Citation:
Weigang Zhu, Jianfeng Wang, Qiang Qi, Jing Li, Zhicheng Zhang, Xi Yu. Curriculum Development for Cheminformatics and AI-Driven Chemistry Theory toward an Intelligent Era[J]. University Chemistry,
;2025, 40(9): 34-42.
doi:
10.12461/PKU.DXHX202412002
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In recent years, the integration of artificial intelligence (AI) technology and chemistry education has given rise to a new track for the development of professional chemistry education in higher education institutions. How to transform chemistry teaching content, innovate teaching methods, and promote curriculum construction has become one of the key focuses. This article introduces the overview of the course construction of “Chemical Informatics and AI Chemistry” at Tianjin University, discusses the necessity of carrying out the project construction of artificial intelligence chemistry course, summarizes the teaching objectives, knowledge areas and teaching content, characteristic innovations and operational effects of the course, and puts forward shortcomings and future improvement plans, hoping to provide reference for teaching peers in related fields.
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