This page displays the schedule of Bryn Mawr courses in this department for this academic year. It also displays descriptions of courses offered by the department during the last four academic years.

For information about courses offered by other Bryn Mawr departments and programs or about courses offered by Haverford and Swarthmore Colleges, please consult the Course Guides page.

For information about the Academic Calendar, including the dates of first and second quarter courses, please visit the College's calendars page.

Fall 2021

COURSE TITLE SCHEDULE/
UNITS
MEETING TYPE TIMES/DAYS LOCATION / INSTRUCTION MODE INSTR(S)
MATH B101-001Calculus ISemester / 1Lecture: 10:10 AM-11:00 AM MWFPark 338
In Person
Sudparid,D.
MATH B101-002Calculus ISemester / 1Lecture: 12:10 PM- 1:00 PM MWFPark 338
In Person
Sudparid,D.
MATH B101L-099Calculus I labSemester / 0.5LEC: 2:40 PM- 4:00 PM FPark 338
In Person
Sudparid,D.
MATH B102-001Calculus IISemester / 1Lecture: 10:10 AM-11:00 AM MWFPark 200
In Person
Kasius,P.
MATH B102-002Calculus IISemester / 1Lecture: 11:10 AM-12:00 PM MWFPark 200
In Person
Kasius,P.
MATH B104-001Basic Probability and StatisticsSemester / 1Lecture: 1:10 PM- 2:30 PM MWPark 338
In Person
Kasius,P.
MATH B195-001Select Topics in Mathematics: Statistics for Data ScienceSemester / 1LEC: 2:40 PM- 4:00 PM MWPark 336
In Person
Myers,A.
MATH B201-001Multivariable CalculusSemester / 1Lecture: 11:10 AM-12:00 PM MWFPark 338
In Person
Traynor,L.
MATH B201-002Multivariable CalculusSemester / 1Lecture: 2:25 PM- 3:45 PM TTHPark 338
In Person
Donnay,V.
MATH B295-001Select Topics in Mathematics: Graph TheorySemester / 1LEC: 10:10 AM-11:30 AM MWPark 336
In Person
Myers,A.
MATH B295-002Select Topics in Mathematics: Actuarial MathematicsSemester / 1LEC: 8:25 AM- 9:45 AM TTHPark 245
In Person
Cheng,L.
MATH B301-001Real Analysis ISemester / 1Lecture: 9:55 AM-11:15 AM TTHPark 278
In Person
Milicevic,D.
MATH B301-002Real Analysis ISemester / 1Lecture: 12:55 PM- 2:15 PM TTHPark 264
In Person
Milicevic,D.
MATH B303-001Abstract Algebra ISemester / 1Lecture: 8:40 AM-10:00 AM MWPark 336
In Person
Myer,Z.
MATH B303-002Abstract Algebra ISemester / 1Lecture: 11:40 AM- 1:00 PM MWPark 336
In Person
Myer,Z.
MATH B322-001Functions of Complex VariablesSemester / 1Lecture: 2:25 PM- 3:45 PM TTHPark 336
In Person
Melvin,P.
MATH B398-001Senior ConferenceSemester / 1Lecture: 11:40 AM- 1:00 PM MWPark 159
In Person
Dept. staff, TBA
MATH B398-002Senior ConferenceSemester / 1Lecture: 11:25 AM-12:45 PM TTHPark 264
In Person
Dept. staff, TBA
MATH B400-001Senior ThesisSemester / 1In Person
MATH B400-002Senior ThesisSemester / 1In Person
MATH B403-001Supervised WorkSemester / 1Dept. staff, TBA
MATH B403-001Supervised WorkSemester / 1Dept. staff, TBA
MATH B522-001Complex AnalysisSemester / 1Lecture: 2:25 PM- 3:45 PM TTHPark 336
In Person
Melvin,P.
MATH B530-001Differential TopologySemester / 1Lecture: 1:10 PM- 2:30 PM MWPark 337
In Person
Traynor,L.
MATH B701-001Supervised WorkSemester / 1In Person
MATH B701-002Supervised WorkSemester / 1In Person
MATH B701-002Supervised WorkSemester / 1In Person
MATH B701-003Supervised WorkSemester / 1In Person
MATH B701-003Supervised WorkSemester / 1In Person
MATH B701-004Supervised WorkSemester / 1In Person
MATH B701-004Supervised WorkSemester / 1In Person
MATH B701-005Supervised WorkSemester / 1In Person
MATH B701-006Supervised WorkSemester / 1In Person
MATH B702-001Research SeminarSemester / 1In Person
CHEM B221-001Physical Chemistry ISemester / 1Lecture: 1:10 PM- 2:30 PM MWPark 159
In Person
Francl,M.
CMSC B231-001Discrete MathematicsSemester / 1Lecture: 9:55 AM-11:15 AM TTHPark 338
In Person
Normoyle,A.
CMSC B340-001Analysis of AlgorithmsSemester / 1Lecture: 9:55 AM-11:15 AM TTHPark 336
In Person
Xu,D., Xu,D.
Laboratory: 11:40 AM- 1:00 PM WPark 230
In Person
PHYS B306-001Mathematical Methods in the Physical SciencesSemester / 1Lecture: 12:10 PM- 1:00 PM MWFPark 337
In Person
Matlin,M.

