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CAAM Minor

Skills in computational and applied mathematics prove invaluable to every quantitative discipline. Many students would benefit from a richer foundation in applied mathematics than is obliged by the basic requirements of their major. To encourage such students to further their studies, the CAAM department has created an undergraduate minor.

The CAAM minor will provide a core of knowledge in our discipline, while allowing students sufficient flexibility to tailor the curriculum to complement their major interests. All students will take courses in basic mathematical modeling and computing (CAAM 210) and linear algebra (CAAM 335), along with a course in either partial differential equations (CAAM 336) or optimization/operations research (CAAM 378). Students then will select three more courses that could, for example, focus on computational science and engineering, differential equations, or optimization; see the samples below. We anticipate that this program of study will particularly appeal to students majoring in engineering, natural sciences, and economics.

More specifically: to obtain a CAAM minor, students must complete at least 18 credit hours in the CAAM department, including:

  Course # Course Title
(1) CAAM 210 Introduction to Engineering Computation
(2) CAAM 335 Matrix Analysis
(3) CAAM 336 or
CAAM 378
Differential Equations in Science and Engineering
Introduction to Operations Research and Optimization
(4) Three additional 3-credit CAAM classes, at least two of which must be at the 400 level or above.

Several sample programs of study follow below. These are only suggestions; students are encouraged to consult with a CAAM undergraduate advisor to best tailor a program that meets their interests.

Computational Science and Engineering
Course # Course Title
CAAM 210 Introduction to Engineering Computation
CAAM 335 Matrix Analysis
CAAM 336 Differential Equations in Science and Engineering
CAAM 453 Numerical Analysis I
CAAM 519 Computational Science I
CAAM 520 Computational Science II
Differential Equations
Course # Course Title
CAAM 210 Introduction to Engineering Computation
CAAM 335 Matrix Analysis
CAAM 336 Differential Equations in Science and Engineering
CAAM 453 Numerical Analysis I
CAAM 415 Theoretical Neuroscience
or CAAM 423 Partial Differential Equations I
CAAM 536 Numerical Methods for Partial Differential Equations
Optimization
Course # Course Title
CAAM 210 Introduction to Engineering Computation
CAAM 335 Matrix Analysis
CAAM 378 Introduction to Operations Research and Optimization
CAAM 471 Introduction to Linear and Integer Programming
CAAM 570 Graph Theory
CAAM 574 Combinatorial Optimization

CAAM Minor information in PDF.

Department of Computational and Applied Mathematics
6100 Main MS-134   Houston, TX 77005   713.348.4805

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