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This paper outlines a novel project-based curriculum designed to integrate artificial intelligence into mechanical engineering education, specifically focusing on thermal engineering at the University of Arkansas. By addressing gaps in electrical and computer engineering knowledge and the complexities of thermal system modeling, the curriculum aims to enhance students' understanding of AI applications in engineering tasks and improve their multidisciplinary communication skills. The open-access resources provided, including syllabi and project codes, offer valuable insights for educators seeking to foster practical skills and creativity in engineering students.
Integrating AI into mechanical engineering education could transform how future engineers approach complex thermal problems and interdisciplinary collaboration.
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.