摘要
探讨了应用型本科高校智能科学与技术专业的人才培养体系。该体系结合人工智能的学科特点,从数学和计算机出发,逐步构建了从数学基础、计算机基础、人工智能基础到人工智能进阶的层层递进的理论课程体系。进而,在理论教学的基础上,建立包含课内实验、课程设计、综合项目实践和专业实习的从单项到综合的课内实践体系。此外,鼓励学生参加兴趣小组、科技社团、学术讲座、创新创业项目以及科研训练,让学生得到从思维方式到团队合作的全方位锻炼,实现高级应用型专业人才的培养目标。
This paper discusses the undergraduate education system for intelligence science and technology majors in applied undergraduate universities.Starting from mathematics and computer science,the system gradually builds a progressive theoretical curriculum system including mathematical foundations,computer foundations,artificial intelligence foundations and advanced artificial intelligence,based on the characteristics of artificial intelligence.Furthermore,we also establish an in-class practice system from simple to comprehensive in-class experiments,design projects,comprehensive project practice,and professional practice.In addition,by encouraging students to participate in specific interest groups,science and technology clubs,academic lectures,innovation and entrepreneurship activities,and scientific research training projects,we realize that students can get a full range of exercises from thinking styles to teamwork,and achieve the goal of training professional engineers of artificial intelligence.
作者
赵海峰
刘娅
张燕
ZHAO Hai-feng;LIU Ya;ZHANG Yan(Jinling Institute of Technology, Nanjing 211169, China)
出处
《金陵科技学院学报》
2020年第4期22-26,共5页
Journal of Jinling Institute of Technology
基金
江苏省高校自然科学研究重大项目(16KJA520003)
金陵科技学院科研孵化项目基金(jit-fhxm-201808)
金陵科技学院高层次人才引进基金(jit-b-201717)。
关键词
智能科学与技术
人才培养体系
高等教育
人工智能
intelligence science and technology
talents cultivation system
higher education
artificial intelligence
