创新创业理论研究与实践 ›› 2024, Vol. 7 ›› Issue (17): 145-149.

• 模式探索 • 上一篇    下一篇

面向就业需求的研究生校企联合培养模式研究——针对图像处理及人工智能方向

冯斌, 苏炜, 孟祥众   

  1. 西安工业大学 光电工程学院,陕西西安 710021
  • 出版日期:2024-09-10 发布日期:2024-11-28
  • 作者简介:冯斌(1977—),男,河南荥阳人,博士研究生,副教授,研究方向:靶场光电测试技术及仪器、光机系统设计、控制工程、计算机视觉及图像工程、模式识别与智能系统、人工智能、信息技术。
  • 基金资助:
    2022年西安工业大学研究生教育教学改革研究项目“面向就业需求的研究生校企联合培养模式研究——针对图像处理及人工智能方向需求”(2)

Research on the Joint Training Model of Graduate School and Enterprise for Employment Needs—Targeting the Direction of Image Processing and Artificial Intelligence

FENG Bin, SU Wei, MENG Xiangzhong   

  1. School of Opto-Electronical Engineering, Xi'an Technological University, Xi'an Shaanxi, 710021, China
  • Online:2024-09-10 Published:2024-11-28

摘要: 为国家经济转型升级和可持续发展培养高质量的人工智能技术人才,成为高校人工智能学科建设的重要任务。针对当前以项目为导向的图像处理及人工智能领域的校企联合培养研究生模式中存在的重理论实践、轻职业技能问题,该文提出了一种校企联合培养的改革创新思路,根据企业对图像处理及人工智能方向人才的需求,以就业为导向,以项目为依托,引入企业文化、校企双导师责任制,联合对电子信息专业硕士研究生进行图像处理及人工智能方向的定制培养。实践案例表明:该模式能够为企业培养符合其需求的专业人才,为该领域研究生就业起到了积极作用。

关键词: 面向就业, 图像处理, 人工智能, 联合培养, 项目驱动, 校企双导师

Abstract: Cultivating high-quality artificial intelligence technology talents for the transformation, upgrading, and sustainable development of the national economy has become an important task in the construction of artificial intelligence disciplines in universities. However, there is a problem in the current project-based image processing and artificial intelligence field where the school enterprise joint training of graduate students emphasizes theoretical practice and neglects vocational skill development. This article elaborates on the current approaches and methods of joint training between schools and enterprises for master's students majoring in image processing and artificial intelligence, as well as the problems in the employment process. It proposes a reform and innovative approach to joint training between schools and enterprises. In response to the talent needs of enterprises in the fields of image processing and artificial intelligence, with employment orientation and project support, we will deepen the corporate culture, establish a dual supervisor responsibility system between schools and enterprises, and jointly cultivate master's students in the field of image processing and artificial intelligence in the field of electronic information. Practical cases have shown that this model can cultivate professional talents that meet the needs of enterprises and play a positive role in the employment of graduate students in this field.

Key words: Employment oriented, Image processing, Artificial intelligence, Joint cultivation, Project driven, School enterprise dual mentors

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