This study investigates the relationship between Linear Systems Theory and Artificial Intelligence within the engineering graduate curriculum. The analysis highlights their significant roles in engineering disciplines, beginning with the fundamental concepts and development trajectories of both Linear Systems Theory and Artificial Intelligence. The study addresses these two fields' complementarity and integration from theoretical research and application development perspectives. Theoretically, they share a similar mathematical foundation and play crucial roles in modeling and predicting real-world problems. From an application development standpoint, leveraging the characteristics and strengths of both can lead to more efficient and accurate implementations. The analysis, conducted from multiple angles and dimensions, concludes that the graduate curriculum in engineering should emphasize the integration of these courses in both theoretical and practical teaching. This approach will help students understand and master relevant tools and technologies, enhance their practical skills and overall competencies, and better prepare them for future developments in the engineering field.

Deng Liwei, Xu Jiazhong, Guan Yu, Zhang Ruixue, Xie Guihua. Analysis of the Relationship between Linear Systems Theory and Artificial Intelligence in the Graduate Curriculum of Engineering. International Journal of New Developments in Education (2024), Vol. 6, Issue 9: 207-211. https://doi.org/10.25236/IJNDE.2024.060931.

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