# Introduction to Complexity Theory

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## Introduction[edit | edit source]

Complexity theory is the study of the resources (especially computation time and memory) required by algorithms.

## Learning Project Summary[edit | edit source]

**Project code:****Suggested Prerequisites:**- Students should be familiar with the concepts of deterministic and nondeterministic computation, and formal models of computation, such as finite state automata and Turing machines.
- Students should also be familiar with the theory of formal languages

**Time investment:****Assessment suggestions:****School:**School of Computer science**Department:**Institute for Complexity Theory**Stream****Level:**

## Goals[edit | edit source]

The introduction to complexity theory course will offer a comprehensive course in complexity theory .

## Course[edit | edit source]

Subject classification: this is a mathematics resource. |

Subject classification: this is an information technology resource. |

Educational level: this is a tertiary (university) resource. |

### Lessons[edit | edit source]

- Lesson 1—Big O Algorithm Analysis
- Lesson 2—Time Complexity
- Lesson 3—Space Complexity and Savitch's Theorem
- …

### Tests and Quizzes[edit | edit source]

- Quiz 1—Big O Quiz

### Reading Material[edit | edit source]

## Active participants[edit | edit source]

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- Kinkydarkbird 03:35, 5 January 2009 (UTC)