模式识别与人工智能研究生课程建设实践  

Pattern Recognition and Artificial Intelligence Graduate Course Construction Practice

作　　者：隋文涛[1] 任慧茹 赵国勇[1] 李志永[1] Sui Wentao;Ren Huiru;Zhao Guoyong;Li Zhiyong(School of Mechanical Engineering,Shandong University of Technology,Zibo,255049,China)

机构地区：[1]山东理工大学机械工程学院,山东淄博255049

出　　处：《中国现代教育装备》2024年第13期129-131,共3页China Modern Educational Equipment

基　　金：山东省优质研究生课程项目“模式识别与人工智能”(编号:SDYKC2022107);山东省优质专业学位教学案例库项目“模式识别与人工智能”(编号:SDYAL20127);山东省研究生教育质量提升计划项目“新工科背景下服务新旧动能转换的研究生导师团队建设研究与实践”(编号:SDYJG19105)。

摘　　要：随着信息技术的发展和智能制造的提出,模式识别与人工智能作为一门信息技术类的重要课程,已经成为助力新产业变革不可或缺的力量。面向研究生开设模式识别与人工智能课程,对完善交叉学科结构、提高学生的科研能力和就业竞争能力等具有重要意义。为激发学生的学习兴趣、高质量完成培养目标,提出了案例教学、思政入课、以赛促教的课程建设方案,围绕教学方法和课程建设进行了教学实践。根据问卷调查结果可知,绝大多数学生对课程建设的评价良好,认为通过课程学习提升了自主学习能力,锻炼了科研思维,增强了解决问题的能力。With the development of information technology and the introduction of intelligent manufacturing,pattern recognition and artificial intelligence,as an important course of information technology,have become an indispensable force for the transformation of new industries.Setting up the course of pattern recognition and artificial intelligence for postgraduates is of great significance for perfecting the interdisciplinary structure and improving the students'scientific research ability and employment competitiveness.In order to stimulate students'interest in learning and achieve the training goals with high quality,this paper puts forward the curriculum construction scheme of case teaching,ideology and politics,and promoting teaching by competition,and carries out teaching practice around teaching methods and curriculum construction.According to the results of the questionnaire survey,the vast majority of students have a good evaluation of the course construction,and believe that the course learning has improved the independent learning ability,trained the scientific research thinking,and enhanced the problem solving ability.

关 键 词：人工智能 课程建设 教学方法 

分 类 号：G642[文化科学—高等教育学]