The concentration in Applied and Computational Mathematics is intended for any student who enjoys mathematics, problem solving, and applications to solving practical problems in business, government, and science. The concentration is intended especially for students seeking a career as quantitative analysts, computational scientists, and applied mathematicians, and for those thinking of continuing the study of applied or discrete mathematics at the graduate level.
Course Requirements
Course List Course | Title | Quarter Hours |
CSC 242 | INTRODUCTION TO COMPUTER SCIENCE II (or another approved computer science course) | 4 |
| 12 |
MAT 302 | COMBINATORICS | |
MAT 304 | DIFFERENTIAL EQUATIONS | |
MAT 384 | MATHEMATICAL MODELING | |
MAT 385 | NUMERICAL ANALYSIS I | |
| 8 |
MAT 335 | REAL ANALYSIS I | |
MAT 351 | PROBABILITY AND STATISTICS I | |
MAT 352 | PROBABILITY AND STATISTICS II | |
MAT 370 | ADVANCED LINEAR ALGEBRA | |
MAT 381 | FOURIER ANALYSIS AND SPECIAL FUNCTIONS | |
MAT 386 | NUMERICAL ANALYSIS II | |
| 4 |
MAT 303 | THEORY OF NUMBERS | |
MAT 305 | GRAPH THEORY | |
MAT 310 | ABSTRACT ALGEBRA I | |
MAT 311 | ABSTRACT ALGEBRA II | |
MAT 330 | METHODS OF COMPUTATION AND THEORETICAL PHYSICS I | |
MAT 331 | METHODS OF COMPUTATION AND THEORETICAL PHYSICS II | |
MAT 336 | REAL ANALYSIS II | |
MAT 337 | COMPLEX ANALYSIS | |
MAT 340 | TOPOLOGY | |
MAT 341 | STATISTICAL METHODS USING SAS | |
MAT 353 | PROBABILITY AND STATISTICS III | |
MAT 355 | STOCHASTIC PROCESSES | |
MAT 387 | OPERATIONS RESEARCH: LINEAR PROGRAMMING | |
MAT 388 | OPERATIONS RESEARCH: OPTIMIZATION THEORY | |
| 4 |
| |
| |
Students interested in graduate study in applied mathematics are encouraged to take: MAT 335 and MAT 336, MAT 370, MAT 385 and MAT 386.
Open Electives
Open elective credit also is required to meet the minimum graduation requirement of 192 hours.
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