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Updated in [April 29th, 2023]
This course provides an introduction to embedded Linux systems and the Raspberry Pi. Students will learn how to create an embedded Linux system that will run in Qemu, as well as create various types of embedded Linux systems for the Raspberry Pi. Additionally, students will learn how to set up Netbeans on the Raspberry Pi for remote development, and configure Qt Creator on the Raspberry Pi for remote development. By the end of the course, students will have a working embedded Linux system running on the Raspberry Pi.
[Applications]
The application of this course can be seen in the development of embedded Linux systems for the Raspberry Pi. Students can use the knowledge gained from this course to create various types of embedded Linux systems for the Raspberry Pi. Additionally, students can use the skills learned to set up Netbeans and Qt Creator on the Raspberry Pi for remote development.
[Career Paths]
1. Embedded Software Engineer: Embedded software engineers are responsible for developing and maintaining software for embedded systems. They must have a strong understanding of hardware and software, as well as the ability to troubleshoot and debug complex systems. With the increasing popularity of the Raspberry Pi, embedded software engineers are in high demand as they are able to develop and maintain software for the Raspberry Pi.
2. Robotics Engineer: Robotics engineers are responsible for designing, building, and testing robots. They must have a strong understanding of electronics, mechanics, and computer science. With the Raspberry Pi, robotics engineers can create robots that are capable of performing complex tasks. As the demand for robots increases, robotics engineers are in high demand.
3. IoT Developer: IoT developers are responsible for developing and maintaining applications for the Internet of Things (IoT). They must have a strong understanding of hardware, software, and networking. With the Raspberry Pi, IoT developers can create applications that can interact with the physical world. As the demand for IoT applications increases, IoT developers are in high demand.
4. AI Developer: AI developers are responsible for developing and maintaining applications for artificial intelligence (AI). They must have a strong understanding of machine learning, deep learning, and natural language processing. With the Raspberry Pi, AI developers can create applications that can interact with the physical world and make decisions based on data. As the demand for AI applications increases, AI developers are in high demand.
[Education Paths]
1. Computer Science Degree: A computer science degree is a great way to learn the fundamentals of programming, computer architecture, and software engineering. With a computer science degree, you can develop the skills necessary to create embedded Linux systems for the Raspberry Pi. Additionally, you can learn the latest trends in software development, such as artificial intelligence and machine learning.
2. Electrical Engineering Degree: An electrical engineering degree is a great way to learn the fundamentals of electronics and electrical engineering. With an electrical engineering degree, you can learn how to design and build embedded Linux systems for the Raspberry Pi. Additionally, you can learn the latest trends in electronics, such as Internet of Things (IoT) and robotics.
3. Computer Engineering Degree: A computer engineering degree is a great way to learn the fundamentals of computer engineering and embedded systems. With a computer engineering degree, you can learn how to design and build embedded Linux systems for the Raspberry Pi. Additionally, you can learn the latest trends in embedded systems, such as real-time operating systems and embedded software development.
4. Robotics Degree: A robotics degree is a great way to learn the fundamentals of robotics and embedded systems. With a robotics degree, you can learn how to design and build embedded Linux systems for the Raspberry Pi. Additionally, you can learn the latest trends in robotics, such as autonomous navigation and artificial intelligence.
Course Syllabus
Preparing the Host Computer
Running the Test Image
Building the Basic Console Image for the Raspberry Pi
Building the Qt5 Basic Image
Running the Qt5 Basic Image
