The Complete Theory of Computation

The Complete Theory of Computation, available at $79.99, has an average rating of 4.59, with 101 lectures, 1 quizzes, based on 524 reviews, and has 2450 subscribers.

You will learn about Be able to describe languages according to formal systems such as automata and context-free grammars Master the fundamentals of Turing machines Know the capabilities and limits of computing Master solving NP complete problems Understand Finite Automata and Bidirectional Automata in depth: DFA, NFA, PDA and many more! Learn to classify problems within the Chomsky hierarchy Learn the classification of problems on decidability Know the Morphisms and Substitutions of Regular Languages Hundreds of practical exercises with solutions and quizzes This course is ideal for individuals who are Anyone interested in working in the computer science sector or Engineering, science or math students or Computer engineers who need to specialize in the computational field or Self-taught developers who want to get a job in the computer science sector It is particularly useful for Anyone interested in working in the computer science sector or Engineering, science or math students or Computer engineers who need to specialize in the computational field or Self-taught developers who want to get a job in the computer science sector.

Enroll now: The Complete Theory of Computation

Summary

Title: The Complete Theory of Computation

Price: $79.99

Average Rating: 4.59

Number of Lectures: 101

Number of Quizzes: 1

Number of Published Lectures: 97

Number of Published Quizzes: 1

Number of Curriculum Items: 102

Number of Published Curriculum Objects: 98

Original Price: 219.99

Quality Status: approved

Status: Live

What You Will Learn

Be able to describe languages according to formal systems such as automata and context-free grammars

Master the fundamentals of Turing machines

Know the capabilities and limits of computing

Master solving NP complete problems

Understand Finite Automata and Bidirectional Automata in depth: DFA, NFA, PDA and many more!

Learn to classify problems within the Chomsky hierarchy

Learn the classification of problems on decidability

Know the Morphisms and Substitutions of Regular Languages

Hundreds of practical exercises with solutions and quizzes

Who Should Attend

Anyone interested in working in the computer science sector

Engineering, science or math students

Computer engineers who need to specialize in the computational field

Self-taught developers who want to get a job in the computer science sector

Target Audiences

Anyone interested in working in the computer science sector

Engineering, science or math students

Computer engineers who need to specialize in the computational field

Self-taught developers who want to get a job in the computer science sector

You’ve just stumbled upon the most complete, in-depth Theory of Computation course online.

Whether you want to:

– build the skills you need to get into Computer Science field

– move to a more senior software developer position

– become a computer scientist mastering in computation

– or just learn theory of computation to be able to create your own advanced programs

this complete Theory of Computation Masterclass is the course you need to do all of this, and more.

This course is designed to give you the Theory of Computation knowledge and  skills you need to become an advanced developer. By the end of the course, you will understand Theory of Computation extremely well and be able to build your own computation projects and be productive as a computer scientist and software developer.

What makes this course a bestseller?

Like you, thousands of others were frustrated and fed up with fragmented Youtube tutorials or incomplete or outdated courses which assume you already know a bunch of stuff, as well as thick, college-like textbooks able to send even the most caffeine-fuelled coder to sleep.

Like you, they were tired of low-quality lessons, poorly explained topics, and confusing info presented in the wrong way. That’s why so many find success in this complete Theory of Computation course. It’s designed with simplicity and seamless progression in mind through its content.

This course assumes no previous coding experience and takes you from absolute beginner core concepts. You will learn the core Computation skills and master computer science. It’s a one-stop shop to learn Theory of Computation. If you want to go beyond the core content you can do so at any time.

Here’s just some of what you’ll learn

(It’s okay if you don’t understand all this yet, you will in the course)

Programming Language Theory (PLT)

Turing Machines

Finite Automata

Non-Regular Languages

Equivalence between NFA and DFA

Linear Equations Between Languages

Deterministic Pushdown Automata

Nondeterministic Pushdown Automata

Closing Properties of CFLs and DCFLs

Bidirectional Automata

Chomsky Hierarchy

Morphisms and Substitutions of Regular Languages

Computability of Functions

NP-complete Problems

Computational Reductions

Rice’s theorem

S-M-N theorems

Minimization Algorithm

What if I have questions?

As if this course wasn’t complete enough, I offer full support, answering any questions you have 7 days a week (whereas many instructors answer just once per week, or not at all).

This means you’ll never find yourself stuck on one lesson for days on end. With my hand-holding guidance, you’ll progress smoothly through this course without any major roadblocks.

There’s no risk either!

This course comes with a full 30-day money-back guarantee. Meaning if you are not completely satisfied with the course or your progress, simply let me know and I’ll refund you 100%, every last penny no questions asked.

