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  • 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 
    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 
    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 
    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 
    Data Analysis: Visualization and Dashboard Design

    Data Analysis: Visualization and Dashboard Design

    This course covers the main tasks required from data analysts today, including importing, summarizing, interpreting, analyzing and visualizing data. It aims to equip you with the tools that will enable you to be an independent data analyst. Most techniques will be taught in Excel with add-ons and free tools available online. You will learn: - How to make data come to life with well-known types of visualizations such as line and bar graphs and new types of visualizations such as spark lines, contour plots and population pyramids. - How to create dashboards in Excel based on live data that can meet managerial and business needs. - How to connect data from different sources, such as the web and exports from your CRM, ERP, SAP or data warehouse. - Some hands-on data science and how to use actionable analysis tools. - Deep dive into known tools like PivotTables and introduce new ones like the analysis toolpak

    Subjects:
    Computing
    Keywords:
    Visual analytics Information visualization Industrial management -- Data processing Dashboards (Management information systems) Microsoft Excel (Computer file)
    Resource Type:
    Courseware
     
  • Courseware 
    System Validation

    System Validation

    The purpose of this course is to learn how to specify the behavior of embedded systems and to experience the design of a provably correct system. In this course you will learn how to formally specify requirements and to prove (or disprove) them on the behaviour. With a practical assignment you will experience how to apply the techniques in practice.

    Subjects:
    Computing
    Keywords:
    Embedded computer systems
    Resource Type:
    Courseware