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融合人工智能领域知识的离散数学课程建设

Development of Discrete Mathematics Curriculum Incorporating Knowledge from the Field of Artificial Intelligence
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摘要 人工智能的快速发展和人工智能学科的建设受到新时代党和政府的高度关注,并得到国内各高校的积极支持。南京大学在人工智能科研与教学方面具有长期积累和思考并于2018年成立我国C9高校中第一个人工智能学院。作为人工智能学科的基础支撑课程之一的“离散数学”课程在人工智能学院本科教学中具有重要地位。本文基于南京大学人工智能学院面向人工智能学科的离散数学教学全过程建设,研究阐述对课程教学体系的构建、学生情况的分析以及教学模型、教学内容和教学方法的思考与探索。为离散数学这一传统课程对人工智能这一新兴学科教学支撑提供了一些新的思路理念和新的方法。 The rapid development of artificial intelligence (AI) and the establishment of the AI discipline have garnered significant attention and support from the Party and government in the new era. Nanjing University, with its extensive expertise and reflection in AI research and teaching, established the first AI College among the “C9” universities in China in 2018. As one of the fundamental courses supporting the AI discipline, the “Discrete Mathematics” course holds an essential position in the undergraduate teaching of the AI College. This paper is based on the comprehensive development of discrete mathematics teaching in the AI College of Nanjing University, focusing on constructing the course teaching system, analyzing student conditions, and exploring teaching models, teaching content, and teaching methods. It provides new ideas, concepts, and methods for the traditional course of discrete mathematics to support the teaching of this emerging discipline of AI.
作者 吴楠
出处 《教育进展》 2023年第12期9603-9610,共8页 Advances in Education
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