Class Number
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15
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124
| Description
stringlengths 23
1.14k
| Offered
bool 2
classes | Term
stringclasses 97
values | Level
stringclasses 2
values | Units
stringclasses 194
values | Prerequisites
stringlengths 4
127
⌀ | Equivalents
stringlengths 7
63
⌀ | Lab
bool 2
classes | Partial Lab
bool 2
classes | REST
bool 2
classes | GIR
stringclasses 7
values | HASS
stringclasses 5
values | CI / CI-HW
stringclasses 3
values |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2.156
|
Artificial Intelligence and Machine Learning for Engineering Design
|
Machine learning and artificial intelligence techniques in engineering design applications. Emphasizes state-of-the-art machine learning techniques to design new products or systems or solve complex engineering problems. Lectures cover the theoretical and practical aspects of machine learning and optimization methods. Challenge problems, research paper discussions, and interactive in-class activities are used to highlight the unique challenges of machine learning for design applications. A group term project on students' applications of interest. Basic programming and machine learning familiarity are recommended. Students taking graduate version complete additional assignments.
| true |
Fall
|
Graduate
|
3-0-9
| null | null | false | false | false |
False
|
False
|
False
|
2.16
|
Learning Machines
|
Introduces fundamental concepts and encourages open-ended exploration of the increasingly topical intersection between artificial intelligence and the physical sciences. Energy and information, and their respective optimality conditions are used to define supervised and unsupervised learning algorithms; as well as ordinary and partial differential equations. Subsequently, physical systems with complex constitutive relationships are drawn from elasticity, biophysics, fluid mechanics, hydrodynamics, acoustics, and electromagnetics to illustrate how machine learning-inspired optimization can approximate solutions to forward and inverse problems in these domains.
| true |
Spring
|
Undergraduate
|
4-0-8
|
2.086, 18.075, and (6.3700 or 18.05)
| null | false | false | false |
False
|
False
|
False
|
2.160
|
Identification, Estimation, and Learning
|
Provides a broad theoretical basis for estimation, identification, and learning of linear and nonlinear systems at the cross-disciplinary area of system dynamics and control, machine learning, and statistics. Recursive least squares estimate, partial least squares, Kalman filter and extended Kalman filter, Bayes filter and particle filter; parametric and non-parametric system identification, Wiener-Hopf equation, persistent excitation, unbiased estimates, asymptotic variance, experiment design; function approximation theory, neural nets, radial basis functions, Koopman operator for exact linearization of nonlinear systems, and dynamic mode decomposition. Context-oriented mini-projects: robotics, self-driving cars, biomedical engineering, wearable sensors.
| true |
Fall
|
Graduate
|
3-0-9
|
2.151, 6.7100, 16.31, or permission of instructor
| null | false | false | false |
False
|
False
|
False
|
2.165[J]
|
Robotics
|
Introduction to robotics and learning in machines. Kinematics and dynamics of rigid body systems. Adaptive control, system identification, sparse representations. Force control, adaptive visual servoing. Task planning, teleoperation, imitation learning. Navigation. Underactuated systems, approximate optimization and control. Dynamics of learning and optimization in networks. Elements of biological planning and control. Motor primitives, entrainment, active sensing, binding models. Term projects.
| true |
Fall
|
Graduate
|
3-0-9
|
2.151 or permission of instructor
|
9.175[J]
| false | false | false |
False
|
False
|
False
|
2.168
|
Learning Machines
|
Introduces fundamental concepts and encourages open-ended exploration of the increasingly topical intersection between artificial intelligence and the physical sciences. Energy and information, and their respective optimality conditions are used to define supervised and unsupervised learning algorithms; as well as ordinary and partial differential equations. Subsequently, physical systems with complex constitutive relationships are drawn from elasticity, biophysics, fluid mechanics, hydrodynamics, acoustics, and electromagnetics to illustrate how machine learning-inspired optimization can approximate solutions to forward and inverse problems in these domains.
| true |
Spring
|
Graduate
|
3-0-9
| null | null | false | false | false |
False
|
False
|
False
|
2.171
|
Analysis and Design of Digital Control Systems
|
A comprehensive introduction to digital control system design, reinforced with hands-on laboratory experiences. Major topics include discrete-time system theory and analytical tools; design of digital control systems via approximation from continuous time; direct discrete-time design; loop-shaping design for performance and robustness; state-space design; observers and state-feedback; quantization and other nonlinear effects; implementation issues. Laboratory experiences and design projects connect theory with practice.
| true |
Fall
|
Graduate
|
3-3-6
|
2.14, 2.151, or permission of instructor
| null | false | false | false |
False
|
False
|
False
|
2.174[J]
|
Advancing Mechanics and Materials via Machine Learning
|
Concepts in mechanics (solid mechanics: continuum, micro, meso, and molecular mechanics; elasticity, plasticity, fracture and buckling) and machine learning (stochastic optimization, neural networks, convolutional neural nets, adversarial neural nets, graph neural nets, recurrent neural networks and long/short-term memory nets, attention models, variational/autoencoders) introduced and applied to mechanics problems. Covers numerical methods, data and image processing, dataset generation, curation and collection, and experimental validation using additive manufacturing. Modules cover: foundations, fracture mechanics and size effects, molecular mechanics and applications to biomaterials (proteins), forward and inverse problems, mechanics of architected materials, and time dependent mechanical phenomena. Students taking graduate version complete additional assignments.
| true |
Spring
|
Graduate
|
3-0-9
| null |
1.121[J]
| false | false | false |
False
|
False
|
False
|
2.177[J]
|
Designing Virtual Worlds
|
Three primary areas of focus are: creating new Virtual Reality experiences; mapping the state of emerging tools; and hosting guests - leaders in the VR/XR community, who serve as coaches for projects. Students have significant leeway to customize their own learning environment. As the field is rapidly evolving, each semester focuses on a new aspect of virtual worlds, based on the current state of innovations. Students work in teams of interdisciplinary peers from Berklee College of Music and Harvard University. Students taking graduate version complete additional assignments.
| true |
Fall
|
Undergraduate
|
4-2-6 [P/D/F]
| null |
CMS.342[J]
| false | false | false |
False
|
False
|
False
|
2.178[J]
|
Designing Virtual Worlds
|
Three primary areas of focus are: creating new Virtual Reality experiences; mapping the state of emerging tools; and hosting guests - leaders in the VR/XR community, who serve as coaches for projects. Students have significant leeway to customize their own learning environment. As the field is rapidly evolving, each semester focuses on a new aspect of virtual worlds, based on the current state of innovations. Students work in teams of interdisciplinary peers from Berklee College of Music and Harvard University. Students taking graduate version complete additional assignments.
| true |
Fall
|
Graduate
|
4-2-6 [P/D/F]
| null |
CMS.942[J]
| false | false | false |
False
|
False
|
False
|
2.18
|
Biomolecular Feedback Systems
|
Comprehensive introduction to mathematical modeling, dynamic analysis, and control of cellular biomolecular processes. Emphasizes design approaches for sophisticated biomolecular networks that are robust to the environment, both in bacterial and mammalian cells. Provides a review of biology concepts and detailed description of classical and novel mechanisms to regulate gene expression. Presents how to use these mechanisms to design feedback and feedforward control architectures. Covers basic enabling technologies from synthetic biology, engineering principles for designing biological functions, modular design techniques, and host-circuit interaction. Students taking graduate version complete additional assignments.
| true |
Spring
|
Graduate
|
3-0-9
|
Biology (GIR), 18.03, or permission of instructor
| null | false | false | false |
False
|
False
|
False
|
2.180
|
Biomolecular Feedback Systems
|
Comprehensive introduction to mathematical modeling, dynamic analysis, and control of cellular biomolecular processes. Emphasizes design approaches for sophisticated biomolecular networks that are robust to the environment, both in bacterial and mammalian cells. Provides a review of biology concepts and detailed description of classical and novel mechanisms to regulate gene expression. Presents how to use these mechanisms to design feedback and feedforward control architectures. Covers basic enabling technologies from synthetic biology, engineering principles for designing biological functions, modular design techniques, and host-circuit interaction. Students taking graduate version complete additional assignments.
| true |
Spring
|
Undergraduate
|
3-0-9
|
Biology (GIR), 18.03, or permission of instructor
| null | false | false | false |
False
|
False
|
False
|
2.183[J]
|
Biomechanics and Neural Control of Movement
|
Presents a quantitative description of how biomechanical and neural factors interact in human sensory-motor behavior. Students survey recent literature on how motor behavior is controlled, comparing biological and robotic approaches to similar tasks. Topics may include a review of relevant neural, muscular and skeletal physiology, neural feedback and "equilibrium-point" theories, co-contraction strategies, impedance control, kinematic redundancy, optimization, intermittency, contact tasks and tool use. Students taking graduate version complete additional assignments.
