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ENGS: Engineering Sciences courses can be used for credit toward the A.B. degree and to satisfy requirements for the Engineering Sciences major.
ENGG: Engineering courses can be used for credit toward the A.B. degree but do not satisfy requirements for the Engineering Sciences major.
ENGM: Engineering Management courses satisfy requirements for the M.E.M. degree. They do not satisfy requirements for the Engineering Sciences major.
100-199: Courses with engineering prerequisites numbered below 100
200-299: Courses with engineering prerequisites numbered below 200
300-399: Courses with engineering prerequisites numbered below 300
F: Fall
W: Winter
S: Spring
X: Summer
The number or number-letter combination that follows the term abbreviation is explained at Dartmouth College Weekly Schedule Diagram. The x-period is time set aside for instructors to use as needed. For some courses, the x-period is an additional class session.
Course times are indicated for 2 years. Not all courses listed are offered each year.
Any listed course may be cancelled if the enrollment is fewer than 5 students.
(Identical to MATH 26 and COSC 26)
Offered: 09F, 10F: 12
A study and analysis of important numerical and computational methods for solving engineering and scientific problems. The course will include methods for solving linear and nonlinear equations, doing polynomial interpolation, evaluating integrals, solving ordinary differential equations, and determining eigenvalues and eigenvectors of matrices. The student will be required to write and run computer programs.
Prerequisite: COSC 5 or ENGS 20; ENGS 22 or MATH 23; or equivalent
Instructor: Shepherd
(Identical to PHYS 70)
Offered: 09F, 10F:2
Survey of a number of mathematical methods of importance in engineering and physics with particular emphasis on the Fourier transform as a tool for modeling and analysis. Orthogonal function expansions, Fourier series, discrete and continuous Fourier transforms, generalized functions and sampling theory, complex functions and complex integration, Laplace, Z, and Hilbert transforms. Computational Fourier analysis, applications to linear systems, waves, and signal processing.
Prerequisites: MATH 33 or ENGS 22, and ENGS 23 or equivalent
Instructor: Hansen
(Identical to PHYS 100)
Offered: 09F, 10F: 11
Concepts and methods used in the treatment of linear equations with emphasis on matrix operations, differential equations, and eigenvalue problems will be developed following a brief review of analytic function theory. Topics include the Fourier integral, finite and infinite dimensional vector spaces, boundary value problems, eigenfunction expansions, Green's functions, transform techniques for partial differential equations, and series solution of ordinary differential equations. Properties and uses of orthogonal polynomials and special functions such as the hypergeometric, Bessel, Legendre, and gamma functions are included. Applications in engineering and physics are emphasized.
Prerequisite: Either ENGS 92 or MATH 33 or MATH 43 with permission of instructor, or equivalent
Instructor: Lotko
(Effective Fall 2010, number changing to ENGS 93)
Offered: 10W, 11W: 11 10S, 11S: 12
The application of statistical techniques and concepts to maximize the amount and quality of information resulting from experiments. After a brief introductory summary of fundamental concepts in probability and statistics, topics considered will include probability distributions, sampling distributions, estimation and confidence intervals for parameters of statistical distributions, hypothesis testing, design and analysis of variance for single and multiple-factor experiments, regression analysis, estimation and confidence intervals for parameters of non-statistical models, and statistical quality control.
Prerequisite: MATH 13 or equivalent
Instructors: Borsuk (winter), Lasky (spring)
Offered: 10W, 11W: 12
An introduction to various methods of optimization and their uses in modern engineering. Students will learn to formulate and analyze optimization problems and apply optimization techniques in addition to learning the basic mathematical principles on which these techniques are based. Topic coverage includes linear programming, nonlinear programming, dynamic programming, combinatorial optimization and Monte Carlo methods.
Prerequisites: MATH 22 and ENGS 27 or equivalents, or permission of instructor
Instructor: Cybenko
Offered: 10W, 11W: 11
This course concentrates on the numerical solution of partial differential equations commonly encountered in Engineering Sciences. Finite difference and finite element methods are used to solve problems in heat flow, wave propagation, vibrations, fluid mechanics, hydrology, and solid mechanics. The course materials emphasize the systematic generation of numerical methods for elliptic, parabolic, and hyperbolic problems, and the analysis of their stability, accuracy, and convergence properties. Weekly computer exercises will be required to illustrate the concepts discussed in class.
Prerequisites: MATH 23 and ENGS 91 (or MATH 26 or COSC 26) or equivalents
Instructor: Lynch
(Identical to COSC 106)
Offered: 09F: 2
The course examines, in the context of modern computational practice, algorithms for solving linear systems Ax = b and Ax =
x. Matrix decomposition algorithms, matrix inversion, and eigenvector expansions are studied. Algorithms for special matrix classes are featured, including symmetric positive definite matrices, banded matrices, and sparse matrices. Error analysis and complexity analysis of the algorithms are covered. The algorithms are implemented for selected examples chosen from elimination methods (linear systems), least squares (filters), linear programming, incidence matrices (networks and graphs), diagonalization (convolution), sparse matrices (partial differential equations).
Prerequisites: COSC 26, MATH 26, or ENGS 91; students are to be familiar with approximation theory, error analysis, direct and iterative techniques for solving linear systems, and discretization of continuous problems to the level normally encountered in an undergraduate course in numerical analysis.
Instructor: Fleischer
Offered: 10S, 11S: 10
Continuous and discrete time signals and systems. The discrete Fourier Transform and the fast Fourier Transform. Linear filtering of signals and noise. Characterization of random signals using correlation functions and power spectral densities. Problems will be assigned which require the use of the computer.
Prerequisites: ENGS 61 and ENGS 92 or equivalents
Instructor: Hansen
Offered: 10W: 9L
Digital image processing has come into widespread use in many fields including Medicine, industrial process monitoring, military and security applications, as well as satellite observation of the earth. This course will cover many aspects of image processing which many graduate students will find valuable in their research. Topics will include: image sources (e.g. cameras, scanners, medical devices MRI/CT/Ultrasound, synthetic images), computer representation of images and formats (e.g. JPEG, RGB, TIFF, look up tables), operations on images (e.g. denoising, deblurring, geometric transformations, histogram equalization) and image analysis (e.g. segmentation, pattern recognition). In this course we will stretch the conventional notion of images from 2D pixel arrays to include 3D data sets and we will explore how one can process such stacks of voxels to produce useful information. This course will also touch on some advanced topics in image processing which find their applications in medical imaging such as segmentation, co-registration of images from multiple sources using mutual information, stereopsis, and coordinate transformation in 2D and 3D using affine transformation matrices. This course will require the completion of a project selected by the student.
Prerequisites: ENGS 92 and ENGS 103 or equivalents
Instructor: Hartov
Offered: 10S, 11S: 11
This course covers current and emerging information technologies, focusing on their engineering design, performance, and application. General topics, such as distributed component and object architectures, wireless networking, web computing, and information security, will be covered. Specific subjects will include Java, CORBA, JINI public key cryptography, web search engine theory and technology, and communications techniques relevant to wireless networking such as Code Division Multiple Access protocols and cellular technology.
Prerequisites: ENGS 20, ENGS 27, and ENGS 103 or COSC 78; ENGS 103 can be taken concurrently
Instructor: Cybenko
Offered: 10S, 11S: 2A
Design and analysis of networked systems comprised of interacting sensors, robots, dynamic systems, and agents will be considered. Inspired by the cohesive behavior of flocks of birds in nature (with local interactions and lack of a global coordinator or leader), we design self-organizing engineering systems that mimic a sense of coordinated motion and the capability of collaborative information processing similar to flocks of birds or swarms of bees. Examples of "networked systems" include sensor networks, swarms, gene networks, social networks, synchronous networks of oscillators, networks of autonomous vehicles, and mobile ad-hoc wireless networks. The course combines concepts in systems and control theory, complex networks, graph theory, and distributed computing in a unified framework that allows design and analysis of collective behavior of agent-based networked systems. Some special topics are covered in depth, including consensus problems in cooperative groups of agents, small-world networks, scalable information processing in sensor networks, and coordination of peer-to-peer networks of mobile agents and swarms. The students are expected to complete a course project.
Prerequisites: ENGS 26 and MATH 23, or equivalents; familiarity with MATLAB
Instructor: Olfati-Saber
Offered: 09F, 10F: 2A
Parallel computation, especially as applied to large scale problems. The three main topics are: parallel architectures, parallel programming techniques, and case studies from specific scientific fields. A major component of the course is laboratory experience using at least two different types of parallel machines. Case studies will come from applications areas such as seismic processing, fluid mechanics, and molecular dynamics.
Prerequisite: ENGS 91 (or COSC 26, MATH 26, or equivalent)
Instructor: Taylor
(Identical to COSC 107)
Offered: 09F, 10F: 10
The course provides an introduction to the field of computer architecture. The history of the area will be examined, from the first stored program computer to current research issues. Topics covered will include successful and unsuccessful machine designs, cache memory, virtual memory, pipelining, instruction set design, RISC/CISC issues, and hardware/software tradeoffs. Readings will be from the text and an extensive list of papers. Assignments will include homeworks and a substantial project, intended to acquaint students with open questions in computer architecture.
Prerequisites: ENGS 31 and COSC 37; COSC 48, COSC 58, or equivalent recommended
Instructor: Berk
Offered: 10W, 11W: 9L
Properties of electromagnetic fields and waves in free space and in conducting and dielectric media. Reflection and transmission at boundaries. Transmission lines. Waveguides.
Prerequisite: ENGS 23 or PHYS 41
Instructor: Shubitidze
(Identical to PHYS 126)
Offered alternate years: 10W: 10
Elementary physics (classical and quantum) is applied to create models for the behavior of semiconductor devices. The distribution of electron energy, the gap between energy bands, and the mechanisms of current flow are derived. The pn junction and its variations, bipolar junction transistor, junction field effect transistor, and MOSFET devices are studied. Other devices studied are chosen from among opto-electronic and heterojunction devices.
Prerequisites: ENGS 24 and ENGS 32 or equivalents
Instructor: Garmire
(Identical to PHYS 123)
Offered alternate years: 10S: arrange
The physical principles and engineering applications of optics, with an emphasis on optical systems. Geometric optics: ray tracing, first-order analysis, imaging, radiometry. Wave optics: polarization, interference, diffraction, Fourier optics. Sources and detectors. Fiber optic systems.
Prerequisites: ENGS 23 or PHYS 41, and ENGS 92 or equivalent
Instructor: Testorf
(Identical to PHYS 124)
Offered alternate years: 11W: arrange
Light has now taken its place beside electricity as a medium for information technology and for engineering and scientific instrumentation. Applications for light include telecommunications and computers, as well as instrumentation for materials science, and biomedical, mechanical, and chemical engineering. The principles and characteristics of lasers, detectors, lenses, fibers, and modulators will be presented, and their application to specific optical systems introduced. The course will be taught in an interdisciplinary way, with applications chosen from each field of engineering. Students will choose design projects in their field of interest.
Prerequisite: ENGS 23
Instructor: Garmire
Offered: 10S, 10F: 9L
Controlled use of energy is essential in modern society. As advances in power electronics extend the capability for precise and efficient control of electrical energy to more applications, economic and environmental considerations provide compelling reasons to do so. In this class, the principles of power processing using semiconductor switching are introduced through study of pulse-width-modulated dc-dc converters. High-frequency techniques, such as soft-switching, are analyzed. Magnetic circuit modeling serves as the basis for transformer, inductor, and electric machine design. Electromechanical energy conversion is studied in relation to electrostatic and electromagnetic motor and actuator design. Applications to energy efficiency, renewable energy sources, robotics, and micro-electromechanical systems are discussed. Laboratory exercises lead to a project involving switching converters and/or electric machines.
Prerequisites: ENGS 23 and ENGS 32
Instructor: Sullivan
Offered alternate years: 11S: 2A
Design methodologies of very large scale integration (VLSI) analog circuits as practiced in industry will be discussed. Topics considered will include practical design considerations such as size and cost; technology processes; modeling of CMOS, bipolar, and diode devices; advanced circuit simulation techniques; basic building blocks; amplifiers; and analog systems. A design project is also required in which the student will design, analyze, and optimize a small analog or mixed analog/digital integrated circuit. This design and some homework assignments will require the student to perform analog and digital circuit simulations to verify circuit operation and performance. Lectures will be supplemented by guest lecturers from industry.
Prerequisites: ENGS 32, ENGS 63, or permission of instructor
Instructor: Odame
(Can be used by undergraduates for A.B. course count only)
Not offered 2009-2010
The design methodology of very large scale integration (VLSI) circuits as practiced in industry will be discussed. Topics considered will include a review of integrated complementary metal oxide semiconductor (CMOS) device basics, fundamental device configurations in circuits, logic circuit building blocks (inverters, latches, etc.), charge storage and sensing techniques, circuit modeling and analysis techniques, layout rules and their derivation, and circuit design checking tools. A design project is also required in which the student will design, analyze, and optimize a small CMOS circuit. This analysis and some homework assignments will require the student to perform analog circuit simulations to verify digital circuit performance. The project will then be fabricated by the MOSIS service and delivered in the spring term. Final testing and evaluation are then performed. Grades will be withheld until these final steps are completed.
Prerequisites: ENGS 32 and ENGS 63, or permission of instructor
(Can be used by undergraduates for A.B. course count only)
Not offered 2009-2010
The methods, tools, and technology used in the design and synthesis of complex digital systems will be discussed, with emphasis on problems addressed in industry today. The course focus will be on the description, validation, and syntheses of systems slated for implementation as ASICs (application-specific integrated circuits). A major system design is undertaken in which the student will design, analyze, and optimize a macrocell of the CMOS ASIS circuit. This analysis and some homework assignments will require the student to perform circuit simulation, analysis, validation, and synthesis using the industry-standard hardware-description language Verilog as well as other appropriate CAD tools. By completion of the course, the student should have the skills necessary to contribute significantly to a Verilog-based chip design effort in industry or academic research.
Prerequisites: ENGS 32 and ENGS 63, or permission of instructor
(Can be used by undergraduates for A.B. course count only)
Offered: 09F, 11S: 11, laboratory
A very significant part of designing electronic instruments involves selecting the appropriate physical devices to translate quantities to be measured into voltages or currents that can be sensed with electronic circuits. The range of sensors and transducers available will be studied with examples from industry and medical instrumentation. The course will explore in some detail the use of analog to digital (A/D) and digital to analog (D/A) converters and their applications. Students will also learn to use complete A/D-microprocessor-D/A systems since these are part of nearly all instruments now. In this course students will learn to build a complete instrument by combining analog and digital components and using advanced algorithms. We will review the basic concepts from analog electronics and real-time event driven programming one needs to understand in order to construct such instruments and experiment through a series of labs. The course will culminate with group projects to induce the students to go through the design process on a problem of their choice.
Prerequisites: ENGS 31 and ENGS 61, or equivalent
Instructor: Hartov
Offered: 09F, 10F: 9L
A study of the mechanical properties of engineering materials and the influence of these properties on the design process. Topics include: tensorial description of stress and strain; elasticity; plastic yielding under multiaxial loading; flow rules for large plastic strains; microscopic basis for plasticity; viscoelastic deformation of polymers; creep; fatigue; and fracture.
