Artificial Intelligence Curriculum Development for Intelligent System Experts in University

Jeong-Soo Lee, Jungwon Cho
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Abstract

Artificial intelligence (AI) has emerged as a pivotal technology for enhancing national and industrial competitiveness in the digital transformation era. Consequently, the cultivation of specialized talent in AI has garnered significant attention. This study analyzed AI-related department curricula at major universities worldwide, identifying critical courses for each academic semester. The data we collected included course titles, syllabi, and learning objectives, which were refined and analyzed afterward. Furthermore, we comparatively examined university AI education programs based on the content of Computer Science Curricula 2023, a widely recognized framework for computer science education. The insights gleaned from our analysis revealed that AI curricula are built upon a foundation of computer science, emphasizing the importance of a deep understanding of various related domains within the field of computer science. Based on these findings, we proposed a curriculum for AI departments, considering the need for a comprehensive understanding of computer science alongside specialized AI courses. This study aims to provide foundational data for advancing AI education and guide educational program improvements. Ultimately, it aspires to contribute to developing specialized professionals in the AI field, thereby bolstering national and industrial competitiveness in the rapidly evolving digital landscape.
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面向大学智能系统专家的人工智能课程开发
人工智能(AI)已成为数字化转型时代提升国家和产业竞争力的关键技术。因此,人工智能专业人才的培养备受关注。本研究分析了全球主要大学的人工智能相关学科课程,确定了每学期的关键课程。我们收集的数据包括课程名称、教学大纲和学习目标,之后对这些数据进行了提炼和分析。此外,我们还根据广受认可的计算机科学教育框架《计算机科学课程 2023》的内容,对大学人工智能教育课程进行了比较研究。分析结果表明,人工智能课程建立在计算机科学的基础之上,强调了深入了解计算机科学领域内各相关领域的重要性。基于这些发现,我们为人工智能系提出了一套课程,考虑到在开设人工智能专业课程的同时,还需要对计算机科学有全面的了解。本研究旨在为推进人工智能教育提供基础数据,并指导教育计划的改进。最终,它希望为培养人工智能领域的专业人才做出贡献,从而在快速发展的数字环境中增强国家和行业的竞争力。
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来源期刊
International Journal on Advanced Science, Engineering and Information Technology
International Journal on Advanced Science, Engineering and Information Technology Agricultural and Biological Sciences-Agricultural and Biological Sciences (all)
CiteScore
1.40
自引率
0.00%
发文量
272
期刊介绍: International Journal on Advanced Science, Engineering and Information Technology (IJASEIT) is an international peer-reviewed journal dedicated to interchange for the results of high quality research in all aspect of science, engineering and information technology. The journal publishes state-of-art papers in fundamental theory, experiments and simulation, as well as applications, with a systematic proposed method, sufficient review on previous works, expanded discussion and concise conclusion. As our commitment to the advancement of science and technology, the IJASEIT follows the open access policy that allows the published articles freely available online without any subscription. The journal scopes include (but not limited to) the followings: -Science: Bioscience & Biotechnology. Chemistry & Food Technology, Environmental, Health Science, Mathematics & Statistics, Applied Physics -Engineering: Architecture, Chemical & Process, Civil & structural, Electrical, Electronic & Systems, Geological & Mining Engineering, Mechanical & Materials -Information Science & Technology: Artificial Intelligence, Computer Science, E-Learning & Multimedia, Information System, Internet & Mobile Computing
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