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  • Courseware 
    Solid-State Circuits

    Solid-State Circuits

    This is a course in analog circuit analysis and design. It covers the tools and methods necessary for the creative design of useful circuits using active devices. The class stresses insight and intuition, applied to the design of transistor circuits and the estimation of their performance. It concentrates on circuits using the bipolar junction transistor, but the techniques that we study can be equally applied to circuits using JFETs, MOSFETs, MESFETs, future exotic devices, or even vacuum tubes.

    Subjects:
    Electrical Engineering
    Keywords:
    Analog integrated circuits Linear integrated circuits
    Resource Type:
    Courseware
     
  • Courseware 
    Electromagnetics and Applications

    Electromagnetics and Applications

    This course explores electromagnetic phenomena in modern applications, including wireless and optical communications, circuits, computer interconnects and peripherals, microwave communications and radar, antennas, sensors, micro-electromechanical systems, and power generation and transmission. Fundamentals include quasistatic and dynamic solutions to Maxwell's equations; waves, radiation, and diffraction; coupling to media and structures; guided waves; resonance; acoustic analogs; and forces, power, and energy.

    Subjects:
    Electrical Engineering
    Keywords:
    Electromagnetism
    Resource Type:
    Courseware
     
  • Courseware 
    Materials Processing

    Materials Processing

    This course is focused on physical understanding of materials processing, and the scaling laws that govern process speed, volume, and material quality. In particular, this course will cover the transport of heat and matter as these topics apply to materials processing.

    Subjects:
    Mechanical Engineering and Materials Science
    Keywords:
    Mass transfer Heat -- Transmission Transport theory Manufacturing processes Fluid mechanics
    Resource Type:
    Courseware
     
  • Courseware 
    Elements of Mechanical Design

    Elements of Mechanical Design

    This is an advanced course on modeling, design, integration and best practices for use of machine elements such as bearings, springs, gears, cams and mechanisms. Modeling and analysis of these elements is based upon extensive application of physics, mathematics and core mechanical engineering principles (solid mechanics, fluid mechanics, manufacturing, estimation, computer simulation, etc.).

    Subjects:
    Mechanical Engineering
    Keywords:
    Engineering design Machine design
    Resource Type:
    Courseware
     
  • Courseware 
    Mechatronics

    Mechatronics

    This course is an introduction to designing mechatronic systems, which require integration of the mechanical and electrical engineering disciplines within a unified framework. There are significant laboratory-based design experiences. Topics covered in the course 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.

    Subjects:
    Mechanical Engineering
    Keywords:
    Mechatronics
    Resource Type:
    Courseware
     
  • Courseware 
    Internal Combustion Engines

    Internal Combustion Engines

    This course studies the fundamentals of how the design and operation of internal combustion engines affect their performance, efficiency, fuel requirements, and environmental impact. Topics include fluid flow, thermodynamics, combustion, heat transfer and friction phenomena, and fuel properties, with reference to engine power, efficiency, and emissions.

    Subjects:
    Mechanical Engineering
    Keywords:
    Internal combustion engines
    Resource Type:
    Courseware
     
  • Courseware 
    Numerical Fluid Mechanics

    Numerical Fluid Mechanics

    This course is an introduction to numerical methods and MATLAB®: Errors, condition numbers and roots of equations. Topics covered include 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; and Lagrangian coherent structures (LCSs).

    Subjects:
    Mechanical Engineering
    Keywords:
    Fluid mechanics
    Resource Type:
    Courseware
     
  • Courseware 
    Principles and Practice of Assistive Technology

    Principles and Practice of Assistive Technology

    This is an interdisciplinary, project-based course, centered around a design project in which small teams of students work closely with a person with a disability in the Cambridge area to design a device, piece of equipment, app, or other solution that helps them live more independently.

    Subjects:
    Biomedical Engineering, Mechanical Engineering, Rehabilitation Sciences, Computing, and Electrical Engineering
    Keywords:
    Self-help devices for people with disabilities
    Resource Type:
    Courseware
     
  • Courseware 
    Neurotechnology in Action

    Neurotechnology in Action

    This course explores cutting-edge neurotechnology that is essential for advances in all aspects of neuroscience, including improvements in existing methods as well as the development, testing and discussion of completely new paradigms. Readings and in-class sessions cover the fields of electrophysiology, light microscopy, cellular engineering, optogenetics, electron microscopy, MRI / fMRI, and MEG / EEG.

    Subjects:
    Biomedical Engineering and Biology
    Keywords:
    Neurotechnology (Bioengineering)
    Resource Type:
    Courseware
     
  • Courseware 
    Biomedical Signal and Image Processing

    Biomedical Signal and Image Processing

    This course presents the fundamentals of digital signal processing with particular emphasis on problems in biomedical research and clinical medicine. It covers principles and algorithms for processing both deterministic and random signals. Topics include data acquisition, imaging, filtering, coding, feature extraction, and modeling. The focus of the course is a series of labs that provide practical experience in processing physiological data, with examples from cardiology, speech processing, and medical imaging. The labs are done in MATLAB® during weekly lab sessions that take place in an electronic classroom. Lectures cover signal processing topics relevant to the lab exercises, as well as background on the biological signals processed in the labs.

    Subjects:
    Biomedical Engineering and Medical Imaging
    Keywords:
    Biomedical engineering Signal processing Image processing
    Resource Type:
    Courseware