Courses Programs - Thayer School of Engineering - Dartmouth ...
Courses Programs - Thayer School of Engineering - Dartmouth ...
Courses Programs - Thayer School of Engineering - Dartmouth ...
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graduate courses<br />
90<br />
Graduate Course Descriptions<br />
ENGS 91 Numerical Methods in Computation<br />
(Identical to MATH 26 and COSC 26)<br />
Offered: 10F, 11F: 12<br />
A study and analysis <strong>of</strong> important numerical and computational methods for solving<br />
engineering and scientific problems. The course will include methods for solving linear<br />
and nonlinear equations, doing polynomial interpolation, evaluating integrals,<br />
solving ordinary differential equations, and determining eigenvalues and eigenvectors<br />
<strong>of</strong> matrices. The student will be required to write and run computer programs.<br />
Prerequisite: COSC 5 or ENGS 20; ENGS 22 or MATH 23, or equivalent<br />
Instructor: Shepherd<br />
ENGS 92 Fourier Transforms and Complex Variables<br />
(Identical to PHYS 70)<br />
Offered: 10F, 11F: 2<br />
Survey <strong>of</strong> a number <strong>of</strong> mathematical methods <strong>of</strong> importance in engineering and<br />
physics with particular emphasis on the Fourier transform as a tool for modeling and<br />
analysis. Orthogonal function expansions, Fourier series, discrete and continuous<br />
Fourier transforms, generalized functions and sampling theory, complex functions<br />
and complex integration, Laplace, Z, and Hilbert transforms. Computational Fourier<br />
analysis, applications to linear systems, waves, and signal processing.<br />
Prerequisites: MATH 33 or ENGS 22, and ENGS 23 or equivalent<br />
Instructor: Testorf<br />
ENGS 93 (formerly 103) Statistical Methods in <strong>Engineering</strong><br />
Offered: 11W, 12W: 11 11S, 12S: 12<br />
The application <strong>of</strong> statistical techniques and concepts to maximize the amount<br />
and quality <strong>of</strong> information resulting from experiments. After a brief introductory<br />
summary <strong>of</strong> fundamental concepts in probability and statistics, topics considered will<br />
include probability distributions, sampling distributions, estimation and confidence<br />
intervals for parameters <strong>of</strong> statistical distributions, hypothesis testing, design and<br />
analysis <strong>of</strong> variance for single and multiple-factor experiments, regression analysis,<br />
estimation and confidence intervals for parameters <strong>of</strong> non-statistical models, and<br />
statistical quality control.<br />
Prerequisite: MATH 13 or equivalent<br />
Instructors: Borsuk (winter), Lasky (spring)<br />
ENGS 100 Methods in Applied Mathematics I<br />
(Identical to PHYS 100)<br />
Offered: 10F, 11F: 11<br />
Concepts and methods used in the treatment <strong>of</strong> linear equations with emphasis on<br />
matrix operations, differential equations, and eigenvalue problems will be developed<br />
following a brief review <strong>of</strong> analytic function theory. Topics include the Fourier<br />
integral, finite and infinite dimensional vector spaces, boundary value problems,<br />
eigenfunction expansions, Green’s functions, transform techniques for partial<br />
differential equations, and series solution <strong>of</strong> ordinary differential equations.<br />
Properties and uses <strong>of</strong> orthogonal polynomials and special functions such as the<br />
hypergeometric, Bessel, Legendre, and gamma functions are included. Applications<br />
in engineering and physics are emphasized.<br />
Prerequisite: Either ENGS 92 or MATH 33 or MATH 43 with permission <strong>of</strong> instructor,<br />
or equivalent<br />
Instructor: Caldwell