其他
【暑期学校】On-line Training Courses on Big Data & E-Commerce
直播二维码
本次课程由贵州大学大数据与信息工程学院主办，于2021年7月13日14:30开始，共计四天，授权蔻享学术进行网络直播。
Teaching language: English
Tentative Agenda
Instruction Profiles and Course Instruction
In recent years, his area of expertise mainly focuses on big data applications, blockchain, machine learning, block data, etc. He has presided 4 provincial projects and participated in national and international projects, publishing more than 30 high-quality papers. The project he presided Guiyang City Big Data Precision Assistance Platform Specification and Relevance Analysis has achieved accurate identification of the impoverished people and precise matching of poverty alleviation measures, making great contribution to the poverty alleviation work in Guiyang. Course Introduction: Application of Big Data Technology in the Field of E-commerce
Big data refers to a large-scale and diversified data information asset that has a new and efficient data processing model and has more effective optimization capabilities. This course focus on the effective application of big data technology in marketing promotion, product recommendation and risk assessment in E-commerce. Big data technology promotes marketing promotion. Effective analysis of trade date can help to accurately identify the deficiencies in the past marketing pattern, and accordingly more effective marketing measures can be adopted. Big data technology contributes to product recommendation. The big data technology can make the e-commerce interactive platform more functional. The E-commerce interactive platform can accurately recommend products to customers by recording and analyzing users’ data of browsing, clicking, and collecting, and etc. Big data technology helps to predict risks. Through tremendous data analysis, decision-makers can get relevant and effective data result about risks which can help them to make less risk decision in E-commerce operation, thus creating a sustainable environment for the development of E-commerce.
Associate Pro. Zhang LinanziAssociate Professor in College of Business Administration, Guizhou University of Finance and EconomicsMember of Neuroeconomic Management Committee of Chinese Society of Technical EconomicsCouncil Member of Neuromanagement and Neuroengineering Research Society of Chinese Society of Management Science and Engineering
Biography: Education experience:Associate Prof. Zhang Linanzi obtained Bachelor Degree of Business Administration from Beijing Normal University in 2007, Master Degree of Market Analysis from University of Southampton, UK in 2009; and Doctorate Degree of Management Science and Engineering, from Zhejiang University in 2019. She worked in College of Management, Guizhou University from 2010 to 2020. Right now, she works at College of Business Administration, Guizhou University of Finance and Economics. Course Introduction: Big Data in E-commerce Actuality and Development TrendThe course will cover three aspects, namely general introduction to the development of big data in E-commerce in the world and in China; examples about the role and impact of current big data environment on the development of E-commerce; and introduction to the prospect of development and application of coordinated E-commerce under the background of “Belt & Road”.
Associate Prof. OUYANG ZhiAssociate professor at Guizhou Provincial Institution of Development and Application of Big Data Industry, Guizhou University Biography: Dr. Zhi OUYANG graduated with Doctor of Management Science and Engineering from Xi’an Jiaotong University. He presently works as an associate professor at Guizhou Provincial Institution of Development and Application of Big Data Industry, Guizhou University. So far, he has published 13 papers, 1 treatise. His research fields include knowledge service management, big data application and governance, etc.
Course Introduction:How Does Big Data Integrate with Industry Economy This course firstly discusses the values and application of big data by introducing what big data can bring about for customers, government and corporations. Then, form the perspective of industrial chain theory, it will discuss how big data can be integrated with agriculture, industry and services.
Associate Prof. Du Nisuo Associate professor and master instructor at Guizhou Provincial Institution of Development and Application of Big Data Industry, Guizhou University
BiographyAssociate Prof. Du Nisuo obtained master’s degree of Intelligent Informatics from Kansai University, Japan in 2014 and a doctoral degree of Informatics from Kansai University, Japan in 2017. Since September 2018, he has been working at the Guizhou Provincial Institution of Development and Application of Big Data Industry, Guizhou University. His area of expertise covers data analysis, regional governance, social simulation, and artificial intelligence.
Course Introduction: The Impact of Artificial Intelligence on Global E-commerce and Case IntroductionThe course will introduce the basic knowledge and functions of artificial intelligence, and show the impact of artificial intelligence on global E-commerce by sharing application cases of artificial intelligence in E-commerce.
编辑：黄琦
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