Research on Interactive Teaching for Intelligent Algorithm of Engineering Big Data

Lehui Su

2023

Abstract

In the process of engineering construction, there are often a large number of engineering construction-related data and the scientific and accuracy of data processing and analysis often directly affect the quality of engineering construction. With the increase of the scale and quantity of construction projects, it is difficult for manual data analysis and processing to meet the current needs of engineering construction. The application of big data intelligent algorithm to scientifically process engineering data information is the main development trend in the future. In this regard, as the main position of training big data talents in the new era, colleges and universities need to actively introduce advanced teaching concepts, improve and innovate the teaching mode of big data intelligent algorithm for the field of engineering construction, and then train more comprehensive engineering big data talents. Based on this, this paper explores interactive teaching strategies. First, it introduces the basic principles of intelligent algorithm of big data in engineering, then deeply analyzes the practical problems faced in the teaching of intelligent algorithm of big data in engineering at present, and finally discusses interactive teaching strategies oriented to intelligent algorithm of big data in engineering in detail for reference.

Paper Citation

in Harvard Style

Su L. (2023). Research on Interactive Teaching for Intelligent Algorithm of Engineering Big Data. In Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT; ISBN 978-989-758-677-4, SciTePress, pages 39-45. DOI: 10.5220/0012273500003807

in Bibtex Style

@conference{anit23,
author={Lehui Su},
title={Research on Interactive Teaching for Intelligent Algorithm of Engineering Big Data},
booktitle={Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT},
year={2023},
pages={39-45},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012273500003807},
isbn={978-989-758-677-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Seminar on Artificial Intelligence, Networking and Information Technology - Volume 1: ANIT
TI - Research on Interactive Teaching for Intelligent Algorithm of Engineering Big Data
SN - 978-989-758-677-4
AU - Su L.
PY - 2023
SP - 39
EP - 45
DO - 10.5220/0012273500003807
PB - SciTePress