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地方农林高校智能科学与技术专业建设实践

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  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
  • 维普
人工智能、大数据等新一代信息技术的发展极为迅速,地方农林院校应着力提升相关专业的办学水平,为区域数字农业农村、无人农场等现代农业的建设与发展培养高层次复合型人才.从人才培养目标、课程体系建设、课程教学、课程思政、人才培养模式与师资队伍建设等方面阐述安徽农业大学智能科学与技术专业建设探索与初步实践及其效果,为同类院校相关专业建设提供参考.
With the rapid development of the new generation of information technology,e.g.,artificial intelligence and big data,local agriculture and forestry colleges and universities should focus on improving the educational level of relevant majors,as well as cultivating high-level interdisciplinary talents for the construction and development of modern agriculture,such as regional digital agriculture,rural areas and unmanned farms.This paper presents preliminary practice and effect of intelligent science and technology major construction in our university from the aspects of talent training objectives,curriculum system construction,curriculum teaching,curriculum ideology and politics,talent training mode and teacher team construction,for providing useful reference for the construction of related majors in similar universities.

agriculture and forestry universityintelligent science and technologymajor constructioncurriculum systeminter-disciplinary talents

饶元、王坦、张武

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安徽农业大学 信息与人工智能学院,合肥 230036

农林高校 智能科学与技术 专业建设 课程体系 复合型人才

安徽省省级质量工程项目(2021)安徽农业大学校级质量工程项目(2020)

2021sx0382020aujyxm53

2024

10.19980/j.CN23-1593/G4.2024.04.021

高教学刊
黑龙江省创联文化传媒有限公司，黑龙江省高等教育教学评估中心

高教学刊

ISSN：2096-000x
年,卷(期)：2024.10(4)
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