Prerequisites: ENGS 24 and ENGS 33, or equivalent
Instructor: Schulson
Offered: 09F, 10F: 10
This course provides a background in solid state physics and gives students information about modern directions in research and application of solid state science. The course serves as a foundation for more advanced and specialized courses in the engineering of solid state devices and the properties of materials. The main subjects considered are: crystal structure, elastic waves-phonones, Fermi-Dirac and Bose-Einstein statistics, lattice heat capacity and thermal conductivity, electrons in crystals, electron gas heat capacity and thermal conductivity, metals, semiconductors, superconductors, dielectric and magnetic properties, and optical properties. Amorphous solids, recombination, photoconductivity, photoluminescence, injection currents, semiconductor lasers, high temperature superconductors, and elements of semiconductor and superconductor microelectronics are considered as examples.
Prerequisite: ENGS 24 or equivalent
Instructor: Petrenko
Offered: 10W: 10 11W: 9L
This course discusses the thermodynamics and kinetics of phase changes and transport in condensed matter, with the objective of understanding the microstructure of both natural and engineered materials. Topics include phase equilibria, atomic diffusion, interfacial effects, nucleation and growth, solidification of one-component and two-component systems, solubility, precipitation of gases and solids from supersaturated solutions, grain growth, and particle coarsening. Both diffusion-assisted and diffusionless or martensitic transformations are addressed. The emphasis is on fundamentals. Applications span the breadth of engineering, including topics such as polymer transformations, heat treatment of metals, processing of ceramics and semiconductors. Term paper.
Prerequisite: ENGS 24
Instructor: Schulson
Offered alternate years: 11W: 10A
Current papers in the field of nanotechnology will be discussed in the context of the course material. In the second half of the term, students will pick a topic of interest and have either individual or small group meetings to discuss literature and research opportunities in this area. The students will prepare a grant proposal in their area of interest. Not open to students who have taken ENGS 74.
Prerequisite: ENGS 24 or PHYS 19 or CHEM 6 or equivalent
Instructor: Gibson
Offered alternate years: 10W: 2
This course covers the processing aspects of semiconductor and thin film devices. Growth methods, metallization, doping, insulator deposition, patterning, and analysis are covered. There are two major projects associated with the course—an experimental investigation performed in an area related to the student's research or interests, and a written and oral report on an area of thin film technology.
Prerequisite: ENGS 24 or equivalent
Instructors: Gibson, Levey
(Identical to PHYS 128 and CHEM 137)
Offered alternate years: 10S: 2A
This survey course discusses both the physical principles and practical applications of the more common modern methods of materials characterization. It covers techniques of both microstructural analysis (OM, SEM, TEM, electron diffraction, XRD), and microchemical characterization (EDS, XPS, AES, SIMS, NMR, RBS, and Raman spectroscopy), together with various scanning probe microscopy techniques (AFM, STM, EFM, and MFM). Emphasis is placed on the information that can be obtained together with the limitations of each technique. The course has a substantial laboratory component, including a project involving written and oral reports, and requires a term paper.
Prerequisite: ENGS 24 or permission of instructor
Instructor: I. Baker
(Can be used by undergraduates for A.B. course count only)
Not offered 2009-2010
Application of the thermodynamics and kinetics of electrochemical reactions to the understanding of such corrosion phenomena as oxidation, passivity, stress corrosion cracking, and corrosion fatigue. Discussion of methods of corrosion control and prevention including alloy selection, environmental control, anodic and cathodic protection, and protective coatings. Some treatment of the environmental degradation of non-metals and polymers. Applications to current materials degradation problems in marine environments, petrochemical and metallurgical industries, and energy conversion systems.
Prerequisites: ENGS 24 and CHEM 5
Offered: 10W, 11W: 2
The fundamentals of dynamics with emphasis on their application to engineering problems. Newtonian mechanics including kinematics and kinetics of particles and rigid bodies, work, energy, impulse, and momentum. Intermediate topics will include Euler's equations, rigid body dynamics, Lagrange's Equation, energy methods, and the theory of small oscillations.
Prerequisite: ENGS 22
Instructor: Van Citters
Offered: 10W, 11W: 10
Exact and approximate solutions of the equations of elasticity are developed and applied to the study of stress and deformation in structural and mechanical elements. The topics will include energy methods, advanced problems in torsion and bending, stress concentrations, elastic waves and vibrations, and rotating bodies. Although most applications will involve elastic deformation, post-yield behavior of elastic-perfectly plastic bodies will also be studied. The course will also include numerous applications of finite element methods in solid mechanics.
Prerequisite: ENGS 71 or ENGS 76 or equivalent
Instructor: May
Offered: 10S, 11S: 10A
A continuation of ENGS 26, with emphasis on digital control, state-space analysis and design, and optimal control of dynamic systems. Topics include review of classical control theory, discrete-time system theory, discrete modeling of continuous-time systems, transform methods for digital control design, the state-space approach to control system design, optimal control, and effects of quantization and sampling rate on performance of digital control systems. Laboratory exercises reinforce the major concepts; the ability to program a computer in a high-level language is assumed.
Prerequisite: ENGS 26
Instructor: Phan
Offered: 10S, 11S: 2A
An investigation of techniques useful in the mechanical design process. Topics include computer graphics, computer-aided design, computer-aided manufacturing, computer-aided (finite element) analysis, and the influence of manufacturing methods on the design process. Project work will be emphasized. Enrollment is limited to 24 students.
Prerequisite: ENGS 76
Instructor: Diamond
Offered alternate years: 11W: 10A
Development and application of approximate and "exact" analytical and computational methods of analysis to a variety of structural systems, including trusses, two- and three-dimensional frames, plates and/or shells. Modeling of structural systems as one and multi degree of freedom lumped systems permits analysis under a variety of dynamic loads as well as providing an introduction to vibration analysis.
Prerequisite: ENGS 33
Instructor: Phan
Offered alternate years: 10W: 10A
This course provides the fundamentals of system identification theory and its applications to mechanical, electrical, civil, and aerospace systems. Several state-of-the-art identification algorithms in current engineering practice will be studied. The following topics are covered: discrete-time and continuous-time models, state-space and input-output models, Markov parameters, observer Markov parameters, discrete Fourier transform, frequency response functions, singular value decomposition, least-squares parameter estimation, minimal realization theory, observer/Kalman filter identification, closed-loop system identification, nonlinear system identification, recursive system identification, and introduction to adaptive control.
Prerequisites: ENGS 22 and ENGS 26, or equivalent
Instructor: Phan
Offered: 10W, 11W: 3A
The focus of the course is the use of computational fluid dynamics (CFD) to solve real-life engineering problems. The basic conservation equations, theory of turbulence, and different turbulence models are considered. A wide variety of fluid flows, heat transfer, and multiphase flow phenomena are studied. Numerical solution techniques are discussed as well as discretization of the flow geometry, i.e., grid generation. Students are required to complete several CFD projects.
Prerequisite: ENGS 34 or permission of instructor
Instructor: Cheng
Offered alternate years: 11S: arrange
Applications of fluid mechanics to natural flows of water and air in environmentally relevant systems. The course begins with a review of fundamental fluid physics with emphasis on mass, momentum, and energy conservation. These concepts are then utilized to study processes that naturally occur in air and water, such as boundary layers, waves, instabilities, turbulence, mixing, convection, plumes, and stratification. The knowledge of these processes is then sequentially applied to the following environmental fluid systems: rivers and streams, wetlands, lakes and reservoirs, estuaries, the coastal ocean, smokestack plumes, urban airsheds, the lower atmospheric boundary layer, and the troposphere. Interactions between air and water systems are also studied in context, e.g., sea breeze in the context of the lower atmospheric boundary layer.
Prerequisites: ENGS 34 and ENGS 37, or equivalent
Instructor: Cushman-Roisin
(Identical to PHYS 115)
Offered alternate years: 11W: arrange
The fluid description of plasmas and electrically conducting fluids including magnetohydrodynamics and two-fluid fluid theory, with applications to laboratory and space plasmas, including magnetostatics, stationary flows, waves, instabilities, and shocks.
