| GATE 2020 Syllabus |
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Section 1: Numerical and Verbal Ability
- Numerical Ability : Numerical computation,
numerical estimation, numerical reasoning and data interpretation
- Verbal Ability : English grammar, sentence completion,
verbal analogies, word groups, instructions,
critical reasoning and verbal deduction
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- Numerical Ability :
- Verbal Ability :
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- Numerical Ability :
- Verbal Ability :
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- Numerical Ability :
- Verbal Ability :
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Section 2: Mathematics
- Discrete Mathematics :
- Propositional and first order logic
- Sets, relations, functions, partial orders and lattices. Groups
- Combinatorics: counting, recurrence relations, generating functions
- Graphs: connectivity, matching, coloring
- Linear Algebra :
- Matrices, determinants
- LU decomposition
- System of linear equations
- Eigenvalues and eigenvectors
- Probability :
- Random variables
- Mean, median, mode and standard deviation
- Uniform, normal, exponential, Poisson and binomial distributions
- Conditional probability and Bayes theorem
- Calculus :
- Limits, Continuity and Differentiability
- Maxima and Minima. Mean value theorem
- Integration
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- Discrete Mathematics :
- Linear Algebra :
- Probability :
- Calculus :
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- Discrete Mathematics :
- Linear Algebra :
- Probability :
- Calculus :
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- Discrete Mathematics :
- Linear Algebra :
- Probability :
- Calculus :
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Section 3: Algorithms
- Searching, sorting, hashing
- Asymptotic worst case time and space complexity
- Algorithm design techniques : greedy, dynamic programming and divide‐and‐conquer
- Graph search, minimum spanning trees, shortest paths
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- Asymptotic Analysis of Algorithms :
- Recurrence Relations :
- Divide and Conquer :
- Greedy Techniques :
- Graph Based Algorithms :
- Dynamic Programing :
- Searching, Sorting and Hashing :
- Misc :
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- Asymptotic Analysis of Algorithms :
- Recurrence Relations :
- Divide and Conquer :
- Greedy Techniques :
- Graph Based Algorithms :
- Dynamic Programing :
- Searching, Sorting and Hashing :
- Misc :
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Algorithms :
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Section 4: Programming and Data Structures
- Programming in C, Recursion
- Arrays, stacks, queues, linked lists, trees, binary search trees, binary heaps, graphs
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- Programming in C, Recursion :
- Array, Stack, Queue :
- Linked Lists :
- Trees, Binary search trees, Binary heaps :
- Graphs :
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- Programming in C, Recursion :
- Array, Stack, Queue :
- Linked Lists :
- Trees, Binary search trees, Binary heaps :
- Graphs :
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Programming and Data Structures :
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Section 5: Operating Systems
- Processes, threads, CPU scheduling
- Inter‐process communication, concurrency and synchronization, deadlock
- Memory management and virtual memory
- File systems
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- Processes, threads, CPU scheduling :
- Inter‐process communication, concurrency and synchronization:
- Deadlock :
- Main memory management :
- Virtual memory :
- File system and disk scheduling :
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- Processes, threads, CPU scheduling :
- Inter‐process communication, concurrency and synchronization :
- Deadlock :
- Main memory management :
- Virtual memory :
- File system and disk scheduling :
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Operating Systems :
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Section 6: Databases
- ER‐model, Relational model : relational algebra, tuple calculus, SQL
- Integrity constraints, normal forms
- Transactions and concurrency control
- File organization, indexing (e.g., B and B+ trees)
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- ER‐model :
- Relational model (relational algebra, tuple calculus) :
- Database design (integrity constraints, normal forms) :
- Query languages (SQL) :
- Transactions and concurrency control :
- File structures (sequential files, indexing, B and B+ trees) :
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- ER‐model:
- Relational model (relational algebra, tuple calculus):
- Database design (integrity constraints, normal forms):
- Query languages (SQL) :
- Transactions and concurrency control:
