Research on Practical Teaching System of Intelligent Manufacturing Engineering: A Case Study of Major Design

Based on the construction requirements of the "Emerging Engineering" major in intelligent manufacturing engineering and the characteristics of interdisciplinary integration, the cultivation of high-quality interdisciplinary talents has been established as the primary objective. By coordinating multiple on-campus and off-campus resources and fostering cohesion within the entire discipline supervisor team, the "academic supervisor system" training mode has been established, and the continuous training mechanism for "undergraduate and master's" programs has been effectively developed. Additionally, school–enterprise collaborations have been implemented, and practical bases have been successfully established. With the support of the entire discipline supervisor team and the closed-loop integrated laboratory, the practical teaching system characterized by cross-integration and systematic progression has been developed at our university. By creating a step-by-step, planned, and systematic practical course system, the issues of standardization, randomization, and fragmentation within practical courses have been effectively resolved. Through the integration of project-based courses and school–enterprise co-constructed courses, students' innovative abilities are further enhanced. It then describes the design and implementation methods of major design, and analyzes its practical effects. It holds significant reference and demonstrative value for the construction of practical courses, laboratories, and the talent cultivation model of the "Emerging Engineering" major.

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Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1145/3708394.3708410
Primary Topic
Engineering and Environmental Studies
Type
article
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article

Research on Practical Teaching System of Intelligent Manufacturing Engineering: A Case Study of Major Design

Lu Yang, Yining Wu, Zeyu Li, Guobin Zhang et al.
Engineering and Environmental Studies
article

Research on Practical Teaching System of Intelligent Manufacturing Engineering: A Case Study of Major Design

Lu Yang, Yining Wu, Zeyu Li, Guobin Zhang, He Tian
article en

Abstract

Based on the construction requirements of the "Emerging Engineering" major in intelligent manufacturing engineering and the characteristics of interdisciplinary integration, the cultivation of high-quality interdisciplinary talents has been established as the primary objective. By coordinating multiple on-campus and off-campus resources and fostering cohesion within the entire discipline supervisor team, the "academic supervisor system" training mode has been established, and the continuous training mechanism for "undergraduate and master's" programs has been effectively developed. Additionally, school–enterprise collaborations have been implemented, and practical bases have been successfully established. With the support of the entire discipline supervisor team and the closed-loop integrated laboratory, the practical teaching system characterized by cross-integration and systematic progression has been developed at our university. By creating a step-by-step, planned, and systematic practical course system, the issues of standardization, randomization, and fragmentation within practical courses have been effectively resolved. Through the integration of project-based courses and school–enterprise co-constructed courses, students' innovative abilities are further enhanced. It then describes the design and implementation methods of major design, and analyzes its practical effects. It holds significant reference and demonstrative value for the construction of practical courses, laboratories, and the talent cultivation model of the "Emerging Engineering" major.

Tianjin University of Technology (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 66%
Engineering and Environmental Studies
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Research on Practical Teaching System of Intelligent Manufacturing Engineering: A Case Study of Major Design — Lu Yang, Yining Wu, et al. · (2024) | TGRS Research Map | TGRS