GATETheory of Computation
Theory of Computation for GATE
~8 marks — the most conceptual subject, and the one that punishes vagueness.
📊 ~5 Q · ~8 marks (8% of the paper)
How toppers play this section
Theory of Computation rewards precise definitions more than any other subject here, because every question turns on a distinction that a loose statement erases. Finite automata questions come down to how many situations a machine must tell apart, which is what the Myhill-Nerode argument formalises and what makes minimisation and non-regularity proofs the same idea. Pushdown automata exist because a stack is exactly the memory that nesting requires, so recognising nesting in a language usually settles its class immediately. The pumping lemma is a game against an adversary and must be argued in the right order, which is where most marks are lost. Undecidability questions rest on self-reference making diagonalisation available, and reduction is the standard tool.
Chapters
Built to the GATE blueprint — notes, shortcuts, solved PYQ-style examples and practice in every chapter.
Topic-wise weightage in GATE
Expected question counts from previous-year paper analyses. Topics with an arrow already have a full chapter.
| Topic | GATE CS — single 3-hour CBT paper Q | Score used for M.Tech admission / PSU recruitment Q | Priority |
|---|---|---|---|
| Regular Expressions & Finite Automata | ~2-3 | Very high | |
| Context-Free Grammars & Pushdown Automata | ~2 | High | |
| Regular & Context-Free Languages: Closure and the Pumping Lemma | ~2 | High | |
| Turing Machines & Undecidability | ~2 | Very high |
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