What are the mathematics behind computers? What are the theoretical foundations of computer languages? Such questions can be explored by understanding formal languages and automata models.
In this comprehensive course, you’ll explore formal languages, regular languages, and how to model them with their associated automata models. Next, you’ll cover regular expressions and grammar, and their equivalents. Then, you’ll explore context-free languages (the foundations of programming languages), pushdown automata, and the relationship between them. Toward the end, you’ll learn about recursively enumerable languages, Turing machines with their variations, context-sensitive languages, and unrestricted grammars.
By the end of the course, you’ll have gained a deep understanding of several formal languages and their associated automata. Also, since there are plenty of exercises throughout the course, your understanding and problem-solving skills will be thoroughly reinforced.
What are the mathematics behind computers? What are the theoretical foundations of computer languages? Such questions can be exp...Show More
WHAT YOU'LL LEARN
A solid understanding of formal languages, their structures and properties
Working knowledge of capabilities and limitations of different types of automata
The ability to convert between regular expressions, finite automata, context-free grammars and pushdown automata
Insights into computability theory, undecidability, reductions and the halting problem
A solid understanding of formal languages, their structures and properties
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Content
1.
Getting Started
5 Lessons
Get familiar with core computation concepts, formal languages, and finite state machines.
2.
Finite Automata
9 Lessons
Walk through finite automata concepts, including DFAs, NFAs, regular languages, and machine minimization.
3.
Regular Expressions and Grammars
3 Lessons
Break apart regular expressions, their equivalence with finite automata, and regular grammars.
4.
Properties of Regular Languages
6 Lessons
Grasp the fundamentals of regular languages, decision algorithms, Pumping Theorem, and nonregular language properties.
5.
Pushdown Automata
3 Lessons
Deepen your knowledge of pushdown automata, their applications, and deterministic vs. nondeterministic behaviors.
6.
Context-Free Grammars
7 Lessons
Focus on the structure, simplification, and conversion of context-free grammars and pushdown automata.
7.
Properties of Context-Free Languages
7 Lessons
Master the key properties, algorithms, and formalisms of context-free languages.
8.
Turing Machines
8 Lessons
Try out Turing machines, their definitions, functions, variations, and the Church-Turing Thesis.
9.
The Landscape of Formal Languages
4 Lessons
Unpack the core of formal languages, from RE languages and unrestricted grammars to Chomsky hierarchy.
10.
Computability
3 Lessons
Examine limits of computability, undecidability problems, and implications of Rice's theorem.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Course Author:
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