Minor in Computational and Applied Mathematics
Program Learning Outcomes for the Minor in Computational and Applied Mathematics
Upon completing the minor in Computational and Applied Mathematics, students will be able to:
- Use modern numerical methods to analyze and solve typical problems in linear systems.
- Design and test a mathematical model, following a multi-stage process.
Requirements for the Minor in Computational and Applied Mathematics
Students pursuing the minor in Computational and Applied Mathematics must complete:
- A minimum of 6 courses (18 credit hours) to satisfy minor requirements.
- A minimum of 5 courses (15 credit hours) taken at the 300-level or above.
- A maximum of 2 courses (6 credit hours) from study abroad or transfer credit. For additional departmental guidelines regarding transfer credit, see the Policies tab.
The courses listed below satisfy the requirements for this minor. In certain instances, courses not on this official list may be substituted upon approval of the minor’s academic advisor or, where applicable, the Program Director. (Course substitutions must be formally applied and entered into Degree Works by the minor's Official Certifier). Students and their academic advisors should identify and clearly document the courses to be taken.
Summary
| Code | Title | Credit Hours |
|---|---|---|
| Total Credit Hours Required for the Minor in Computational and Applied Mathematics | 18 | |
Minor Requirements
| Code | Title | Credit Hours |
|---|---|---|
| Core Requirements | ||
| CMOR 220 | INTRODUCTION TO ENGINEERING COMPUTATION | 3 |
| Select 1 course from the following: | 3 | |
| MATRIX ANALYSIS | ||
| MATRIX ANALYSIS FOR DATA SCIENCE | ||
| HONORS LINEAR ALGEBRA | ||
| LINEAR ALGEBRA | ||
| CMOR 304 | DIFFERENTIAL EQUATIONS IN SCIENCE AND ENGINEERING | 3 |
| or CMOR 360 | INTRODUCTION TO OPERATIONS RESEARCH AND OPTIMIZATION | |
| Elective Requirements | ||
| Select 3 elective courses from department approved electives (see course list below) 1 | 9 | |
| Total Credit Hours | 18 | |
Footnotes and Additional Information
| 1 | To fulfill the remaining Computational and Applied Mathematics minor requirements, students must complete a total of 3 additional courses (9 credit hours) at the 300-level or above from department approved coursework (see course list below). The elective courses completed must be taken for a minimum of 3 credit hours each. Of the 3 elective courses (9 credit hours), a minimum of 2 courses (6 credit hours) must be completed at the 400-level or above. Additionally, a minimum of 2 elective courses (6 credit hours) must be selected from departmental (CMOR) course offerings. Elective Requirements may not include CMOR 494, CMOR 495, or independent study courses (such as CMOR 490 or CMOR 491). |
Elective Requirements
| Code | Title | Credit Hours |
|---|---|---|
| CMOR 404 | GRAPH THEORY | 3 |
| CMOR 405 / MATH 423 | PARTIAL DIFFERENTIAL EQUATIONS I | 3 |
| CMOR 410 | MODELING MATHEMATICAL PHYSICS | 3 |
| CMOR 415 / ELEC 488 / NEUR 415 | THEORETICAL NEUROSCIENCE: FROM CELLS TO LEARNING SYSTEMS | 3 |
| CMOR 416 / ELEC 489 / NEUR 416 | NEURAL COMPUTATION | 3 |
| CMOR 420 | COMPUTATIONAL SCIENCE | 3 |
| CMOR 421 | HIGH PERFORMANCE COMPUTING | 3 |
| CMOR 423 / CEVE 455 | NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS | 3 |
| CMOR 435 / MATH 435 | DYNAMICAL SYSTEMS | 3 |
| CMOR 442 | LARGE-SCALE OPTIMIZATION | 3 |
| CMOR 446 | GRAPH ALGORITHMS | 3 |
| CMOR 451 | SIMULATION MODELING AND ANALYSIS | 3 |
| COMP 422 | PARALLEL COMPUTING | 4 |
| COMP 441 | LARGE-SCALE MACHINE LEARNING | 3 |
| COMP 522 | MULTI-CORE COMPUTING | 3 |
| ELEC 478 | INTRODUCTION TO MACHINE LEARNING | 3 |
| INDE 517 | MATHEMATICAL OPTIMIZATION FOUNDATIONS OF DATA SCIENCE | 3 |
| INDE 577 | DATA SCIENCE AND MACHINE LEARNING | 3 |
| MATH 322 | INTRODUCTION TO ANALYSIS II | 3 |
| MATH 382 | COMPUTATIONAL COMPLEX ANALYSIS | 3 |
| MATH 410 | CALCULUS OF VARIATIONS | 3 |
| MATH 412 | PROBABILITY THEORY | 3 |
| MATH 425 | INTEGRATION THEORY | 3 |
| MATH 427 | COMPLEX ANALYSIS | 3 |
| MATH 523 | FUNCTIONAL ANALYSIS | 3 |
| MECH 420 / ELEC 436 | FUNDAMENTALS OF CONTROL SYSTEMS | 3 |
| MECH 473 | ADVANCED FLUID MECHANICS I | 3 |
| MECH 474 | ADVANCED COMPUTATIONAL MECHANICS | 3 |
| STAT 418 | PROBABILITY | 3 |
| STAT 541 | MULTIVARIATE ANALYSIS | 3 |
Policies for the Minor in Computational and Applied Mathematics
Program Restrictions and Exclusions
Students pursuing the minor in Computational and Applied Mathematics should be aware of the following program restrictions:
- As noted in Majors, Minors, and Certificates, i.) students may declare their intent to pursue a minor only after they have first declared a major, and ii.) students may not major and minor in the same subject.
- Students pursuing the major in Operations Research may not additionally declare the minor in Computational and Applied Mathematics.
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Students pursuing the minor in Operations Research may not additionally declare the minor in Computational and Applied Mathematics.
Transfer Credit
For Rice University’s policy regarding transfer credit, see Transfer Credit. Some departments and programs have additional restrictions on transfer credit. Requests for transfer credit must be approved for Rice equivalency by the designated transfer credit advisor for the appropriate academic department offering the Rice equivalent course (corresponding to the subject code of the course content). The Office of Academic Advising maintains the university’s official list of transfer credit advisors on their website: https://oaa.rice.edu. Students are encouraged to meet with the applicable transfer credit advisor as well as their academic program director when considering transfer credit possibilities.
Departmental Transfer Credit Guidelines
Students pursuing the minor in Computational and Applied Mathematics should be aware of the following departmental transfer credit guideline:
- No more than 2 courses (6 credit hours) of transfer credit from U.S. or international universities of similar standing as Rice may apply towards the minor.
Additional Information
For additional information, please see the Computational Applied Mathematics and Operations Research website: https://cmor.rice.edu/.
Opportunities for the Minor in Computational and Applied Mathematics
Academic Honors
The university recognizes academic excellence achieved over an undergraduate’s academic history at Rice. For information on university honors, please see Latin Honors (summa cum laude, magna cum laude, and cum laude) and Distinction in Research and Creative Work. Some departments have department-specific Honors awards or designations.
Additional Information
For additional information, please see the Computational Applied Mathematics and Operations Research website: https://cmor.rice.edu/.