Algorithmic complexity refers to the measure of the amount of resources, such as time and space, required by an algorithm to solve a problem. It is used to analyze and compare different algorithms based on their efficiency and performance. This concept is crucial in computer science and helps in designing efficient algorithms for various computational tasks.
UC Berkeley
Summer 2022
A gentle, thorough introduction to computer science, starting with block-based language Snap! and transitioning to Python. The course covers fundamental programming concepts and encourages application in various fields. Level: Beginner friendly.
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