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  • 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
     
  • Courseware 
    Molecular, Cellular, and Tissue Biomechanics

    Molecular, Cellular, and Tissue Biomechanics

    This course develops and applies scaling laws and the methods of continuum and statistical mechanics to biomechanical phenomena over a range of length scales, from molecular to cellular to tissue or organ level.

    Subjects:
    Biomedical Engineering and Biology
    Keywords:
    Biomedical engineering Biomechanics
    Resource Type:
    Courseware
     
  • Courseware 
    CS229 - Machine Learning

    CS229 - Machine Learning

    This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (clustering, dimensionality reduction, kernel methods); learning theory (bias/variance tradeoffs; VC theory; large margins); reinforcement learning and adaptive control. The course will also discuss recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing.

    Subjects:
    Computing
    Keywords:
    Pattern perception -- Statistical methods Machine learning
    Resource Type:
    Courseware
     
  • Courseware 
    CS223A - Introduction to Robotics

    CS223A - Introduction to Robotics

    The purpose of this course is to introduce you to basics of modeling, design, planning, and control of robot systems. In essence, the material treated in this course is a brief survey of relevant results from geometry, kinematics, statics, dynamics, and control. The course is presented in a standard format of lectures, readings and problem sets.

    Subjects:
    Mechanical Engineering
    Keywords:
    Robotics
    Resource Type:
    Courseware
     
  • Courseware 
    User Interface Design and Implementation

    User Interface Design and Implementation

    This course examines human-computer interaction in the context of graphical user interfaces. The course covers human capabilities, design principles, prototyping techniques, evaluation techniques, and the implementation of graphical user interfaces. Deliverables include short programming assignments and a semester-long group project. Students taking the graduate version also have readings from current literature and additional assignments.

    Subjects:
    Computing
    Keywords:
    Human-computer interaction User interfaces (Computer systems)
    Resource Type:
    Courseware
     
  • Courseware 
    Design and Analysis of Algorithms

    Design and Analysis of Algorithms

    This is an intermediate algorithms course with an emphasis on teaching techniques for the design and analysis of efficient algorithms, emphasizing methods of application. Topics include divide-and-conquer, randomization, dynamic programming, greedy algorithms, incremental improvement, complexity, and cryptography.

    Subjects:
    Computing
    Keywords:
    Algorithms
    Resource Type:
    Courseware
     
  • Courseware 
    Artificial Intelligence

    Artificial Intelligence

    This course includes interactive demonstrations which are intended to stimulate interest and to help students gain intuition about how artificial intelligence methods work under a variety of circumstances.

    Subjects:
    Computing
    Keywords:
    Artificial intelligence
    Resource Type:
    Courseware
     
  • Courseware 
    Computer Systems Security

    Computer Systems Security

    6.858 Computer Systems Security is a class about the design and implementation of secure computer systems. Lectures cover threat models, attacks that compromise security, and techniques for achieving security, based on recent research papers. Topics include operating system (OS) security, capabilities, information flow control, language security, network protocols, hardware security, and security in web applications.

    Subjects:
    Computing
    Keywords:
    Data protection Computer security Computer networks -- Security measures Data encryption (Computer science)
    Resource Type:
    Courseware
     
  • Courseware 
    ESD.60 Lean/Six Sigma Processes

    ESD.60 Lean/Six Sigma Processes

    Students of this course will develop a broad understanding of Lean/Six Sigma principles and practices, build capability to implement Lean/Six Sigma initiatives in manufacturing operations, and learn to operate with awareness of Lean/Six Sigma at the enterprise level. All course materials are organized around a common "single-point lesson" (SPL) format, with some of the SPLs provided by the instructor and guests and with some developed and delivered by student teams.

