Lecture notes :
Business Economics
Course schedule &
material
Course
Objective：
Economics and intelligence are two of
the most important research dimensions of the Web and e-Commerce
areas. This course introduces and integrates both economic and
computational methods to study the roles of information and network
technologies in the emerging digital/Internet economy. By the end of
the semester, each graduate student is expected to have a broad
understanding of the methodologies, technologies, themes, and
research questions that identify the core identity of the network
and business research fields.
Course
Outlines：
-
Economic
methodologies for the information systems (competition strategy
analysis and incentive mechanism design)
-
Economics of
networks (telecommunication, content distribution networks, IT
industries)
-
Economics of
electronic commerce (electronic negotiation, auctions,
exchanges)
-
Intelligence
technologies for the information systems (computational
intelligence, multi-agent technologies)
-
Intelligence of
the Web (web-based social networks, trust networks, semantic
web, etc)
-
Intelligence of
e-business/e-commerce (bargaining, coordinating, recommendation
applications. etc)
Reference
Book(s)：
-
Shy,
Oz. 1996. Industrial Organization: Theory and Applications.
MIT Press.
-
Nir Vulkan, 2003, The Economics of
E-Commerce, Princeton University Press
-
Shy,Oz,
2001, The Economics of Network Industries. Cambridge
-
Negnevitsky,
M. 2005. Artificial Intelligence- a Guide to Intelligence
Systems. Addison Welsley
-
Weiss, G. 2000,
Multiagent Systems: A Modern Approach to Distributed Artificial
Intelligence
Grading：
-
Homework (20%)
-
Participation
(20%)
-
Presentation
(30%)
-
Term Project
(30%)
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