You either end up with Computation skills, go on to develop great programs and potentially make an awesome career for yourself, or you try the course and simply get all your money back if you don’t like it…

You literally can’t lose.

Ready to get started, developer?

Enroll nowusing the “Add to Cart” button on the right, and get started on your way to creative, advanced Computation brilliance. Or, take this course for a free spin using the preview feature, so you know you’re 100% certain this course is for you.

See you on the inside (hurry, Theory of Computation is waiting!)

Course Curriculum

Chapter 1: Course Introduction

Lecture 1: Main Topics of the Course

Chapter 2: Language Theory

Lecture 1: Introduction to Language Theory

Lecture 2: Alphabets and Words

Lecture 3: Operations between Words

Lecture 4: Concept of Language

Lecture 5: Concatenation of Languages

Lecture 6: Power of a Language

Lecture 7: Kleene Closure

Lecture 8: Reverse of Words and Languages

Lecture 9: Morphism

Lecture 10: Rule of Replacement

Chapter 3: Language Theory Problems

Lecture 1: Problem 1 – Module A

Lecture 2: Problem 1 – Module B

Lecture 3: Problem 1 – Module C

Lecture 4: Problem 1 – Module D

Lecture 5: Problem 2

Lecture 6: Problem 3

Lecture 7: Problem 4

Lecture 8: Problem 5

Lecture 9: Problem 6

Lecture 10: Problem 7

Chapter 4: Finite Automata

Lecture 1: Deterministic Finite Automata (DFA)

Lecture 2: Language of a DFA

Lecture 3: Nondeterministic Finite Automata (NFA)

Chapter 5: Finite Automata Problems

Lecture 1: Problem 1

Lecture 2: Problem 2

Lecture 3: Problem 3

Lecture 4: Problem 4

Lecture 5: Problem 5

Lecture 6: Problem 6

Lecture 7: Problem 7

Lecture 8: Problem 8

Lecture 9: Problem 9

Lecture 10: Problem 10

Lecture 11: Problem 11

Lecture 12: Problem 12

Chapter 6: Context Free Grammars (CFG)

Lecture 1: Introduction to Context Free Grammars

Lecture 2: Language generated by a CFG

Lecture 3: Operations between Context Free Languages

Chapter 7: Context Free Grammars (CFG) Problems

Lecture 1: Problem 1

Lecture 2: Problem 2

Lecture 3: Problem 3

Lecture 4: Problem 4

Lecture 5: Problem 5

Lecture 6: Problem 6

Lecture 7: Problem 7

Lecture 8: Problem 8

Lecture 9: Problem 9

Lecture 10: Problem 10

Lecture 11: Problem 11

Lecture 12: Problem 12

Lecture 13: Problem 13

Lecture 14: Problem 14

Chapter 8: Regular Expressions

Lecture 1: Introduction to Regular Expressions

Lecture 2: Pumping Lemma

Lecture 3: Pumping Lemma Demonstrations

Chapter 9: Regular Expressions Problems

Lecture 1: Problem 1

Lecture 2: Problem 2

Lecture 3: Problem 3

Lecture 4: Problem 4

Lecture 5: Problem 5

Lecture 6: Problem 6

Lecture 7: Problem 7

Lecture 8: Problem 8

Lecture 9: Problem 9

Lecture 10: Problem 10

Lecture 11: Problem 11

Chapter 10: Pushdown Automata (PDA)

Lecture 1: Definition of Pushdown Automata (PDA)

Chapter 11: Pushdown Automata Problems

Lecture 1: Problem 1

Lecture 2: Problem 2

Lecture 3: Problem 3

Lecture 4: Problem 4

Lecture 5: Problem 5

Lecture 6: Problem 6

Lecture 7: Problem 7

Lecture 8: Problem 8

Lecture 9: Problem 9

Chapter 12: Turing Machines

Lecture 1: Fundamentals of the Turing Machine

Lecture 2: Formalization of the Turing Machine

Chapter 13: The Halting Problem – Reductions – Advanced Computing

Lecture 1: The Halting Problem

Lecture 2: Proof K is Semidecidable

Lecture 3: Proof HALT is Semidecidable

Lecture 4: Problem 1

Lecture 5: Problem 2

Lecture 6: Problem 3

Lecture 7: Problem 4

Instructors

Lucas Bazilio
Engineer and Mathematician

Rating Distribution

1 stars: 8 votes

2 stars: 5 votes

3 stars: 32 votes

4 stars: 183 votes

5 stars: 296 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!