| true |
Spring
|
Graduate
|
3-0-9
|
2.004 or permission of instructor
|
9.34[J]
| false | false | false |
False
|
False
|
False
|
2.184
|
Biomechanics and Neural Control of Movement
|
Presents a quantitative description of how biomechanical and neural factors interact in human sensory-motor behavior. Students survey recent literature on how motor behavior is controlled, comparing biological and robotic approaches to similar tasks. Topics may include a review of relevant neural, muscular and skeletal physiology, neural feedback and "equilibrium-point" theories, co-contraction strategies, impedance control, kinematic redundancy, optimization, intermittency, contact tasks and tool use. Students taking graduate version complete additional assignments.
| true |
Spring
|
Undergraduate
|
3-0-9
|
2.004 or permission of instructor
| null | false | false | false |
False
|
False
|
False
|
2.20
|
Marine Hydrodynamics
|
The fundamentals of fluid mechanics are developed in the context of naval architecture and ocean science and engineering. Transport theorem and conservation principles. Navier-Stokes' equation. Dimensional analysis. Ideal and potential flows. Vorticity and Kelvin's theorem. Hydrodynamic forces in potential flow, D'Alembert's paradox, added-mass, slender-body theory. Viscous-fluid flow, laminar and turbulent boundary layers. Model testing, scaling laws. Application of potential theory to surface waves, energy transport, wave/body forces. Linearized theory of lifting surfaces. Experimental project in the towing tank or propeller tunnel.
| true |
Fall
|
Graduate
|
4-1-7
|
1.060, 2.006, 2.016, or 2.06
| null | false | false | false |
False
|
False
|
False
|
2.22
|
Design Principles for Ocean Vehicles
|
Design tools for analysis of linear systems and random processes related to ocean vehicles; description of ocean environment including random waves, ocean wave spectra and their selection; short-term and long-term wave statistics; and ocean currents. Advanced hydrodynamics for design of ocean vehicles and offshore structures, including wave forces on towed and moored structures; inertia vs. drag-dominated flows; vortex induced vibrations (VIV) of offshore structures; ship seakeeping and sensitivity of seakeeping performance. Design exercises in application of principles. Laboratory exercises in seakeeping and VIV at model scale.
| true |
Spring
|
Graduate
|
3-1-8
|
2.20
| null | false | false | false |
False
|
False
|
False
|
2.23
|
Hydrofoils and Propellers
|
Reviews the theory and design of hydrofoil sections; lifting and thickness problems for sub-cavitating sections and unsteady flow problems. Covers lifting line and lifting surface theory with applications to hydrofoil craft, rudder, control surface, propeller and wind turbine rotor design. Topics include propeller lifting line and lifting surface theory; wake adapted propellers, steady and unsteady propeller thrust and torque; waterjets; performance analysis and design of wind turbine rotors. Presents numerical principles of vortex lattice and lifting surface panel methods. Projects illustrate the development of theoretical and computational methods for lifting, propulsion and wind turbine applications.
| true |
Spring
|
Graduate
|
3-0-9
|
2.20 and 18.085
| null | false | false | false |
False
|
False
|
False
|
2.24[J]
|
Seakeeping of Ships and Offshore Energy Systems
|
Surface wave theory, conservation laws and boundary conditions, properties of regular surface waves and random ocean waves. Linearized theory of floating body dynamics, kinematic and dynamic free surface conditions, body boundary conditions. Simple harmonic motions. Diffraction and radiation problems, added mass and damping matrices. General reciprocity identities on diffraction and radiation. Ship wave resistance theory, Kelvin wake physics, ship seakeeping in regular and random waves. Discusses point wave energy absorbers, beam sea and head-sea devises, oscillating water column device and Well's turbine. Discusses offshore floating energy systems and their interaction with ambient waves, current and wind, including oil and gas platforms, liquefied natural gas (LNG) vessels and floating wind turbines. Homework drawn from real-world applications.
| false |
Spring
|
Graduate
|
4-0-8
|
2.20 and 18.085
|
1.692[J]
| false | false | false |
False
|
False
|
False
|
2.25
|
Fluid Mechanics
|
Survey of principal concepts and methods of fluid dynamics. Mass conservation, momentum, and energy equations for continua. Navier-Stokes equation for viscous flows. Similarity and dimensional analysis. Lubrication theory. Boundary layers and separation. Circulation and vorticity theorems. Potential flow. Introduction to turbulence. Lift and drag. Surface tension and surface tension driven flows.
| true |
Fall
|
Graduate
|
4-0-8
|
2.006 or 2.06; Coreq: 18.075 or 18.085
| null | false | false | false |
False
|
False
|
False
|
2.250[J]
|
Fluids and Diseases
|
Designed for students in engineering and the quantitative sciences who want to explore applications of mathematics, physics and fluid dynamics to infectious diseases and health; and for students in epidemiology, environmental health, ecology, medicine, and systems modeling seeking to understand physical and spatial modeling, and the role of fluid dynamics and physical constraints on infectious diseases and pathologies. The first part of the class reviews modeling in epidemiology and data collection, and highlights concepts of spatial modeling and heterogeneity. The remainder highlights multi-scale dynamics, the role of fluids and fluid dynamics in physiology, and pathology in a range of infectious diseases. The laboratory portion entails activities aimed at integrating applied learning with theoretical concepts discussed in lectures and covered in problem sets. Students taking graduate version complete additional assignments.
| false |
Spring
|
Graduate
|
3-3-6
| null |
1.631[J], HST.537[J]
| false | false | false |
False
|
False
|
False
|
2.26[J]
|
Advanced Fluid Dynamics
|
Fundamentals of fluid dynamics intrinsic to natural physical phenomena and/or engineering processes. Discusses a range of topics and advanced problem-solving techniques. Sample topics include brief review of basic laws of fluid motion, scaling and approximations, creeping flows, boundary layers in high-speed flows, steady and transient, similarity method of solution, buoyancy-driven convection in porous media, dispersion in steady or oscillatory flows, physics and mathematics of linearized instability, effects of shear and stratification. In alternate years, two of the following modules will be offered: I: Geophysical Fluid Dynamics of Coastal Waters, II: Capillary Phenomena, III: Non-Newtonian Fluids, IV: Flagellar Swimming.
| true |
Spring
|
Graduate
|
4-0-8
|
18.085 and (2.25 or permission of instructor)
|
1.63[J]
| false | false | false |
False
|
False
|
False
|
2.28
|
Fundamentals and Applications of Combustion
|
Fundamentals and modeling of reacting gas dynamics and combustion using analytical and numerical methods. Conservation equations of reacting flows. Multi-species transport, chemical thermodynamics and chemical kinetics. Non-equilibrium flow. Detonation and reacting boundary layers. Ignition, flammability, and extinction. Premixed and diffusion flames. Combustion instabilities. Supersonic combustion. Turbulent combustion. Liquid and solid burning. Fire, safety, and environmental impact. Applications to power and propulsion.
| true |
Fall
|
Graduate
|
3-0-9
|
2.006 or (2.051 and 2.06)
| null | false | false | false |
False
|
False
|
False
|
2.29
|
Numerical Fluid Mechanics
|
Introduction to numerical methods and MATLAB: errors, condition numbers and roots of equations. Navier-Stokes. Direct and iterative methods for linear systems. Finite differences for elliptic, parabolic and hyperbolic equations. Fourier decomposition, error analysis and stability. High-order and compact finite-differences. Finite volume methods. Time marching methods. Navier-Stokes solvers. Grid generation. Finite volumes on complex geometries. Finite element methods. Spectral methods. Boundary element and panel methods. Turbulent flows. Boundary layers. Lagrangian Coherent Structures. Includes a final research project. Students taking graduate version complete additional assignments.
| true |
Spring
|
Graduate
|
4-0-8
|
18.075 and (2.006, 2.016, 2.06, 2.20, or 2.25)
| null | false | false | false |
False
|
False
|
False
|
2.290
|
Numerical Fluid Mechanics
|
Introduction to numerical methods and MATLAB: errors, condition numbers and roots of equations. Navier-Stokes. Direct and iterative methods for linear systems. Finite differences for elliptic, parabolic and hyperbolic equations. Fourier decomposition, error analysis and stability. High-order and compact finite-differences. Finite volume methods. Time marching methods. Navier-Stokes solvers. Grid generation. Finite volumes on complex geometries. Finite element methods. Spectral methods. Boundary element and panel methods. Turbulent flows. Boundary layers. Lagrangian Coherent Structures. Includes a final research project. Students taking graduate version complete additional assignments.