Spring 2022

COURSE TITLE SCHEDULE/
UNITS
MEETING TYPE TIMES/DAYS LOCATION / INSTRUCTION MODE INSTR(S)
MATH B101-001Calculus ISemester / 1Lecture: 1:10 PM- 2:00 PM MWFPark 338
In Person
Department staff,T., Sudparid,D.
Laboratory: 2:40 PM- 4:00 PM FPark 246
In Person
MATH B102-001Calculus IISemester / 1Lecture: 10:10 AM-11:00 AM MWFPark 338
In Person
Sudparid,D.
MATH B102-002Calculus IISemester / 1Lecture: 12:10 PM- 1:00 PM MWFPark 338
In Person
Sudparid,D.
MATH B104-001Basic Probability and StatisticsSemester / 1Lecture: 9:10 AM-10:00 AM MWFPark 338
In Person
Kasius,P.
MATH B104-002Basic Probability and StatisticsSemester / 1Lecture: 2:40 PM- 4:00 PM MWPark 338
In Person
Kasius,P.
MATH B203-001Linear AlgebraSemester / 1Lecture: 10:10 AM-11:00 AM MWFPark 245
In Person
Myers,A.
MATH B203-002Linear AlgebraSemester / 1Lecture: 12:10 PM- 1:00 PM MWFPark 245
In Person
Kasius,P.
MATH B205-001Theory of Probability with ApplicationsSemester / 1Lecture: 1:10 PM- 2:30 PM MWPark 336
In Person
Myers,A.
MATH B206-001Transition to Higher MathematicsSemester / 1Lecture: 12:55 PM- 2:15 PM TTHPark 245
In Person
Traynor,L.
MATH B210-001Differential Equations with ApplicationsSemester / 1Lecture: 2:40 PM- 4:00 PM MWPark 336
In Person
Donnay,V.
MATH B221-001Introduction to Topology and GeometrySemester / 1Lecture: 11:40 AM- 1:00 PM MWPark 336
In Person
Dept. staff, TBA
MATH B295-001Select Topics in MathematicsSemester / 1Lecture: 10:10 AM-11:30 AM MWPark 336
In Person
Cheng,L.
MATH B302-001Real Analysis IISemester / 1Lecture: 9:55 AM-11:15 AM TTHPark 336
In Person
Milicevic,D.
MATH B304-001Abstract Algebra IISemester / 1Lecture: 8:40 AM-10:00 AM MWPark 336
In Person
Dept. staff, TBA
MATH B390-001Number TheorySemester / 1Lecture: 12:55 PM- 2:15 PM TTHPark 336
In Person
Milicevic,D.
MATH B399-001Senior ConferenceSemester / 1Lecture: 8:25 AM- 9:45 AM TTHPark 328
In Person
Dept. staff, TBA
MATH B399-002Senior ConferenceSemester / 1Lecture: 11:25 AM-12:45 PM TTHPark 328
In Person
Dept. staff, TBA
MATH B400-001Senior ThesisSemester / 1In Person
MATH B403-001Supervised WorkSemester / 1Dept. staff, TBA
MATH B403-001Supervised WorkSemester / 1Dept. staff, TBA
MATH B503-001Graduate Algebra ISemester / 1Lecture: 2:25 PM- 3:45 PM TTHPark 328
In Person
Melvin,P.
MATH B701-001Supervised WorkSemester / 1In Person
MATH B701-002Supervised WorkSemester / 1In Person
MATH B701-003Supervised WorkSemester / 1In Person
MATH B701-004Supervised WorkSemester / 1In Person
MATH B701-005Supervised WorkSemester / 1In Person
MATH B701-006Supervised WorkSemester / 1In Person
MATH B702-001Research SeminarSemester / 1In Person
CMSC B231-001Discrete MathematicsSemester / 1Lecture: 11:25 AM-12:45 PM TTHIn PersonInterim,R.
ECON B304-001EconometricsSemester / 1Lecture: 10:10 AM-11:30 AM MWIn PersonLambie-Hanson,T.
PHYS B328-001Galactic Dynamics & Advanced Classical MechanicsSemester / 1Lecture: 9:55 AM-11:15 AM TTHPark 337
In Person
Daniel,K.

