Description
This Option gives students a broad background in mathematics and computation with special emphasis on discrete mathematics and its application to optimization and algorithm design. It is particularly well suited for students interested in mathematical aspects of Computer Science, or who wish to pursue a double major in this direction.
Option Core (33 credits or 24 credits)

PHYS 121, 122, 123 (5,5,5)
For nonCSE majors (18 credits):
 MATH 300: (3) Mathematical Reasoning
 MATH/STAT 394: (3) Probability I
 CSE 373: (3) Data Structures and Algorithms
 CSE 417: (3) Algorithms and Complexity
 Two of the following:
For CSE (double) majors (9 credits):
 MATH/STAT 394: (3) Probability
 CSE 421: (3) Introduction to Algorithms
 CSE 431: (3) Introduction to Theory of Computation
Option Electives  Group I (914 credits)
Three of the following courses. At least two courses must be taken in the MATH department:
 MATH 461: (3) Combinatorial Theory I
 MATH 462: (3) Combinatorial Theory II
 MATH 407: (3) Linear Optimization
 MATH 408: (3) Nonlinear Optimization
 MATH 409: (3) Discrete Optimization
 AMATH 481: (5) Scientific Computing
 AMATH 482: (5) Computational Methods for Data Analysis
 AMATH 483: (5) HighPerformance Scientific Computing
Option Electives  Group II (5 credits or 14 credits)
At least 5 additional credits (14 additional credits for CSE (double) majors) from approved courses (at the 300 level or higher) in the Departments of Applied Mathematics, Computer Science and Engineering, Mathematics and Statistics. The courses listed above in Group I are particularly recommended.
Double majors / Double degrees: Students who complete a double major or double degree with CS or CE will have to take additional courses in the CSE department as required for that major. These credits may be counted toward the Group II electives.