| true |
Spring
|
Undergraduate
|
4-0-8
|
2.005
| null | false | false | false |
False
|
False
|
False
|
2.341[J]
|
Macromolecular Hydrodynamics
|
Physical phenomena in polymeric liquids undergoing deformation and flow. Kinematics and material functions for complex fluids; techniques of viscometry, rheometry; and linear viscoelastic measurements for polymeric fluids. Generalized Newtonian fluids. Continuum mechnanics, frame invariance, and convected derivatives for finite strain viscoelasticity. Differential and integral constitutive equations for viscoelastic fluids. Analytical solutions to isothermal and non-isothermal flow problems; the roles of non-Newtonian viscosity, linear viscoelasticity, normal stresses, elastic recoil, stress relaxation in processing flows. Introduction to molecular theories for dynamics of polymeric fluids. (Extensive class project and presentation required instead of a final exam).
| true |
Spring
|
Graduate
|
3-0-6
|
2.25, 10.301, or permission of instructor
|
10.531[J]
| false | false | false |
False
|
False
|
False
|
2.37
|
Fundamentals of Nanoengineering
|
Presents the fundamentals of molecular modeling in engineering in the context of nanoscale mechanical engineering applications. Statistical mechanics and its connection to engineering thermodynamics. Molecular origin and limitations of macroscopic descriptions and constitutive relations for equilibrium and non-equilibrium behavior. Introduction to molecular simulation, solid-state physics and electrokinetic phenomena. Discusses molecular approaches to modern nanoscale engineering problems. Graduate students are required to complete additional assignments with stronger analytical content.
| true |
Spring
|
Graduate
|
3-0-9
|
Permission of instructor
| null | false | false | false |
False
|
False
|
False
|
2.370
|
Fundamentals of Nanoengineering
|
Presents the fundamentals of molecular modeling in engineering in the context of nanoscale mechanical engineering applications. Statistical mechanics and its connection to engineering thermodynamics. Molecular origin and limitations of macroscopic descriptions and constitutive relations for equilibrium and non-equilibrium behavior. Introduction to molecular simulation, solid-state physics and electrokinetic phenomena. Discusses molecular approaches to modern nanoscale engineering problems. Graduate students are required to complete additional assignments with stronger analytical content.
| true |
Spring, Fall, Fall, Spring, Fall, Spring
|
Graduate
|
3-0-9
|
Chemistry (GIR) and 2.001
| null | false | false | false |
False
|
False
|
False
|
2.391[J]
|
Nanostructure Fabrication
|
Describes current techniques used to analyze and fabricate nanometer-length-scale structures and devices. Emphasizes imaging and patterning of nanostructures, including fundamentals of optical, electron (scanning, transmission, and tunneling), and atomic-force microscopy; optical, electron, ion, and nanoimprint lithography, templated self-assembly, and resist technology. Surveys substrate characterization and preparation, facilities, and metrology requirements for nanolithography. Addresses nanodevice processing methods, such as liquid and plasma etching, lift-off, electroplating, and ion-implant. Discusses applications in nanoelectronics, nanomaterials, and nanophotonics.
| true |
Spring
|
Graduate
|
4-0-8
|
2.710, 6.2370, 6.2600, or permission of instructor
|
6.6600[J]
| false | false | false |
False
|
False
|
False
|
2.42
|
General Thermodynamics
|
General foundations of thermodynamics from an entropy point of view, entropy generation and transfer in complex systems. Definitions of work, energy, stable equilibrium, available energy, entropy, thermodynamic potential, and interactions other than work (nonwork, heat, mass transfer). Applications to properties of materials, bulk flow, energy conversion, chemical equilibrium, combustion, and industrial manufacturing.
| true |
Fall
|
Graduate
|
3-0-9
|
Permission of instructor
| null | false | false | false |
False
|
False
|
False
|
2.43
|
Advanced Thermodynamics
|
<p class="xmsolistparagraph">Self-contained concise review of general thermodynamics concepts, multicomponent equilibrium properties, chemical equilibrium, electrochemical potentials, and chemical kinetics, as needed to introduce the methods of nonequilibrium thermodynamics and to provide a unified understanding of phase equilibria, transport and nonequilibrium phenomena useful for future energy and climate engineering technologies. Applications include: second-law efficiencies and methods to allocate primary energy consumptions and CO2 emissions in cogeneration and hybrid power systems, minimum work of separation, maximum work of mixing, osmotic pressure and membrane equilibria, metastable states, spinodal decomposition, Onsager's near-equilibrium reciprocity in thermodiffusive, thermoelectric, and electrokinetic cross effects.
| true |
Spring
|
Graduate
|
4-0-8
|
2.42 or permission of instructor
| null | false | false | false |
False
|
False
|
False
|
2.500
|
Desalination and Water Purification
|
Introduces the fundamental science and technology of desalinating water to overcome water scarcity and ensure sustainable water supplies. Covers basic water chemistry, flash evaporation, reverse osmosis and membrane engineering, electrodialysis, nanofiltration, solar desalination, energy efficiency of desalination systems, fouling and scaling, environmental impacts, and economics of desalination systems. Open to upper-class undergraduates.
| true |
Spring
|
Graduate
|
3-0-9
|
1.020, 2.006, 10.302, (2.051 and 2.06), or permission of instructor
| null | false | false | false |
False
|
False
|
False
|
2.51
|
Intermediate Heat and Mass Transfer
|
Covers conduction (governing equations and boundary conditions, steady and unsteady heat transfer, resistance concept); laminar and turbulent convection (forced-convection and natural-convection boundary layers, external flows); radiation (blackbody and graybody exchange, spectral and solar radiation); coupled conduction, convection, radiation problems; synthesis of analytical, computational, and experimental techniques; and mass transfer at low rates, evaporation.
| true |
Fall
|
Undergraduate
|
3-0-9
|
(2.005 and 18.03) or permission of instructor
| null | false | false | false |
False
|
False
|
False
|
2.52[J]
|
Modeling and Approximation of Thermal Processes
|
Provides instruction on how to model thermal transport processes in typical engineering systems such as those found in manufacturing, machinery, and energy technologies. Successive modules cover basic modeling tactics for particular modes of transport, including steady and unsteady heat conduction, convection, multiphase flow processes, and thermal radiation. Includes a creative design project executed by the students.
| true |
Fall
|
Graduate
|
3-0-9
|
2.51
|
4.424[J]
| false | false | false |
False
|
False
|
False
|
2.55
|
Advanced Heat and Mass Transfer
|
Advanced treatment of fundamental aspects of heat and mass transport. Covers topics such as diffusion kinetics, conservation laws, laminar and turbulent convection, mass transfer including phase change or heterogeneous reactions, and basic thermal radiation. Problems and examples include theory and applications drawn from a spectrum of engineering design and manufacturing problems.
| true |
Spring
|
Graduate
|
4-0-8
|
2.51
| null | false | false | false |
False
|
False
|
False
|
2.57
|
Nano-to-Macro Transport Processes
|
Parallel treatments of photons, electrons, phonons, and molecules as energy carriers; aiming at a fundamental understanding of descriptive tools for energy and heat transport processes, from nanoscale to macroscale. Topics include energy levels; statistical behavior and internal energy; energy transport in the forms of waves and particles; scattering and heat generation processes; Boltzmann equation and derivation of classical laws; and deviation from classical laws at nanoscale and their appropriate descriptions. Applications in nanotechnology and microtechnology. Students taking the graduate version complete additional assignments.
| true |
Fall
|
Graduate
|
3-0-9
|
2.005, 2.051, or permission of instructor
| null | false | false | false |
False
|
False
|
False
|
2.570
|
Nano-to-Macro Transport Processes
|
Parallel treatments of photons, electrons, phonons, and molecules as energy carriers; aiming at a fundamental understanding of descriptive tools for energy and heat transport processes, from nanoscale to macroscale. Topics include energy levels; statistical behavior and internal energy; energy transport in the forms of waves and particles; scattering and heat generation processes; Boltzmann equation and derivation of classical laws; and deviation from classical laws at nanoscale and their appropriate descriptions. Applications in nanotechnology and microtechnology. Students taking the graduate version complete additional assignments.
| true |
Fall, Fall, Spring, Fall, Spring
|
Graduate
|
3-0-9
|
2.005, 2.051, or permission of instructor
| null | false | false | false |
False
|
False
|
False
|
2.58
|
Radiative Transfer
|
Principles of thermal radiation and their application to engineering heat and photon transfer problems. Quantum and classical models of radiative properties of materials, electromagnetic wave theory for thermal radiation, radiative transfer in absorbing, emitting, and scattering media, and coherent laser radiation. Applications cover laser-material interactions, imaging, infrared instrumentation, global warming, semiconductor manufacturing, combustion, furnaces, and high temperature processing.
| true |
Spring
|
Graduate
|
3-0-9
|
2.51, 10.302, or permission of instructor
| null | false | false | false |
False
|
False
|
False
|
2.59[J]
|
Thermal Hydraulics in Power Technology
|
Emphasis on thermo-fluid dynamic phenomena and analysis methods for conventional and nuclear power stations. Kinematics and dynamics of two-phase flows. Steam separation. Boiling, instabilities, and critical conditions. Single-channel transient analysis. Multiple channels connected at plena. Loop analysis including single and two-phase natural circulation. Subchannel analysis.