Fall 2022

(Class schedules for this semester will be posted at a later date.)

2021-22 Catalog Data

MATH B100 Introduction to Calculus
Not offered 2021-22
This course introduces the concepts and skills that provide a foundation for calculus, the study of how things change. Functions that provide useful models for studying the change of a wide variety of phenomena will be introduced and analyzed through the concepts of limits and derivatives.
Quantitative Methods (QM)

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MATH B101 Calculus I
Fall 2021, Spring 2022
This is the first in a sequence of two courses that covers single-variable calculus. Topics include functions, limits, continuity, derivatives, differentiation formulas, applications of derivatives, integrals, and the fundamental theorem of calculus. Prerequisite: proficiency in high-school mathematics (including algebra, geometry, and trigonometry).
Quantitative Methods (QM)
Quantitative Readiness Required (QR)

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MATH B101L Calculus I lab
Fall 2021
This lab course will reinforce the concepts and skills that are needed to be successful in Calculus 1. Students must be enrolled in MATH B101 Calculus I to enroll in this course.

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MATH B102 Calculus II
Fall 2021, Spring 2022
This is the second in a sequence of two courses that covers single-variable calculus. Topics include techniques of integration, applications of integration, infinite sequences and series, tests of convergence for series, and power series. Prerequisite: a merit grade in Math 101 (or an equivalent experience).
Quantitative Methods (QM)

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MATH B104 Basic Probability and Statistics
Fall 2021, Spring 2022
This course introduces key concepts in descriptive and inferential statistics. Topics include summary statistics, graphical displays, correlation, regression, probability, the Law of Large Numbers, expected value, standard error, the Central Limit Theorem, hypothesis testing, sampling procedures, bias, and the use of statistical software.
Quantitative Methods (QM)
Quantitative Readiness Required (QR)

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MATH B151 Introduction to Math and Sustainability
Not offered 2021-22
The world faces many sustainability challenges: climate change, energy, over-population, natural resource depletion. Using techniques of mathematical modeling including dynamical systems and bifurcation theory (tipping points), we will study quantitative aspects of these problems. No advanced mathematics beyond high school mathematics (pre-calculus) is required.
Quantitative Methods (QM)
Counts toward Environmental Studies

