Introduction to Theory of Computation (2020)
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The intent of the Introduction to Theory of Computation Knowledge Unit is to provide students with the basic knowledge of finite automata and their application to computation.
Contents
Outcomes[edit]
After completing the KU, students will be able to:
- Describe the theory of abstract machines or automata and what can be computed with them.
- Differentiate the characteristics of computable and non-computable functions.
- Describe the concept of complexity and quantify the resources required for computation of basic problems.
Topics[edit]
- Automata
- Turing machines
- Deterministic and non-deterministic finite automata
- Formal language theory
- Computability and non-computability
- Turing computability
- Analysis of Algorithms
- Complexity measures
- time and storage
- communications
- numbers of processors
- Big O notation
- Best, worst, and average complexity
- Upper and lower bounds on complexity
- Classes of Complexity
- P and NP
- Intractability
Skills[edit]
NICE Framework Categories[edit]
CSEC 2017 Categories[edit]
Specialization Areas[edit]
none
See also[edit]
Related Knowledge Units
Further reading[edit]
Suggested textbooks[edit]
Suggested academic readings[edit]
Sample knowledge test[edit]
Sample skills test[edit]
Sample abilities test[edit]
Additional notes or materials[edit]
Contacts[edit]
Reference ID[edit]
ITC