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
- Programming Languages and Compilers by UC Berkeley
- Digital Circuits and Systems by IIT Madras
- Objective C Programming by Other
- Internet Technology by IIT Kharagpur
- Artificial Intelligence: Introduction to Robotics by Stanford
- Low Power VLSI Circuits and Systems by IIT Kharagpur
- Java Game Development by Other
- CSEP 503 Principles of Software Engineering by University of Washington
- Understanding Computers and the Internet by Harvard
- Numerical Analysis and Computer Programming by IIT Madras
» check out the complete list of Computer Science lectures
Computer Science Lecture Notes
- CS345 Data Mining and Clustering by Stanford
- Introduction to Java Development by N/A
- Information Retrieval by University of Massachusetts
- Pixels, Numbers, and Programs by University of Washington
- CPS 140 Computer Science by Duke University
- Software Engineering and Security by Athens University of Economics and Business
- CS 696 Emerging Technologies: Java Distributed Computing by UC San Diego
- CS368: Java for C++ Programmers by University of Wisconsin
- CSE 373/548: Analysis of Algorithms by Stony Brook University