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MATH B195 Select Topics in Mathematics
Section 001 (Fall 2021): Statistics for Data Science
Fall 2021
This is a topics course. Course content varies. For Fall 2021 the course introduces basic descriptive and inferential statistics through work with real data and programming in R (statistical computing and graphics software). This course is open to students of all majors. Although it does not count towards the math major, math majors may choose to take it as a College elective. Satisfies the Data Analytics Foundational requirement for the Data Science minor.
Course does not meet an Approach
Counts toward Introduction to Data Science

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MATH B201 Multivariable Calculus
Fall 2021
This course extends calculus to functions of multiple variables. Topics include functions, limits, continuity, vectors, directional derivatives, optimization problems, multiple integrals, parametric curves, vector fields, line integrals, surface integrals, and the theorems of Gauss, Green and Stokes. Prerequisite: a merit grade in Math 102 (or an equivalent experience).
Quantitative Methods (QM)

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MATH B203 Linear Algebra
Spring 2022
This course considers systems of linear equations, matrix algebra, determinants, vector spaces, subspaces, linear independence, bases, dimension, linear transformations, eigenvalues, eigenvectors, orthogonality, and applications of linear algebra. Prerequisite (or corequisite): Math 102.
Quantitative Methods (QM)

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MATH B205 Theory of Probability with Applications
Spring 2022
The course analyzes repeatable experiments in which short-term outcomes are uncertain, but long-run behavior is predictable. Topics include: random variables, discrete distributions, continuous densities, conditional probability, expected value, variance, the Law of Large Numbers, and the Central Limit Theorem. Prerequisite: Math 201.
Quantitative Methods (QM)
Counts toward Introduction to Data Science

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MATH B206 Transition to Higher Mathematics
Spring 2022
This course focuses on mathematical writing and proof techniques. Topics include symbolic logic, set notation and quantifiers, proof by contradiction and induction, set notation and operations, relations and partitions, functions, and more. Prerequisite (or corequisite): Math 203.
Quantitative Methods (QM)

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MATH B208 Introduction to Modeling and Simulation
Not offered 2021-22
Mathematical models are constructed to describe the complex world within and around us. Computational methods are employed to visualize and solve these models. In this course, we focus on developing mathematical models to describe real-world phenomena, while using computer simulations to examine prescribed and/or random behavior of various systems. The course includes an introduction to programming (in R or Matlab/Octave), and mathematical topics may include discrete dynamical systems, model fitting using least squares, elementary stochastic processes, and linear models (regression, optimization, linear programming). Applications to economics, biology, chemistry, and physics will be explored. Prior programming experience not required.
Course does not meet an Approach
Quantitative Methods (QM)
Quantitative Readiness Required (QR)

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MATH B210 Differential Equations with Applications
Spring 2022
Ordinary differential equations, including general first-order equations, linear equations of higher order and systems of equations, via numerical, geometrical, and analytic methods. Applications to physics, biology, and economics. Co-requisite: MATH 201 or 203.
Quantitative Methods (QM)

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MATH B221 Introduction to Topology and Geometry
Spring 2022
An introduction to the ideas of topology and geometry through the study of knots and surfaces in three-dimensional space. The course content may vary from year to year, but will generally include some historical perspectives and some discussion of connections with the natural and life sciences. Co-requisite: MATH 201 or 203.
Quantitative Methods (QM)

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MATH B225 Introduction to Financial Mathematics
Not offered 2021-22
Topics to be covered include market conventions and instruments, Black-Scholes option-pricing model, and practical aspects of trading and hedging. All necessary definitions from probability theory (random variables, normal and lognormal distribution, etc.) will be explained. Prerequisite: MATH 102. ECON 105 is recommended.
Quantitative Methods (QM)

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MATH B290 Elementary Number Theory
Not offered 2021-22
Properties of the integers, divisibility, primality and factorization, congruences, Chinese remainder theorem, multiplicative functions, quadratic residues and quadratic reciprocity, continued fractions, and applications to computer science and cryptography. Prerequisite: MATH 102.
Quantitative Methods (QM)

