Fourier series.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 263**

**Partial Diff Equations**

**(4 Credits)**

*Typically offered*SpringMany laws of physics are formulated as partial differential equations. This course discusses the simplest examples of such laws as embodied in the wave equation, the diffusion equation, and Laplace?s equation. Nonlinear conservation laws and the theory of shock waves. Applications to physics, chemistry, biology, and population dynamics.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**Prerequisites:**(MATH-UA 262 with a Minimum Grade of C OR MATH-UA 268 with a Minimum Grade of C OR MATH-SHU 262 OR MATH-UH 2010 OR MATH-SHU 362 OR MA-UY 2034 OR (MA-UY 2132 and MA-UY 2012)) AND Restriction: Acad Prog UY-Tandon Schl of Engineering.

**MATH-UA 264**

**Chaos & Dynamical Systems**

**(4 Credits)**

*Typically offered*SpringTopics include fixed points of one-dimensional maps; linear operators and linear approximations; stability and bifurcation; logistic maps. Cantor set, fractal sets, symbolic dynamics, conjugacy of maps. Dynamics in two dimensions. Introduction for students with little preparation to the recent discovery that, in certain regimes, fully deterministic mechanics can produce chaotic behavior.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 268**

**Honors Ordinary Differential Equations**

**(4 Credits)**

This class will develop rigorously the basic theory of Ordinary Differential Equations (ODEs). Existence and uniqueness of solutions to ODEs are first investigated, for linear and nonlinear problems, set on the real line or the complex plane. More qualitative questions are then considered, about the behavior of the solutions, with possible prolongations to various topics in Dynamical Systems theory. Applications to Physics and Biology will appear naturally when discussing examples.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**Prerequisites:**(MATH-UA 328 with a Minimum Grade of B+ OR MATH-UA 325 with a Minimum Grade of A-).

**MATH-UA 282**

**Functions of a Complex Variable**

**(4 Credits)**

*Typically offered*SpringComplex numbers and complex functions. Differentiation and the Cauchy-Riemann equations. Cauchy?s theorem and the Cauchy integral formula. Singularities, residues, Taylor and Laurent series. Fractional linear transformations and conformal mapping. Analytic continuation.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 325**

**Analysis**

**(4 Credits)**

*Typically offered*Fall and SpringThis course is an introduction to rigorous analysis on the real line. Topics include: the real number system, sequences and series of numbers, functions of a real variable (continuity and differentiability), the Riemann integral, basic topological notions in a metric space, sequences and series of functions including Taylor and Fourier series.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 328**

**Honors Analysis I**

**(4 Credits)**

*Typically offered*occasionallyThis is an introduction to the rigorous treatment of the foundations of real analysis in one variable. It is based entirely on proofs. Students are expected to know what a mathematical proof is and are also expected to be able to read a proof before taking this class. Topics include: properties of the real number system, sequences, continuous functions, topology of the real line, compactness, derivatives, the Riemann integral, sequences of functions, uniform convergence, infinite series and Fourier series. Additional topics may include: Lebesgue measure and integral on the real line, metric spaces, and analysis on metric spaces.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 329**

**Honors Analysis II**

**(4 Credits)**

*Typically offered*SpringPrerequisites: a grade of C or better in Honors Analysis I (MATH-UA 328), or a grade of A in Analysis (MATH-UA 325) and permission of instructor.
Continuation of Honors Analysis I (MATH-UA 328). Topics include: metric spaces, differentiation of functions of several real variables, the implicit and inverse function theorems, Riemann integral on R^n, Lebesgue measure on R^n, the Lebesgue integral.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**Prerequisites:**(MATH-UA 328 OR MATH-SHU 328) AND Restriction: Academic Program UY-Tandon Schl of Engineering.

**MATH-UA 343**

**Algebra**

**(4 Credits)**

*Typically offered*Fall and SpringIntroduction to abstract algebraic structures, including groups, rings, and fields. Sets and relations. Congruences and unique factorization of integers. Groups, permutation groups, homomorphisms and quotient groups. Rings and quotient rings, Euclidean rings, polynomial rings. Fields, finite extensions.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 348**

**Honors Algebra I**

**(4 Credits)**

*Typically offered*occasionallyIntroduction to abstract algebraic structures, including groups, rings, and fields. Sets and relations. Congruences and unique factorization of integers. Groups, permutation groups, group actions, homomorphisms and quotient groups, direct products, classification of finitely generated abelian groups, Sylow theorems. Rings, ideals and quotient rings, Euclidean rings, polynomial rings, unique factorization.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 349**

**Honors Algebra II**

**(4 Credits)**

*Typically offered*SpringPrerequisites: a grade of C or better in Honors Algebra I (MATH-UA 348), or a grade of A in Algebra (MATH-UA 343) and permission of instructor.
Principal ideal domains, polynomial rings in several variables, unique factorization domains. Fields, finite extensions, constructions with ruler and compass, Galois theory, solvability by radicals.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**Prerequisites:**(MATH-UA 348 with a Minimum Grade of C OR MATH-SHU 348) AND Restriction: Academic Program UY-Tandon Schl of Engineering.

