地理信息系统、遥感、全球定位系统、办公自动化软件技术开发、技术咨询、技术转让、技术服务；电子计算机系统集成；销售开发后的产品；经营本企业和成员企业自产产品及技术出口业务；本企业和成员企业所需的原辅材料、机械设备、仪器仪表、零配件及技术的进口业务（国家限定公司经营和国家禁止进出口的商品除外）；经营进料加工和三来一补业务；技术培训；出租办公用房；施工总承包；专业承包；承办展览展示活动；会议服务；组织文化艺术交流活动（不含演出）。（市场主体依法自主选择经营项目，开展经营活动；依法须经批准的项目，经相关部门批准后依批准的内容开展经营活动；不得从事国家和本市产业政策禁止和限制类项目的经营活动。）
University-enterprise collaborative education can promote technologies for university education,and ensure that students' skills meet market demands.The author's team,in response to the evolving trends in technology,introduced some technologies(geographic big data,artificial intelligence,real scene modelling)into university education and built a new mode of collaborative investment of manpower and material resources.This paper describes some research practices related to how to build a series of training cases on geographic big data and real scene modelling through cross-course collaboration and introduces a corresponding training platform.The paper then analyses the platform how to promote GIS experiments education's upgrades.One upgrade involves transitioning the experimental environment from PCs to the network cloud,while the other upgrade involves moving from small dataset to big data.These improvements enhance both teaching quality and faculty development,and also aligning talent training with market needs.These practices could be referred by other university-enterprise collaborative educations.This research won the Geographic Big Data Competition(2024)Award for Geographic Data Education and Science Popularization.
