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The Digi-Key Continuing Education Center, presented by Design News, is a well-established program with an extensive archive of content at your disposal. View any previous course by simply navigating through previous semester content and selecting the course of your choosing.
The CEC will get you up to speed quickly on a host of technologies you've been meaning to study via a series of 45-minute online lessons taught by our faculty of expert tutors.
The object of today’s lecture is to introduce you to an easy to use mesh network implementation. DigiMesh is a proprietary wireless mesh networking topology developed by Digi’s RF engineering experts which allows for time synchronized sleeping...
MicroPython is a popular scaled-down version of Python that is designed to run on microcontrollers. Today’s lecture will consist of MicroPython code segments performing various tasks on and around various XBee modules. This lecture will also look...
The lecture series will begin with an examination of the available XBee development tools. Development tools provided by Digi will be utilized to configure and exercise various XBee radio modules. Development tools that are useful in XBee...
Application tracing is one of the most fundamental and important techniques that every developer should be using. In this session, we will examine the benefits to using tracing and how developers can use it to monitor RTOS tasks, state machines...
In this class, we pull together the lessons learned in the previous sessions to come up with a general approach to the problem. We will demonstrate how systems can be developed and discuss some of the tools that will prove useful. This includes...
Understanding the types of sensors involved is critical. Each type of sensor contains different information and covers a different spatial range. By layering sensors in an intelligent way, we can develop the picture required for the task at hand.
Many types of algorithms can be used in multi-sensor data fusion. Many are statistical, but not all. In this class, we will discuss the types of algorithms available.
In this class, we will review the sensor fusion problem and lay out requirements. The use of multiple, heterogeneous sensors requires more processing and is more complex than situations using a single sensor type.
The modern development cycle is often short on time and budgets which leaves developers scrambling. Developers who are scrambling often make mistakes which just exacerbates the problem. In this session, we are going to examine modern techniques...