**MATH-UA 375**

**Topology**

**(4 Credits)**

*Typically offered*SpringMetric spaces, topological spaces, compactness, connectedness. Covering spaces and homotopy groups.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**Prerequisites:**(MATH-UA 325 with a Minimum Grade of C OR MATH-UA 328 OR MATH-SHU 201 OR MA-UY 4614) AND Restriction: Academic Program UY-Tandon Schl of Engineering.

**MATH-UA 377**

**Differential Geometry**

**(4 Credits)**

*Typically offered*SpringThe differential properties of curves and surfaces. Introduction to manifolds and Riemannian geometry.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 395**

**Special Topics**

**(4 Credits)**

*Typically offered*occasionallyLecture-seminar course on advanced topics selected by the instructor. Topics vary yearly. Detailed course descriptions are available during preregistration.Covers topics not offered regularly: experimental courses and courses offered on student demand.

**Grading:**CAS Graded

**Repeatable for additional credit:**Yes

**MATH-UA 897**

**Internship in Mathematics**

**(2-4 Credits)**

An internship in mathematics is an excellent complement to formal course work.
Practical training along with their classroom experience can help students to explore
different career options and gain hands-on experience. An internship is for majors only.

**Grading:**CAS Pass/Fail

**Repeatable for additional credit:**No

**MATH-UA 898**

**Internship in Mathematics**

**(2-4 Credits)**

Prerequisite: Restricted to declared math majors. Math major or Math joint major with Computer Science or Economics, a 3.0 Cumulative GPA and 3.5 Math Major GPA required. Students have to have completed 50% of their major. MATH-UA 897 is offered in the fall and summer session I terms. MATH-UA 898 is offered in the spring and summer session II terms. 2 or 4 points per term.
An internship in mathematics is an excellent complement to formal course
work. Practical training along with their classroom experience can help
students to explore different career options and gain hands-on experience.
An internship is for majors only. The internship will be pass/fail.

**Grading:**CAS Pass/Fail

**Repeatable for additional credit:**No

**MATH-UA 997**

**Independent Study**

**(2-4 Credits)**

*Typically offered*Fall and Summer termsPrerequisite: permission of the department. 2 or 4 points per term. To register for this course, a student must complete an application form for independent study and have it approved by a faculty sponsor and the director of undergraduate studies.

**Grading:**CAS Graded

**Repeatable for additional credit:**Yes

**MATH-UA 9009**

**Algebra, Trigonometry, and Functions**

**(4 Credits)**

Prerequisite: Three years of high school math or permission of the
department. An intensive course in intermediate algebra and trigonometry.
Topics include algebraic, exponential, logarithmic, and trigonometric
functions and their graphs.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 9121**

**Calculus I**

**(4 Credits)**

*Typically offered*Fall and SpringAny one of the following: a score of 670 or higher on the mathematics
portion of the SAT, a score of 650 or higher on the SAT Subject Test in
Mathematics 1, a score of 650 or higher on the SAT Subject Test in
Mathematics 2, an ACT mathematics score of 30 or higher, a score of 3 or
higher on the AP Calculus AB exam, an AB subscore of 3 or higher on the AP
Calculus BC exam, a score of 3 or higher on the AP Calculus BC exam, a
grade of C or higher in Algebra and Calculus (MATH-UA 9), or a passing
score on a departmental placement exam.
Derivatives, antiderivatives, and integrals of functions of one variable.
Applications include graphing,maximizing, and minimizing functions.
Definite integrals and the fundamental theorem of calculus. Areas and
volumes.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**Prerequisites:**MATH-UA 9).

