Free Download Principles in Theory of Computation
Published 12/2023
Created by Dr. Kowsigan Mohan
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 45 Lectures ( 6h 36m ) | Size: 2.65 GB
Automata Theory, Computability Theory, Computational Complexity Theory
What you'll learn
Understanding the operation of Finite Automata and Hierarchy of Grammars in solving the problems
Examining the Grammars and Languages using Pumping Lemma
Design Pushdown Automata for Computational Logic
Design Turing Machine for general purpose computer operations
Evaluate decidability, undecidabilty and Polynomial class of Problems
Requirements
Basic Mathematical Knowledge
Description
Theoretical Computer Science is a field where all the real world computational problems come under it. Theoretical Computer Science is also called as Theory of Computation. Theory of computation speaks about "How efficiently the real world problems can be solved by using an algorithm in a model of computation. The model of computation denotes any mathematical model which is embedded on any electronic hardware through the software. Theory of computation is divided in to three sub fields. They are automata theory, computability theory and computational complexity theory. Automata theory denotes the study of problem solving in abstract machines. Here the abstract machines are called as mathematical model rather than it's not a hardware. Automata theory has various types of automata such as Deterministic Finite Automata, Non-deterministic finite automata, Pushdown Automata and Linear Bounded Automata. These entire automata can be performed in a single hardware called "Turing Machine". Till now nobody proved that, a problem that cannot be solved by a Turing Machine can be solved by a real world computer. The Computability speaks about "what are all the problems can be solved by a computer and cannot be solved by a computer". This is called as decidability and un-decidability. The computational complexity theory speaks about "how much time and space an algorithm takes to solve a problem. This is called as Time and Space Complexity. These are the topics are discussed in this course "Principles in Theory of Computation".
Who this course is for
Learner who is interested in theoretical computer Science
Learner who is interested in solving real world problems
Learner who is interested in developing a programming language
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