Research on Statistics Curriculum Reform under the Influence of Public Security Big Data Technology

Autor: Hu Kaifeng, Wang Zhelin
Jazyk: English<br />French
Rok vydání: 2023
Předmět:
Zdroj: SHS Web of Conferences, Vol 162, p 01044 (2023)
Druh dokumentu: article
ISSN: 2261-2424
DOI: 10.1051/shsconf/202316201044
Popis: In the use of big data, public security mainly focuses on the key processing of data. Although it is structured, it needs to be used in many aspects. Data processing results and analysis results, but through data processing, can effectively think about the specific implementation methods. Public security data science is becoming a new public security discipline and police technical field. Under the influence of public security big data technology, there are various problems in the development of statistics education and teaching and the design of teaching courses. On the premise of combining the design of statistics-related courses and the development of teaching, this paper makes an in-depth study on the reform of statistics courses under the influence of public security big data technology, and puts forward the reform path of statistics courses. In order to improve the teaching quality of statistics course and cultivate professionals who are more in line with the development of the times.
Databáze: Directory of Open Access Journals