Course Description :
This course focuses on information as quantity, resource, and property. We study the application of quantitative methods to understanding how information technologies inform issues of public policy, regulation, and law. How are music, images, and telephone conversations represented digitally, and how are they moved reliably from place to place through wires, glass fibers, and the air? Who owns information, who owns software, what forms of regulation and law restrict the communication and use of information, and does it matter? How can personal privacy be protected at the same time that society benefits from communicated or shared information.
Other Resources :
These video lectures are licensed under Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported License by Harvard University.
Other Computer Science Courses
- Introduction To Problem Solving, Programming by IIT Kanpur
- The Beauty and Joy of Computing by UC Berkeley
- Artificial Intelligence I by Other
- Design Verification and Test of Digital VLSI Circuit by IIT Guwahati
- Computer Science III: Programming Paradigms by Stanford
- Computer Graphics by IIT Madras
- Computer Science I: Programming Methodology by Stanford
- Computer Algorithms by IIT Kanpur
- Low Power VLSI Circuits and Systems by IIT Kharagpur
- Computer Graphics,Fall 2011 by Other
» check out the complete list of Computer Science lectures
Computer Science Lecture Notes
- Software Engineering and Security by Athens University of Economics and Business
- CS345 Data Mining and Clustering by Stanford
- Information Retrieval by University of Massachusetts
- CPS 140 Computer Science by Duke University
- CSE 373/548: Analysis of Algorithms by Stony Brook University
- Pixels, Numbers, and Programs by University of Washington
- Introduction to Java Development by N/A
- CS 696 Emerging Technologies: Java Distributed Computing by UC San Diego
- CS368: Java for C++ Programmers by University of Wisconsin