Coursera - Embedding Sensors and Motors Specialization

Posted on 16 Sep 09:01 | by huayting | 24 views
Coursera - Embedding Sensors and Motors Specialization
Coursera - Embedding Sensors and Motors Specialization
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 20h 24m | Size: 2.6 GB

Experience Sensors and Motors in an IoT World. Master sensor and motor theory, and program these devices in a microprocessor system

WHAT YOU WILL LEARN
Study a lab experiment or production process and understand how to specify the proper sensor solution for taking real-time process data
Implement the sensor into an embedded system in both hardware and software
Modify existing hardware schematic to add sensors and all support circuitry needed to implement the signal chain in existing microprocessor system
Create hardware and firmware to process the sensor signal and feed data to a microprocessor for further evaluation
SKILLS YOU WILL GAIN
sensor integration
firmware
motor design
embedded engineering
hardware
Analog hardware
Pressure and force sensors
Sensor architecture
PSoc Programming
Circuit Design
Sensor manufacturing
PID control
About this Specialization
5,859 recent views
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.
Applied Learning Project
You will create hardware and firmware solutions for sensors and motors that take real-time data and process it within an embedded environment. You will measure and record metrology data with oscilloscope traces and use the tools within the embedded system to amplify, filter and optimize the signals.
Homepage

https://anonymz.com/?
https://www.coursera.org/specializations/embedding-sensors-motors]https://anonymz.com/?
https://www.coursera.org/specializations/embedding-sensors-motors



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