This is the course introduction about algorithm complexity, including what "worst case running time" means and how it is measured.

Introduction to the course and algorithm complexity

The purpose of this undergraduate course is to introduce fundamental techniques and viewpoints for the design and the analysis of efficient computer algorithms, and to study important specific algorithms. The course relies heavily on mathematics and mathematical thinking in two ways: first as a way of proving properties about particular algorithms such as termination, and correctness; and second, as a way of establishing bounds on the worst case (or average case) use of some resource, usually time, by a specific algorithm. The course covers some randomized algorithms as well as deterministic algorithms.

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Introduction to the course and algorithm complexity

Introduction to the course and algorithm complexity