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Embedding Sensors and Motors
Coursera Master's Degree 0

Embedding Sensors and Motors

About this course

The courses in this specialization can also be taken for academic credit as ECEA 5340-5343, part of CU Boulder’s Master of Science in Electrical Engineering degree. Enroll here. Embedding Sensors and Motors will introduce you to the design of sensors and motors, and to methods that integrate them into embedded systems used in consumer and industrial products. You will gain hands-on experience with the technologies by building systems that take sensor or motor inputs, and then filter and evaluate the resulting data. You will learn about hardware components and firmware algorithms needed to configure and run sensors and motors in embedded solutions.

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82/100

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16/20

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What you'll learn

  • Design sensors and motors for embedded systems
  • Integrate sensors and motors into consumer and industrial products
  • Build systems that take sensor or motor inputs and process the data
  • Filter and evaluate data from sensors and motors
  • Configure hardware components for embedded solutions
  • Develop firmware algorithms to run sensors and motors

Course objectives

  • Introduce students to sensor and motor design principles
  • Provide hands-on experience with sensor and motor integration
  • Teach hardware configuration methods for embedded systems
  • Develop skills in firmware algorithm development for sensors and motors
Electrical Engineering #data processing #embedded systems #sensors #motors #firmware development #hardware design #sensor integration #motor control #signal filtering #embedded hardware #sensor configuration #motor configuration #consumer electronics #industrial systems #embedded algorithms
$79.00

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