Mathematics—Applied (B.S.)
Program Requirements
Code | Title | Credit Hours |
---|---|---|
General Education 23 Requirements | ||
33 credit hours | 33 | |
Mathematics Major Requirements (54 credit hours) | ||
Required Courses (36 credit hours) | ||
MAT 161 | CALCULUS I | 4 |
MAT 162 | CALCULUS II | 4 |
MAT 163 | USING TECHNOLOGY TO EXPLORE CALCULUS I | 1 |
MAT 164 | USING TECHNOLOGY TO EXPLORE CALCULUS II | 1 |
MAT 202 | INTRODUCTION TO LINEAR ALGEBRA | 3 |
MAT 241 | COMPUTATIONAL TOOLS FOR APPLIED MATHEMATICIANS I | 3 |
MAT 263 | CALCULUS III | 4 |
MAT 264 | USING TECHNOLOGY TO EXPLORE CALCULUS III | 1 |
MAT 270 | DISCRETE MATHEMATICS | 3 |
MAT 315 | DIFFERENTIAL EQUATIONS | 3 |
MAT 381 | PROBABILITY THEORY | 3 |
MAT 382 | TOPICS IN MATHEMATICAL STATISTICS | 3 |
AMT 495 | APPLIED MATHEMATICS PROJECT | 3 |
Concentration Selected by Advisement (18 credit hours) | 18 | |
All College Electives | ||
33 credit hours | 33 | |
Total Credit Hours | 120 |
Concentration in Statistical Modeling
Code | Title | Credit Hours |
---|---|---|
Required Courses (9 credit hours) | ||
MAT 383 | APPLIED STATISTICS I | 3 |
MAT 481 | STOCHASTIC PROCESSES | 3 |
MAT 484 | APPLIED STATISTICS II | 3 |
Electives (9 credit hours) | 9 | |
TECHNIQUES OF PROOF | ||
INTERMEDIATE DIFFERENTIAL EQUATIONS | ||
MATHEMATICAL MODELING | ||
MATHEMATICAL BIOLOGY | ||
COMPUTATIONAL TOOLS FOR APPLIED MATHEMATICIANS II | ||
APPLIED NETWORKS | ||
INTRODUCTION TO OPERATIONS RESEARCH | ||
APPLICATIONS OF LINEAR ALGEBRA | ||
COMPLEX VARIABLES | ||
INTRODUCTION TO REAL ANALYSIS I | ||
NUMERICAL ANALYSIS | ||
MODELS AND METHODS OF ACTUARIAL MATHEMATICS | ||
SEMINAR (1-3) | ||
INDEPENDENT STUDY (3-12) | ||
Total Credit Hours | 18 |
Concentration in Analytical and Computational Modeling
Code | Title | Credit Hours |
---|---|---|
Required Courses (9 credit hours) | ||
MAT 316 | INTERMEDIATE DIFFERENTIAL EQUATIONS | 3 |
MAT 390 | INTRODUCTION TO OPERATIONS RESEARCH | 3 |
MAT 461 | NUMERICAL ANALYSIS | 3 |
Electives (9 credit hours) | 9 | |
TECHNIQUES OF PROOF | ||
MATHEMATICAL MODELING | ||
MATHEMATICAL BIOLOGY | ||
COMPUTATIONAL TOOLS FOR APPLIED MATHEMATICIANS II | ||
APPLIED NETWORKS | ||
APPLIED STATISTICS I | ||
APPLICATIONS OF LINEAR ALGEBRA | ||
COMPLEX VARIABLES | ||
INTRODUCTION TO REAL ANALYSIS I | ||
STOCHASTIC PROCESSES | ||
APPLIED STATISTICS II | ||
MODELS AND METHODS OF ACTUARIAL MATHEMATICS | ||
SEMINAR (1-3) | ||
INDEPENDENT STUDY (3-12) | ||
Total Credit Hours | 18 |
Concentration in Biological and Actuarial Modeling
Code | Title | Credit Hours |
---|---|---|
Required Courses (9 credit hours) | ||
MAT 318 | MATHEMATICAL MODELING | 3 |
MAT 319 | MATHEMATICAL BIOLOGY | 3 |
MAT 486 | MODELS AND METHODS OF ACTUARIAL MATHEMATICS | 3 |
Electives (9 credit hours) | 9 | |
TECHNIQUES OF PROOF | ||
INTERMEDIATE DIFFERENTIAL EQUATIONS | ||
COMPUTATIONAL TOOLS FOR APPLIED MATHEMATICIANS II | ||
APPLIED NETWORKS | ||
APPLIED STATISTICS I | ||
INTRODUCTION TO OPERATIONS RESEARCH | ||
APPLICATIONS OF LINEAR ALGEBRA | ||
COMPLEX VARIABLES | ||
INTRODUCTION TO REAL ANALYSIS I | ||
NUMERICAL ANALYSIS | ||
STOCHASTIC PROCESSES | ||
APPLIED STATISTICS II | ||
MAT 490 | SEMINAR | 1-3 |
INDEPENDENT STUDY (3-12) | ||
Total Credit Hours | 19-21 |
Students will:
- master the subject matter, which includes mastery of mathematical ideas as well as techniques.
- understand the nature of quantitative and qualitative reasoning.
- master computer tools to experiment with mathematical concepts, implement mathematical models and analyze data.
- communicate their mathematical ideas and results, both orally and in writing, with clarity and precision, to experts as well as to non-experts in the field.
- be able to relate mathematical ideas and techniques to other disciplines.