【25周年校庆】数据工程应用与技术人才培养国际研讨会

时间:2017-09-24浏览:39设置

随着应用性数据规模的迅速增大,数据工程学科领域及其对工程师和专家在这方面的技术培训显得尤为重要。当前迫切需要开展相关方面的科研和教学实践,落实到具体的项目中, 比如开设在不同应用领域的、不同形式的数据工程课程和教学活动。

本次研讨会主要侧重于探讨目前在该领域内所面临的问题,邀请专家展示成功的应用案例,演示数据工程和技术方面的亮点、经验和教训,对数据工程在各个应用领域中的实践,教育思想和培训方法进行广泛的交流。

With the rapid development of the application data size, it appears to be particularly important of the data engineering subject area and the technical training for engineers and experts in this area.  It’s urgent to carry out correlative scientific researches and teaching practices, and put them into the specific projects, Such as establishing data engineering courses and teaching activities in different applications and forms.
This seminar is mainly focused on discussing the facing problems in this area, inviting experts to showcasing successful application case, demonstrating the highlights, experiences and lessons of the data engineering and technical aspects and communicating widely in the practice of data engineering in various applications fields, education thought and training method.

一、会议主题:

数据工程应用与技术人才培养国际研讨会
International Workshop on Data Engineering Application & Education

二、会议时间:

2017年9月24日(星期日)9:00-17:30

September 24 9:00am-05:30pm, 2017

三、会议地点:

6号楼6306会议室

Rome 6306

四、主办方:

上海杉达学院 信息科学与技术学院
Sponsored by College of Information Science and Technology, Sanda University

五、演讲题目:

Salim Roukos:Recent Successes in Natural Language Processing with Deep Learning Methods

X. Sean Wang:Exploratory Big Data Analytics

Srinivas Padmanabhuni:Artificial Intelligence: Emerging Opportunities, Threats and business implications

潘曙明Application and thinking of medical big data

倪军The role of intelligent mobile devices in elderly health care information system

汪鹏Food safety cloud: the exploration and practice of big data in the field of food

Rangarajan Vellamore: Changing Trends in Technology EcoSystem in SMAC Era

Mikko Himanka:Education and research as BEST FRIENDS - Some practices and learned lessons in European context

Foad Marzough: rchitecture of Navigational Support System

尹栋Big data application in finance

陈瑛: Data Enineering in Sanda University    

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