Computational Theory: Using Turing, Transducers, & Complexity Classes
Computational Theory
| Intermediate
- 12 Videos | 46m 6s
- Includes Assessment
- Earns a Badge
Discover the concepts of pushdown automata, Turing machines, and finite transducers in this 12-video course, in which learners can examine how to identify limitations and complexities in computation and how to apply P and NP classes to manage them. Begin by recalling the machine learning analytical capabilities of grammar, then look at context-free grammar normal forms, using Chomsky normal forms and Greibach normal forms to manage context-free grammars. Describe pushdown automata and features of nondeterministic pushdown automata. This leads on to Turing machines, their capabilities, and the prominent variations in the building themes of Turing machines. Learners explore the concept of finite transducers, and the types of finite transducers. Recall the underlying limitations of computations and the limitations of computational theory, and the complexities of computation, computational theory complexities, and how it can impact Turing machine models and language families. Learn about handling computation complexities with P class and handling computation complexities with NP class. The concluding exercise involves describing properties and variations of Turing machines, types of finite transducers, and properties of recursively enumerable languages.
WHAT YOU WILL LEARN
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recall the analytical capabilities of grammaruse Chomsky normal forms and Greibach normal forms to manage context-free grammarsdescribe pushdown automata and the features of non-deterministic pushdown automatadescribe Turing machines and their capabilitieslist the prominent variations of themes that can be used to build Turing machinesdescribe finite transducers and list the prominent types
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recall the underlying limitations of algorithmic computationsrecognize how computational complexities can impact Turing machine models and language familiesrecall how to manage computational complexities using P and NP classesdefine recursive and recursively enumerable languages and their essential propertiesdescribe properties and variations of Turing machines, types of finite transducers, and properties of recursively enumerable language
IN THIS COURSE
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1.Course Overview1m 50sUP NEXT
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2.Analytical Capabilities of Grammar4m 46s
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3.Normal Forms in Context-Free Grammar4m 44s
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4.Pushdown Automata3m
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5.Turing Machines4m 21s
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6.Turing Machine Themes4m 7s
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7.Finite Transducers Types3m 47s
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8.Computation Limitations5m 52s
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9.Computational Complexity6m 7s
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10.P and NP Class2m 57s
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11.Recursively Enumerable Languages2m 51s
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12.Exercise: Turing Machines and Finite Transducers1m 46s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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