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Aspiring Computer Scientists

Formal Languages & Automata Theory

8 weeks
0 Learners
eulerfoldeulerfold
Jul 23

“Master the absolute fundamentals of Formal Languages & Automata Theory through hands-on technical deep dives. Rather than skimming surface-level tutorials, this track enforces rigorous conceptual understanding and practical implementation. Expect to walk away with a profound mastery of the underlying architecture and the ability to solve complex engineering challenges.”

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About this Course

Understand regex, state machines, and grammars before building ASTs or compilers. This Aspiring Computer Scientists curriculum is designed to give you hands-on experience and deep conceptual understanding. Across 8 intensive modules, you'll tackle real-world challenges and build practical projects that reinforce your learning. By the end of this journey, you'll have the skills and proof of work to demonstrate your expertise.

What you'll learn

Establish the mathematical foundation for formal languages.
Design strict state machines for language recognition.
Understand non-determinism and equivalence to DFA.
Map regular expressions to finite automata computationally.

Prerequisites

intermediate Level

Requires basic familiarity with the tech stack.

  • Data structures (Trees, Graphs)

Ideal for

Aspiring Computer Scientists

Aspiring Computer Scientists Professionals
Tech Enthusiasts
W1

Fundamentals of Automata

Master the practical implementation of Fundamentals of Automata by comprehensively studying basic definitions and operations on languages.

2 videos•29m
3 readings
2 topics
1 homework
Learn

Topics

1.1
Basic Definitions
11 minutes
1.2
Operations on Languages
18 minutes

Study Resources

→Automata theory - Wikipedia→Alphabets, Strings, and Languages - Theoretical Computer Science→Language and Grammar in Automata Theory
W2

Deterministic Finite Automata (DFA)

Master the practical implementation of Deterministic Finite Automata (DFA) by comprehensively studying dfa mechanics and constructing dfas.

2 videos•31m
3 readings
2 topics
1 homework
Learn
W3

Non-Deterministic Finite Automata (NFA)

Construct reliable, production-ready workflows for Non-Deterministic Finite Automata (NFA) by comprehensively studying nfa concepts and equivalence to dfa.

2 videos•22m
2 readings
2 topics
1 homework
Learn
W4

Regular Expressions and Languages

Dive deep into the internals of Regular Expressions and Languages by comprehensively studying regex formalism and kleene's theorem.

2 videos•51m
3 readings
2 topics
1 homework
Learn
W5

Properties of Regular Languages

Develop an intuitive mental model for Properties of Regular Languages by comprehensively studying closure properties and the pumping lemma.

2 videos•19m
3 readings
2 topics
1 homework
Learn
W6

Context-Free Grammars (CFG)

Develop an intuitive mental model for Context-Free Grammars (CFG) by comprehensively studying grammar components and ambiguity and normalization.

2 videos•21m
3 readings
2 topics
1 homework
Learn
W7

Pushdown Automata (PDA)

Gain a deep understanding of Pushdown Automata (PDA) by comprehensively studying pda mechanics and equivalence to cfg.

2 videos•37m
3 readings
2 topics
1 homework
Learn
W8

Turing Machines and Computability

Develop an intuitive mental model for Turing Machines and Computability by comprehensively studying the turing machine and undecidability.

2 videos•17m
3 readings
2 topics
1 homework
Learn
01

Learn

Watch curated videos and read study resources

02

Practice

Practice what you learned

03

Build Projects

Build projects using your new gained knowledge

04

Submit & Verify

Submit your project and get verified by our system

References

01Automata theory - Wikipedia
02Alphabets, Strings, and Languages - Theoretical Computer Science
03Language and Grammar in Automata Theory
04Deterministic Finite Automata
05Deterministic Finite Automata | PPTX
06Deterministic finite automaton
07Difference Between NFA and DFA: Clear Concepts, Examples, and...
08The Fundamental Differences Between DFA and NFA: A Detailed...
09Regular language - Wikipedia
10Kleene's Theorem in TOC - GeeksforGeeks
11Kleene's Theorem: Regular Expressions, Automata, GraphsRegular Expressions - Stanford UniversityRegular Languages & Kleene's Theorem: Lecture NotesKleene's Theorem in Automata Theory - Online Tutorials LibraryLecture 23: regular languages and Kleene’s theoremRegular language - Wikipedia
12Pumping Lemma; Closure properties of regular languages
13Non-regular Languages
14Properties of Regular Languages
15CYK algorithm - Wikipedia
16Parse trees, ambiguity, and Chomsky
17Context free grammars
18COMS W3261 CS Theory Lecture 8: Pushdown Automata
19Introduction of Pushdown Automata - GeeksforGeeks
20Construct Pushdown Automata for given languages
21Halting problem - Wikipedia
22Halting Problem in Theory of Computation - GeeksforGeeks
23Computability: Turing Machines and the Halting ProblemHalting ProblemDid Turing prove the undecidability of the halting problem ...Did Turing prove the undecidability of the halting problem?Halting Problem: A Deep Dive - numberanalytics.com
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