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MATH B295 Select Topics in Mathematics
Section 001 (Fall 2020): Enumerative Combinatorics
Section 001 (Fall 2021): Graph Theory
Section 001 (Spring 2021): Math Modeling and Sustainability
Section 002 (Fall 2021): Actuarial Mathematics
Fall 2021, Spring 2022
This is a topics course. Course content varies. Not all topics are open to first year students.
Current topic description: A graph is a set of vertices (dots) connected by edges (line segments) that can be used to model a network of some kind. In this course we ask questions, look for patterns, make conjectures, and try to prove our observations about graphs. We explore pure mathematical terrain, and pause for a few practical applications along the way. Topics may include: subgraphs, isomorphic graphs, degrees of vertices, trees, vertex coloring, edge coloring, Hamilton cycles, Eulerian circuits, spanning trees, matchings, scheduling, and planar graphs.
Current topic description: This course will provide an introduction to some of the mathematical techniques used in actuarial work and will give an overview of some of the areas in which actuaries are currently involved. Some of the concepts that will be addressed include valuation of financial transactions, demography, life insurance, valuation of contingent payments, and premium calculation. Prerequisite: Math 102

Quantitative Methods (QM)
Counts toward Environmental Studies
Counts toward Praxis Program

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MATH B301 Real Analysis I
Fall 2021
A first course in real analysis, providing a rigorous development of single variable calculus, with a strong focus on proof writing. Topics covered: the real number system, elements of set theory and topology, limits, continuous functions, the intermediate and extreme value theorems, differentiable functions and the mean value theorem, uniform continuity, the Riemann integral, the fundamental theorem of calculus. Possible additional topics include analysis on metric spaces or dynamical systems. Prerequisite: MATH 201. Some students also find it helpful to have taken a transitional course such as MATH 206 before enrolling in this course.

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MATH B302 Real Analysis II
Spring 2022
A continuation of Real Analysis I: Infinite series, power series, sequences and series of functions, pointwise and uniform convergence, and additional topics selected from: Fourier series, calculus of variations, the Lebesgue integral, dynamical systems, and calculus in higher dimensions. Prerequisite: MATH 301.

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MATH B303 Abstract Algebra I
Fall 2021
A first course in abstract algebra, including an introduction to groups, rings and fields, and their homomorphisms. Topics covered: cyclic and dihedral groups, the symmetric and alternating groups, direct products and finitely generated abelian groups, cosets, Lagrange's Theorem, normal subgroups and quotient groups, isomorphism theorems, integral domains, polynomial rings, ideals, quotient rings, prime and maximal ideals. Possible additional topics include group actions and the Sylow Theorems, free abelian groups, free groups, PIDs and UFDs. Prerequisite: MATH 203. Some students also find it helpful to have taken a transitional course such as MATH 206 before enrolling in this course.

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MATH B304 Abstract Algebra II
Spring 2022
A continuation of Abstract Algebra I. Vector spaces and linear algebra, field extensions, algebraic and transcendental extensions, finite fields, fields of fractions, field automorphisms, the isomorphism extension theorem, splitting fields, separable and inseparable extensions, algebraic closures, and Galois theory. Also, if not covered in Abstract Algebra I: group actions and Sylow theorems, free abelian groups, free groups, PIDs and UFDs. Possible additional topic: finitely generated modules over a PID and canonical forms of matrices. Prerequisite: MATH 303.

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MATH B308 Applied Mathematics I
Not offered 2021-22
This course will provide a general introduction to methods and modeling in applied mathematics. A variety of mathematical tools will be used to develop and study a wide range of models, including deterministic, discrete, and stochastic methods. Additional emphasis will be placed on techniques for analyzing mathematical models, including phase plane methods, stability analysis, dimensional analysis, bifurcation theory, and computer simulations. Applications to biology, physics, chemistry, engineering, and the social sciences may be discussed. Prerequisite: Math 203 or equivalent, or permission from instructor

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MATH B312 Topology
Not offered 2021-22
General topology (topological spaces, continuity, compactness, connectedness, quotient spaces), the fundamental group and covering spaces, introduction to geometric topology (classification of surfaces, manifolds). Typically offered yearly in alternation with Haverford. Co-requisite: MATH 301, MATH 303, or permission of instructor.

