Enhancing Computational Thinking in Graduate Education: Curriculum Reform in Modern Sensing and Control Technology

Abstract

The integration of advanced computational techniques into "Modern Sensing and Control Technology" has become a key element in the educational reform of engineering disciplines. The purpose of this reform is to better equip graduate students with the skills needed for the evolving technological landscape. The reform was implemented through three main methods: enriching course content with AI-driven methodologies and IoT applications, adopting diverse teaching strategies such as project-based and case-based learning to foster active learning, and enhancing practical training through computational modeling and algorithm development exercises. The results of this reform have shown significant improvements in students’ computational literacy, interdisciplinary problem-solving abilities, and practical engineering skills, effectively preparing them for challenges in intelligent manufacturing and modern systems engineering. The scientific contribution of this paper lies in providing a framework for integrating emerging technologies into engineering curricula, offering a valuable reference for institutions seeking to modernize their educational practices and enhance students' career readiness in the technology-driven workforce.