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This paper outlines a novel curriculum designed to integrate artificial intelligence into mechanical engineering education, specifically targeting thermal engineering challenges and their connections to electrical and computer engineering. By offering a structured approach with introductory, application, and advanced levels, the curriculum aims to enhance students' understanding of AI models, improve their problem-solving capabilities, and foster multidisciplinary communication skills. The initiative not only addresses the gaps in traditional ME training but also provides open-access resources for educators and researchers to implement similar programs.
A new AI-integrated curriculum for mechanical engineering empowers students to tackle complex thermal engineering problems while enhancing their interdisciplinary skills.
Mechanical engineering (ME) requires a broad knowledge base across several disciplines. However, ME students often have insufficient training in electrical and computer engineering, complex challenges in traditional thermal system modeling, and endure heavy course loads with limited class hours. To help address these challenges, this paper proposes a new curriculum that integrates artificial intelligence (AI) into ME at the University of Arkansas (UARK), with a particular emphasis on thermal problems and their interplay with electrical and computer engineering. The curriculum has introductory, application, and advanced levels, covering core and optional AI projects. Key goals are to enhance students'understanding of AI models, ability to tackle engineering tasks, and teach multidisciplinary communication skills. This curriculum offers educators and researchers valuable insights into courses that can enhance students'practical skills and creativity. This curriculum, including the syllabus, data, and codes, is available to the public in open-access repositories.
