Applied and Computational Mathematics Option
This option is available within the Mathematics major at the following location:
- Corvallis
The Applied and Computational option offers Mathematics majors an opportunity to concentrate much of their upper-division course work in the area of applied and computational mathematics. This degree option is designed to allow students to focus on applied mathematics, modeling, and computation after completing core junior and lower-division mathematics requirements.
Option Code: 692
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.
The lower-division requirements for the Applied and Computational Mathematics option are the same as those for the Mathematics BS degree. The upper-division requirements are as follows.
Code | Title | Credits |
---|---|---|
Upper-Division Requirements | ||
Part A. Required Applied and Computational Mathematics Core Classes | ||
MTH 311 & MTH 312 | ADVANCED CALCULUS I and ADVANCED CALCULUS II | 8 |
MTH 323 | ^MATHEMATICAL MODELING | 3 |
MTH 341 | LINEAR ALGEBRA I | 3 |
MTH 342 | LINEAR ALGEBRA II | 4 |
MTH 343 | INTRODUCTION TO MODERN ALGEBRA | 4 |
MTH 355 | DISCRETE MATHEMATICS | 3 |
MTH 483 | COMPLEX VARIABLES | 3 |
Part B. Area Course Work | ||
Select five of the following: ^{1} | 15 | |
MODELS AND METHODS OF APPLIED MATHEMATICS | ||
COMPUTATIONAL NUMBER THEORY | ||
APPLIED AND COMPUTATIONAL ALGEBRA | ||
NUMERICAL LINEAR ALGEBRA | ||
NUMERICAL SOLUTION OF ORDINARY DIFFERENTIAL EQUATIONS | ||
NUMERICAL SOLUTION OF PARTIAL DIFFERENTIAL EQUATIONS | ||
SYSTEMS OF ORDINARY DIFFERENTIAL EQUATIONS | ||
APPLIED ORDINARY DIFFERENTIAL EQUATIONS | ||
APPLIED PARTIAL DIFFERENTIAL EQUATIONS | ||
Part C. Probability or Statistics | ||
Select one of the following: | 3-4 | |
INTRODUCTION TO PROBABILITY | ||
PROBABILITY I | ||
INTRODUCTION TO STATISTICAL METHODS | ||
INTRODUCTION TO MATHEMATICAL STATISTICS | ||
Part D. Electives | ||
Select two additional upper-division elective courses of a mathematical nature ^{2} | 6 | |
Total Credits | 52-53 |
- ^{ 1 }
Either MTH 453 or MTH 482 must be included. (Note: Only one of MTH 480 and MTH 481 can be used to satisfy requirements for a degree in Mathematics.)
- ^{ 2 }
This includes non-blanket numbered (not X99- or X0X-numbered) upper-division MTH courses, upper-division ST courses, or other courses of a mathematical nature approved by the departmental head advisor. MTH 390 is not allowed.
- ^
Writing Intensive Course (WIC)
Option Code: 692