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MATH B317 AdvTopics in Mathematics
Not offered 2021-22
This is an advanced topics course. Course content varies.
Quantitative Readiness Required (QR)

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MATH B322 Functions of Complex Variables
Fall 2021
Analytic functions, Cauchy's theorem, Laurent series, calculus of residues, conformal mappings, Moebius transformations. Prerequisite: MATH 301 or permission of instructor.

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MATH B325 Advanced Topics in Applied Mathematics
Not offered 2021-22
This topics course will focus on one advanced area in applied mathematics. Topics may include numerical linear algebra, applied partial differential equations, optimal control, parameter estimation and model fitting.
Quantitative Readiness Required (QR)

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MATH B390 Number Theory
Spring 2022
Study of integers with an emphasis on their multiplicative structure and topics related to analysis, and a first course in analytic number theory. Core topics: divisibility and primes, arithmetic functions, average and extremal orders, techniques of analytic number theory, Riemann zeta function, prime number theorem, Dirichlet characters, L-functions. Possible additional topics may include approximations by rational numbers, geometry of numbers, algebraic numbers and class numbers, sums of squares, and the idea of modular forms.Prerequisite: Math 201, and some familiarity with writing proofs (such as Math 206, Math 301/303 as a co-requisite, or permission of instructor)
Quantitative Methods (QM)

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MATH B395 Research Seminar
Not offered 2021-22
A research seminar for students involved in individual or small group research under the supervision of the instructor. With permission, the course may be repeated for credit. This is a topics course. Prerequisite: Permission of instructor.

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MATH B396 Research Seminar
Not offered 2021-22
A research seminar for students involved in individual or small group research under the supervision of the instructor. With permission, the course may be repeated for credit. Prerequisite: Permission of instructor.

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MATH B398 Senior Conference
A seminar for seniors majoring in mathematics. Topics vary from year to year.

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MATH B399 Senior Conference
A seminar for seniors majoring in mathematics. Topics vary from year to year.

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MATH B400 Senior Thesis
Independent research for senior thesis in Math

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MATH B403 Supervised Work

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MATH B403 Supervised Work

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MATH B425 Praxis III
Counts toward Praxis Program

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MATH B501 Graduate Real Analysis I
Not offered 2021-22
In this course we will study the theory of measure and integration. Topics will include Lebesgue measure, measurable functions, the Lebesgue integral, the Riemann-Stieltjes integral, complex measures, differentiation of measures, product measures, and Lp spaces.

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MATH B502 Graduate Real Analysis II
Not offered 2021-22
This course is a continuation of Math 501.

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MATH B503 Graduate Algebra I
Spring 2022
This is the first course in a two course sequence providing a standard introduction to algebra at the graduate level. Topics in the first semester will include categories, groups, rings, modules, and linear algebra.

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MATH B504 Graduate Algebra II
Not offered 2021-22
This course is a continuation of Math 503, the two courses providing a standard introduction to algebra at the graduate level. Topics in the second semester will include linear algebra, fields, Galois theory, and advanced group theory. Prerequisite: MATH B503.

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MATH B512 General Topology
Not offered 2021-22
This course covers the basic notions of point set topology, with an introduction to algebraic and geometric topology. Topics covered include topological spaces, continuity, compactness, connectedness, quotient spaces, the fundamental group and covering spaces, and the classification of surfaces.

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MATH B517 Adv Topics in Mathematics
Not offered 2021-22

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MATH B522 Complex Analysis
Fall 2021
This course covers the basic notions of complex analysis. Topics covered include analytic functions, Cauchy's theorem, the calculus of residues, conformal mappings, Riemann mapping theorem and Picard's little theorem.

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MATH B525 Algebraic Topology
Not offered 2021-22
This course covers the basic notions of algebraic topology. Topics covered include homology theory, cohomology theory, duality on manifolds, and an introduction to homotopy theory.

