Introduction to Complexity Theory
Introduction
Complexity theory is the study of the resources (especially computation time and memory) required by algorithms.
Learning Project Summary
- 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
The introduction to complexity theory course will offer a comprehensive course in complexity theory .
Course
| Subject classification: this is a mathematics resource. |
| Subject classification: this is an information technology resource. |
| Educational level: this is a tertiary (university) resource. |
Lessons
- Lesson 1—Big O Algorithm Analysis

- Lesson 2—Time Complexity

- Lesson 3—Space Complexity and Savitch's Theorem

- …
Tests and Quizzes
- Quiz 1—Big O Quiz

Reading Material
Active participants
Please sign below if you are participating in this topic. Use 4 tildes (~) to sign.
- Kinkydarkbird 03:35, 5 January 2009 (UTC)