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作 者:康怡琳 汪红[1] 田莎莎[1] 任恺[1] KANG Yi-lin;WANG Hong;TIAN Sha-sha;REN Kai(School of Computer Science,South-Central Minzu University,Wuhan,Hubei 430074,China)
机构地区:[1]中南民族大学计算机科学学院,湖北武汉430074
出 处:《教育教学论坛》2023年第51期89-92,共4页Education And Teaching Forum
基 金:2019年度中央高校本科教学质量工程“新工科背景下面向人工智能实验班的机器学习课程建设”(JYX19066);2020年度湖北省高等学校省级教学研究项目“后疫情时代社科类教师教学能力重塑研究——基于TPACK模型的思考与实证”(2020295)。
摘 要:“机器学习”是人工智能专业和智能科学与技术专业的重要基础课程,具有学科前沿性及多领域交叉的特点。针对民族院校部分学生学习基础相对薄弱的情况,如何有效开展该课程是民族院校相关专业学生培养工作的迫切任务。中南民族大学人工智能专业机器学习课程在新工科教育的需求背景下,以案例引导为铺垫,讲解机器学习模型相关的基础概念、算法原理以及应用领域等,建立以案例及创新项目为主线的实践流程,使学生能够在行业先进的平台上进行创新性训练,系统规范地培养学生实践与科研创新能力,为后续课程及学生未来的实践创新能力奠定坚实基础。Machine learning is an important foundational course in the major of artificial intelligence and intelligence science and technology,with the characteristics of cutting-edge disciplines and interdisciplinary approaches.In response to the relatively weak learning foundation of some students in ethnic universities,how to effectively carry out this course is an urgent task for the cultivation of students in related majors in ethnic universities.This paper elaborates on the exploration of theoretical and practical teaching of machine learning courses in the major of artificial intelligence at South-Central Minzu University in the context of the demand for new engineering education.Using case study as a foundation,explain the basic concepts,algorithm principles,and application fields related to machine learning models,establish a practical process centered on case studies and innovative projects,enabling students to conduct innovative training on industry-leading platforms,systematically and normatively cultivate their practical and scientific research innovation abilities,and lay a solid foundation for subsequent courses and students’future practical and innovative abilities.
分 类 号:G642.0[文化科学—高等教育学]
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