**MATH-UA 9131**

**Mathematics for Economics I**

**(4 Credits)**

*Typically offered*FallThis course is only open to Economics Majors and prospective majors. If an
Economics Major decides to double or joint major in Math these courses will
replace Calculus I - III.
Elements of calculus and linear algebra are important to the study of
economics. This class is designed to provide the appropriate tools for
study in the policy concentration. Examples and motivation are drawn from
important topics in economics. Topics covered include derivatives of
functions of one and several variables; interpretations of the derivatives;
convexity; constrained and unconstrained optimization.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 9132**

**Mathematics for Economics II**

**(4 Credits)**

*Typically offered*SpringA continuation of Mathematics for Economics I. Matrix algebra; eigenvalues;
Ordinary differential equations and stability analysis, multivariable
integration and (possibly) dynamic optimization.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 9140**

**Linear Algebra**

**(4 Credits)**

This is an introductory course on linear algebra, one of the most important and basic areas of mathematics, with many real-life applications. The course introduces students to both the theory of vector spaces and linear transformations and the techniques such as row-reduction of matrices and diagonalisation, which can be applied to problems in areas such as engineering, economics, and mathematical biology.
As well as mastering techniques, it is important that the students get to grips with the more abstract ideas of linear algebra, and learn to understand and write correct mathematical arguments. Taking an active approach to problem-solving is also important.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**Prerequisites:**MATH-UA 121 with a Minimum Grade of C.

**MATH-UA 9233**

**Theory of Probability**

**(4 Credits)**

An introduction to the mathematical treatment of random phenomena occurring in the natural, physical, and social sciences. Axioms of mathematical probability, combinatorial analysis, binomial distribution, Poisson and normal approximation, random variables and probability distributions, generating functions, Markov chains applications.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 9235**

**Probability & Statistics**

**(4 Credits)**

*Typically offered*FallCombination of MATH-UA 233 and 234 at a more elementary level
to acquaint students with both probability and statistics in a single term.
In probability: mathematical treatment of chance; combinatorics; binomial,
Poisson, and Gaussian distributions; law of large numbers and the normal
distribution; application to coin-tossing; radioactive decay. In
statistics: sampling; normal and other useful distributions; testing of
hypotheses; confidence intervals; correlation and regression; applications
to scientific, industrial, and financial data.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 9253**

**Linear and Nonlinear Optimization**

**(4 Credits)**

Optimization is a major part of the toolbox of the applied mathematician,
and more broadly of researchers in quantitative sciences including
economics, data science, machine learning, and quantitative social
sciences. This course provides an application-oriented introduction to
linear programming and convex optimization, with a balanced combination of
theory, algorithms, and numerical implementation. While no prior experience
in programming is expected, the required coursework will include numerical
implementations, including some programming; students will be introduced to
appropriate computational tools, with which they will gain experience as
they do the numerical assignments. Theoretical topics will include linear
programming, convexity, duality, minimax theorems, and dynamic
programming. Algorithmic topics will include the simplex method for linear
programming, selected techniques for smooth multidimensional optimization
(eg Newton's method and the conjugate gradient method), techniques for
solving for L1-type optimizations, and stochastic gradient descent.
Applications will be drawn from many areas, but will emphasize economics
(eg two-person zero-sum games, matching and assignment problems, optimal
resource allocation), data science (eg regression, convex-relaxation-based
approaches to sparse inverse problems, tuning of neural networks,
prediction with expert advice) and operations research (eg shortest paths
in networks and optimization of network flows).

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 9262**

**Ordinary Differential Equations**

**(4 Credits)**

This course is a first course in ordinary differential equations, including analytical solution methods, elementary numerical methods and modeling. Topics to be covered include first-order equations including integrating factors, second-order equations including variation of parameters, series solutions, elementary numerical methods including Euler's methods, Laplace transforms, systems of linear equations and boundary-value problems.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**MATH-UA 9263**

**Partial Differential Equations**

**(4 Credits)**

Many laws of physics are formulated as partial differential equations. This course discusses the simplest examples of such laws as embodied in the wave equation, the diffusion equation, and Laplace?s equation. Nonlinear conservation laws and the theory of shock waves. Applications to physics, chemistry, biology, and population dynamics. Prerequisite: prerequisite for MATH-UA 263

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**Prerequisites:**(MATH-UA 262 OR MATH-SHU 262 OR MATH-UH 2010 OR MATH-SHU 362 OR MA-UY 2034 OR (MA-UY 2132 and MA-UY 2012)).

**MATH-UA 9282**

**Functions of a Complex Variable**

**(4 Credits)**

Complex numbers and complex functions. Differentiation and the
Cauchy-Riemann equations. Cauchy?s theorem and the Cauchy integral formula. Singularities, residues, Taylor and Laurent series. Fractional linear
transformations and conformal mapping. Analytic continuation.

**Grading:**CAS Graded

**Repeatable for additional credit:**No

**Prerequisites:**MATH-UA 282.

**MATH-UA 9325**

**Analysis**

**(4 Credits)**

*Typically offered*SpringThis course is an introduction to rigorous analysis on the
real line. Topics include: the real number system, sequences and series of
numbers, functions of a real variable (continuity and differentiability),
the Riemann integral, basic topological notions in a metric space,
sequences and series of functions including Taylor and Fourier series.

**Grading:**CAS Graded

**Repeatable for additional credit:**No