Prerequisites: PHYS 68 or equivalent, or permission of the instructor
Instructor: Staff
(Identical to PHYS 118)
Offered alternate years: 11S: arrange
Theory and computational techniques used in contemporary plasma physics, especially nonlinear plasma dynamics, including fluid, particle and hybrid simulation approaches as well as linear dispersion codes and data analysis. This is a "hands-on" numerical course; students run plasma simulation codes and do a significant amount of new programming (using MATLAB).
Prerequisites: PHYS 68 or equivalent; ENGS 91 or equivalent recommended, or permission of the instructor
Instructor: Staff
Not offered 2009-2010
The concepts of work, heat and thermodynamic properties are reviewed. Special consideration is given to derivation of entropy through information theory and statistical mechanics. Chemical and phase equilibria are studied and applied to industrial processes. Many thermodynamic processes are analyzed; the concept of exergy is used to evaluate their performance and identify ways to improve their efficiency.
Prerequisite: ENGS 25
Offered: 10S, 11S: 3A
Fundamentals of convection, conduction, radiation, mass, and momentum transport. Basic conservation laws and rate equations in laminar and turbulent flows. Exact solutions. Approximate solutions using boundary layer or integral techniques. Empirical methods. Analysis of engineering systems.
Prerequisite: ENGS 34
Instructor: Vlahovska
Offered: 10W, 11W: 11
An in-depth exposure to the design of processes featuring chemical and/or biochemical transformations. Topics will feature integration of unit operations, simulation of system performance, sensitivity analysis, and system-level optimization. Process economics and investment return will be emphasized, with extensive use of the computer for simulation and analysis.
Prerequisite: ENGS 36
Instructor: Laser
Offered alternate years: 10W: 12
The use of reaction kinetics, catalyst formulation, and reactor configuration and control to achieve desired chemical transformations. The concepts and methods of analysis are of general applicability. Applications include combustion, fermentations, electrochemistry, and petrochemical reactions.
Prerequisite: ENGS 36
Instructor: Griswold
Offered: 09F, 10F: 9L
A graduate section of ENGS 35 involving a project and extra class meetings. Not open to students who have taken ENGS 35.
Prerequisites: MATH 3, CHEM 3 or CHEM 5, BIOL 12 or BIOL 13, and permission of instructor
Instructor: Gerngross
Offered: 10S, 11S: 11
A consideration of practical and theoretical aspects of modifying metabolic pathways to produce products of interest. After reviewing basic principles of metabolism and the scope of the metabolic engineering field, case studies of metabolic engineering will be examined, including detailed consideration at a genetic level. Thereafter, techniques and applications of metabolic modeling will be considered, including structured modeling and metabolic control theory.
Prerequisites: ENGS 160 and a non-introductory course in biochemistry or molecular biology, or permission of instructor
Instructors: Gerngross
Offered alternate years: 11S: arrange
This is a laboratory-based course designed to provide hands-on experience with modern biotechnological research, high throughput screening, and production tools. The course provides familiarity with processes commonly used in the biotechnology industry. Examples include fermentation systems controlled by programmable logic controllers, down-stream processing equipment such as continuous centrifugation, cross-flow ultra-filtration, and fluidized bed chromatography. The laboratory also demonstrates the substitution of routine molecular biological and biochemical operations by automated liquid handlers and laboratory robots. Students design and develop a bioassay, which is then implemented by laboratory robots for which they have to write their own implementation program. The course has a significant laboratory component. Enrollment is limited to 12 students.
Prerequisite: One from ENGS 35, ENGS 160, and ENGS 161, OR one from BIOL 61, BIOL 64, and BIOL 65
Instructor: Griswold
Offered: 10W, 11W: 10
During the previous two and half decades, breakthroughs in molecular biology and biotechnology have opened the door to an entirely new discipline focused on nanoscale engineering of highly functional biomolecules. Only in the last 15 years have technically advanced approaches to protein engineering begun to be developed and leveraged in solving a wide variety of practical, real-world problems. Looking to the near future, our ability to create novel biomolecular structures with enhanced functional properties will be a powerful means of addressing key technical challenges relating to a diversity of contemporary issues including but not limited to i) environmentally friendly and cost efficient production of chemicals, consumer goods and fuels, ii) waste remediation, and iii) development of therapies and diagnostics for debilitating human diseases. A brief review of important biochemical principles will touch on concepts such as the central dogma of biology, atomic scale forces at work in protein structures, and the relationship between protein structure and function. Strategies for protein structure modification will then be surveyed, with a particular emphasis on genetic approaches. These discussions will culminate with a detailed examination of evolutionary engineering algorithms that represent state of the art technologies for combinatorial protein design. The development of proteins with practical utility will be highlighted throughout the term using examples and case studies taken from the current literature.
Prerequisites: One from ENGS 35 or ENGS 160 AND one from CHEM 5 or CHEM 10 (Note: one from CHEM 51 or CHEM 57 is preferred). Alternatively, students may have one from CHEM 41 or Biochem 101. Equivalent courses accepted with instructor's permission.
Instructor: Griswold
Offered alternate years: 11W: 2A
A graduate section of ENGS 64 involving a project and additional class meetings. Not open to students who have taken ENGS 64.
Prerequisites: ENGS 30 or equivalent, ENGS 33 or ENGS 34 or equivalent
Instructor: Vlahovska
Offered alternate years: 11S: arrange
Consideration of material problems is perhaps one of the most important aspects of prosthetic implant design. The effects of the implant material on the biological system as well as the effect of the biological environment on the implant must be considered. In this regard, biomaterial problems and the bioelectrical control systems regulating tissue responses to cardiovascular and orthopedic implants will be discussed. Examples of prosthetic devices currently being used and new developments of materials appropriate for future use in implantation will be taken from the literature.
Prerequisite: ENGS 24 or equivalent
Instructor: Van Citters
(Can be used by undergraduates for A.B. course count only)
Offered: 10W: 10A 11S: 2A
This course is an introduction to physiological principles and concepts necessary for understanding basic regulatory phenomena and the pathophysiology of disease in living organisms. An analytical approach will be emphasized and terminology essential for understanding and describing these processes will be developed. The course will include some aspects of cellular biology, excitable tissue phenomena, cardiopulmonary and renal physiology, and neuroendocrine regulation of some of these processes.
Prerequisite: Permission of instructor
Instructor: Diamond
Offered alternate years: 10F: 10
A comprehensive introduction to all major aspects of standard medical imaging systems used today. Topics include radiation, dosimetry, x-ray imaging, computed tomography, nuclear medicine, MRI, ultrasound, and imaging applications in therapy. The fundamental mathematics underlying each imaging modality is reviewed and an engineering picture of the hardware needed to implement each system is examined. The course will incorporate a journal club review of research papers, term tests, and a term project to be completed on an imaging system.
Prerequisite: ENGS 23 or equivalent
Instructor: Pogue
Offered alternate years: 09F: 10
This course will provide a general overview of radiation transport mechanisms in matter, beginning with a derivation of the Boltzmann radiation transport equation, and examining the various approximations possible. Focus on the single-energy Diffusion approximation will be examined in detail, as it relates to neutron diffusion nuclear reactors and optical photon diffusion. Review of photon diffusion in tissue will be discussed as it relates to tissue spectroscopy and imaging. Fundamental research papers in this field will be presented and reviewed, covering aspects of multiple scattering, Mie scattering, and scattering phase functions. Stochastic model-based approaches will be covered as well, such as the Monte Carlo model. Numerical approaches to solving these models will be introduced.
Prerequisite: ENGS 23 or equivalent
Instructor: Pogue
Offered: 10S, 11S: 2
By studying the flow of materials and energy through industrial systems, industrial ecology identifies economic ways to lessen negative environmental impacts, chiefly by reducing pollution at the source, minimizing energy consumption, designing for the environment, and promoting sustainability. The objective of this course is to examine to what extent environmental concerns have already affected specific industries, and where additional progress can be made. With the emphasis on technology as a source of both problems and solutions, a broad spectrum of industrial activities is reviewed ranging from low-design high-volume to high-design low-volume products.
