The Study Program of the Department of Mathematics

 

         Syllabi for the courses may be obtained by Ctrl-Click on the links

 

A summary is given here of the courses each track requires, the full information is given in the Tables.

 

It is useful to divide the undergraduate courses into a number of subsets:

 

A  Basics (44 semester hours)

112 / 113   Linear Algebra 1,2

132 / 133 / 230 / 236 Infinitesimal Calculus 1,2,3,4

211 Abstract Algebra 1 (Group Theory)

231 Complex Variables

A' Accelerated Basics (12 semester hours)

134 Calculus

117 Introduction to Linear Algebra and Applications

B  Other Basics (8 semester hours)

195 Discrete Math

151 Computers in Mathematics

C  Differential Equations (14 semester hours)

240 ODE         

241  PDE

235 Fourier Analysis

D  Mathematics for Teaching (12 semester hours)

537  Euclidean Geometry

599  Breakthroughs in Math

601 / 602 High School Math from an Advanced Viewpoint 1,2

E  Computers (13 semester hours)

170  Programming (C)

280 Data Structures and Algorithms

630  Image Processing

G  Applications (9 semester hours)

320  Physics for Mathematicians

385  Applied Math Project

H  Advanced Basics (24 semester hours)

202   Set Theory

212  Abstract Algebra 2 (rings.(

222  Topology

234  Introduction to Differential Equations

265  Introduction to Probability and Statistics

S  Statistics (48 semester hours.)

161 /162  Intro to Prob and Stat 1,2

260    Regression

266    Queuing Theory

268    Statistical Software Packages

275 / 277 Stat Theory 1,2

360/ 361   Applications of Statistics 1,2

367    Simulation

369    Operations Research

572    Markov Chains

Other courses not listed above:

311    Abstract Algebra 3 (Galois theory)

315    Integral Transforms

341     Modern Analysis 1  

374    Applied Algebra

376    Numerical Methods 1

 

Requirements for the different tracks

 

Extended

1) Pure Math: A,B,C,H (except 234),341,376 (96 semester hours) + 24 hours Electives

2) Applied Math

   Option 1: A,B,C,E,G,222,265,315,376 (105 semester hours) + 15 hours Electives

   Option 2: A,B,C,E,212,222,265,311,374,376 (106 semester hours) + 14 hours Electives

3)  Mathematics and Statistics

   Option 1: A,B,H (replacing 265 by 373),S,376 (126 semester hours)

      Option 2: A,B,C,S,315,373,376 (125 semester hours)

 

Major

1)  Pure Math: A,B,H,341 (81 semester hours) + 6 hours electives

2)  Applied Math: A,B,C,265,315,376 (78 semester hours) + 9 hours electives

3)  Mathematics for Teachers: A,B,D,H (88 semester hours.(

4)  Statistics: A',B,S,234,376 (76 semester hours) + 12 hours electives

5)  Double major with CS: same as 1) or 2) without elective hours

6)  Double major with physics: same as 1) without 234 and without electives

 

Minor

37  semester hours of courses

 

Master's Degree with Thesis

Students are obliged to take 29 semester hours of courses including 7 3-hour courses from the list of core courses below, 1 2-hour seminar, and 6 hours of optional courses (which may include one course at an undergraduate level).

 

Core courses

813  Commutative Algebra

815  Noncommutative Algebra

854  Lie Groups and Algebras

831  Complex Analysis

833  Modern Analysis 2

821  Algebraic Topology 2 (520 Algebraic Topology 1 is an undergraduate elective)

825  Algebraic Geometry 2 (525 Algebraic Geometry 1 is an undergraduate elective)

 826 Differential Geometry 2 (525 Differential Geometry 1 is an undergraduate elective)

900  Methods for Differential Equations

901  Applied Differential Equations

809  Dynamical Systems

902  Numerical Analysis and Scientific Programming

962  Probability and Stochastic Processes

 

 

Master's Degree in Financial Mathematics without Thesis

 

Background courses for economics and business majors

804 Optimatization

234 Differential Equations

 

Background courses for science majors

795 Introduction to Finance

788 Introduction to Economics

 

Background courses in Mathematics and Statistics

 

720 Introduction to Game Theory for Finance

962 / 963 Probability and Stochastic Processes I, II

793 Analysis of Statistical Data

 

Core courses in derivative pricing and risk management

 

902 Numerical Methods for Finance

974 / 976 Financial Mathematics I, II

924 Options Pricing

723 Investment Portfolio Management

724 Pricing Theory

983 Actuarial Science and Risk Management

725 Financial Instruments

 

Seminars and electives

726 Seminar:  Topics in Financial Mathematics

721 Seminar:  Risk Management

722 Seminar:  Game Theory

727 Analyzing Annual Reports and Estimating the Value of a Firm

728 Banking Theory

729 Regulation of the Financial Markets