Research on Innovative Teaching of Core Courses for Professional Degree Graduate Students

Abstract

Given the pressures imposed by policies such as the “Double First-Class” initiative, the program for outstanding engineers, and the “Dual Carbon” strategy, it has become an urgent priority to achieve multiple breakthroughs in core professional graduate courses-transforming knowledge delivery into innovation capacity, shifting from single-discipline to interdisciplinary approaches, and evolving from traditional teaching to digital-intelligent education. Taking the course development of “Advanced Combustion Science” at Henan Agricultural University as a case study, this article provides acomprehensive analysis of core professional graduate courses in the interdisciplinary field of energy and power engineering combined with agricultural engineering. Based on the integrated framework of “fundamental theory-frontier mechanisms-digital-intelligent simulation-engineering applications”, the teaching content is designed to incorporate artificial intelligence and big data technologies, integrating universities, industries, and enterprises into a collaborative education network. The study proposes a course development model that combines interdisciplinarity, digital intelligence, and excellence-oriented goals. Practical implementation demonstrates that this model effectively promotes original innovation among graduate students, enhances capabilities in tackling complex engineering problems, and fosters multi-stakeholder collaboration, offering valuable and scalable experience for similar professional graduate programs.