| true |
Fall
|
Graduate
|
3-2-7
|
2.006, 10.302, 22.312, or permission of instructor
|
10.536[J], 22.313[J]
| false | false | false |
False
|
False
|
False
|
2.60[J]
|
Fundamentals of Advanced Energy Conversion
|
Fundamentals of thermodynamics, chemistry, and transport applied to energy systems. Analysis of energy conversion and storage in thermal, mechanical, chemical, and electrochemical processes in power and transportation systems, with emphasis on efficiency, performance, and environmental impact. Applications to fuel reforming and alternative fuels, hydrogen, fuel cells and batteries, combustion, catalysis, combined and hybrid power cycles using fossil, nuclear and renewable resources. CO2 separation and capture. Biomass energy. Students taking graduate version complete additional assignments.
| true |
Spring
|
Undergraduate
|
4-0-8
|
2.006, (2.051 and 2.06), or permission of instructor
|
10.390[J]
| false | false | false |
False
|
False
|
False
|
2.603
|
Fundamentals of Smart and Resilient Grids
|
Introduces the fundamentals of power system structure, operation and control. Emphasizes the challenges and opportunities for integration of new technologies: photovoltaic, wind, electric storage, demand response, synchrophasor measurements. Introduces the basics of power system modeling and analysis. Presents the basic phenomena of voltage and frequency stability as well technological and regulatory constraints on system operation. Describes both the common and emerging automatic control systems and operator decision-making policies. Relies on a combination of traditional lectures, homework assignments, and group projects. Students taking graduate version complete additional assignments.
| true |
Fall
|
Undergraduate
|
4-0-8
|
2.003
| null | false | false | false |
False
|
False
|
False
|
2.61
|
Internal Combustion Engines
|
Fundamentals of how the design and operation of internal combustion engines affect their performance, efficiency, fuel requirements, and environmental impact. Study of fluid flow, thermodynamics, combustion, heat transfer and friction phenomena, and fuel properties, relevant to engine power, efficiency, and emissions. Examination of design features and operating characteristics of different types of internal combustion engines: spark-ignition, diesel, stratified-charge, and mixed-cycle engines. Engine Laboratory project. For graduate and senior undergraduate students.
| true |
Spring
|
Graduate
|
3-1-8
|
2.006
| null | false | false | false |
False
|
False
|
False
|
2.611
|
Marine Power and Propulsion
|
Selection and evaluation of commercial and naval ship power and propulsion systems. Analysis of propulsors, prime mover thermodynamic cycles, propeller-engine matching. Propeller selection, waterjet analysis, review of alternative propulsors; thermodynamic analyses of Rankine, Brayton, Diesel, and Combined cycles, reduction gears and integrated electric drive. Battery operated vehicles, fuel cells. Term project requires analysis of alternatives in propulsion plant design for given physical, performance, and economic constraints. Graduate students complete different assignments and exams.
| true |
Fall
|
Graduate
|
4-0-8
|
2.005
| null | false | false | false |
False
|
False
|
False
|
2.612
|
Marine Power and Propulsion
|
Selection and evaluation of commercial and naval ship power and propulsion systems. Analysis of propulsors, prime mover thermodynamic cycles, propeller-engine matching. Propeller selection, waterjet analysis, review of alternative propulsors; thermodynamic analyses of Rankine, Brayton, Diesel, and Combined cycles, reduction gears and integrated electric drive. Battery operated vehicles, fuel cells. Term project requires analysis of alternatives in propulsion plant design for given physical, performance, and economic constraints. Graduate students complete different assignments and exams.
| true |
Fall, Spring, Fall, Spring
|
Graduate
|
4-0-8
|
2.005
| null | false | false | false |
False
|
False
|
False
|
2.62[J]
|
Fundamentals of Advanced Energy Conversion
|
Fundamentals of thermodynamics, chemistry, and transport applied to energy systems. Analysis of energy conversion and storage in thermal, mechanical, chemical, and electrochemical processes in power and transportation systems, with emphasis on efficiency, performance and environmental impact. Applications to fuel reforming and alternative fuels, hydrogen, fuel cells and batteries, combustion, catalysis, combined and hybrid power cycles using fossil, nuclear and renewable resources. CO2 separation and capture. Biomass energy. Meets with 2.60 when offered concurrently; students taking the graduate version complete additional assignments.
| true |
Spring
|
Graduate
|
4-0-8
|
2.006, (2.051 and 2.06), or permission of instructor
|
10.392[J], 22.40[J]
| false | false | false |
False
|
False
|
False
|
2.625[J]
|
Electrochemical Energy Conversion and Storage: Fundamentals, Materials and Applications
|
Fundamental concepts, tools, and applications in electrochemical science and engineering. Introduces thermodynamics, kinetics and transport of electrochemical reactions. Describes how materials structure and properties affect electrochemical behavior of particular applications, for instance in lithium rechargeable batteries, electrochemical capacitors, fuel cells, photo electrochemical cells, and electrolytic cells. Discusses state-of-the-art electrochemical energy technologies for portable electronic devices, hybrid and plug-in vehicles, electrical vehicles. Theoretical and experimental exploration of electrochemical measurement techniques in cell testing, and in bulk and interfacial transport measurements (electronic and ionic resistivity and charge transfer cross the electrode-electrolyte interface).
| true |
Fall
|
Graduate
|
4-0-8
|
2.005, 3.046, 3.53, 10.40, (2.051 and 2.06), or permission of instructor
|
10.625[J]
| false | false | false |
False
|
False
|
False
|
2.626
|
Fundamentals of Photovoltaics
|
Fundamentals of photoelectric conversion: charge excitation, conduction, separation, and collection. Studies commercial and emerging photovoltaic technologies. Cross-cutting themes include conversion efficiencies, loss mechanisms, characterization, manufacturing, systems, reliability, life-cycle analysis, and risk analysis. Photovoltaic technology evolution in the context of markets, policies, society, and environment. Graduate students complete additional work.
| true |
Fall
|
Graduate
|
4-0-8
|
Permission of instructor
| null | false | false | false |
False
|
False
|
False
|
2.627
|
Fundamentals of Photovoltaics
|
Fundamentals of photoelectric conversion: charge excitation, conduction, separation, and collection. Studies commercial and emerging photovoltaic technologies. Cross-cutting themes include conversion efficiencies, loss mechanisms, characterization, manufacturing, systems, reliability, life-cycle analysis, and risk analysis. Photovoltaic technology evolution in the context of markets, policies, society, and environment. Graduate students complete additional work.
| true |
Fall
|
Undergraduate
|
4-0-8
|
Permission of instructor
| null | false | false | false |
False
|
False
|
False
|
2.630
|
Interfacial Engineering
|
Interfacial interactions are ubiquitous in many industries including energy, water, agriculture, medical, transportation, and consumer products. Transport processes are typically limited by interfaces. Addresses how interfacial properties (eg., chemistry, morphology, thermal, electrical) can be engineered for significant efficiency enhancements. Topics include surface tension and wetting phenomena, thermodynamics of interfaces, surface chemistry and morphology, nonwetting, slippery, and superwetting surfaces, charged interfaces and electric double layers, intermolecular forces, Van der Waals and double-layer forces, DLVO theory, electrowetting and electro-osmotic flows, electrochemical bubbles, surfactants, phase transitions, and bio-interfaces. Manufacturing approaches, entrepreneurial efforts to translate technologies to markets, guest lectures and start-up company tours provide real-world exposure. Anticipated enrollment is 15-20.
| true |
Fall
|
Graduate
|
3-0-9
| null | null | false | false | false |
False
|
False
|
False
|
2.65[J]
|
Sustainable Energy
|
Assessment of current and potential future energy systems. Covers resources, extraction, conversion, and end-use technologies, with emphasis on meeting 21st-century regional and global energy needs in a sustainable manner. Examines various energy technologies in each fuel cycle stage for fossil (oil, gas, synthetic), nuclear (fission and fusion) and renewable (solar, biomass, wind, hydro, and geothermal) energy types, along with storage, transmission, and conservation issues. Emphasizes analysis of energy propositions within an engineering, economic and social context. Students taking graduate version complete additional assignments.
| true |
Fall, Fall
|
Graduate
|
3-1-8
|
Permission of instructor
|
1.818[J], 10.391[J], 11.371[J], 22.811[J]
| false | false | false |
False
|
False
|
False
|
2.650[J]
|
Introduction to Sustainable Energy
|
Assessment of current and potential future energy systems. Covers resources, extraction, conversion, and end-use technologies, with emphasis on meeting 21st-century regional and global energy needs in a sustainable manner. Examines various renewable and conventional energy production technologies, energy end-use practices and alternatives, and consumption practices in different countries. Investigates their attributes within a quantitative analytical framework for evaluation of energy technology system proposals. Emphasizes analysis of energy propositions within an engineering, economic and social context. Students taking graduate version complete additional assignments. Limited to juniors and seniors.
