Embedded technology serves as a foundational technical layer of the digital era and intelligent life. It is widely applied in national strategic emerging industries such as intelligent hardware, the Internet of Things (IoT), industrial control, edge computing, and embedded artificial intelligence. To further advance the New Engineering Education initiative and interdisciplinary talent training, our School draws on the strong disciplinary foundation and high-quality teaching resources of the National First-Class Undergraduate Program in Electronic and Information Engineering, and in partnership with Huawei Technologies Co., Ltd., deepens educational innovation and industry–education integration to launch the Intensive Learning Micro-major in Embedded Systems and Intelligent Terminals, open to undergraduate students university-wide from majors outside electronic and information engineering. Following the Ministry of Education's standards and specifications for micro-major development, the program adopts in-person, project-based hands-on instruction as its core delivery mode and is designed to help students refine their knowledge structure, strengthen engineering-practice skills, and broaden their paths for career development, innovation, and entrepreneurship.

Training Objectives

        This micro-major is open to students from all majors, including those with no prior background in the subject. Guided by the educational philosophy of "learning by doing, by practicing and creating", it trains students in core technical skills across embedded C programming, microcontroller applications, and IoT system design, embedded system architecture, edge computing, and embedded AI development. Backed by the faculty of the National First-Class Undergraduate Program, Huawei's industry-frontier resources, and a full-chain training platform, the program enables students to acquire practical skills directly applicable to engineering development, academic competitions, and employment, cultivating interdisciplinary technical professionals with a cross-disciplinary perspective and the capacity for innovation and hands-on practice.

Core Courses (Project-based)

        The micro-major consists of three high-quality project-based core courses, delivered progressively across two semesters:

        1. Embedded C Programming (Introduction to Arduino Making): Building on an open-source hardware platform, this course consolidates the fundamentals of embedded C programming, engages students in creative maker projects, and develops an engineering mindset for hardware–software co-development.

        2. Principles of Single-Chip Microcomputers (Hands-on IoT Modules): This course systematically covers microcontroller principles and interface technology and provides engineering-oriented training on IoT sensing, communication, and control modules, enabling students to develop intelligent terminals and IoT application systems.

        3. Embedded Systems: Covering 32-bit processors, real-time operating systems (RTOS), NVIDIA edge-computing platforms, and embedded AI development boards, this course aligns closely with Huawei's industrial technical standards and application scenarios, and organizes integrated project development for complex embedded systems and intelligent edge devices.

Program Strengths and Support

        - First-Class Program Backing: Grounded in the National First-Class Undergraduate Program in Electronic and Information Engineering, the curriculum is rigorously designed, the faculty is experienced, and the teaching platform and quality are strong.

        - Huawei Industry–Education Integration: The program is closely integrated with Huawei's educational innovation projects and industry–education framework, incorporating real corporate engineering cases, advanced technical specifications, and industry application scenarios, ensuring that course content stays closely aligned with industry development and employer needs.

        - Full-Process Training Support: The School provides dedicated laboratory equipment, development kits, and specialized training platforms, offering sufficient hardware resources and hands-on project support, with faculty members guiding both instruction and practice throughout.

        - Effective Outcome Translation: Outstanding student projects can be further refined and submitted to embedded-related academic competitions at various levels, or used as core engineering cases in job interviews, strengthening employment competitiveness and adding tangible value to students' resumes.