摘要
机器学习是目前人工智能的核心领域,机器学习课程是人工智能学科的主干课程之一。研究生机器学习课程教学存在理论起点高、学生难以理解,培养过程与社会需求脱节等问题。通过教学内容重组、注重实践导向完成实验教学、实现课程教学双语化、加强全过程考核等方式加强课程建设。
Machine learning is the core field of artificial intelligence,and the course of machine learning is one of the main courses of artificial intelligence.There are some problems in the teaching of machine learning courses for graduate students,such as high theoretical starting point,difficulty in understanding knowledge and disconnection of the training process from social needs.Curriculum construction should be strengthened by reorganizing teaching content,focusing on practice-oriented experimental teaching,realizing bilingual teaching and strengthening the whole process examination.
作者
薛伟
陈国欢
吴宣够
郑啸
XUE Wei;CHEN Guohuan;WU Xuangou;ZHENG Xiao(School of Computer Science and Technology,Anhui University of Technology,Ma’anshan 243032,Anhui,China;School of International Education,Anhui University of Technology,Ma’anshan 243032,Anhui,China)
出处
《安徽工业大学学报（社会科学版）》
2022年第3期62-64,共3页
Journal of Anhui University of Technology：Social Sciences
基金
安徽工业大学教育教学研究项目(2019jy22)。
关键词
新工科
研究生教学
机器学习
new engineering
courses for graduate students
machine learning