| true |
Fall
|
Undergraduate
|
3-1-8
|
Permission of instructor
|
10.291[J], 22.081[J]
| false | false | false |
False
|
False
|
False
|
2.651[J]
|
Introduction to Energy in Global Development
|
Surveys energy technologies including solar, wind, and hydro power; cooking; indoor heating; irrigation; and agricultural productivity through an international development context to impart energy literacy and common-sense applications. Focuses on compact, robust, low-cost systems for meeting the needs of household and small business. Provides an overview of identifying user needs, assessing the suitability of specific technologies, and strategies for implementation in developing countries. Labs reinforce lecture material through activities including system assembly and testing. Team projects involve activities including connecting with pre-selected community partners, product design and analysis, and continuing the development of ongoing projects. Optional summer fieldwork may be available. Students taking graduate version complete additional assignments. Enrollment limited by lottery; must attend first class session.
| true |
Spring
|
Undergraduate
|
3-2-7
| null |
EC.711[J]
| false | false | false |
False
|
False
|
False
|
2.652[J]
|
Applications of Energy in Global Development
|
Engages students in project-based learning, in collaboration with D-Lab community partners, to improve access to affordable, reliable, sustainable, and modern energy for all. Teams work on off-grid energy projects addressing challenges in lighting, cooking, agricultural productivity, or other areas in collaboration with D-Lab community partners in developing countries. Project work includes assessment of user needs, technology identification, product design, prototyping, and development of implementation strategies to continue progress of ongoing projects. Optional IAP field visits may be available to test and implement the solutions developed during the semester. Students enrolled in the graduate version complete additional assignments. Limited to 20; preference to students who have taken EC.711.
| true |
Fall
|
Undergraduate
|
4-0-8
| null |
EC.712[J]
| false | false | false |
False
|
False
|
False
|
2.670
|
Mechanical Engineering Tools
|
Introduces the fundamentals of machine tools use and fabrication techniques. Students work with a variety of machine tools including the bandsaw, milling machine, and lathe. Mechanical Engineering students are advised to take this subject in the first IAP after declaring their major. Enrollment may be limited due to laboratory capacity. Preference to Course 2 majors and minors.
| true |
Fall, IAP, Spring
|
Undergraduate
|
0-1-2
| null | null | false | false | false |
False
|
False
|
False
|
2.671
|
Measurement and Instrumentation
|
Introduces fundamental concepts and experimental techniques for observation and measurement of physical variables such as force and motion, liquid and gas properties, physiological parameters, and measurements of light, sound, electrical quantities, and temperature. Emphasizes mathematical techniques including uncertainty analysis and statistics, Fourier analysis, frequency response, and correlation functions. Uses engineering knowledge to select instruments and design experimental methods to obtain and interpret meaningful data. Guided learning during lab experiments promotes independent experiment design and measurements performed outside the lab in the semester-long "Go Forth and Measure" project. Advances students' ability to critically read, evaluate, and extract specific technical meaning from information in a variety of media, and provides extensive instruction and practice in written, graphical, and oral communication. Enrollment limited.
| true |
Fall, Spring
|
Undergraduate
|
3-3-6
|
Physics II (GIR), 2.001, 2.003, and 2.086
| null | true | false | false |
False
|
False
|
False
|
2.673[J]
|
Instrumentation and Measurement for Biological Systems
|
Sensing and measurement aimed at quantitative molecular/cell/tissue analysis in terms of genetic, biochemical, and biophysical properties. Methods include light and fluorescence microscopies, and electro-mechanical probes (atomic force microscopy, optical traps, MEMS devices). Application of statistics, probability, signal and noise analysis, and Fourier techniques to experimental data. Enrollment limited; preference to Course 20 undergraduates.
| true |
Fall, Spring
|
Undergraduate
|
3-6-3
|
(Biology (GIR), Physics II (GIR), 6.100B, and 18.03) or permission of instructor
|
20.309[J]
| false | false | false |
False
|
False
|
False
|
2.674
|
Introduction to Micro/Nano Engineering Laboratory
|
Presents concepts, ideas, and enabling tools for nanoengineering through experiential lab modules, which include microfluidics, microelectromechanical systems (MEMS), and nanomaterials and nanoimaging tools such as scanning electron microscopy (SEM), transmission electron microscopy (TEM), and atomic-force microscopy (AFM). Provides knowledge and experience via building, observing and manipulating micro- and nanoscale structures. Exposes students to fluid, thermal, and dynamic systems at small scales. Enrollment limited; preference to Course 2 and 2-A majors and minors.
| true |
Spring, Fall
|
Graduate
|
1-3-2
|
Physics II (GIR) or permission of instructor
| null | false | false | false |
False
|
False
|
False
|
2.675
|
Micro/Nano Engineering Laboratory
|
Covers advanced nanoengineering via practical lab modules in connection with classical fluid dynamics, mechanics, thermodynamics, and material physics. Labs include microfluidic systems, microelectromechanical systems (MEMS), emerging nanomaterials such as graphene, carbon nanotubes (CNTs), and nanoimaging tools. Student teams lead an experimental term project that uses the tools and knowledge acquired through the lab modules and experimental work, and culminates in a report and presentation. Recitations cover idea development, experiment design, planning and execution, and analysis of results pertinent to the project. Enrollment limited.
| true |
Fall
|
Graduate
|
2-3-7
|
2.25 and (6.777 or permission of instructor)
| null | false | false | false |
False
|
False
|
False
|
2.676
|
Micro/Nano Engineering Laboratory
|
Studies advanced nanoengineering via experiental lab modules with classical fluid dynamics, mechanics, thermodynamics, and materials science. Lab modules include microfluidic systems; microelectromechanical systems (MEMS); emerging nanomaterials, such as graphene and carbon nanotubes (CNTs); and nanoimaging tools. Recitation develops in-depth knowledge and understanding of physical phenomena observed in the lab through quantitative analysis. Students have the option to engage in term projects led by students taking 2.675. Enrollment limited; preference to Course 2 and 2-OE majors and minors.
| true |
Fall
|
Undergraduate
|
2-3-7
|
2.001, 2.003, 2.671, and Coreq: (2.005 or (2.051 and 2.06)); or permission of instructor
| null | false | false | false |
False
|
False
|
False
|
2.677
|
Design and Experimentation for Ocean Engineering
|
Design and experimental observation for ocean engineering systems focusing on the fundamentals of ocean wave propagation, ocean wave spectra and wave dispersion, cavitation, added mass, acoustic sound propagation in water, sea loads on offshore structures, design of experiments for ship model testing, fish-like swimming propulsion, propellers, and ocean energy harvesting. Emphasizes fundamentals of data analysis of signals from random environments using Fourier transforms, noise filtering, statistics and error analysis using MATLAB. Students carry out experiential laboratory exercises in various Ocean Engineering laboratories on campus, including short labs and demos, longer exercises with written reports, and a final experimental design project. Enrollment may be limited due to laboratory capacity.
| true |
Fall
|
Undergraduate
|
0-3-3
|
2.00A and 2.086; Coreq: 2.016 or permission of instructor
| null | false | false | false |
False
|
False
|
False
|
2.678
|
Electronics for Mechanical Systems
|
Practical introduction to the fundamentals of electronics in the context of electro-mechanical systems, with emphasis on experimentation and project work in basic electronics. Laboratory exercises include the design and construction of simple electronic devices, such as power supplies, amplifiers, op-amp circuits, switched mode dc-dc converters, and dc motor drivers. Surveys embedded microcontrollers as system elements. Laboratory sessions stress the understanding of electronic circuits at the component level, but also point out the modern approach of system integration using commercial modules and specialized integrated circuits. Enrollment may be limited due to laboratory capacity; preference to Course 2 majors and minors.
| true |
Fall, Spring
|
Undergraduate
|
2-2-2
|
Physics II (GIR)
| null | false | false | false |
False
|
False
|
False
|
2.679
|
Electronics for Mechanical Systems II
|
Extends the concepts and techniques developed in 2.678 to include complex systems and modeling of real-world elements with a strong emphasis on lab experimentation and independent project work. Topics include sampling theory, energy storage, embedded mobile systems, autonomous navigation, printed circuit board design, system integration, and machine vision. Enrollment may be limited; preference to Course 2 majors.
