Mathematics (B.S.)
Required course work includes the university requirements (see regulation J-3) and:
| Code | Title | Hours |
|---|---|---|
| MATH 170 | Calculus I | 4 |
| MATH 175 | Calculus II | 4 |
| MATH 275 | Calculus III | 3 |
| MATH 330 | Linear Algebra | 3 |
| Options | ||
| Select one of the following options: | 36-54 | |
| Total Hours | 50-68 | |
A. General Option
This is the traditional curriculum in Mathematics. It is more mathematically rigorous than the other options. It is especially good for secondary education majors and students intending to go to graduate school in Mathematics or other sciences.
| Code | Title | Hours |
|---|---|---|
| Math Courses | ||
| MATH 176 | Discrete Mathematics | 3 |
| MATH 215 | Proof via Number Theory | 3 |
| MATH 310 | Ordinary Differential Equations | 3 |
| MATH 461 | Abstract Algebra I | 3 |
| MATH 471 | Introduction to Analysis I | 3 |
| Select one of the following: | 3 | |
| Advanced Linear Algebra | ||
| Mathematical Statistics | ||
| Stochastic Models | ||
| Abstract Algebra II | ||
| Introduction to Analysis II | ||
| Combinatorics | ||
| Select four math courses above 310 | 12 | |
| Supporting Courses | ||
| STAT 301 | Probability and Statistics | 3 |
| CS 112 | Computational Thinking and Problem Solving | 3 |
| or CS 120 | Computer Science I | |
| Total Hours | 36 | |
Courses to total 120 credits for this degree
B. Applied - Computation Option
The emphasis is on the mathematics related to computer science and technology. With a major or minor in computer sciences this is a good preparation for work in the computer industry.
| Code | Title | Hours |
|---|---|---|
| Math Courses | ||
| MATH 176 | Discrete Mathematics | 3 |
| MATH 215 | Proof via Number Theory | 3 |
| MATH 310 | Ordinary Differential Equations | 3 |
| MATH 385 | Theory of Computation | 3 |
| MATH 395 | Analysis of Algorithms | 3 |
| MATH 415 | Cryptography | 3 |
| MATH 428 | Numerical Methods | 3 |
| or MATH 432 | Numerical Linear Algebra | |
| MATH 452 | Mathematical Statistics | 3 |
| or STAT 301 | Probability and Statistics | |
| Select two additional courses from the following: | 6 | |
| Discrete Mathematics II | ||
| Discrete Optimization | ||
| Advanced Linear Algebra | ||
| Numerical Linear Algebra | ||
| Probability Theory | ||
| Mathematical Statistics | ||
| Abstract Algebra I | ||
| Abstract Algebra II | ||
| Combinatorics | ||
| Supporting Courses | ||
| CS 120 | Computer Science I | 4 |
| CS 121 | Computer Science II | 3 |
| Total Hours | 37 | |
Courses to total 120 credits for this degree
C. Applied – Quantitative Modeling Option
The emphasis is on the mathematics used to model phenomena in engineering, science, business and economics. With a second major in one of these disciplines, this provides ideal preparation for graduate school.
| Code | Title | Hours |
|---|---|---|
| Math Courses | ||
| MATH 176 | Discrete Mathematics | 3 |
| MATH 215 | Proof via Number Theory | 3 |
| MATH 310 | Ordinary Differential Equations | 3 |
| MATH 428 | Numerical Methods | 3 |
| MATH 451 | Probability Theory | 3 |
| MATH 437 | Mathematical Biology | 3 |
| or MATH 438 | Mathematical Modeling | |
| STAT 301 | Probability and Statistics | 3 |
| or MATH 452 | Mathematical Statistics | |
| Select three additional courses from the following: | 9 | |
| Mathematical Physics | ||
| Discrete Mathematics II | ||
| Cryptography | ||
| Complex Variables | ||
| Discrete Optimization | ||
| Numerical Linear Algebra | ||
| Mathematical Modeling | ||
| Mathematical Statistics | ||
| Stochastic Models | ||
| Introduction to Analysis I | ||
| Introduction to Analysis II | ||
| Combinatorics | ||
| Partial Differential Equations | ||
| Quantitative Electives | ||
| Select 6 credits of advisor-approved quantitative electives in Science, Engineering, Business, Economics, etc. | 6 | |
| Supporting course | ||
| CS 120 | Computer Science I | 4 |
| Total Hours | 40 | |
Courses to total 120 credits for this degree
D. Applied - Mathematical Biology Option
This option offers training across Mathematics and Biology and provides the background to pursue a career in technical industries and to obtain graduate degrees in Biomathematics, Biostatistics, and Bioinformatics.
| Code | Title | Hours |
|---|---|---|
| Math and Statistics Courses | ||
| MATH 437 | Mathematical Biology | 3 |
| MATH 451 | Probability Theory | 3 |
| MATH 452 | Mathematical Statistics | 3 |
| STAT 251 | Statistical Methods | 3 |
| or STAT 301 | Probability and Statistics | |
| Select two courses from the following: | 6 | |
| Ordinary Differential Equations | ||
| Stochastic Models | ||
| Statistical Analysis | ||
| Select two courses from the following: | 6 | |
| Numerical Methods | ||
| Advanced Linear Algebra | ||
| Partial Differential Equations | ||
| Biology Courses | ||
| BIOL 114 | Organisms and Environments | 4 |
| BIOL 115 | Cells and the Evolution of Life | 3 |
| BIOL 115L | Cells and the Evolution of Life Laboratory | 1 |
| BIOL 310 | Genetics | 3 |
| BIOL 456 | Computer Skills for Biologists | 3 |
| Select 12 Credits Upper Division Biology courses | 12 | |
| Supporting Courses | ||
| CHEM 111 | General Chemistry I | 3 |
| CHEM 111L | General Chemistry I Laboratory | 1 |
| Total Hours | 54 | |
Courses to total 120 credits for this degree
- Students should be able to think critically, apply problem solving strategies, and be able to construct and defend mathematical proofs.
- Students should be able to use mathematical structures and the language of mathematics to formulate models for real-world problems.
- Students should be able to effectively communicate their work and should gain experience working in collaborative settings.