COMPM041 - Web EconomicsNote: Whilst every effort is made to keep the syllabus and assessment records correct, the precise details must be checked with the lecturer(s).
- COMPM041 (Also taught as: COMPGW02)
- Normally offered only to students in computer science related programmes because basic programming skills are required.
- Taught By
- Ingemar Cox (50%)
- Jun Wang (50%)
The course is intended to provide an introduction of the computing systems and their economics for the production, distribution, and consumption of (digital) goods and services over the Internet and web. While the basic economic principles are covered to understand the business aspects of web-based services, the course is primarily focused on the computational and statistical methods for implementing, improving and optimizing the internet-based businesses, including algorithmic mechanism design, online auctions, user behavior targeting, yield management, dynamic pricing, and cloud-sourcing and attention economics. Practical applications such as Google’s online advertising, Ebay’s online auction, and Amazon’s cloud computing will also be covered and discussed.
- Learning Outcomes
The students are expected to master both the theoretical and practical aspects of web economics. More specifically, the student will:
1. understand basic economic principles and computational methods for the production, distribution, and consumptions of digital goods and services online,
2. understand the computational methods/models to mange and optimize the Internet-based businesses,
3. understand the challenges and techniques for the emerging topics such as computing as service and attention economics,
4. be able to formulate research questions that are relevant to internet-based businesses and use the tools of economics and computational techniques to provide answers to them, and,
5. be familiar with important work in the field.
1. Web basic: HTTP, HTML5 referrer, Link and Click-through analysis, etc
2. Basic Economic Principles and Economic analysis:
a. Micro vs. Macro economics
b. Basic elements of Supply and Demand
3. Incentives: Game theory, and Auction theory
4. Business Models in the Internet: a. auction and bidding (the Ebay Model, swoopo, and b2c and b2b auctions (alibaba) b. Subscription (Compulsory license, dropbox premier model, spotify, apple icloud, pay per use). c Online retailing (Amazon, Apple Apps). d. digital goods & bundling
5. Computational advertising
a. Vickrey auction and the second price auction
b. Search-based advertising, Contextual advertising and Behaviour targeting, Demand-side platform and Real-time bidding, Ad exchange and futures and options
6. Digital Right Management, Spam/fraud control and Internet radio
7. Computing as a service/utility
Management and optimization
8. Dynamical pricing models (air-tickets) and Yield management and scheduling (online advertising)
9. Search engine optimization
10. Attention economics and Personalization and Long tail
11. Prediction market and its accuracy
12. Human computing and Social computing systems
a. Cloud sourcing and Amazon Mechanical Turk (MTurk) and Collective intelligence
b. System design (ESP, reCAPTCHA etc)
c. Bittorrent and Peer-to-peer file sharing
Method of Delivery
A website or/and moodle webpage will be created for the course and the course materials such as lecture notes, sample codes, will be shared. By using moodle, students will also be able to discuss relevant ideas and have questions answered by the lecturer.
Written examination 2.5 hours (70%)
To pass the module students must achieve a mark of 50% when all sections are combined
 Noam Nisan (Editor), Tim Roughgarden (Editor), Eva Tardos (Editor), Vijay V. Vazirani (Editor), Algorithmic Game Theory, Cambridge University, 2007.
 David Easley and Jon Kleinberg, Networks, Crowds, and Markets: Reasoning About a Highly Connected World, Cambridge University Press, 2010
 R. Preston McAfee, Introduction to Economic Analysis www.mcafee.cc/Introecon/IEA.pdf
 Nir Vulkan, The Economics of e-Commerce, Princeton University Press, 2003
 Carl Shapiro, Hal R. Varian, Information rules: a strategic guide to the network economy, 1999
 Brian Clifton, Advanced Web Metrics with Google Analytics (3rd Edition)
Sara Andersson: http://www.search-integration.se/in-english