Research on Curriculum System Construction of Civil Engineering Specialty Based on Origin Statistical Software
- DOI
- 10.2991/978-94-6463-034-3_6How to use a DOI?
- Keywords
- civil engineering; course education; origin statistical software; data information processing model; ABAQUS model analysis
- Abstract
In view of the current situation of the ideological and political research of civil engineering courses, this paper, under the background of moral education in colleges and universities in the new era, based on Origin statistical software, sets out the basic task of multi-dimensional construction of the ideological and political system of civil engineering courses, combined with data statistical analysis, puts forward a set of curriculum ideological and political construction method suitable for civil engineering courses. Combined with teaching practice, this paper adopts Origin data statistical software analysis and ABAQUS model analysis software to establish data information processing model and conduct research and analysis through the steps of creating parts, defining section attributes, defining boundary conditions and post-processing of grid division, so as to improve the teaching mode and method. In order to achieve the purpose of civil engineering curriculum education.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Dandan Shi PY - 2022 DA - 2022/12/23 TI - Research on Curriculum System Construction of Civil Engineering Specialty Based on Origin Statistical Software BT - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022) PB - Atlantis Press SP - 40 EP - 47 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-034-3_6 DO - 10.2991/978-94-6463-034-3_6 ID - Shi2022 ER -