| true |
Spring
|
Undergraduate
|
2-3-1
|
2.086, 2.678, and 18.03
| null | false | false | false |
False
|
False
|
False
|
2.680
|
Unmanned Marine Vehicle Autonomy, Sensing, and Communication
|
Focuses on software and algorithms for autonomous decision making (autonomy) by underwater vehicles operating in ocean environments. Discusses how autonomous marine vehicles (UMVs) adapt to the environment for improved sensing performance. Covers sensors for acoustic, biological and chemical sensing and their integration with the autonomy system for environmentally adaptive undersea mapping and observation. Introduces students to the underwater acoustic communication environment and various options for undersea navigation, highlighting their relevance to the operation of collaborative undersea networks for environmental sensing. Labs involve the use of the MOOP-IvP autonomy software for the development of integrated sensing, modeling and control solutions. Solutions modeled in simulation environments and include field tests with small autonomous surface and underwater vehicles operated on the Charles River. Limited enrollment.
| true |
Spring
|
Graduate
|
2-6-4
|
Permission of instructor
| null | false | false | false |
False
|
False
|
False
|
2.681
|
Environmental Ocean Acoustics
|
Fundamentals of underwater sound, and its application to mapping and surveillance in an ocean environment. Wave equations for fluid and elastic media. Reflection and transmission of sound at plane interfaces. Wave theory representation of acoustic source radiation and propagation in shallow and deep ocean waveguides. Interaction of underwater sound with elastic waves in the seabed and an Arctic ice cover, including effects of porosity and anisotropy. Numerical modeling of the propagation of underwater sound, including spectral methods, normal mode theory, and the parabolic equation method, for laterally homogeneous and inhomogeneous environments. Doppler effects. Effects of oceanographic variability and fluctuation - spatial and temporal coherence. Generation and propagation of ocean ambient noise. Modeling and simulation of signals and noise in traditional sonar systems, as well as modern, distributed, autonomous acoustic surveillance systems.
| true |
Fall
|
Graduate
|
3-0-9
|
2.066, 18.075, or permission of instructor
| null | false | false | false |
False
|
False
|
False
|
2.682
|
Acoustical Oceanography
|
Provides brief overview of what important current research topics are in oceanography (physical, geological, and biological) and how acoustics can be used as a tool to address them. Three typical examples are climate, bottom geology, and marine mammal behavior. Addresses the acoustic inverse problem, reviewing inverse methods (linear and nonlinear) and the combination of acoustical methods with other measurements as an integrated system. Concentrates on specific case studies, taken from current research journals.
| true |
Spring
|
Graduate
|
3-0-9
|
2.681
| null | false | false | false |
False
|
False
|
False
|
2.683
|
Marine Bioacoustics and Geoacoustics
|
Both active and passive acoustic methods of measuring marine organisms, the seafloor, and their interactions are reviewed. Acoustic methods of detecting, observing, and quantifying marine biological organisms are described, as are acoustic methods of measuring geological properties of the seafloor, including depth, and surficial and volumetric composition. Interactions are also described, including effects of biological scatterers on geological measurements, and effects of seafloor scattering on measurements of biological scatterers on, in, or immediately above the seafloor. Methods of determining small-scale material properties of organisms and the seafloor are outlined. Operational methods are emphasized, and corresponding measurement theory is described. Case studies are used in illustration. Principles of acoustic-system calibration are elaborated.
| true |
Spring
|
Graduate
|
3-0-9
|
2.681
| null | false | false | false |
False
|
False
|
False
|
2.684
|
Wave Scattering by Rough Surfaces and Inhomogeneous Media
|
An advanced-level subject designed to give students a working knowledge of current techniques in this area. Material is presented principally in the context of ocean acoustics, but can be used in other acoustic and electromagnetic applications. Includes fundamentals of wave propagation through, and/or scattering by: random media, extended coherent structures, rough surfaces, and discrete scatterers.
| true |
Spring
|
Graduate
|
3-0-9
|
2.066 or permission of instrctor
| null | false | false | false |
False
|
False
|
False
|
2.687
|
Time Series Analysis and System Identification
|
Covers matched filtering, power spectral (PSD) estimation, and adaptive signal processing / system identification algorithms. Algorithm development is framed as an optimization problem, and optimal and approximate solutions are described. Reviews time-varying systems, first and second moment representations of stochastic processes, and state-space models. Also covers algorithm derivation, performance analysis, and robustness to modeling errors. Algorithms for PSD estimation, the LMS and RLS algorithms, and the Kalman Filter are treated in detail.
| true |
Fall, Spring
|
Graduate
|
3-0-9
|
6.3010 and 18.06
| null | false | false | false |
False
|
False
|
False
|
2.688
|
Principles of Oceanographic Instrument Systems -- Sensors and Measurements
|
Introduces theoretical and practical principles of design of oceanographic sensor systems. Transducer characteristics for acoustic, current, temperature, pressure, electric, magnetic, gravity, salinity, velocity, heat flow, and optical devices. Limitations on these devices imposed by ocean environment. Signal conditioning and recording; noise, sensitivity, and sampling limitations; standards. Principles of state-of-the-art systems being used in physical oceanography, geophysics, submersibles, acoustics discussed in lectures by experts in these areas. Day cruises in local waters during which the students will prepare, deploy and analyze observations from standard oceanographic instruments constitute the lab work for this subject.
| true |
Fall
|
Graduate
|
3-3-6
|
2.671 and 18.075
| null | false | false | false |
False
|
False
|
False
|
2.689[J]
|
Projects in Oceanographic Engineering
|
Projects in oceanographic engineering, carried out under supervision of Woods Hole Oceanographic Institution staff. Given at Woods Hole Oceanographic Institution.
| true |
Fall, Spring, Summer
|
Graduate
|
rranged [P/D/F]
|
Permission of instructor
|
1.699[J]
| false | false | false |
False
|
False
|
False
|
2.690
|
Corrosion in Marine Engineering
|
Introduction to forms of corrosion encountered in marine systems material selection, coatings and protection systems. Case studies and causal analysis developed through student presentations.
| true |
Summer
|
Graduate
|
3-0-3
|
3.012 and permission of instructor
| null | false | false | false |
False
|
False
|
False
|
2.700
|
Principles of Naval Architecture
|
Presents principles of naval architecture, ship geometry, hydrostatics, calculation and drawing of curves of form, intact and damage stability, hull structure strength calculations and ship resistance. Introduces computer-aided naval ship design and analysis tools. Projects include analysis of ship lines drawings, calculation of ship hydrostatic characteristics, analysis of intact and damaged stability, ship model testing, and hull structure strength calculations. Students taking graduate version complete additional assignments.
| true |
Fall
|
Undergraduate
|
4-2-6
|
2.002
| null | false | false | false |
False
|
False
|
False
|
2.701
|
Principles of Naval Architecture
|
Presents principles of naval architecture, ship geometry, hydrostatics, calculation and drawing of curves of form, intact and damage stability, hull structure strength calculations and ship resistance. Introduces computer-aided naval ship design and analysis tools. Projects include analysis of ship lines drawings, calculation of ship hydrostatic characteristics, analysis of intact and damaged stability, ship model testing, and hull structure strength calculations. Students taking graduate version complete additional assignments.
| true |
Fall
|
Graduate
|
4-2-6
|
2.002
| null | false | false | false |
False
|
False
|
False
|
2.702
|
Systems Engineering and Naval Ship Design
|
Introduces principles of systems engineering and ship design with an overview of naval ship design and acquisition processes, requirements setting, formulation of a systematic plan, design philosophy and constraints, formal decision making methods, selection criteria, optimization, variant analysis, trade-offs, analysis of ship design trends, risk, and cost analysis. Emphasizes the application of principles through completion of a design exercise and project.
| true |
Spring
|
Graduate
|
3-3-6
|
2.701
| null | false | false | false |
False
|
False
|
False
|
2.703
|
Principles of Naval Ship Design
|
Covers the design of surface ship platforms for naval applications. Includes topics such as hull form selection and concept design synthesis, topside and general arrangements, weight estimation, and technical feasibility analyses (including strength, stability, seakeeping, and survivability.). Practical exercises involve application of design principles and utilization of advanced computer-aided ship design tools.
| true |
Fall
|
Graduate
|
4-2-6
|
2.082, 2.20, 2.611, and 2.702
| null | false | false | false |
False
|
False
|
False
|
2.704
|
Projects in Naval Ship Conversion Design
|
Focuses on conversion design of a naval ship. A new mission requirement is defined, requiring significant modification to an existing ship. Involves requirements setting, design plan formulation and design philosophy, and employs formal decision-making methods. Technical aspects demonstrate feasibility and desirability. Includes formal written and verbal reports and team projects.
| true |
IAP, Spring
|
Graduate
|
1-6-5
|
2.703
| null | false | false | false |
False
|
False
|
False
|
2.705
|
Projects in New Concept Naval Ship Design
|
Focus on preliminary design of a new naval ship, fulfilling a given set of mission requirements. Design plan formulation, system level trade-off studies, emphasizes achieving a balanced design and total system integration. Formal written and oral reports. Team projects extend over three terms.