Student activities include a critical review of current literature, participation in class discussion, and a term project in design for the environment.
Prerequisites: ENGS 21 and ENGS 37
Instructor: Cushman-Roisin
Offered: 10S, 11S: 2A
The current assessment by the Intergovernmental Panel on Climate Change (IPCC) of the World Meteorological Organization (WMO) and the United Nations Environment Programme (UNEP) will be examined. The course will begin by scrutinizing the scientific basis of the assessment. Subsequently, regional and global impact projections will be examined. The technological options will be examined with respect to research and capitalization priorities, both corporate and governmental. Finally, the possibilities for novel governance structures based on a scientific understanding will be examined. Weekly critical presentations of the source material will be required. The course will culminate in the preparation, presentation, and refinement of a term paper of the student's choosing.
Prerequisite: Junior or senior standing in the Science Division, graduate standing in engineering or science, or permission of instructor
Instructor: Lynch
Offered: 09F, 11W: 10A
Industrial societies are presently powered primarily by fossil fuels. Continuing to supply energy at the rate it is now used will be problematic, regardless of the mix of fossil fuels and alternatives that is used; yet western consumption patterns spreading through the rest of the world and other trends portend large increases in demand for energy services. Increased energy efficiency will be essential for meeting these challenges, both to reduce fossil-fuel consumption and to make significant reliance on alternatives feasible. Technical issues in efficient systems for energy utilization will be surveyed across major uses, with in-depth technical analysis of critical factors determining possible, practical, and economical efficiency improvements in both present technology and potential future developments. Areas addressed include lighting, motors and drive systems, heating, ventilation and air conditioning, transportation, appliances and electronics.
Prerequisites: ENGS 22 and at least two of the following: ENGS 25, ENGS 32, ENGS 34, ENGS 44, ENGS 52, ENGS 76, ENGS 104, ENGS 125, ENGS 150, ENGS 155, ENGS 156, and ENGM 184, or permission. ENGS 25 is strongly recommended.
Instructor: Sullivan
Not offered 2009-2010
Design for Manufacturing (DFM) is an analysis-supported design approach in which analytical models incorporating manufacturing input are used at the earliest stages of design in order to influence part and product design towards those design choices that can be produced more easily and more economically. DFM analysis addresses any aspect of the developing design of parts in which the issues of manufacturing are involved. The designed object is considered explicitly through its geometries and material selection and their impact on manufacturing costs. This course is intended primarily for students interested in mechanical, industrial, and manufacturing engineering as well as for engineering design practitioners in industry. The course will emphasize those processes most often used in the mass production of consumer products and will include such processes as assembly, injection molding, die casting, stamping and forging.
Prerequisite: ENGS 73 or permission of instructor
Offered: 09F: Tues, Thurs 12:50-2:50pm
Making decisions under conditions of risk and uncertainty is a fundamental part of every engineer and manager's job, whether the situation involves product design, investment choice, regulatory compliance, or human health and safety. This course will provide students with both qualitative and quantitative tools for structuring problems, describing uncertainty, assessing risks, and reaching decisions, using a variety of case studies that are not always amenable to standard statistical analysis. Bayesian methods will be introduced, emphasizing the natural connections between probability, utility, and decision-making.
Prerequisites: ENGS 27, ENGS 103, or comparable background in probabilistic reasoning
Instructor: Borsuk
(Cannot be used to satisfy any A.B. degree requirements)
Offered: 09F, 10F: Mon, Wed 2:00-3:50pm
This project course is grounded in technology-focused areas and provides an opportunity for teams of students to conduct a thorough analysis of prevalent and emerging technologies in fields of critical interest such as health, energy, the environment, and other complex systems and then to recommend and justify actions for its further development. Technology in an assigned application field will be analyzed by each student team, along with emerging, complementary and competing technologies, leading to 1) findings of those impediments and incentives for its further development, 2) identification and quantification of the societal and/or commercial benefits achievable from further development, and 3) recommendations for action in research funding, product and market development, public policy, and the like, that would most rapidly achieve the identified societal and/or commercial benefits.
Prerequisite: None
Instructor: Graves
(Cannot be used to satisfy any A.B. degree requirements)
Offered: 10W: Tues 2:50-4:30pm, Thurs 4:00-5:50pm
Financial Accounting covers the accumulation, analysis, and reporting of a company's financial data for the purposes of creditors, investors, and other external decision-makers. The first part of this course develops the basic concepts underlying corporate financial statements and introduces tools for analyzing profitability and risk. Management Accounting emphasizes the use of accounting data for internal decision-makers. This part of the course shows how accounting information can be used effectively in planning, decision-making, and control.
Prerequisite: None
Instructor: Sansing, Stocken
(Cannot be used to satisfy any A.B. degree requirements)
Offered: 10S, 11S: Mon, Tues 10:15-11:45am
Issues of financial management important to the engineering manager. A review of the concepts of engineering economy, including time value of money, net present value, and choosing among investment alternatives. Discussion of global and national economic factors impacting the modern technology-driven corporation—such as exchange rates, competitiveness, cost of capital, money markets, and tax policies. Examination of the role of the financial organization in a corporation and its relationship to the engineering manager. Evaluating a balance sheet and an income statement; understanding the effect of mergers, acquisitions, leveraged buyouts, and venture capital on R&D organizations. Discussion of the financial aspects of engineering project management, including planning and budgeting, project costing, and cost vs. schedule vs. performance trade-offs. One or several additional topics, such as defense industry economics, impacts of deregulation, intellectual property law, and economic forecasting, will be selected for discussion.
Prerequisite: ENGM 179 or permission of instructor
Instructor: Lewellen
(Cannot be used to satisfy any A.B. degree requirements)
Offered: 09F, 10F: Wed, Thurs 8:30-10:00am
This course introduces the role of marketing within business firms. Case studies drawn from a wide variety of consumer and industrial products and services provide an opportunity for students to apply concepts and techniques developed in assigned readings. Specific topics include customer analysis, market research, market segmentation, distribution channel policy, product policy and strategy, pricing, advertising, and sales force management. The course stresses oral and written expression and makes use of several computer exercises, spreadsheet analysis, and management simulations.
Prerequisite: Permission of instructor
Instructor: Luan
(Cannot be used to satisfy any A.B. degree requirements)
Offered: 10S, 11S: Mon, Tues 12:15-1:45pm
This course provides an introduction to the concepts and analytic methods that are useful in understanding the management of a firm's operations. We will introduce job shops, assembly lines, and continuous processes. Other topics include operations strategy, aggregate planning, production scheduling, inventory control, and new manufacturing technologies and operating practices.
Prerequisite: ENGS 103
Instructor: Hall
(Cannot be used to satisfy any A.B. degree requirements)
Offered: 09F: Tues, Thurs 10:10-12:00pm
An introduction to various methods of optimization and their use in problem solving. Students will learn to formulate and analyze optimization problems and apply optimization techniques in addition to learning the basic mathematical principles on which these techniques are based. Topic coverage includes linear, nonlinear, and dynamic programming, and combinatorial optimization.
Prerequisite: None
Instructor: K. Baker
(Cannot be used to satisfy any A.B. degree requirements)
Offered: 10S: Tues, Thurs 4:30-6:30pm
The course will consist of four main topics: 1) technical estimating, 2) design of experiments, 3) design for manufacturability, 4) statistical process control.
We will review technical estimating (TE), a vital skill in today's rapidly changing industry. Illustrative and interesting examples will be used to hone TE techniques.
Design of experiments (DOE) will be covered in detail using Montgomery's Design and Analysis of Experiments. Analysis of variance, model adequacy checking, factorial designs, blocking and confounding, regression models, nesting, and fractional factorial and Taguchi designs will be taught.
