Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

College student employment registration data calculation method based on cloud computing

A technology of registration data and calculation methods, applied in the field of cloud computing, can solve problems such as the inability to provide reference guidance for curriculum improvement, and achieve the effect of reducing employment rate fraud

Pending Publication Date: 2021-03-16
陈君
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] University employment statistics are not the end. Through the feedback of employed students, the courses can be further improved to make the courses more suitable for the needs of enterprises, so as to increase the employment rate of students in school and improve their competitiveness in social employment. This is the employment statistics of college students. However, the existing employment statistics of college students are only a simple employment rate statistics, which cannot provide reference guidance for curriculum improvement

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • College student employment registration data calculation method based on cloud computing
  • College student employment registration data calculation method based on cloud computing
  • College student employment registration data calculation method based on cloud computing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0053] see Figure 1-Figure 4 , this application provides a cloud computing-based calculation method for employment registration data of college students, including

[0054] Employment data registration, registering the employment information of college students;

[0055] The contents of employment data registration are as follows:

[0056] Students log on to the employment registration website to register the student's name, gender, age and major;

[0057] Submit university course transcripts;

[0058] Fill in the entry city, entry position, entry salary level and salary forecast for the next six months;

[0059] For students who sign a tripartite agreement contract, the school retains the contract as a reserve; for students who are looking for a job by themselves, students provide a copy of the employment contract for registration.

[0060] After the statistics of employment information, there is also a step of confirmation of employment information. The enterprise provi...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a college student employment registration data calculation method based on cloud computing, and the method comprises the steps that employment data registration is carried out,the registration of employment information of college students is carried out; employment information statistics is carried out, statistics is carried out on employment information registered by college students; employment information tracking is carried out, students log in a website, and employment information updating is carried out regularly; course calculation and analysis is carried out, skills and skill degree requirements urgently required by students are analyzed according to various data information of employment of the students so as to calculate the number of courses required bythe students; course planning analysis is carried out, according to skills and skill proficiency requirements urgently required by students, the number of courses required by the required skill clinker degree is calculated; course arrangement is carried out according to the number of required courses; employment analysis feedback is carried out, and data disclosure is carried out on graduated students through data analysis. According to the scheme, through cloud computing, demand skills of an enterprise from two years to ten years are predicted, so that a reference role is played for course arrangement.

Description

technical field [0001] This application relates to the technical field of cloud computing, and in particular, to a method for calculating employment registration data of college students based on cloud computing. Background technique [0002] Cloud computing is a kind of distributed computing, which refers to decomposing a huge data calculation processing program into countless small programs through the network "cloud", and then processing and analyzing these small programs through a system composed of multiple servers to obtain results and return to the user. In the early days of cloud computing, simply put, it was simple distributed computing, solving task distribution, and merging calculation results. Therefore, cloud computing is also called grid computing. Through this technology, the processing of tens of thousands of data can be completed in a very short period of time, so as to achieve powerful network services. [0003] The existing student employment registrati...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06Q50/20G06Q10/06G06F16/2458
CPCG06Q50/2057G06Q10/06315G06F16/2462
Inventor 陈君
Owner 陈君
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products