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MATH B530 Differential Topology
Fall 2021
This course covers the basic notions of differential topology. Topics covered include smooth manifolds, smooth maps, differential forms, and integration on manifolds.

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MATH B701 Supervised Work
Fall 2021, Spring 2022

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MATH B701 Supervised Work
Fall 2021

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MATH B702 Research Seminar
Fall 2021, Spring 2022

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MATH B702 Research Seminar
Not offered 2021-22

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CHEM B221 Physical Chemistry I
Fall 2021
Introduction to quantum theory and spectroscopy. Atomic and molecular structure; molecular modeling; rotational, vibrational, electronic and magnetic resonance spectroscopy. Lecture three hours. Prerequisites: CHEM B104 and MATH B201.
Quantitative Methods (QM)
Counts toward Counts toward Biochemistry and Molecular Biology

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CMSC B231 Discrete Mathematics
Fall 2021, Spring 2022
An introduction to discrete mathematics with strong applications to computer science. Topics include propositional logic, proof techniques, recursion, set theory, counting, probability theory and graph theory. Co-requisites: BIOL B115 or CMSC B110 or CMSC B113 or H105 or H107.
Quantitative Methods (QM)

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CMSC B310 Computational Geometry
Not offered 2021-22
A study of algorithms and mathematical theories that focus on solving geometric problems in computing, which arise naturally from a variety of disciplines such as Computer Graphics, Computer Aided Geometric Design, Computer Vision, Robotics and Visualization. The materials covered sit at the intersection of pure Mathematics and application-driven Computer Science and efforts will be made to accommodate Math majors and Computer Science majors of varying math/computational backgrounds. Topics include: graph theory, triangulation, convex hulls, geometric structures such as Voronoi diagrams and Delaunay triangulations, as well as curves and polyhedra surface topology. Prerequisite: CMSC/MATH B/H231 and CMSC B206 or CMSC/MATH B/H231 and CMSC H106 or CMSC/MATH B/H231 and CMSC H107.
Quantitative Readiness Required (QR)

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CMSC B340 Analysis of Algorithms
Fall 2021
This course will cover qualitative and quantitative analysis of algorithms and their corresponding data structures from a precise mathematical point of view. Topics include: performance bounds, asymptotic and probabilistic analysis, worst case and average case behavior and correctness and complexity. Particular classes of algorithms will be studied in detail.
Quantitative Readiness Required (QR)

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ECON B304 Econometrics
Spring 2022
The econometric theory presented in ECON 253 is further developed and its most important empirical applications are considered. Each student does an empirical research project using multiple regression and other statistical techniques. Prerequisites:ECON B253 or ECON H203 or ECON H204 and ECON B200 or ECON B202 and MATH B201 or permission of instructor.
Counts toward Counts toward Introduction to Data Science

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PHYS B306 Mathematical Methods in the Physical Sciences
Fall 2021
This course presents topics in applied mathematics useful to students, including physicists, engineers, physical chemists, geologists, and computer scientists studying the natural sciences. Topics are taken from Fourier series, integral transforms, advanced ordinary and partial differential equations, special functions, boundary-value problems, functions of complex variables, and numerical methods. Lecture three hours and additional recitation sessions as needed. Prerequisite: MATH 201 and 203.

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PHYS B328 Galactic Dynamics & Advanced Classical Mechanics
Spring 2022
This course is for the advanced undergraduate interested in the physics galactic dynamics and evolution, i.e. collisionless, gravitational N-body systems composed of stars and dark matter. Topics covered will include potential theory, orbit theory, collisionless Boltzmann equation, Jeans equations, disk stability, violent relaxation, phase mixing, dynamical friction and kinetic theory. To support the these theories, we will also cover advanced topics in classical mechanics including Lagrange & Hamilton methods, the central force problem, canonical transformations, action-angle variables, chaos and perturbation theory. This course is taught in a seminar format, in which students are responsible for presenting much of the course material in class meetings. Prerequisites: MATH B201, MATH B203, PHYS B201, B214, and PHYS B308 or permission from instructor.

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