CS 486 resources:
Potential final exam topics can be found here.
Answers to the midterm can be found
Potential exam topics can be found here.
Some links to advice on developing a business plan:
advice on starting a small business.
- Sample business plans and
advice on chafting a business plan. Includes information on e-commerce
businesses. Some fluff and jargon, and some useful info.
- A nice
example of a business plan for a Spanish-language Web-based
medical info business.
example of a business plan to provide secure distribution of
electronic music over the Web. (see if you can find any holes in their
- Interactive Business Planner
A Web-based tool to help you organize the information neeed for a
business plan. This could be very helpful in your assignment.
- An introduction to PGP and
public-key encryption. Lots of information on how public-key and
PKI systems work. Not much detail on why public-key encryption is
- Laudon - ch5: Overview of current technology. Also talks about
SSL, VeriSign, the infrastructure problems with security, and how it
applies to e-commerce. Nice overview, not too technical.
- RSA faq -
more technical detail on generating keys.
- In particular, RSA labs has a
very nice explanation of the difficulty of
factoring large numbers, using Moore's Law to estimate future security.
brief explanation of the mathematics of RSA, including an example.
- distributed.net An online
community devoted to developing massively distributed applications for
breaking cryptographic protocols, including DES and RC5.
of online resources about cryptography and security.
- the International PGP homepage.
white paper from Sun that provides a nice overview of PKI.
collection of links about Public Key Infrastructure.
- A fun
paper by Fagin, Naor, and Winkler on zero-information protocols.
paper describing the implementation of RC5.
Search Engines and the Structure of the Web
Trust and Reputation
- Shopbots/Price-finding agents.
- Recommender Systems
et al: Recommender Systems in E-commerce. WHy recommenders are
useful for e-commerce.
Combining Content-based and Collaborative Recommendation Marko
Balabanovic and Yoav Shoham. A nice overview of the strengths and
weaknesses of different types of recommender systems.
is an article from Discover about social networks. The authors use
Amazon's "People who liked this book liked ..." feature to identify
communities or cliques of books read by the same people.
- Data Mining
- Game Theory Intro:
- Learning in Games
- Basics of Market Mechanisms
- Automated Contracting:
Economics of Information