GATE CS Previous Year Questions & Study Resources

GATE Computer Science and Information Technology (CS)

1,495 solved GATE CS questions from 2014–2026, each with the official answer and a step-by-step solution. Solving past papers is the highest-signal preparation there is: it teaches the real difficulty level, the recurring topics, and the time pressure of the actual exam.

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GATE CS subject-wise PYQs

Choose a subject to revise one area at a time. Subject tags can overlap; these question counts are not marks weightage.

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Build on your GATE CS PYQ revision

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Learn the concept, then solve the PYQs

Start with the available GATE CS revision companions: Engineering Mathematics, General Aptitude, Programming & Data Structures, Computer Networks, Computer Organization & Architecture, Theory of Computation, Operating System, Databases, Algorithms, Digital Logic, Compiler Design. Each combines concept notes, mistakes to avoid, an original worked example, a self-check and free further reading with the subject’s PYQs. No account is needed to read them.

Engineering Mathematics: check hypotheses before applying a theorem

State the domain, continuity, or convergence condition a formula requires before substituting. These selected foundations connect calculus, linear algebra, probability, and discrete mathematics as they appear in the GATE CS syllabus. Each topic needs its own deeper study.

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General Aptitude: read the claim, then test it

Separate what is stated from what is inferred. Verbal reasoning depends on the passage's own claims; quantitative reasoning depends on a stated relationship. These selected foundations connect reading comprehension, data interpretation, and basic arithmetic reasoning. They are not a substitute for broader practice.

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Programming & Data Structures: trace execution, then generalize

Simulate the code on small inputs before reasoning about general behavior. These selected foundations connect C-language constructs, pointers, recursion, and fundamental data structures. Each structure has insertion, deletion, and search costs that depend on its invariants.

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Computer Networks: identify the layer, then apply its rules

Determine which protocol layer a question addresses before applying its mechanisms. These selected foundations connect the physical, data link, network, transport, and application layers. Protocol behavior depends on the specific mechanism's assumptions, not on generic layering claims.

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Computer Organization: trace the datapath, then count the cycles

Identify the instruction format, datapath stages, and memory hierarchy parameters before computing execution time or hit rates. These selected foundations connect instruction sets, pipelining, caches, and I/O without replacing a full architecture course.

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Theory of Computation: define the language, then choose the machine

Specify the set of strings a language contains before attempting to recognize or generate them. These selected foundations connect regular languages, context-free grammars, Turing machines, and undecidability. Formal proofs of non-regularity and undecidability follow structured techniques, not intuition.

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Operating System: trace time, memory, and shared state

Draw the state an operating-system problem changes: a ready queue, page mapping, or shared variable. Keep units and policy assumptions visible. These selected foundations lead into a translation calculation and a separate scheduling check; use them to diagnose reasoning errors rather than as an exhaustive topic list.

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Databases: reason from dependencies, rows, and schedules

Connect database definitions to small, checkable calculations. Start with stated constraints, not a pattern remembered from another question. Record the schema, dependencies, duplicate semantics, or transaction order before choosing a rule. These selected revision notes are a starting point, not a complete syllabus.

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Algorithms: choose the invariant before the formula

Identify the input model, required output, and property that makes an algorithm correct before calculating time or space. These selected revision notes connect asymptotic analysis, graph traversal, and design techniques. Reproduce the small examples by hand, explaining each decision before moving to larger practice problems.

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Digital Logic: trace values through gates and state

Separate combinational output (determined by present inputs) from sequential output (determined by present inputs and stored state). These selected foundations connect Boolean algebra, gate-level design, and finite-state machines. Verify each simplification by evaluating a few input combinations.

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Compiler Design: follow the grammar through each translation phase

Trace how source text becomes tokens, parse trees, and intermediate code. These selected foundations connect lexical analysis, parsing, syntax-directed translation, and basic optimization. Each phase's output is the next phase's input; errors in one phase propagate forward.

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A repeatable PYQ revision routine

  1. Attempt a question before reading its solution. Write down your assumptions and reasoning, not just the answer.
  2. Compare the reasoning. Classify a miss as a concept gap, a calculation error or a misread condition.
  3. Use the revision notes to repair the gap, then attempt a different question from the same subject.
  4. Reattempt the missed question later without the solution. Use a complete paper to check pacing after topic revision.

This is our suggested study workflow, not an official sequence or a prediction of the next paper. Read how we produce our content.

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