Design for manufacturability (DFM) will be covered so that by the end of the course the student will know how to establish a successful DFM program to optimize and continuously improve designs and manufacturing processes. Cost estimating related to manufacturing processes will also be presented, followed by an overview of failure analysis techniques.
The course will also introduce the basics of statistical process control, including the Shewhart Rules.
Prerequisite: ENGS 103
Instructor: Lasky
(Cannot be used to satisfy any A.B. degree requirements)
Offered: 10W: Wed, Thurs 1:15-2:45pm
Project management focuses on planning and organizing as well as directing and controlling resources for a relatively short-term project effort which is established to meet specific goals and objectives. Project management is simultaneously behavioral, and quantitative, and systematic. The course covers topics in planning, scheduling and controlling projects such as in new product development, technology installation, and construction. This course is aimed at both business and engineering students and combines reading and case-oriented activities.
Prerequisite: ENGS 104 or equivalent
Instructor: Graves
(Cannot be used to satisfy any A.B. degree requirements)
Offered: 09F, 10F: Wed, Fri 8:30-10:00am
Taking a good idea and turning it into a successful product and a profitable business poses a number of technical, managerial, and financial challenges. The solutions to many of the challenges of entrepreneurship in general, and to those of starting up a technologically based business in particular, are provided by the law. A grounding in the law of intellectual property, contractual transactions, business structures, debt and equity finance, and securities regulation, both in the U.S. and in an international context, will help inventors and entrepreneurs to manage this part of the process intelligently and with a high likelihood of success.
Prerequisite: None
Instructor: Goodenough
(Cannot be used to satisfy any A.B. degree requirements)
Offered: 09F: Mon, Tues 1:15-2:45pm
This course consists of two mini-courses:
Technological innovation is driving change in our society. Its influence is being felt in our work environment, our educational institutions, our homes, and our healthcare system—essentially in all spheres of our economic and social setup. Never before in history has change been so ubiquitous and rapid. It therefore becomes essential to understand the very pulse of this change and to be able to comprehend in some manner the nature of this change. The technological changes taking place in our society can be classified into three major categories: (1) Information Technology enabled trends, (2) Life Sciences trends and (3) Materials/Nanotechnology based trends. Each of these is at a different maturation phase and is expected to impact society within different time frames. The life sciences and the application of biotechnology are starting to significantly impact modern medicine, the chemical industry and agriculture—the societal and economic changes catalyzed by this transition are going to be felt in the near future. Lectures will examine these relationships and subject them to a critical analysis as well as identify important trends and opportunities in the life science/biotechnology realm.
Prerequisite: Graduate standing in engineering or business administration
Instructor: Gerngross
This module of the course is an overview of existing medical devices and discusses methods for development, evaluation, and approval of new medical devices. The course will cover both diagnostic and interventional devices, and cover clinical and pre-clinical testing issues, as well as a discussion of FDA approval processes, funding startups, and cost effectiveness analysis. The course will involve several case studies as examples. For projects, students will work in teams to analyze needs in the medical setting and come up with a plan for a new device, and analyze how best to develop it with a new startup. Two classes per week, 5 weeks total.
Prerequisite: Graduate standing in engineering or business administration
Instructor: Paulsen
(Effective Fall 2010, number changing to ENGS 89 and the course will not be available for graduate credit)
Offered: 09F, 10F: 2A
This course explores elements of the engineering design process as a means of enhancing student ability in problem definition, development and evaluation of creative alternatives, application and methods of technical and economic analysis, identification and application of ethical and legal constraints, and effective presentation of technical information. Design projects are developed from specifications submitted by industry and other organizations and are pursued over the course of two quarters as a team project (ENGS 190/290). Written and oral proposals and progress reports are required for the design project during the term. A project advisor is required for each design team to serve as a consultant to the team's efforts. ENGS 190 is the first unit of a two-term course sequence (ENGS 190/290) that must be taken consecutively.
For M.S. students, ENGS 190/290 can count as one core course and one elective.
Prerequisite: Prior to enrollment in ENGS 190, at least six engineering sciences courses must be completed. These include ENGS 21 plus five additional courses numbered 22 to 76.
Instructor: Van Citters
(Cannot be used to satisfy any A.B degree requirements. May not be used for term-life research or design projects.)
Offered: all terms: arrange
An independent study course in lieu of, or supplementary to, a 100-level course, as arranged with a faculty member. To be used in satisfaction of advanced degree requirements. No more than one such course should be used in satisfaction of requirements for any degree. Requests for approval, accompanied by the full supporting material package, must be submitted to the Thayer School graduate program director before midday on Friday of the first week of classes in the term the course is to be offered. Later proposals will be automatically rejected; submission in the term prior to the offering is encouraged. Proposed courses should include full syllabus, resources and student evaluation methods.
(Cannot be used to satisfy any A.B, B.E., M.E.M., or M.S. degree requirements)
Offered: 09F, 10F: arrange
Presentation and discussion of timely issues in scientific and technological development and its relation to society. Topics vary from year to year. Examples include transition from scientific developments to technological developments and impacts of technological development on various aspects of society; ethics, social issues, environmental concerns, and government policy; entrepreneurship, marketing, labor markets, quality, international competition, and legal liability. A written critical essay and its oral presentation to the seminar group are required, as well as class discussion. The seminar group meets twice weekly—once for a school-wide seminar, usually presented by an outside expert. The group probes and discusses the seminar topic in more detail during its second meeting.
Prerequisite: Ph.D. student standing
Instructor: Gibson
(Cannot be used to satisfy any A.B, B.E., M.E.M., or M.S. degree requirements)
Offered: 09F, 10W, 10S: arrange
Weekly seminar on timely topics in science and technology. The fall offering is devoted to issues involving scientific and technological development and its relation to society. Academic residence requirement for Ph.D. students is established by enrollment in ENGG 196 for a minimum of six terms; one of the six terms will be covered by the required enrollment in ENGG 195.
Prerequisite: Ph.D. student standing
Instructor: Gibson
(Cannot be used to satisfy any A.B, B.E., M.E.M., or M.S. degree requirements)
Offered: 10W, 11W: Tues 2:00-5:00pm
A sequence of workshops on the preparation for professional life after the Ph.D. program, culminating in the completion of a curriculum vitae or resume, outline of possible jobs, and a competitive grant proposal. A major goal is for the student to design and write a grant for a technology startup program or for an academic research grant. Successful research and SBIR proposals are outlined and the processes for evaluating them are offered by research principal investigators, grant administration officials, and corporate representatives. Both academic CVs and industry resumes can be developed. Workshops include job search guides, management skills and research team management. Submitted student proposals and CVs are critiqued for improvement.
Prerequisite: Ph.D. student standing
Instructor: Gibson
(Cannot be used to satisfy any A.B, B.E., M.E.M., or M.S. degree requirements)
Offered: 10W, 11W: arrange
Annual meeting of all doctoral candidates in residence with each candidate presenting in generally understandable terms his or her research progress over the past year.
Prerequisite: Ph.D. student standing
Instructor: Gibson
(Cannot be used to satisfy any A.B. degree requirements)
Offered: all terms: arrange
A special topics lecture course in lieu of, or supplementary to, a 100-level course, as arranged by a faculty member to be used in satisfaction of advanced degree requirements. The course must be approved by the graduate programs committee in advance of the term in which it is offered. No more than two such courses should be used in satisfaction of requirements for any degree. To permit action prior to the term's end, requests for approval must be submitted to the graduate director no later than the eighth week of the term preceding the term in which the course is to be offered. Proposed courses should include full syllabus, resources, and student evaluation methods. Courses that have a 100-level prerequisite should use ENGG 299.
Offered: 11S: arrange
Field-programmable gate arrays (FPGAs) have become a major "fabric" for implementing digital system designs, rivaling application-specific integrated circuits and microprocessors/microcontrollers for many applications requiring high-speed special-purpose architectures, such as digital signal processing. Hardware description languages (HDLs) have become the dominant method for digital system design. This course will advance the student's ability to do HDL-based design and use computer-aided tools to create effective implementations on FPGAs.
