Algorithms & Economics of the Internet, CSCI-GA.3033-003
page for the course.
Instructors. Vahab Mirrokni (Google Research) and
Richard Cole (NYU)
Contact info: mirrokni_at_gmail.com;
417 WWH, tel: 998-3119.
Instructional Assistant. Long Yang, email@example.com.
Class time. 5:10-7:00pm, Thursday, room 202 WWH.
Thursday, January 30.
We will be studying algorithmic and economic
problems related to Internet search, online
advertizing, social networks, and online markets. We
will discuss important economic aspects: the ideas
behind Internet ad auctions, and the game theoretic
analysis of self-interested agents interacting over
the Internet. We will also cover the central
algorithmic ideas behind the large-scale analysis of
the huge data sets supporting Internet search. Our
goal is to obtain a rigorous understanding of the
properties of such environments and to explore these
properties to solve the data mining and optimization
problems emerging in these environments. The main
areas include computational economics, computational
advertising, (social) network analysis, commerce
applications, and large-scale distributed
or a similar algorithms course; Mathematical Techniques For CS
Applications, or knowledge of linear algebra and discrete
Assessment. Homework 40%; reading from the literature
with brief written reports 10%; final project: this will likely
be an implementation project, but could also be a survey paper
or even a research paper; all groups will make a 5-10 minute
presentation at the final class session.
Academic Integrity. Please take note of
the course and departmental policy on this matter: http://www.cs.nyu.edu/web/Academic/Undergrad/academic_integrity.html
Required text. None.
Homework 2 addendum
S. Brin, L. Page, The
Anatomy of a HyperTextual Web Search Engine, WWW 1998.
R. Andersen, C. Borgs, J. Chayes, J. Hopcroft, K. Jain, V.
Mirrokni, S. Teng,
Robust PageRank and Locally Computable Spam Detection Features,
Last modified: April 17, 2014