 Faculty
 Field Description
 The Majors and Courses
 The Minor and Courses
 Courses
 Department of Mathematics Web Site
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 Arthur Apter (University Distinguished Professor)
 Jim Gatheral (Presidential Professor)
 Warren B. Gordon
 Miriam Hausman
 Bruce Jordan
 Laurence Kirby
 Elena Kosygina
 Andrew Lesniewski
 Anita Mayo
 Carlos Julio Moreno
 Alvany Rocha
 Aaron Todd
 TaiHo Wang
 C. Douglas Howard
 Rados Radoicic
 Jakob Reich
 Beryl I. Shaw
 Dan Stefanica
 Sherman Wong
 IngridMona Zamfirescu
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Required Courses All students must take the following three courses:  
 Algorithms, Computers and Programming I  3 credits  
 Advanced Calculus I  3 credits  
 Linear Algebra and Matrix Methods  3 credits  
Students may fulfill their calculus requirements by any one of the following three alternate calculus tracks: Track I:  
 Calculus I  4 credits  
 Calculus II  4 credits  
 Intermediate Calculus  4 credits  
or  
 MultiVariable and Vector Calculus  4 credits  
or Track II:  
 Analytic Geometry and Calculus I  5 credits  
 Analytic Geometry and Calculus II  5 credits  
or Track III:  
 Applied Calculus II  3 credits  
or  
 Applied Calculus and Matrix Applications  4 credits  
 Integral Calculus  4 credits  
 Analytic Geometry and Calculus II  5 credits  
Electives Any four 4000level or 5000level courses from the following group:  
 Advanced Calculus II  3 credits  
 Topology  3 credits  
 Ordinary Differential Equations  3 credits  
 Introduction to Probability  4 credits  
 Numerical Methods for Differential Equations in Finance  4 credits  
 Introduction to Stochastic Process  4 credits  
 Mathematics of Statistics  4 credits  
 Computational Methods in Probability  3 credits  
 Graph Theory  3 credits  
 Mathematical Modeling *  3 credits  
 Combinatorics  3 credits  
 Theory of Numbers  3 credits  
 Elements of Modern Algebra  3 credits  
 History of Mathematics  3 credits  
 Differential Geometry *  3 credits  
 Algorithms, Computers and Programming II *  3 credits  
 Methods of Numerical Analysis  3 credits  
 Introduction to Mathematical Logic  3 credits  
 Fundamental Algorithms  3 credits  
 Introductory Financial Mathematics  4 credits  
 Advanced Calculus III *  3 credits  
 Theory of Functions of a Complex Variable*  3 credits  
 Theory of Functions of Real Variables*  3 credits  
 Partial Differential Equations and Boundary Value Problems*  4 credits  
 Stochastic Calculus for Finance  4 credits  
* These courses are offered infrequently, subject to student demand.  
