This course is designed for the “AI and Embodied Interaction” micro-program. It systematically presents the core principles, design methods, and development processes of AI systems. By integrating the holistic thinking of systems science with cutting-edge AI technologies, the course aims to cultivate students’ engineering capabilities in developing AI applications from a complex systems perspective.

The course adopts a “theory teaching + project-driven” model. Through a semester-long team project, students are guided through the full-cycle practices of requirement analysis, system architecture design, and prototype implementation. The course emphasizes the integration of systems science thinking with engineering practice, focusing on developing students’ comprehensive abilities to define complex problems, design system architectures, and validate system performance through experimentation. This lays a solid foundation for future work in embodied AI, robotic interaction, and the development of complex AI systems.