1. Major Category: Computer Science
2. Duration: 4 years
3. Degree: Bachelor of Engineering
4. Courses:
Core Courses: Introduction to the Major, Fundamentals of Circuit Analysis, Embedded C Programming, Electronic Technology and Applications, Microcontroller Technology and Applications, Computer Network Technology, Data Structures and Algorithms, Basics of Linux Operating System, Database Technology and Applications, Python and Basics of Artificial Intelligence.Core Professional Courses: Embedded Microcontroller Application Development, Sensor Technology and Applications, Embedded Real-Time Operating Systems, Smart Interconnected Communication Technology Applications, Embedded Linux Driver Development, Embedded Linux Application Development, Android Embedded Application Development, Embedded Visual Recognition Technology and Applications, Embedded AI and Edge Computing Technology Applications, Intelligent Embedded System Design and Development, Embedded Software Testing Technology.
5. Employment:
Embedded product design and development, manufacturing, system integration, etc.
6. Overview:
Embedded technology showcases a unique aesthetic of deep integration between hardware and software. Unlike traditional computer science, embedded engineers must be proficient in both software programming, such as C language, and hardware knowledge, such as circuit design. Their workbenches often feature both oscilloscopes and code editors. This dual-skill requirement creates a new type of engineer—one who can hear the flow of programs on silicon chips and see the dance of currents between logic gates. When software algorithms produce physical motion through hardware execution, this transformation from virtual to real constitutes the most fascinating knowledge landscape of embedded technology.
The innovations in this field exhibit distinct characteristics of vertical integration. From the underlying chip architecture design to the middle layer of real-time operating systems (RTOS), and up to the application development layer, embedded technology breaks the traditional IT industry’s clearly defined hierarchical structure. ARM, by designing chip architectures rather than directly producing chips, dominates over 95% of the global smartphone processor market; embedded development platforms like Raspberry Pi have handed the power of system-level innovation to ordinary developers. This full-stack technology system requires learners to build a multidimensional knowledge network and provides a broader space for innovation.
Embedded technology is becoming the core infrastructure of the Internet of Things era. Intelligent robots in Industry 4.0, traffic signal systems in smart cities, and biosensors in wearable devices all rely on the precise control of embedded systems. According to statistics, 98% of the processors produced globally each year are used in embedded systems rather than personal computers. These “digital neurons” hidden behind everyday life form the conversion layer between the physical world and the information world, as important as internet protocols are to the network world. With the rise of edge computing, embedded devices are evolving from simple execution terminals to intelligent nodes with local decision-making capabilities.