Prerequisites: ENGS 31, and one of COSC 37, ENGS 62, ENGS 110 (may be taken concurrently), or ENGG 129
Instructor: Hansen
ENGG 199: Advanced Digital Design home page
Offered: 10W: 3B
This is graduate level course in fluid physics. The course focuses on microscale flows and complex fluids, which are particularly relevant to biology and modern fluid engineering applications such as the lab-on-a-chip.
The course will survey Stokes flow, lubrication theory, free-surface flows, and hydrodynamic stability. Biological problems include blood rheology and microcirculation, bacteria swimming and bioconvection, synovial fluid and lubrication. The emphasis will be on basic physics, scaling and nondimensionalization, and approximations that can be used to obtain analytical solutions.
Prerequisites: ENGS 34 or equivalent
Instructor: Vlahovska
(Identical to PHYS 110)
Offered: 10W: 2
Continuation of ENGS 100 with emphasis on variational calculus, integral equations, and asymptotic and perturbation methods for integrals and differential equations. Selected topics include functional differentiation, Hamilton's principles, Rayleigh-Ritz method, Fredholm and Volterra equations, integral in transforms, Schmidt-Hilbert theory, asymptotic series, methods of steepest descent and stationary phase, boundary layer theory, WKB methods, and multiple-scale theory.
Prerequisite: ENGS 100 or equivalent
Instructor: Lotko
Offered alternate years: 10W: 2A
The course provides basic tools for modeling, design, and stability analysis of nonlinear systems that arise in a wide range of engineering and scientific applications including robotics, autonomous vehicles, mechanical and aerospace systems, nonlinear oscillators, chaotic systems, population genetics, learning systems, and networked complex systems. There are fundamental differences between the behavior of linear and nonlinear systems. Lyapunov functions are powerful tools in dealing with design and stability analysis of nonlinear systems. After addressing the basic differences between linear and nonlinear systems, the course will primarily focus on normal forms of nonlinear systems and Lyapunov-based control design methods for a variety of applications with an emphasis on robotics, mechanical control systems, and particle systems in potential fields.
Prerequisites: ENGS 100 and ENGS 145 or equivalents and familiarity with MATLAB
Instructor: Olfati-Saber
Offered alternate years: 11S: 11
Boundary element and spectral methods are examined within the numerical analysis framework established in ENGS 105. The boundary element method is introduced in the context of linear elliptic problems arising in heat and mass transfer, solid mechanics, and electricity and magnetism. Coupling with domain integral methods, e.g., finite elements, is achieved through the natural boundary conditions. Extensions to nonlinear and time-dependent problems are explored. Spectral methods are introduced and their distinctive properties explored in the context of orthogonal bases for linear, time-invariant problems. Extension to nonlinear problems is discussed in the context of fluid mechanics applications. Harmonic decomposition of the time-domain is examined for nonlinear Helmholtz-type problems associated with E&M and physical oceanography.
Prerequisite: ENGS 105
Instructor: Paulsen
(Can be used by undergraduates for A.B. course count only)
Offered alternate years: 10S: arrange
An advanced treatment of digital signal processing for the analysis of time series. A study is made of parametric and nonparametric methods for spectral analysis. The course includes a review of probability theory, statistical inference, and the discrete Fourier Transform. Techniques are presented for the digital processing of random signals for the estimation of power spectra and coherency. Examples are taken from linear system theory and remote sensing using radar. Laboratory exercises will be assigned requiring the use of the computer.
Prerequisite: ENGS 110
Instructor: Hansen
(Can be used by undergraduates for A.B. course count only)
Not offered 2009-2010
An advanced treatment of communications system engineering with an emphasis on digital signal transmission. The course includes a review of probability theory, random processes, modulation, and signal detection. Consideration will be given to channel modeling, the design of optimum receivers, and the use of coding.
Prerequisite: ENGS 110
Not offered 2009-2010
Continuation of ENGS 120, with emphasis on fundamentals of propagation and radiation of electromagnetic waves and their interaction with material boundaries. Selected topics include propagation in homogeneous and inhomogeneous media, including anisotropic media; reflection, transmission, guidance and resonance; radiation fields and antennas; diffraction theory; and scattering.
Prerequisites: ENGS 100 and ENGS 120, or permission of instructor
(Can be used by undergraduates for A.B. course count only)
Not offered 2009-2010
A study of the fracture and fatigue behavior of a wide range of engineering materials (metals, ceramics, polymers, biological materials, and composites). Topics include work of fracture, fracture mechanics (linear elastic, elastic-plastic and plastic), fracture toughness measurements, crack stability, slow crack growth, environmentally assisted cracking, fatigue phenomenology, the Paris Law and derivatives, crack closure, residual stress effects, and random loading effects. These topics will be presented in the context of designing to avoid fracture and fatigue.
Prerequisite: ENGS 130 or permission of instructor
(Can be used by undergraduates for A.B. course count only)
Not offered 2009-2010
A study of kinematics, dynamics, and vibrations of mechanical components. Topics will include kinematic analysis and synthesis of mechanisms, with applications to linkages, cams, gears, etc.; dynamics of reciprocating and rotating machinery; and mechanical vibrations. Computer-aided design and analysis of kinematic and kinetic models.
Prerequisite: ENGS 140
Not offered 2009-2010
An introduction to the statistical theory of turbulence for students interested in research in turbulence or geophysical fluid dynamics. Topics to be covered include the statistical properties of turbulence; kinematics of homogeneous turbulence, phenomenological theories of turbulence; waves, instabilities, chaos and the transition to turbulence; analytic theories and the closure problem; diffusion of passive scalars; and convective transport.
Prerequisite: ENGS 150 or equivalent
Offered alternate years: 11S: arrange
A consideration of utilizing plant biomass to produce energy (fuels and electrical power) as well as complementary coproducts. Technical aspects will be considered with respect to biomass production and logistics, pretreatment, hydrolysis, fermentation, product recovery, and thermochemical processing. Design of integrated processes will also be addressed. Evaluation of biomass energy systems will be considered from economic, environmental, and resource perspectives.
Prerequisites: ENGS 157, ENGS 161, and permission of instructor
Instructors: Lynd, Laser
(Effective Winter 2011, number changing to ENGS 90 and the course will not be available for graduate credit)
Offered: 10W, 11W: arrange
This course is the second unit in the two-course team engineering design sequence ENGS 190/290. The objective of the course is to develop the students' professional abilities by providing a realistic project experience in engineering analysis, design, and development. Students continue with the design teams formed in ENGS 190 to complete their projects. Design teams are responsible for all aspects of their respective projects: science, innovation, analysis, experimentation, economic decisions and business operations, planning of projects, patents, and relationships with clients. Mid-term and final oral presentations and written reports are required. A faculty member is assigned to each design team to serve as consultant to the team's efforts.
Prerequisite: ENGS 190
Instructor: J. Collier
(Cannot be used to satisfy any A.B. degree requirements)
Offered: all terms: arrange
A special topics course in lieu of, or supplementary to, a 200-level course, as arranged by a faculty member, to be used in satisfaction of degree requirements. The course must be approved by the graduate programs committee in advance of the term in which it is offered. No more than one such course may be used in satisfaction of requirements for any degree. Requests for approval must be submitted to the program director no later than the eighth week of the term preceding the term in which the course is to be offered, to permit action prior to the term's end. Proposed courses should include full syllabus, resources and student evaluation methods. Courses that do not have a 100-level prerequisite should use ENGG 199.
