scholarly journals Construction of Special Program of Artificial Intelligence in Applied Universities of Finance and Economics

CONVERTER ◽  
2021 ◽  
pp. 708-712
Author(s):  
Linge Wang
Keyword(s):  
Artificial Intelligence ◽  
Colleges And Universities ◽  
Current Situation ◽  
Special Program ◽  
Financial Industry ◽  
Implementation Plan ◽  
Teaching Objectives ◽  
Financial Application ◽  
Specific Implementation

The development of AI technology has affected all walks of life in society, and then brought about the urgent demand for intelligent, compound and applied talents. Through the analysis of the current financial industry, finance and other industries, combined with the current situation of compound talent training in Financial Colleges and universities, the construction path of the "AI" special program in financial application colleges and universities is proposed, and the specific implementation plan of the course construction is described from the education objectives, curriculum objectives, teaching objectives, teaching plans and other aspects.

Research on the framework of university ideological and political education management system based on artificial intelligence

2021 ◽  
pp. 1-10
Author(s):  
Xuying Sun ◽  
Yu Zhang
Keyword(s):  
Artificial Intelligence ◽  
Political Theory ◽  
Outlier Detection ◽  
Management System ◽  
Detection Algorithm ◽  
Colleges And Universities ◽  
Ideological And Political Education ◽  
Political Education ◽  
Data Simulation ◽  
Artificial Intelligence Technology

The importance of the management of ideological and political theory courses in colleges and universities is objective to the importance of ideological and political theory courses. At present, the management of ideological and political theory courses in colleges and universities has big problems in both macro and micro aspects. This paper combines artificial intelligence technology to build an intelligent management system for ideological and political education in colleges and universities based on artificial intelligence, and conducts classroom supervision through intelligent recognition of student status. The KNN outlier detection algorithm based on KD-Tree is proposed to extract the state information of class students. Through data simulation, it can be known that the KD-KNN outlier detection algorithm proposed in this paper significantly improves the efficiency of the algorithm while ensuring the accuracy of the KNN algorithm classification. Through experimental research, it can be seen that the construction of this system not only clarifies the direction of management from a macro perspective, but also reveals specific methods of management from a micro perspective, and to a certain extent effectively solves the problems in the management of ideological and political theory courses in colleges and universities.

Simulation of public art communication in colleges based on smart cloud platform and artificial intelligence algorithm

2020 ◽  
pp. 1-11
Author(s):  
Zhang Yingying
Keyword(s):  
Artificial Intelligence ◽  
Public Art ◽  
Optimal Path ◽  
Colleges And Universities ◽  
Cloud Platform ◽  
Current Transmission ◽  
Artificial Intelligence Algorithm ◽  
Offset Coefficient ◽  
Network Status ◽  
Selection Of

Public art communication in colleges and universities needs to be launched with the support of artificial intelligence systems. According to the current situation of public art communication in colleges and universities, this paper builds a smart cloud platform for public art communication in colleges and universities with the support of artificial intelligence algorithms. Moreover, this paper introduces the bandwidth offset coefficient to judge the change of network throughput, introduces the slice download rate difference to first judge the consistency change trend of bandwidth, and then further proposes the calculation method of bandwidth prediction value by situation. In addition, this paper proposes a flexible transmission mechanism based on smart collaborative networks. Through in-depth perception of network status and component behavior, this mechanism implements the selection of the optimal path in the network according to the current network status and user service requirements to complete the transmission of service resources. If the current transmission path fails, the mechanism should ensure the continuity and reliability of the service. The research results show that the system constructed in this paper has good performance and can be applied to practice.

scholarly journals RUSSIAN MATRIX OF THE DIGITAL PROFILE OF THE RUSSIAN

2020 ◽  
Vol 1 (25(52)) ◽  
pp. 39-52
Author(s):  
Alexander Arsenievich Petrov
Keyword(s):  
Artificial Intelligence ◽  
Control Systems ◽  
Continuous Monitoring ◽  
Population Control ◽  
The State ◽  
Business Community ◽  
Smart Sensors ◽  
Financial Industry ◽  
High Quality ◽  
Public And Private

The development of artificial intelligence accelerated the development and application of smart sensors and human observation and study systems, and the establishment of continuous monitoring of it using various sources. The financial industry has always sought to collect as much data as possible about its customers. Many countries have begun to create population control systems. China leads the development of such a system. In 2020, Russia launched a digital citizen profile system, which should ensure high-quality interaction between the population, the business community and the state through the collection, processing, archiving and analysis of information from public and private sources. How the system will be used: in the name of Good or Evil depends on those who make the decision and use it. The main carrier of information about oneself is the person himself.

scholarly journals Research on the Mixed Teaching Mode of College English in the “Internet” Education Environment

2021 ◽  
Vol 236 ◽  
pp. 04002
Author(s):  
Yunhui Li
Keyword(s):  
Rapid Development ◽  
Colleges And Universities ◽  
The Internet ◽  
Financial Industry ◽  
Teaching Mode ◽  
College English ◽  
English Teaching ◽  
Internet Education ◽  
Education Environment ◽  
Education Industry

China has entered the 21st century, the Internet has entered an era of rapid development, especially in recent years, with the emergence of five G, China’s Internet development has entered a new journey, with the rapid development of the Internet, China’s various industries can not do without the Internet, whether real estate, financial industry or even education industry. In recent years, under the influence of the newly created “Internet” education model, the English teaching methods of major colleges and universities have also undergone great reform. A new teaching mode, which combines the means of past education and teaching with modern information network, makes teaching no longer restricted by time and space. This kind of teaching mode can not only improve students’ interest in learning, meet the needs of modern students, but also improve the quality of English teaching in colleges and universities. This paper further discusses the mixed teaching mode of college English under the environment of Internet education.

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