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  1. Automata Theory is an exciting, theoretical branch of computer science. It established its roots during the 20th Century, as mathematicians began developing - both theoretically and literally - machines which imitated certain features of man, completing calculations more quickly and reliably. The word automaton itself, closely related to the ...

  2. Automata Theory. You get a signed SoA from the instructor if you get 50% of the marks (roughly half for homework, half for the final). An SoA with Distinction requires 85% of the marks. The class is self-contained, and you are not expected to purchase or steal a textbook. However, should you wish to do so, the textbook that matches the course ...

  3. automata theory, body of physical and logical principles underlying the operation of any electromechanical device (an automaton) that converts information from one form into another according to a definite procedure. Real or hypothetical automata of varying complexity have become indispensable tools for the investigation and implementation of ...

  4. Theory of Automata. Theory of automata is a theoretical branch of computer science and mathematical. It is the study of abstract machines and the computation problems that can be solved using these machines. The abstract machine is called the automata. The main motivation behind developing the automata theory was to develop methods to describe ...

  5. Deterministic finite automata (DFAs) and nondeterministic finite automata (NFAs) 4 NFAs and regular expressions 5 Non-regular languages and the pumping lemma 6 Turing machines 7 Decidability 8 Undecidable problems and Post correspondence problem (PCP) 9 Mapping reducibility and Rice’s theorem 10

  6. This course provides a challenging introduction to some of the central ideas of theoretical computer science. Beginning in antiquity, the course will progress through finite automata, circuits and decision trees, Turing machines and computability, efficient algorithms and reducibility, the P versus NP problem, NP-completeness, the power of randomness, cryptography and one-way functions ...

  7. At Automata, we believe that in order to usher in the coming genomics revolution, labs need to think about automation differently. They need to embrace open, integrated automation, allowing lab workers to enjoy full walkaway time by robotically and digitally connecting steps in genomics workflows.

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