| true |
Fall, Spring
|
Graduate
|
rranged
|
2.704
| null | false | false | false |
False
|
False
|
False
|
2.707
|
Submarine Structural Acoustics
|
Introduction to the acoustic interaction of submerged structures with the surrounding fluid. Fluid and elastic wave equations. Elastic waves in plates. Radiation and scattering from planar structures as well as curved structures such as spheres and cylinders. Acoustic imaging of structural vibrations. Students can take 2.085 in the second half of term.
| true |
Spring
|
Graduate
|
2-0-4
|
2.066
| null | false | false | false |
False
|
False
|
False
|
2.708
|
Traditional Naval Architecture Design
|
Week-long intensive introduction to traditional design methods in which students hand draw a lines plan of a N. G. Herreshoff (MIT Class of 1870) design based on hull shape offsets taken from his original design model. After completing the plan, students then carve a wooden half-hull model of the boat design. Covers methods used to develop hull shape analysis data from lines plans. Provides students with instruction in safe hand tool use and how to transfer their lines to 3D in the form of their model. Limited to 15.
| true |
IAP
|
Graduate
|
2-0-1 [P/D/F]
| null | null | false | false | false |
False
|
False
|
False
|
2.71
|
Optics
|
Introduction to optical science with elementary engineering applications. Geometrical optics: ray-tracing, aberrations, lens design, apertures and stops, radiometry and photometry. Wave optics: basic electrodynamics, polarization, interference, wave-guiding, Fresnel and Fraunhofer diffraction, image formation, resolution, space-bandwidth product. Emphasis on analytical and numerical tools used in optical design. Graduate students are required to complete additional assignments with stronger analytical content, and an advanced design project.
| true |
Fall
|
Undergraduate
|
3-0-9
|
(Physics II (GIR), 2.004, and 18.03) or permission of instructor
| null | false | false | false |
False
|
False
|
False
|
2.710
|
Optics
|
Introduction to optical science with elementary engineering applications. Geometrical optics: ray-tracing, aberrations, lens design, apertures and stops, radiometry and photometry. Wave optics: basic electrodynamics, polarization, interference, wave-guiding, Fresnel and Fraunhofer diffraction, image formation, resolution, space-bandwidth product. Emphasis on analytical and numerical tools used in optical design. Graduate students are required to complete additional assignments with stronger analytical content, and an advanced design project.
| true |
Fall
|
Graduate
|
3-0-9
|
(Physics II (GIR), 2.004, and 18.03) or permission of instructor
| null | false | false | false |
False
|
False
|
False
|
2.715[J]
|
Optical Microscopy and Spectroscopy for Biology and Medicine
|
Introduces the theory and the design of optical microscopy and its applications in biology and medicine. The course starts from an overview of basic optical principles allowing an understanding of microscopic image formation and common contrast modalities such as dark field, phase, and DIC. Advanced microscopy imaging techniques such as total internal reflection, confocal, and multiphoton will also be discussed. Quantitative analysis of biochemical microenvironment using spectroscopic techniques based on fluorescence, second harmonic, Raman signals will be covered. We will also provide an overview of key image processing techniques for microscopic data.
| true |
Spring
|
Graduate
|
3-0-9
|
Permission of instructor
|
20.487[J]
| false | false | false |
False
|
False
|
False
|
2.717
|
Optical Engineering
|
Theory and practice of optical methods in engineering and system design. Emphasis on diffraction, statistical optics, holography, and imaging. Provides engineering methodology skills necessary to incorporate optical components in systems serving diverse areas such as precision engineering and metrology, bio-imaging, and computing (sensors, data storage, communication in multi-processor systems). Experimental demonstrations and a design project are included.
| true |
Spring
|
Graduate
|
3-0-9
|
2.710 or permission of instructor
| null | false | false | false |
False
|
False
|
False
|
2.718
|
Photonic Materials
|
Provides a review of Maxwell's equations and the Helmholtz wave equation. Optical devices: waveguides and cavities, phase and group velocity, causality, and scattering. Light-matter interaction in bulk, surface, and subwavelength-structured matter. Effective media, dispersion relationships, wavefronts and rays, eikonal description of light propagation, phase singularities. Transformation optics, gradient effective media. Includes description of the experimental tools for realization and measurement of photonic materials and effects. Students taking graduate version complete additional assignments.
| true |
Spring
|
Undergraduate
|
3-0-9
|
2.003, 8.03, 6.2370, or permission of instructor
| null | false | false | false |
False
|
False
|
False
|
2.719
|
Photonic Materials
|
Provides a review of Maxwell's equations and the Helmholtz wave equation. Optical devices: waveguides and cavities, phase and group velocity, causality, and scattering. Light-matter interaction in bulk, surface, and subwavelength-structured matter. Effective media, dispersion relationships, wavefronts and rays, eikonal description of light propagation, phase singularities. Transformation optics, gradient effective media. Includes description of the experimental tools for realization and measurement of photonic materials and effects. Students taking graduate version complete additional assignments.
| true |
Spring, Fall, Spring
|
Graduate
|
3-0-9
|
2.003, 8.03, 6.2370, or permission of instructor
| null | false | false | false |
False
|
False
|
False
|
2.70
|
FUNdaMENTALS of Precision Product Design
|
Examines design, selection, and combination of machine elements to produce a robust precision system. Introduces process, philosophy and physics-based principles of design to improve/enable renewable power generation, energy efficiency, and manufacturing productivity. Topics include linkages, power transmission, screws and gears, actuators, structures, joints, bearings, error apportionment, and error budgeting. Considers each topic with respect to its physics of operation, mechanics (strength, deformation, thermal effects) and accuracy, repeatability, and resolution. Includes guest lectures from practicing industry and academic leaders. Students design, build, and test a small benchtop precision machine, such as a heliostat for positioning solar PV panels or a two or three axis machine. Prior to each lecture, students review the pre-recorded detailed topic materials and then converge on what parts of the topic they want covered in extra depth in lecture. Students are assessed on their preparation for and participation in class sessions. Students taking graduate version complete additional assignments. Enrollment limited.
| true |
Fall
|
Undergraduate
|
3-3-6
|
2.008
| null | false | false | false |
False
|
False
|
False
|
2.77
|
FUNdaMENTALS of Precision Product Design
|
Examines design, selection, and combination of machine elements to produce a robust precision system. Introduces process, philosophy and physics-based principles of design to improve/enable renewable power generation, energy efficiency, and manufacturing productivity. Topics include linkages, power transmission, screws and gears, actuators, structures, joints, bearings, error apportionment, and error budgeting. Considers each topic with respect to its physics of operation, mechanics (strength, deformation, thermal effects) and accuracy, repeatability, and resolution. Includes guest lectures from practicing industry and academic leaders. Students design, build, and test a small benchtop precision machine, such as a heliostat for positioning solar PV panels or a two or three axis machine. Prior to each lecture, students review the pre-recorded detailed topic materials and then converge on what parts of the topic they want covered in extra depth in lecture. Students are assessed on their preparation for and participation in class sessions. Students taking graduate version complete additional assignments. Enrollment limited.
| true |
Fall, Spring
|
Graduate
|
3-3-6
|
2.008
| null | false | false | false |
False
|
False
|
False
|
2.72
|
Elements of Mechanical Design
|
Advanced study of modeling, design, integration, and best practices for use of machine elements, such as bearings, bolts, belts, flexures, and gears. Modeling and analysis is based upon rigorous application of physics, mathematics, and core mechanical engineering principles, which are reinforced via laboratory experiences and a design project in which students model, design, fabricate, and characterize a mechanical system that is relevant to a real-world application. Activities and quizzes are directly related to, and coordinated with, the project deliverables. Develops the ability to synthesize, model and fabricate a design subject to engineering constraints (e.g., cost, time, schedule). Students taking graduate version complete additional assignments. Enrollment limited.
| true |
Spring
|
Undergraduate
|
3-3-6
|
2.008 and (2.005 or 2.051); Coreq: 2.671
| null | false | false | false |
False
|
False
|
False
|
2.720
|
Elements of Mechanical Design
|
Advanced study of modeling, design, integration, and best practices for use of machine elements, such as bearings, bolts, belts, flexures, and gears. Modeling and analysis is based upon rigorous application of physics, mathematics, and core mechanical engineering principles, which are reinforced via laboratory experiences and a design project in which students model, design, fabricate, and characterize a mechanical system that is relevant to a real-world application. Activities and quizzes are directly related to, and coordinated with, the project deliverables. Develops the ability to synthesize, model and fabricate a design subject to engineering constraints (e.g., cost, time, schedule). Students taking graduate version complete additional assignments.
