Computers Free Audio & Video

In 40 episodes, Carrie Anne Philbin teaches you computer science! This course is based on introductory college-level material as well as the AP Computer Science Principles guidelines.

Introduction to the intellectual enterprises of computer science and the art of programming.

This subject is aimed at students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems.

This course is all about understanding: understanding what's going on inside your computer when you flip on the switch, why tech support has you constantly rebooting your computer, how everything you do on the Internet can be watched by others...

When the Conficker computer "worm" was unleashed in 2008, security experts were dumbfounded. Through a Windows security flaw, the worm infected 12 million computers, including machines vital to air traffic and banking systems.

Basic system concepts; state-space and I/O representation. Properties of linear systems. Controllability, observability, minimality, state and output-feedback. Stability. Observers. Characteristic polynomial. Nyquist test.

Taught by UC Davis computer science professor Dan Gusfield, tthis undergraduate course introduces fundamental techniques and viewpoints for the design and the analysis of efficient computer algorithms, and to study important specific algorithms.

6.002 is designed to serve as a first course in an undergraduate electrical engineering (EE), or electrical engineering and computer science (EECS) curriculum.

This course provides a comprehensive introduction to computer graphics. Focuses on fundamental concepts and techniques, and their cross-cutting relationship to multiple problem domains in graphics (rendering, animation, geometry, imaging).

An algorithm is a well-defined procedure for carrying out some computational task. Typically the task is given, and the job of the algorithmist is to find such a procedure which is efficient, for example in terms of processing time and/or memory consumption.