| 基于Python语言的“人工智能”课程教学改革研究 |
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| 作者姓名： | 王新良 马耀博 |
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| 作者单位： | 河南理工大学物理与电子信息学院 |
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| 基金项目： | 2018年教育部-奥鹏教育产学合作协同育人项目,项目编号:201801044003;2018年河南理工大学新工科建设研究与实践项目,项目名称:高校在线网络学习平台教学实施效果分析与研究。 |
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| 摘 要： | 为了提高"人工智能"课程的教学质量和效果,激发学生的学习兴趣,促进学生找到行之有效的学习方法,从而加强对本门课程的掌握程度。本课题基于Python语言语法简单、使用便捷的特点,以人工智能领域中的机器学习为案例,结合Python中主流的人工智能算法库,实现了基于Python的机器学习。案例教学能让学生深入浅出地理解人工智能的本质,使学生对该课程有更加全面和深刻的认识,同时也能进一步提高教师的教学质量。
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| 关 键 词： | 人工智能 PYTHON 机器学习 教学改革 案例教学 |
Teaching reform of"Artificial Intelligence"Based on Python Language |
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| Authors: | WANG Xinliang MA Yaobo |
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| Institution: | (School of Physics and Electronic Information,Henan Polytechnic University,Jiaozuo,Henan 454000) |
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| Abstract: | In order to improve the teaching quality and effect of the course of Artificial Intelligence, stimulate students’ interest in learning, and promote students to find effective learning methods, so as to strengthen the mastery of this course. Based on the simple grammar and convenient use of Python language, this paper takes machine learning in the field of artificial intelligence as an example, and combines the mainstream artificial intelligence algorithm library in Python to realize machine learning based on Python. Case teaching can make students understand the essence of AI deeply and shallowly, make students have a more comprehensive and profound understanding of the course, and at the same time, it can further improve the teaching quality of teachers. |
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| Keywords: | Artificial Intelligence Python machine learning teaching reform case teaching |
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