Designing MBA Teaching and Management System Based on COM+Groupware Technology" /> Designing MBA Teaching and Management System Based on COM+Groupware Technology" /> Designing MBA Teaching and Management System Based on COM+Groupware Technology" /> 基于COM+组件技术的MBA网络教学管理系统的设计
Please wait a minute...
New Technology of Library and Information Service  2003, Vol. 19 Issue (3): 73-75    DOI: 10.11925/infotech.1003-3513.2003.03.21
Current Issue | Archive | Adv Search |
Designing MBA Teaching and Management System Based on COM+Groupware Technology
Ding Shengchun   Wang Yuefeng
(Institute of Economic Management of Nanjing University of Science and Technology, Nanjing 210094, China)
Download:
Export: BibTeX | EndNote (RIS)      
Abstract  

The distributing exploitation method base on COM+ groupware technology is a popular software designing method,there are many successful exploitation case in foreign, the authors pointed out a new application model of MBA teaching and management system base on COM+ groupware technology aimed to the MBA of Institute of Economic Management of Nanjing University of Science and Technology , then introduces in detail its main design thinking, function frame and its realization.

Key wordsWeb      COM+ groupware      MBA      Teaching system      Manage system     
Received: 13 August 2002      Published: 25 June 2003
ZTFLH: 

G250.73

 
Corresponding Authors: Ding Shengchun,Wang Yuefeng   
About author:: Ding Shengchun,Wang Yuefeng

Cite this article:

Ding Shengchun,Wang Yuefeng. Designing MBA Teaching and Management System Based on COM+Groupware Technology. New Technology of Library and Information Service, 2003, 19(3): 73-75.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2003.03.21     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2003/V19/I3/73


[ 1 ] 张国锋. 管理信息系统. 机械工业出版社, 2000

[ 2 ] 斯蒂芬. 哈格等著, 严建援译. 信息时代的管理信息系统. 机械工业出版社, 2000

[ 3 ] 陈霞, 潘大志, John Sonnack, 陈辰. 校园网络环境下的M IS开发策略——介绍美国明尼苏达大学的M IS 开发管理模式. 北京航空航天大学学报, 1999, (1)

[1] Xu Liangchen, Guo Chonghui. Predicting Survival Rates for Gastric Cancer Based on Ensemble Learning[J]. 数据分析与知识发现, 2021, 5(8): 86-99.
[2] Wang Hongbin,Wang Jianxiong,Zhang Yafei,Yang Heng. Topic Recognition of News Reports with Imbalanced Contents[J]. 数据分析与知识发现, 2021, 5(3): 109-120.
[3] Weng Mengjuan,Yao Changqing,Han Hongqi,Wang Lijun,Ran Yaxin. Classification and Indexing Method with CNN for Imbalanced Datasets[J]. 数据分析与知识发现, 2020, 4(7): 87-95.
[4] Xiang Fei,Xie Yaotan. Recognition Model of Patient Reviews Based on Mixed Sampling and Transfer Learning[J]. 数据分析与知识发现, 2020, 4(2/3): 39-47.
[5] Zhu Fu,Yuefen Wang,Xuhui Ding. Semantic Representation of Design Process Knowledge Reuse[J]. 数据分析与知识发现, 2019, 3(6): 21-29.
[6] Lianjie Xiao,Mengrui Gao,Xinning Su. An Under-sampling Ensemble Classification Algorithm Based on Fuzzy C-Means Clustering for Imbalanced Data[J]. 数据分析与知识发现, 2019, 3(4): 90-96.
[7] Guo Chonghui,Li Minqian. Evaluating Web Information for Ancient Villages Based on Rank Aggregation[J]. 数据分析与知识发现, 2018, 2(4): 10-19.
[8] Chen Yuan,Wang Chaoqun,Hu Zhongyi,Wu Jiang. Identifying Malicious Websites with PCA and Random Forest Methods[J]. 数据分析与知识发现, 2018, 2(4): 71-80.
[9] Jiang Cuiqing,Song Kailun,Ding Yong,Liu Yao. Identifying Potential Customers Based on User-Generated Contents[J]. 数据分析与知识发现, 2018, 2(3): 1-8.
[10] Shi Yutian,Zhu Qinghua,Zhao Yuxiang,Chen Xiaowei. Evaluating the Influence of China’s Webcast Platforms Based on Link Analysis[J]. 数据分析与知识发现, 2017, 1(9): 40-48.
[11] Hu Zhongyi,Wang Chaoqun,Wu Jiang. Identifying Phishing Websites with Multiple Online Data Sources[J]. 数据分析与知识发现, 2017, 1(6): 47-55.
[12] Li Baozhen,Wang Ya,Zhou Ke. Measuring Credibility of Social Media Contents Based on Bayesian Theory[J]. 数据分析与知识发现, 2017, 1(6): 83-92.
[13] Yin Xiangquan,Li Shuning. Analyzing Website Navigation Features of Top U.S. Academic Libraries[J]. 数据分析与知识发现, 2017, 1(3): 90-95.
[14] Wu Zhiqiang,Zhu Zhongming,Liu Wei,Zhang Wangqiang,Yao Xiaona. Retrieving 3D Models from Institutional Repository[J]. 数据分析与知识发现, 2017, 1(1): 73-80.
[15] Yang Xiaoping,Ma Qifeng,Yu Li,Mo Yuting,Wu Jia’nan,Zhang Yue. Gauging Public Opinion with Comment-Clusters[J]. 现代图书情报技术, 2016, 32(7-8): 51-59.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn