Subscribe to feed
Lights off 
SEE: Guide to Download Harvard Video Lecture
Lecture Details :
C. Source code. Compilers. Object code. SSH. SFTP. GCC. Functions. Comments. Standard output. Arithmetic operators. Precedence. Associativity. Local variables. Types. Casting. Standard input. Libraries. Boolean expressions, continued. Conditions, continued. Loops, continued. More at http://cs50.tv/.
Course Description :
Introduction to the intellectual enterprises of computer science and the art of programming. This course teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, encapsulation, data structures, databases, memory management, software development, virtualization, and websites. Languages include C, PHP, and JavaScript plus SQL, CSS, and XHTML. Problem sets inspired by real-world domains of biology, cryptography, finance, forensics, and gaming. Designed for concentrators and non-concentrators alike, with or without prior programming experience.
Other Resources :
Citation |
These video lectures are licensed under Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported License by Harvard University.
Other Computer Science Courses
- Dreamweaver by Other
- Computer Science 61B by UC Berkeley
- Logic for Computer Science by IIT Delhi
- Digital Computer Organization by IIT Kharagpur
- Artificial Intelligence: Introduction to Robotics by Stanford
- Graph Theory by IISc Bangalore
- An Introduction To Parallel Programming by Other
- Cryptography and Network Security by IIT Kharagpur
- Systems Analysis and Design by IISc Bangalore
- Oracle Databae by Other
» check out the complete list of Computer Science lectures
Computer Science Lecture Notes
- Pixels, Numbers, and Programs by University of Washington
- CSE 373/548: Analysis of Algorithms by Stony Brook University
- Software Engineering and Security by Athens University of Economics and Business
- Information Retrieval by University of Massachusetts
- CS 696 Emerging Technologies: Java Distributed Computing by UC San Diego
- CS345 Data Mining and Clustering by Stanford
- CPS 140 Computer Science by Duke University
- Introduction to Java Development by N/A
- CS368: Java for C++ Programmers by University of Wisconsin