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Courses Programs - Thayer School of Engineering - Dartmouth ...

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undergraduate courses<br />

70<br />

ENGS 23 Distributed Systems and Fields<br />

Offered: 10F, 11F: 2 11S, 12S: 9L<br />

A study <strong>of</strong> the fundamental properties <strong>of</strong> distributed systems and their description in<br />

terms <strong>of</strong> scalar and vector fields. After a summary <strong>of</strong> vector-field theory, the formulation<br />

<strong>of</strong> conservation laws, source laws, and constitutive equations is discussed.<br />

Energy and force relations are developed and the nature <strong>of</strong> potential fields, wave<br />

fields, and diffusion fields is examined. A survey <strong>of</strong> elementary transport processes is<br />

given. Particular attention is given to the relation between the description <strong>of</strong> systems<br />

in terms <strong>of</strong> discrete and distributed parameters. Applications are chosen primarily<br />

from fluid mechanics, electromagnetic theory, and heat transfer.<br />

Prerequisite: ENGS 22 or equivalent<br />

Instructors: Phan (fall), Trembly (spring) Dist: TAS<br />

ENGS 24 Science <strong>of</strong> Materials<br />

Offered: 11W, 12W: 10, laboratory 11S, 12S: 10, laboratory<br />

An introduction to the structure/property relationships, which govern the mechanical,<br />

the thermal, and the electrical behavior <strong>of</strong> solids (ceramics, metals, and polymers).<br />

Topics include atomic, crystalline, and amorphous structures; X-ray diffraction;<br />

imperfections in crystals; phase diagrams; phase transformations; elastic and plastic<br />

deformation; free electron theory and band theory <strong>of</strong> solids; electrical conduction in<br />

metals and semi-conductors. The laboratory consists <strong>of</strong> an experimental project<br />

selected by the student and approved by the instructor.<br />

Prerequisites: PHYS 14 and CHEM 5<br />

Instructors: Frost (winter), Liu (spring) Dist: TLA<br />

ENGS 25 Introduction to Thermodynamics<br />

Offered: 11S, 12S: 2 11X, 12X: 11<br />

The fundamental concepts and methods <strong>of</strong> thermodynamics are developed around<br />

the first and second laws. The distinctions between heat, work, and energy are<br />

emphasized. Common processes for generating work, heat, or refrigeration or changing<br />

the physical or chemical state <strong>of</strong> materials are analyzed. The use <strong>of</strong> thermodynamic<br />

data and auxiliary functions such as entropy, enthalpy, and free energy are integrated<br />

into the analysis. The numerous problems show how theoretical energy requirements<br />

and the limitations on feasible processes can be estimated.<br />

Prerequisites: MATH 13, PHYS 13, and COSC 5 or ENGS 20<br />

Instructors: Griswold (spring), Ackerman (summer) Dist: TAS<br />

ENGS 26 Control Theory<br />

Offered: 10F, 11F: 9L<br />

The course treats the design <strong>of</strong> analog, lumped parameter systems for the regulation<br />

or control <strong>of</strong> a plant or process to meet specified criteria <strong>of</strong> stability, transient<br />

response, and frequency response. The basic theory <strong>of</strong> control system analysis and<br />

design is considered from a general point <strong>of</strong> view. Mathematical models for electrical,<br />

mechanical, chemical, and thermal systems are developed. Feedback-control system<br />

design procedures are established, using root-locus and frequency response methods.<br />

Prerequisite: ENGS 22<br />

Instructor: Olfati-Saber Dist: TAS<br />

ENGS 27 Discrete and Probabilistic Systems<br />

Offered: 11W, 12W: 2<br />

This course is an introduction to probabilistic methods for modeling, analyzing,<br />

and designing systems. Mathematical topics include the fundamentals <strong>of</strong> probability,<br />

random variables and common probability distributions, basic queueing theory, and<br />

stochastic simulation. Applications, drawn from a variety <strong>of</strong> engineering settings,<br />

may include measurement and noise, information theory and coding, computer<br />

networks, diffusion, fatigue and failure, reliability, statistical mechanics, ecology,<br />

decision making, and robust design.<br />

Prerequisites: MATH 8 and either ENGS 20 or COSC 5; PHYS 13 or CHEM 5 recommended<br />

Instructor: Cybenko Dist: TAS

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