    Subjects:
    Management and Computing
    Keywords:
    Quality control Six sigma (Quality control stard)
    Resource Type:
    Courseware
     
    OER
  • Courseware 
    ENGR 100: Introduction to Engineering: Design in the Real World

    ENGR 100: Introduction to Engineering: Design in the Real World

    Currently offered in Fall and Winter semesters at the University of Michigan College of Engineering (Ann Arbor, MI), this survey course provides a general introduction to the engineering design process – spanning core topics from problem definition through prototyping and testing, as well as other important considerations such as sustainability, failure analysis, and engineering economics. In some semesters, select lectures have been delivered via screencast prior to class, with corresponding lecture times then involving a complementary or a reinforcing activity. This particular Section of Engineering 100 emphasizes multidisciplinary design, entrepreneurship, and benefitting people's quality of life.

    Keywords:
    Engineering design
    Resource Type:
    Courseware
     
  • Courseware 
    Advanced Device Physics

    Advanced Device Physics

    This course will focus for a large part on MOSFET and CMOS, but also on heterojunction BJT, and photonic devices.First non-ideal characteristics of MOSFETs will be discussed, like channel-length modulation and short-channel effects. We will also pay attention to threshold voltage modification by varying the dopant concentration. Further, MOS scaling will be discussed. A combination of an n-channel and p-channel MOSFET is used for CMOS devices that form the basis for current digital technology. The operation of a CMOS inverter will be explained. We will explain in more detail how the transfer characteristics relate to the CMOS design.

    Subjects:
    Electrical Engineering
    Keywords:
    Metal oxide semiconductors Complementary Semiconductors Metal oxide semiconductor field-effect transistors Electronic circuit design
    Resource Type:
    Courseware
     
  • Courseware 
    Data Analysis: Take it to the MAX

    Data Analysis: Take it to the MAX

    This course is for all of those struggling with data analysis. You will learn: - Overcome data analysis challenges in your work and research - Increase your productivity and make better business decisions - Enhance your data analysis skills using spreadsheets - Learn about advanced spreadsheet possibilities like array formulas and pivottables - Learn about Excel 2013 features like PowerPivot & PowerMap - Learn to organize and test your spreadsheets

    Subjects:
    Computing
    Keywords:
    Electronic spreadsheets -- Computer programs Visual analytics Python (Computer program language) Information visualization Microsoft Excel (Computer file)
    Resource Type:
    Courseware
     
  • Courseware 
    Electronic Power Conversion

    Electronic Power Conversion

    This course is an introduction to power electronics. First the principles of power conversion with switching circuits are treated as well as main applications of power electronics. Next the basic circuits of power electronics are explained, including ac-dc converters (diode rectifiers), dc-dc converters (non-isolated and isolated) and dc-ac converters (inverters). Related issues such as pulse width modulation, methods of analysis, voltage distortion and power quality are treated in conjunction with the basic circuits. The main principles of operation of most commonly used power semiconductor switches are explained. Finally, the role of power electronics in sustainable energy future, including renewable energy systems and energy efficiency is discussed.

    Subjects:
    Electrical Engineering
    Keywords:
    Electronic circuits Power electronics
    Resource Type:
    Courseware
     
  • Courseware 
    Electronic Instrumentation

    Electronic Instrumentation

    This course is a basic course on Instrumentation and Measurement. Firstly, the detection limit in a typical instrument for measurement of an electrical quantity is determined for: offset, finite common-mode rejection, noise and interference. The dominant source of uncertainty is identified and the equivalent input voltage/current sources are calculated. Secondly, the measurement of a non-electrical quantity is discussed. In this case the detection limit should be expressed in terms of the non-electrical input parameter of interest. Issues discussed are: (cross-)sensitivities in frequently used transduction effects, non-electrical source loading and noise in the non-electrical signal domain. Coupled domain formal modeling is subsequently introduced to facilitate analytical multi-domain system analysis. Finally, the detection limit in typical applications in the mechanical, thermal, optical and magnetic signal domain are analysed, along with circuit and system techniques to maximize overall system detectivity. The tools that are introduced in the course, such as the formal modeling and the calculation of the detection limit, are applied in the mid-term project to a real-world measurement problem.

    Subjects:
    Electrical Engineering
    Keywords:
    Electronic instruments Electronic measurements
    Resource Type:
    Courseware