![]() ![]() Module 1 covers circuit simulation using several open-source projects and simulation methods for simulating transient response of circuits as well as frequency-domain response of filters. There are many excellent commercial applications available in these areas, however to give everyone access we'll be using all free and open-source software.īy the end of this course you should feel comfortable using free and open-source software to design your own printed circuit board and any bracketry or case to hold it, customized for your application. Specifically, this course focuses on four areas: circuit simulation, schematic entry, PCB layout, and 3D CAD modeling. This is course 4 of this specialization (although it can be taken out of order) and focuses on applying experience and knowledge gained in the first three courses to build physical electronics hardware. ![]() Lastly, we borrow from the fields of data science, statistics, and digital signal processing, to post-process our data in Python. We study methods of interfacing analog sensors with your Raspberry Pi (or other platform) with amplifiers and the theory and technique involved in reducing noise with spectral filters. We also discuss accuracy, precision, and how to understand uncertainty in your measurements. Some of the ideas covered include calibrating sensors and the trade-offs between different mathematical methods of storing and applying calibration curves to your sensors. This method allows you to use these concepts in your projects to build highly customized sensors for your applications. This course focuses on core concepts and techniques in designing and integrating any sensor, rather than overly specific examples to copy. Although some material and explanations from the prior two courses are used, this course largely assumes no prior experience with sensors or data processing other than ideas about your own projects and an interest in building projects with sensors. This course on integrating sensors with your Raspberry Pi is course 3 of a Coursera Specialization and can be taken separately or as part of the specialization. These five rules of thumb, combined with the experience from earlier modules, help you estimate spectral bandwidth of signals, rise time, and gain insights whether you're troubleshooting a broken design or designing something new. Now, with our knowledge of signals, Module 4 develops five rules of thumb for designing your circuits so that your high-speed signals work the first time. These are "signal integrity" concepts, distilled to what you need for your Raspberry Pi projects. Module 3 flips your thinking from the time-domain to the frequency-domain to examine the frequency components of signals and understand how unintended filtering in your circuits distorts your digital waveforms. Then, to build a deep and intuitive understanding of how circuits send and receive these signals, Module 2 explores the physics of high-frequency signals in an easy-to-follow way. ![]() We start with a review of common signal protocols available. I hope you enjoy all the courses and I hope you take your builds to the next level.Ĭourse two of this specialization is all about hardware physical layer and communication between elements of your project, how to troubleshoot high-speed signals when they don't work, and how to design your projects so they do work. After these four modules you'll get started building your own projects right away, and the three follow-on courses in this Coursera specialization dive into each area to really boost your skills and the complexity of your projects. The course is divided into four modules to explore each focus area with demontrations and extras along the way: 1) installing and configuring a Raspberry Pi, 2) accessing the Raspberry Pi over the network, 3) programmatically controlling external sensors and motors, and 4) accessing the embedded device through a web interface. No experience in embedded systems, programming, or electronics is assumed, and optional bonus sections are provided for those who want a fast start in Python programming, Linux essentials, and basic electronics. Want to build your own Internet of Things (IoT) device? Home automation? Robotics? This is the class to learn how it all works, to get you building on your own. We'll use the Raspberry Pi as an "embedded system" (as opposed to a desktop computer) so you're ready to build a Raspberry Pi into your projects as the brains that make it all work. We'll explore all the parts which make this work, so you can use this experience as a foundation for your own projects. In this course you will use a Raspberry Pi 4 to build a complete network-connected project with sensors and motors and access it from your smartphone. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |