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面向智能制造的工程测试与信号处理研究生课程教学改革与实践
Teaching Reform and Practice of Graduate Course Engineering Testing and Signal Processing for Intelligent Manufacturing

DOI: 10.12677/ces.2024.127430, PP. 60-66

Keywords: 工程测试与信号处理,智能制造,教学改革
Engineering Testing and Signal Processing
, Intelligent Manufacturing, Teaching Reform

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Abstract:

工程测试与信号处理研究生课程的教学改革旨在提升学生的实践能力和创新思维,以适应智能制造发展的需要。教学改革中强调理论与实践并重,根据科技的发展不断更新教学内容,注重跨学科知识的融合和应用,引入先进的教学技术,拓宽学生的知识面,培养解决实际问题的能力。实践教学改革强调实验设计和实际操作的重要性,引入先进的实验设备和虚拟实验,提供更多实践机会,加深学生对实验原理和流程的理解。通过产学研合作和实践项目,促进团队协作和跨学科交流,提高实践能力。同时,教学改革注重培养学生的创新意识,引入前沿技术和研究方向,鼓励学生参与科研项目,培养对人工智能等新技术的敏感性。积极进行师资队伍建设,提升教学水平。这一系列改革帮助学生更好地适应工程实践的需求,提高他们在智能制造领域的综合素质,为未来职业发展奠定坚实基础。
The teaching reform of the graduate course in engineering testing and signal processing aims to enhance students’ practical ability and innovative thinking to meet the needs of the development of intelligent manufacturing. The teaching reform emphasizes both theory and practice, constantly updates the teaching content according to the development of science and technology, focuses on the integration and application of interdisciplinary knowledge, and introduces advanced teaching technology to broaden students’ knowledge and cultivate the ability to solve practical problems. The reform of practical teaching emphasizes the importance of experimental design and practical operation by introducing advanced experimental equipment and virtual experiments to provide more practical opportunities and deepen students’ understanding of experimental principles and processes. Through industry-academy cooperation and practical projects, teamwork and interdisciplinary exchanges are promoted to improve practical skills. Meanwhile, the teaching reform focuses on cultivating a sense of creativity in students, introduces cutting-edge technologies and research directions, encourages students to participate in scientific research projects, and fosters sensitivity to new technologies such as artificial intelligence. Faculty development is actively pursued to improve the standard of education. This series of reforms will help students better adapt to the needs of engineering practice, improve their comprehensive quality in the field of intelligent manufacturing, and lay a solid foundation for future career development.

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