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Suggested Courses for Preparation for Candidacy, Mathematics and Statistics Ph.D. Programs

(Applicable to students who have passed the Ph.D. written examination)


Algebra/Number Theory

A student who wishes to pursue thesis research in algebra/number theory should complete Math 600, 601, and either 606 or 620. In addition, the student should take at least one course chosen from among Math 603, 607, 608, and 621. A typical candidacy oral examination in algebra consists of a two-lecture oral report on a research paper or advanced monograph chosen in consultation with the student's advisor. The report will typically take the form of two lectures, each lasting approximately one hour.


Partial Differential Equations

A student who wishes to work in partial differential equations is advised to take the two basic one-year sequences in differential equations, MATH 673/674 (PDE) and MATH 670/671 (ODE). Some background in areas where partial differential equations are applied (e.g., physics, differential geometry) and/or other areas of analysis (especially complex and functional analysis) is also helpful.


Geometry/Topology

A student wishing to work in geometry or topology is advised to take at least 15 credit hours of course work in topology or geometry, including at least three of the courses 730, 734, 740, 742 and at least one special topics course. It is also advisable to attend the weekly Geometry/Topology Seminar.


Representation Theory

Representation theory (of real and p-adic Lie groups, quantum groups, Lie algebras, etc.) is a somewhat interdisciplinary field, involving a combination of algebra, analysis, and geometry. Students interested in working in this area should have a basic preparation in these three areas (at the level of the written qualifying exams), and are also advised to take MATH 744/745 (Lie groups) and MATH 636 (representation theory). Courses in number theory, algebraic geometry, or functional analysis may also be useful.


Numerical Analysis

To prepare for work in numerical analysis, a student should take AMSC 666/667 and at least two of the courses AMSC 600, 607, 610, 612, 614, or 660/661.


Real Analysis/Functional Analysis

A student who wishes to pursue thesis research in real/functional analysis is advised to complete MATH 630, 631, and 660, or the equivalent, plus two of the courses MATH 632 (functional analysis), MATH 634 (harmonic analysis), and MATH 636 (representation theory).


Probability Theory

The basic probability courses are STAT 600/601 and 650. Depending on the area of probability one is interested in, courses in analysis, geometry, or differential equations may also be useful.


Mathematical Logic

To prepare to do research in mathematical logic, a student is advised to complete MATH 712/713, MATH 710, and MATH 715, and to participate regularly in the Logic Seminar.


Ordinary Differential Equations/Dynamical Systems

A student who wishes to pursue thesis research in ODE/Dynamical systems should complete MATH 630, 631 and 670 or the equivalent, plus two of the following: MATH 671, 642, 643, 730. Such a student is also advised to attend the Dynamics Seminar and/or Applied Dynamics Seminar on a regular basis.


Complex Analysis

Students wishing to specialize in complex analysis should pass the written qualifying exam at the PhD level in analysis, and should also complete MATH 660/661 and at least one reading course or special topics course in complex analysis. Complex analysis is not so much a single field as a point of view impinging on many areas of mathematics (dynamics, geometry, number theory, PDE, harmonic analysis, probability, functional analysis, etc.), and it is perfectly possible to use complex analysis in diverse areas of mathematics without being a specialist in complex analysis.


Mathematical Statistics

Students interested in work in statistics (this especially applies to students in the STAT program) are advised to begin with the basic sequences STAT 600/601, STAT 700/701, and STAT 740/741, STAT 440, and STAT 650, and are also urged to attend the Statistics Workshop and Statistics Seminar.