Mathematics of Finance Concentration: Students who wish to have a concentration in the Mathematics of Finance should choose the following five electives:  
 Ordinary Differential Equations  3 credits  
 Introduction to Probability  4 credits  
 Introduction to Stochastic Process  4 credits  
 Computational Methods in Probability  3 credits  
 Introductory Financial Mathematics  4 credits  
In addition, students should take:  
 MicroEconomics  3 credits  
 MacroEconomics  3 credits  
 Principles of Finance  3 credits  
 Corporate Finance  3 credits  
or  
 Investment Analysis  3 credits 
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Courses
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Courses in Mathematics (MTH)
 College Algebra  4 hours; 2 credits  
 Precalculus and Elements of Calculus  4 hours; 3 credits  
 Mathematics Appreciation  3 hours; 3 credits  
 Mathematics and Quantitative Reasoning  4 hours; 3 credits  
 Ideas in Mathematics and Their Applications  4 hours; 3 credits  
 Applied Calculus II  4 hours; 3 credits  
 Applied Calculus  3 hours; 3 credits  
 Applied Calculus and Matrix Applications  4 hours; 4 credits  
 Concepts of Discrete Mathematics  3 hours; 3 credits  
 Calculus I  4 hours; 4 credits  
 Analytic Geometry and Calculus I  5 hours; 5 credits  
 Integral Calculus  4 hours; 4 credits  
 Elementary Calculus II  4 hours; 4 credits  
 Intermediate Calculus  4 hours; 4 credits  
 Analytic Geometry and Calculus II  5 hours; 5 credits  
 Actuarial Science Theory and Problem Seminar  2 hours; 2 credits  
 MultiVariable and Vector Calculus  4 hours; 4 credits  
 Selected Topics in Discrete Mathematics  3 hours; 3 credits  
 Elementary Probability  3 hours; 3 credits  
 "Algorithms, Computers, and Programming I"  4 hours; 3 credits  
 Actuarial Science Internship  1 hour; 1 credit  
 Actuarial Science Internship  1 hour; 1 credit  
 Actuarial Science Internship  1 hour; 1 credit  
 Actuarial Science Internship  1 hour; 1 credit  
 Math Internship  1 hour; 1 credit  
 Math Internship  1 hour; 1 credit  
 Math Internship  1 hour; 1 credit  
 Math Internship  1 hour; 1 credit  
 Bridge to Higher Mathematics  4 hours; 3 credits  
 ProblemSolving Seminar  3 hours; 3 credits  
 Advanced Calculus I  3 hours; 3 credits  
 Advanced Calculus II  3 hours; 3 credits  
 Topology  3 hours; 3 credits  
 Linear Algebra and Matrix Methods  3 hours; 3 credits  
 Ordinary Differential Equations  3 hours; 3 credits  
 Numerical Methods for Differential Equations in Finance  4 hours; 4 credits  
 Introduction to Probability  4 hours; 4 credits  
 Introduction to Stochastic Processes  4 hours; 4 credits  
 Mathematics of Statistics  4 hours; 4 credits  
 Computational Methods in Probability  4 hours; 3 credits  
 Graph Theory  3 hours; 3 credits  
 Mathematical Modeling  3 hours; 3 credits  
 Combinatorics  3 hours; 3 credits  
 Theory of Numbers  3 hours; 3 credits  
 Elements of Modern Algebra  3 hours; 3 credits  
 "Finite Fields, Algebraic Curves, and Applications"  3 hours; 3 credits  
 History of Mathematics  4 hours; 4 credits  
 Differential Geometry  3 hours; 3 credits  
 "Algorithms, Computers, and Programming II"  4 hours; 3 credits  
 Methods of Numerical Analysis  3 hours; 3 credits  
 Introduction to Mathematical Logic  4 hours; 3 credits  
 Fundamental Algorithms  4 hours; 3 credits  
 Switching Theory  3 hours; 3 credits  
 Special Topics in Computer Science  3 hours; 3 credits  
 Finite Differences  4 hours; 4 credits  
 Theory of Interest  4 hours; 4 credits  
 Actuarial Mathematics  4 hours; 4 credits  
 Actuarial Mathematics II  4 hours; 4 credits  
 Risk Theory  4 hours; 4 credits  
 Introductory Financial Mathematics  4 hours; 4 credits  
 Data Analysis and Simulation for Financial Engineers  4 hours; 4 credits  
 Independent Study I  Hours and credits to be arranged  
 Independent Study II  Hours and credits to be arranged  
 Independent Study III  Hours and credits to be arranged  
 Independent Study IV  Hours and credits to be arranged  
 Independent Study V  Hours and credits to be arranged  
 Advanced Calculus III  3 hours; 3 credits  
 Theory of Functions of a Complex Variable  3 hours; 3 credits  
 Theory of Functional of Real Variables  3 hours; 3 credits  
 Partial Differential Equations and Boundary Value Problems  4 hours; 4 credits  
 Stochastic Calculus for Finance  4 hours; 4 credits  
 Honors in Mathematics I  Hours and credits to be arranged  
 Honors in Mathematics II  Hours and credits to be arranged  
 Honors in Mathematics III  Hours and credits to be arranged 
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