Mathematical Biology Option
This option is available within the Mathematics major at the following location:
- Corvallis
In addition to the usual required lower-division mathematics courses and the junior core courses, mathematics majors in the Mathematical Biology option have an opportunity to concentrate much of their further coursework on applied mathematics, mathematical biology, modeling and computation.
Option Code: 737
Upon successful completion of the program, students will meet the following learning outcomes:
- Demonstrate mathematical reasoning skills by reading, writing, and explaining formal definitions, theorems, and proofs.
- Analyze mathematical problems by applying the theory and techniques from a variety of mathematical perspectives.
- Use computational technology to support problem solving and mathematical understanding.
- Use mathematical concepts and techniques to recognize, formulate and analyze questions from another discipline.
- Communicate mathematics effectively.
A grade of at least C– and a GPA of 2.25 are required in all mathematics courses used to fulfill degree requirements. No course used to fulfill requirements for the mathematics major or any of its options may be taken S/U.
| Code | Title | Credits |
|---|---|---|
| Biology & Chemistry | ||
| BI 221Z & BI 222Z & BI 223Z | +*PRINCIPLES OF BIOLOGY: CELLS and *PRINCIPLES OF BIOLOGY: ORGANISMS and *PRINCIPLES OF BIOLOGY: ECOLOGY AND EVOLUTION | 15 |
| CH 221Z & CH 227Z | GENERAL CHEMISTRY I and +*GENERAL CHEMISTRY I LABORATORY | 5 |
| Area Coursework | ||
| MTH 427 | INTRODUCTION TO MATHEMATICAL BIOLOGY | 3 |
| MTH 428 | STOCHASTIC ELEMENTS IN MATHEMATICAL BIOLOGY | 3 |
| MTH 463 | PROBABILITY I | 3 |
| MTH 480 | SYSTEMS OF ORDINARY DIFFERENTIAL EQUATIONS | 3 |
| ST 351 | INTRODUCTION TO STATISTICAL METHODS | 4 |
| or ST 411 | METHODS OF DATA ANALYSIS | |
| Directed Electives | ||
| Select one course from the following: | 3 | |
| MULTIVARIABLE ADVANCED CALCULUS | ||
| METRIC SPACES AND TOPOLOGY | ||
| COMPLEX VARIABLES | ||
| Select one course from the following: | 3 | |
| MODELS AND METHODS OF APPLIED MATHEMATICS | ||
| COMPUTATIONAL NUMBER THEORY | ||
| APPLIED AND COMPUTATIONAL ALGEBRA | ||
| PROBABILITY II | ||
| APPLIED PARTIAL DIFFERENTIAL EQUATIONS | ||
| Select one course from the following: | 3 | |
| INTRODUCTION TO NUMERICAL ANALYSIS | ||
| NUMERICAL LINEAR ALGEBRA | ||
| NUMERICAL SOLUTION OF ORDINARY DIFFERENTIAL EQUATIONS | ||
| Select one course from the following or another upper-division life science course approved by a mathematics advisor: | 3-4 | |
| FOUNDATIONS OF BIOLOGICAL DATA SCIENCES | ||
| GENETICS | ||
| MARINE ECOLOGY | ||
| ECOLOGY | ||
| EVOLUTION | ||
| PLANT ECOLOGY | ||
| NETWORKS IN COMPUTATIONAL BIOLOGY | ||
| INTRODUCTORY POPULATION DYNAMICS | ||
| Total Credits | 48 | |
- *
Baccalaureate Core course. Applies to general education requirements for undergraduate students in a catalog year up to 2024-2025
- +
Core Education course. Applies to general education requirements for undergraduate students in catalog year 2025-2026 and beyond
Option Code: 737