(Cannot be used to satisfy any A.B. degree requirements)
Offered: arrange
Contemporary theory and practice in advanced scientific computation, organized by physical application area. Course comprises two 5-week modules, selected from the following:
Computational Fluid Dynamics: This module covers four basic contemporary issues: (i) the inherent nonlinearity of fluids; (ii) the mixed hyperbolic/elliptic nature of the differential equations governing fluid motion; (iii) the concomitant algorithmic complexity of their numerical treatment; and (iv) the size, i.e., the large number of degrees of freedom found in most realistic problems. Discussion of advection-dominated flows: physical and numerical properties; temporal and spatial discretization issues; method of characteristics, upwinding, Galerkin and Petrov-Galerkin methods; artificial viscosity. Navier-Stokes and shallow water equations in 2- and 3-D: mixed interpolation; primitive equation and higher-order formulation; staggered meshes; boundary conditions on pressure, transport and stress; radiation conditions. Frequency domain solution of hyperbolic problems: nonlinear generation of harmonics; truncation errors in iterative methods.
Prerequisites: ENGS 34 and ENGS 105, or equivalent
Instructor: Staff
Computational Solid Mechanics: This module will deal with the development and application of finite element methods for solid mechanics problems. After a brief treatment of the theory of elasticity, the finite element equations for elastic solids will be developed using variational techniques. Applications in two- and three-dimensional static elasticity will be considered. Techniques will then be developed to analyze the following classes of problems; nonlinear material behavior, especially plasticity; plates and shells; problems involving contact between two bodies; and dynamic analysis of elastic bodies.
Prerequisites: ENGS 33 and ENGS 105, or equivalent
Instructor: Kennedy
Computational Electromagnetics: This module focuses on numerical solutions of the Maxwell equations. Emphasis will be placed on problem formulation and implementation issues. Examples will be selected from a broad spectrum of topics such as electromagnetic scattering, waveguides, microwave circuits and strip-lines, bioelectromagnetics. Development of software to solve representative problems will be required. It is anticipated that the student will be capable of reading and understanding the current computational electromagnetics literature upon completion of this course.
Prerequisites: ENGS 105 and ENGS 120
Instructor: Staff
(Cannot be used to satisfy any A.B. degree requirements)
Offered: arrange
Advanced study in signal processing and system theory. Possible topics include multi-input/multi-output systems, two-dimensional systems (image processing), modeling and identification, optimal filtering, and advanced optics. Readings in current research literature and student presentations.
Prerequisites: Different for each topic; normally include ENGS 123 and ENGG 210 or equivalent, and permission of instructor
Instructor: Hansen
(Cannot be used to satisfy any A.B. degree requirements)
Offered: arrange
Advanced study in any of the following or other topics may be pursued: information theory, coding, noise, random signals, extraction of signals from noise, pattern recognition, and modulation theory. Normally offered in alternate years.
Prerequisites: ENGS 103, ENGS 110, and permission of instructor
Instructor: Cybenko
(Cannot be used to satisfy any A.B. degree requirements)
Offered: arrange
Critical analysis of current literature in an emerging area of digital technology, such as multi-processor architecture, decentralized networks of small computers, bubble memories, ultra-fast arithmetic logic, specialized computers for digital filtering, etc. A term paper will be required.
Prerequisites: ENGS 116 and permission of instructor
Instructor: Cybenko
Offered: F, W, and S: arrange
ENGG 321 provides students in the Ph.D. Program in Innovation with experience in the process of commercializing a new technology. During the fall term, the students act as faculty assistants for ENGS 21, while at the same time using the techniques and methods of ENGS 21 to further advance their own projects. Oral and written presentations for Ph.D. students parallel the syllabus of ENGS 21. Guest lectures are presented by visiting entrepreneurs, venture capitalists, and inventors. At the conclusion of the fall term, ENGG 321 students report, both orally and in writing, on their project and are graded on a Pass/Fail basis. Students with a Pass from the fall term take ENGG 197 in the winter term and move forward with their projects. Each student recruits a team of fellow engineering students, Tuck business students, and/or other Dartmouth students to work with to complete the project. During the spring term, each student develops a full business plan and presents it during progress and final reports to a panel of experts. The panel of experts, which includes faculty from ENGG 197 along with outside professionals, provides each student feedback and a grade for the course.
Prerequisites: ENGM 188; ENGM 180 recommended; a proposal for research of a specific new technology must be developed and approved by the course faculty prior to the fall term. ENGG 197, taken in the winter term, is a co-requisite.
Note: Students in the Ph.D. Program in Innovation normally take this course during the third year of the program when their research is sufficiently advanced to have the prerequisite proposal for new technology. Ph.D. students not admitted to the Innovation program may request to enroll in this class in addition to their required courses. Because of the reduced frequency of meeting, credit is given for only one course, one-half for the fall term and one-half for the spring term.
Instructors: Hutchinson, J. Collier
(Cannot be used to satisfy any A.B. degree requirements)
Offered: arrange
Analysis of transmission structures and circuit elements at microwave frequencies. Microwave network representation. Characterization and sensitivities of transmission structure. Discontinuities. Two-dimensional planar components. Models for microwave semiconductor devices. Microwave networks.
Prerequisites: ENGS 61, ENGS 105, ENGS 120, and permission of instructor
Instructor: Trembly
(Cannot be used to satisfy any A.B. degree requirements)
Offered: arrange
Advanced study may be pursued on topics related to the microscopic aspects of the plastic flow and fracture of solids. The topics extend those introduced in ENGS 130 and ENGS 132 by providing an in-depth examination of the methods of strengthening, brittle and ductile fracture, fatigue, creep, and superplasticity. The emphasis is on the mechanisms underlying the phenomena. Readings in the literature will be assigned, and the student will be required to prepare a detailed term paper.
Prerequisites: ENGS 130, ENGS 132, and permission of instructor
Instructor: Frost
(Cannot be used to satisfy any A.B. degree requirements)
Offered: arrange
Image formation and contrast are discussed for the transmission electron microscope, using both kinematical and dynamical theory. Image simulation methods are outlined and the information from a variety of diffraction methods, such as CBED, are described. Various analytical techniques such as electron energy loss spectroscopy and x-ray fluorescence, including advanced techniques such as ALCHEMI, are covered. Emphasis is placed on the applications, resolution, and theoretical and practical limitations of each technique. There are several laboratory sessions, each requiring a report.
Prerequisite: ENGS 133 or permission of instructor
Instructor: I. Baker
(Cannot be used to satisfy any A.B. degree requirements)
Offered alternate years: 10W: arrange
This course will focus on the interface between the host and implant with greater emphasis on the tissue reaction to metals, ceramics, polymers, bioceramics, and biopolymers than on the effect of the host environment on the materials. Ion release concerns, wear particle reactions, and the potential toxic properties of the salts of implant metals will be analyzed. The cells and cellular reactions available to the host will be evaluated in detail.
Prerequisites: ENGS 165 and permission of instructor
Instructor: Van Citters
(Cannot be used to satisfy any A.B. degree requirements)
Offered: arrange
Review of coordinate systems, energy conservation equation, and temperature and heat-flux boundary conditions. Capillary blood perfusion as a distributed heat sink. Summary of distributed heat-flux sources associated with one or more of the following: internal and external radio-frequency, ultrasound, and microwave applicators. Surface cooling. Steady-state analytic and numerical solutions to practical problems in one and two dimensions. One or more of these advanced topics: transient responses, large blood vessels as discrete heat sinks, approximate solutions in three dimensions, lumped approximations to distributed systems.
Prerequisites: ENGS 23, ENGS 156, and permission of instructor
Instructor: Trembly
Offered: arrange
An individual engineering project to be completed during any term of the final year of an M.E.M. program. The project should define a practical need and propose a means to satisfy it, display an ability to conceive and evaluate solutions, describe appropriate analytical, experimental, and economic evaluations, and provide recommendations for further action. Projects will normally either have an industrial context or will be related to a specific design objective within a research program at Thayer School.
Prerequisites: ENGM 178 or permission of instructor
Instructors: Graves, Santos