This course is one of the core courses in Mechatronic Engineering and serves as a key supporting course for achieving the graduate requirement of international engineering education accreditation: the ability to apply mathematics, natural sciences, and fundamental principles of mechatronic engineering to identify and analyze the essential phenomena and critical aspects of complex engineering problems in the design and manufacturing of mechatronic products.
Supported by the Zhihuishu Smart Education Platform, the course promotes continuous improvement through resource optimization, curriculum content restructuring, and blended teaching innovation.
The course adopts a student-centered and competency-oriented approach, emphasizing the integration of theoretical instruction, practical training, and engineering applications. Through activities such as MATLAB simulation, sensor performance testing, and engineering case studies, students develop a deeper understanding of measurement principles, signal analysis, and engineering testing methods, while strengthening their ability to apply these concepts in real-world engineering contexts.
The course also actively explores the integration of AI-enabled learning tools with smart education practices. By developing knowledge graphs, digital resource repositories, assignments and assessment systems, and interactive Q&A modules, it aims to build a provincial-level shared course characterized by a well-structured curriculum, rich learning resources, strong interactivity, and a practice-oriented learning experience.
