摘要
人工智能“新工科”建设强调对学生实践能力、学科交叉能力、团队协作能力、创新能力的培养。计算机视觉实验作为人工智能专业的核心专业实验课,从科研项目中提炼能够反映前沿性和创新性的有挑战度的实验内容,采用多路径迭代的实验设计,通过准科研的过程体验,将学生的知识、能力和素质培养进行有机融合,实现从单科到交叉、从被动到主动、从应试到实战、从个体到协作的四个转变,培养学生解决复杂工程问题的能力和科研创新能力。
The construction of artificial intelligence“new engineering”emphasizes the cultivation of studentspractical ability,disciplinary interdisciplinary ability,team collaboration ability and innovation ability.As the core professional experimental course of artificial intelligence,computer vision experiment extracts challenging contents from scientific research projects,which can reflect the frontier and innovation.The experimental design of multi-path iteration is adopted to organically integrate studentsknowledge,ability and quality training.This process can make students achieve four changes from single subject to cross,from passive to active,from exam-oriented to actual combat,from individual to collaboration.Finally,studentsability to solve complex engineering problems and scientific research innovation are cultivated.
作者
付海燕
李祎
李华龙
展金
FU Haiyan;LI Yi;LI Hualong;ZHAN Jin(Information Technology Experimental Center,Dalian University of Technology,Dalian 116023,China;School of Artificial Intelligence,Dalian University of Technology,Dalian 116023,China)
出处
《实验室科学》
2024年第2期108-111,117,共5页
Laboratory Science
基金
国家自然科学基金(项目编号:62076052,62106037)
教育部第二批新工科研究与实践项目(项目编号:ERGZN20201014)
2022年度辽宁省普通高等教育本科教学改革研究一般项目(项目编号:20221014140)。
关键词
计算机视觉
准科研模式
人工智能专业
实验课程建设
computer vision
quasi-scientific research mode
artificial intelligence
experimental course construction