| true |
Spring
|
Graduate
|
3-3-6
|
Permission of instructor
| null | false | false | false |
False
|
False
|
False
|
2.722[J]
|
D-Lab: Design
|
Addresses problems faced by underserved communities with a focus on design, experimentation, and prototyping processes. Particular attention placed on constraints faced when designing for developing countries. Multidisciplinary teams work on long-term projects in collaboration with community partners, field practitioners, and experts in relevant fields. Topics covered include design for affordability, manufacture, sustainability, and strategies for working effectively with community partners and customers. Students may continue projects begun in EC.701. Enrollment limited by lottery; must attend first class session.
| true |
Spring
|
Undergraduate
|
3-0-9
|
2.670 or permission of instructor
|
EC.720[J]
| false | false | false |
False
|
False
|
False
|
2.7231[J]
|
Introduction to Design Thinking and Innovation in Engineering
|
Introduces students to concepts of design thinking and innovation that can be applied to any engineering discipline. Focuses on introducing an iterative design process, a systems-thinking approach for stakeholder analysis, methods for articulating design concepts, methods for concept selection, and techniques for testing with users. Provides an opportunity for first-year students to explore product or system design and development, and to build their understanding of what it means to lead and coordinate projects in engineering design. Subject can count toward the 6-unit discovery-focused credit limit for first-year students. Enrollment limited to 25; priority to first-year students.
| true |
Fall, Spring
|
Undergraduate
|
2-0-1 [P/D/F]
| null |
6.9101[J], 16.6621[J]
| false | false | false |
False
|
False
|
False
|
2.723A
|
Design Thinking and Innovation Leadership for Engineers
|
Introductory subject in design thinking and innovation. Develops students' ability to conceive, implement, and evaluate successful projects in any engineering discipline. Lessons focus on an iterative design process, a systems-thinking approach for stakeholder analysis, methods for articulating design concepts, methods for concept selection, and techniques for testing with users.
| true |
Fall, Spring
|
Undergraduate
|
2-0-1
| null | null | false | false | false |
False
|
False
|
False
|
2.723B
|
Design Thinking and Innovation Project
|
Project-based subject. Students employ design-thinking techniques learned in 6.902A to develop a robust speech-recognition application using a web-based platform. Students practice in leadership and teamwork skills as they collaboratively conceive, implement, and iteratively refine their designs based on user feedback. Topics covered include techniques for leading the creative process in teams, the ethics of engineering systems, methods for articulating designs with group collaboration, identifying and reconciling paradoxes of engineering designs, and communicating solution concepts with impact. Students present oral presentations and receive feedback to sharpen their communication skills.
| true |
Fall, Spring
|
Undergraduate
|
2-0-1
|
6.910A
| null | false | false | false |
False
|
False
|
False
|
2.729[J]
|
D-Lab: Design for Scale
|
Explores the external factors affecting product development for people in low-resource settings in a project-based context. Students apply existing engineering skills in interdisciplinary teams to identify contextual limitations and develop previously established prototypes towards manufacturing-ready product designs for real-world project sponsors. Topics are presented within the context of the developing world and include technology feasibility and scalability assessment; value chain analysis; product specification; and manufacturing methodologies at various scales. Lessons are experiential and case study-based, taught by instructors with field experience and industry experts from product development consulting firms and the consumer electronics industry. Students taking graduate version complete additional written assignments.
| true |
Fall
|
Undergraduate
|
3-2-7
|
None. Coreq: 2.008; or permission of instructor
|
EC.729[J]
| false | false | false |
False
|
False
|
False
|
2.733
|
Engineering Systems Design
|
Focuses on the design of engineering systems to satisfy stated performance, stability, and/or control requirements. Emphasizes individual initiative, application of fundamental principles, and the compromises inherent in the engineering design process. Culminates in the design of an engineering system, typically a vehicle or other complex system. Includes instruction and practice in written and oral communication through team presentation, design reviews, and written reports. Students taking graduate version complete additional assignments. Enrollment may be limited due to laboratory capacity.
| true |
Fall
|
Graduate
|
0-6-6
|
(2.001, 2.003, (2.005 or 2.051), and (2.00B, 2.670, or 2.678)) or permission of instructor
| null | false | false | false |
False
|
False
|
False
|
2.734
|
Engineering Systems Development
|
Focuses on the implementation and operation of engineering systems. Emphasizes system integration and performance verification using methods of experimental inquiry. Students refine their subsystem designs and the fabrication of working prototypes. Includes experimental analysis of subperformance and comparison with physical models of performance and with design goals. component integration into the full system, with detailed analysis and operation of the complete vehicle in the laboratory and in the field. Includes written and oral reports. Students carry out formal reviews of the overall system design. Instruction and practice in oral and written communication provided. Students taking graduate version complete additional assignments. Enrollment may be limited due to laboratory capacity.
| true |
Spring
|
Graduate
|
0-6-6
|
(2.001, 2.003, (2.005 or 2.051), and (2.00B, 2.670, or 2.678)) or permission of instructor
| null | false | false | false |
False
|
False
|
False
|
2.737
|
Mechatronics
|
Introduction to designing mechatronic systems, which require integration of the mechanical and electrical engineering disciplines within a unified framework. Significant laboratory-based design experiences form subject's core. Final project. Topics include: low-level interfacing of software with hardware; use of high-level graphical programming tools to implement real-time computation tasks; digital logic; analog interfacing and power amplifiers; measurement and sensing; electromagnetic and optical transducers; control of mechatronic systems. Limited to 20.
| true |
Fall
|
Graduate
|
3-5-4
|
6.2000 and (2.14, 6.3100, or 16.30)
| null | false | false | false |
False
|
False
|
False
|
2.739[J]
|
Product Design and Development
|
Covers modern tools and methods for product design and development. Includes a cornerstone project in which teams conceive, design and prototype a physical product and/or service. Covers human-centered design, agile development, product planning, identifying customer needs, concept generation, product architecture, industrial design, concept design, green design methods, and product management. Sloan students register via Sloan course bidding. Engineering students accepted via lottery based on WebSIS pre-registration.
| true |
Spring
|
Graduate
|
3-3-6
|
2.009, 15.761, 15.778, 15.814, or permission of instructor
|
15.783[J]
| false | false | false |
False
|
False
|
False
|
2.74
|
Bio-inspired Robotics
|
Interdisciplinary approach to bio-inspired design, with emphasis on principle extraction applicable to various robotics research fields, such as robotics, prosthetics, and human assistive technologies. Focuses on three main components: biomechanics, numerical techniques that allow multi-body dynamics simulation with environmental interaction and optimization, and basic robotics techniques and implementation skills. Students integrate the components into a final robotic system project of their choosing through which they must demonstrate their understanding of dynamics and control and test hypothesized design principles. Students taking graduate version complete additional assignments. Enrollment may be limited due to laboratory capacity.
| true |
Fall
|
Undergraduate
|
3-1-8
|
2.004 or permission of instructor
| null | false | false | false |
False
|
False
|
False
|
2.740
|
Bio-inspired Robotics
|
Interdisciplinary approach to bio-inspired design, with emphasis on principle extraction applicable to various robotics research fields, such as robotics, prosthetics, and human assistive technologies. Focuses on three main components: biomechanics, numerical techniques that allow multi-body dynamics simulation with environmental interaction and optimization, and basic robotics techniques and implementation skills. Students integrate the components into a final robotic system project of their choosing through which they must demonstrate their understanding of dynamics and control and test hypothesized design principles. Students taking graduate version complete additional assignments. Enrollment may be limited due to lab capacity.
| true |
Fall
|
Graduate
|
3-3-6
|
2.004 or permission of instructor
| null | false | false | false |
False
|
False
|
False
|
2.744
|
Product Design
|
Project-centered subject addressing transformation of ideas into successful products which are properly matched to the user and the market. Students are asked to take a more complete view of a new product and to gain experience with designs judged on their aesthetics, ease of use, and sensitivities to the realities of the marketplace. Lectures on modern design process, industrial design, visual communication, form-giving, mass production, marketing, and environmentally conscious design.
| true |
Spring
|
Graduate
|
3-0-9
|
2.009
| null | false | false | false |
False
|
False
|
False
|
2.75[J]
|
Medical Device Design
|
Provides an intense project-based learning experience around the design of medical devices with foci ranging from mechanical to electro mechanical to electronics. Projects motivated by real-world clinical challenges provided by sponsors and clinicians who also help mentor teams. Covers the design process, project management, and fundamentals of mechanical and electrical circuit and sensor design. Students work in small teams to execute a substantial term project, with emphasis placed upon developing creative designs — via a deterministic design process — that are developed and optimized using analytical techniques. Includes mandatory lab. Instruction and practice in written and oral communication provided. Students taking graduate version complete additional assignments. Enrollment limited.
| true |
Spring
|
Graduate
|
3-3-6
|
2.008, 6.2040, 6.2050, 6.2060, 22.071, or permission of instructor
|
6.4861[J], HST.552[J]
| false | false | false |
False
|
False
|
False
|
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