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Open Systems and Electronic Commerce

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Presentation on theme: "Open Systems and Electronic Commerce"— Presentation transcript:

1 Open Systems and Electronic Commerce
Instructor: Jeffrey Yu Tutors: Hong Pan (PhD) Zechao Shang Class Schedules: Wednesday 7:00–9:30pm, LSB LT1. Course web page: All s about the course should be sent to: This is a course combined of SEEM5770 and ECLT5840.

2 Big Data “Big data is a collection of data sets so large and complex.”
Volume, Various, Velocity, Veracity, Value “Businesses, governments and society are only starting to tap its vast potential.”

3 Big Data – a growing torrent [McKinsey Global Institute]
$600 to buy a disk drive that can store all of the world’s music. 5 billion mobile phones in used in 2010 30 billion pieces of content shared on Facebook every month 40% projected growth in global data generated per year vs 5% growth in global IT spending 235 terabytes data collected by the US Library of Congress by April 2011 15 out of 17 sectors in the United States have more data stored per company than the US Library of Congress

4 Big Data – capturing its value [McKinsey Global Institute]
$600 billion potential annual consumer surplus from using personal location data globally 60% potential increase in retailers’ operating margins possible with big data

5 Three Main Topics Data Movement: Open Systems (5 lectures)
Computer Networks and Internet Application, Transport, Network, and Link Layers Database Querying (3 lectures) Querying Databases using SQL Different database systems to handle big data. Data Analysis: Knowledge Discovery for E-Commerce (5 lectures) Introduction to Data Mining, Classification, Association Rule, and Clustering.

6 References Computer Networking: A Top-Down Approach Featuring the Internet (5th edition) by James F. Kurose and Keith W. Ross, Addison Wesley, 2009. Database System Concepts (5th Edition) by Avi Silberschatz, Henry F. Korth, and S. Sudarshan, McGraw-Hill, 2010. Introduction to Data Mining, by Pang-Ning Tan, Michael Steinbach, and Vipin Kumar, Addison Wesley, 2005. Data Mining – Concepts and Techniques (2nd Edition), by Jiawei Han and Micheline Kamber, Morgan Kaufmann, 2006. Electronic Commerce 2010 – A Managerial Perspective, by Efraim Turban, Jae K Lee, David King, Ting Peng Liang, Deborrah Turban, Prentice Hall, 2010.

7 Assessments Final-exam (December 04, 2013) 50% Important Notes:
Individual Assignments 15% (networking) Individual Assignments 15% (database) Individual Assignments 20% (data mining) Final-exam (December 04, 2013) 50% Important Notes: Pay enough attention to Honesty in Academic Work: A Guide for Students and Teachers


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