What is Computer Science? (Part 2 Algorithms, Computation, and more)

The video provides an overview of algorithms, starting with their definition and importance in programming and math. It explains the greedy algorithm using a coin example and highlights its limitations. Various algorithms like shortest path, knapsack problem, and Euclid's algorithm are discussed. The video differentiates between computer science and engineering, touching on hardware and software aspects. It delves into the theory of computation, focusing on infinite loops and proofs. The video concludes with a summary of key points and potential career paths in algorithm development.

How does the theory of computation relate to the efficiency of algorithms?

What challenges do computers face in detecting infinite loops?

What prerequisites are mentioned for studying the theory of computation?