Bulletin of Surveying and Mapping ›› 2023, Vol. 0 ›› Issue (5): 170-174,179.doi: 10.13474/j.cnki.11-2246.2023.0156

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Discussion on error theory and data processing course teaching under interdisciplinary background

WANG Chisheng1,2, LI Qingquan1,2, TU Wei1, YUE Yang1, XIA Jizhe1, LU Min1, LIANG Shihao1, GAO Qing3, GUO Renzhong1   

  1. 1. School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China;
    2. Guangdong Laboratory of Artificial Intelligence and Digital Economy(SZ), Shenzhen 518000, China;
    3. Nanshan District Education Research Institute, Shenzhen 518000, China
  • Received:2022-07-26 Published:2023-05-31

Abstract: Error theory has always been the basic core content of surveying and mapping and also the support of information geography such as geographic information science and remote sensing. In the past, the teaching of error theory mainly focuses on the specific measurement formulas and problems of edge measurement, angle measurement and height measurement. However, the development of science and technology, surveying and mapping science and electronics, computers, urban planning and other fields present a trend of disciplinary crossing and integration, the students of this major are less directly engaged in the traditional surveying and mapping industry. As the basic theory of data processing and error theory still plays a very important supporting role in students' knowledge learning in the fields of spatial statistics, navigation and positioning, multi-sensor fusion, spatio-temporal big data application and so on. This paper analyzes the significance of the course of error theory and data processing, discusses the challenges faced by the classical curriculum system under the background of interdisciplinary development, and puts forward a new preliminary teaching reform plan. Finally, we take the teaching practice for the undergraduate students major in geospatial information engineering in Shenzhen University as an example to carry out the analysis.

Key words: error theory, interdisciplinary, course teaching, surveying and mapping

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