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)