{"title":"时间序列分析课程实验平台的开发与应用","authors":"Shenglan Peng, Yunhua Weng","doi":"10.1109/ICSESS54813.2022.9930286","DOIUrl":null,"url":null,"abstract":"With the development of information technology, the content and means of the current statistics practice course can no longer meet the teaching needs. In order to strengthen the experimental practice courses according to the requirement of “advanced, innovative and challenging,” taking the time series analysis practice course as an example, an experimental platform based on R-shiny application was designed and developed. The platform has an interactive interface with good user experience and provides all the steps required to complete the basic experiments as well as end-to-end advanced data analysis services to meet the needs of teaching and research including case studies and empirical analysis.","PeriodicalId":265412,"journal":{"name":"2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development and Application of Experimental Platform for Time Series Analysis Course\",\"authors\":\"Shenglan Peng, Yunhua Weng\",\"doi\":\"10.1109/ICSESS54813.2022.9930286\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the development of information technology, the content and means of the current statistics practice course can no longer meet the teaching needs. In order to strengthen the experimental practice courses according to the requirement of “advanced, innovative and challenging,” taking the time series analysis practice course as an example, an experimental platform based on R-shiny application was designed and developed. The platform has an interactive interface with good user experience and provides all the steps required to complete the basic experiments as well as end-to-end advanced data analysis services to meet the needs of teaching and research including case studies and empirical analysis.\",\"PeriodicalId\":265412,\"journal\":{\"name\":\"2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)\",\"volume\":\"79 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSESS54813.2022.9930286\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 13th International Conference on Software Engineering and Service Science (ICSESS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSESS54813.2022.9930286","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development and Application of Experimental Platform for Time Series Analysis Course
With the development of information technology, the content and means of the current statistics practice course can no longer meet the teaching needs. In order to strengthen the experimental practice courses according to the requirement of “advanced, innovative and challenging,” taking the time series analysis practice course as an example, an experimental platform based on R-shiny application was designed and developed. The platform has an interactive interface with good user experience and provides all the steps required to complete the basic experiments as well as end-to-end advanced data analysis services to meet the needs of teaching and research including case studies and empirical analysis.