Embedded Sense for IoT Systems

This is the second course in a 3 course series at IOT node level. Sense is one of the key functionalities any embedded system possesses for fetching the data from the real world. The course will start with an introduction to Software engineering for Embedded Systems, covers concepts of concurrency, GPIO’s, analog interfacing, timers, programming techniques for power-efficient computing, dynamic memory access (DMA) and most importantly serial communication (UART, SPI, I2C…) used for interfacing the controller with the sensors

What is the objective of this course?
This is the second course in a 3 course series at IOT node level. Sense is one of the key functionalities any embedded system possesses for fetching the data from the real world. The course will start with an introduction to Software engineering for Embedded Systems, covers concepts of concurrency, GPIO’s, analog interfacing, timers, programming techniques for power-efficient computing, dynamic memory access (DMA) and most importantly serial communication (UART, SPI, I2C…) used for interfacing the controller with the sensors. The other 2 courses in this series will cover “Compute” i.e. compute/ processing functionality of IOT nodes and “Connect” i.e., connectivity capability of IoT nodes.

Explain various software engineering methodologies that are useful while developing a software or a system
Explain concurrency and various scheduling concepts
Discuss concepts of GPIO's and its low-level drivers
Explain the concepts of analog to digital and digital to analog conversion; working of an ADC
Describe the timer module and explain interrupt timer and PWM
Discuss serial communication and common protocols like UART, SPI & I2C
Discuss high-level and low-level techniques involved in programming for power-efficient computing
To design and develop IoT node level based devices
To employ software engineering processes while building embedded systems
To understand concepts of concurrency
To work with GPIO's, timer module, and serial communication
To employ programming techniques for power-efficient computing
Hands-on lab experience by executing the exercises on the hardware

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