- File structures (sequential files, indexing, B and B+ trees):
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Databases :
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Section 7: Computer Networks
- Concept of layering, LAN technologies (Ethernet)
- Flow and error control techniques, switching
- IPv4/IPv6, routers and routing algorithms (distance vector, link state)
- TCP/UDP and sockets, congestion control
- Application layer protocols (DNS, SMTP, POP, FTP, HTTP)
- Basics of Wi-Fi
- Network security : authentication, basics of public key
and private key cryptography, digital signatures and certificates, firewalls
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- Network Fundamental and Physical layer :
- Data Link layer :
- Network layer :
- Transport layer :
- Application layer :
- Network security :
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- Network Fundamental and Physical layer :
- Data Link layer :
- Network layer :
- Transport layer :
- Application layer :
- Network security :
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Computer Networks :
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Section 8: Computer Organization and Architecture
- Machine instructions and addressing modes
- ALU, data‐path and control unit
- Instruction pipelining
- Memory hierarchy: cache, main memory and secondary storage
- I/O interface (Interrupt and DMA mode)
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- Machine instructions and addressing modes :
- ALU, data‐path and control unit :
- Instruction pipelining :
- Cache Memory :
- I/O interface (Interrupt and DMA mode) :
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Computer Organization and Architecture :
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Computer Organization and Architecture :
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Section 9: Theory of Computation
- Regular expressions and finite automata
- Context-free grammars and push-down automata
- Regular and context-free languages, pumping lemma
- Turing machines and undecidability
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- Regular expression, langauges, grammar and finite automata :
- Context free langauges, grammar and push down automata :
- Pushdown Automata
- Pushdown Automata Acceptance by Final State
- Check if the language is Context Free or Not
- Construct Pushdown Automata for given languages
- Construct Pushdown automata for L = {0n1m2m3n | m,n ≥ 0}
- Construct Pushdown automata for L = {0n1m2(n+m) | m,n ≥ 0}
- Construct Pushdown Automata for all length palindrome
- NPDA for the language L ={wϵ{a,b}*| w contains equal no. of a’s and b’s}
- NPDA for accepting the language L = {an bn | n>=1}
- NPDA for accepting the language L = {an bm cn | m,n>=1}
- NPDA for accepting the language L = {an bn cm | m,n>=1}
- NPDA for accepting the language L = {am b(2m) | m>=1}
- NPDA for accepting the language L = {ambncpdq | m+n=p+q ; m,n,p,q>=1}
- Construct Pushdown automata for L = {a(2*m)c(4*n)dnbm | m,n ≥ 0}
- NPDA for accepting the language L = {ambnc(m+n) | m,n≥1}
- NPDA for accepting the language L = {amb(m+n)cn | m,n≥1}
- NPDA for accepting the language L = {a2mb3m | m≥1}
- NPDA for accepting the language L = {amb(2m+1) | m≥1}
- NPDA for L = {0i1j2k | i==j or j==k ; i , j , k >= 1}
- Closure Properties of Context Free Languages
- Ambiguity in CFG and CFL
- Simplifying Context Free Grammars
- Converting Context Free Grammar to Chomsky Normal Form
- Converting Context Free Grammar to Greibach Normal Form
- Relationship between grammar and language
- Context Sensitive langauges :
- Turing machines and undecidability :
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- Regular expression, langauges, grammar and finite automata :
- Context free langauges, grammar and push down automata :
- Context Sensitive langauges :
- Turing machines and undecidability :
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Theory of Computation :
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Section 10: Compiler Design
- Lexical analysis, parsing, syntax-directed translation
- Runtime environments
- Intermediate code generation
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- Introduction of Compiler :
- Lexical analysis :
- Parsing :
- Syntax directed transalation :
- Runtime environments :
- Intermediate code generation :
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- Introduction of Compiler :
- Lexical analysis :
- Parsing :
- Syntax directed transalation :
- Runtime environments :
- Intermediate code generation :
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Compiler Design :
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Section 11: Digital Logic
- Boolean algebra
- Combinational and sequential circuits. Minimization
- Number representations and computer arithmetic (fixed and floating point)
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- Introduction of Boolean Algebra and Logic Gates :
- Combinational Circuits :
- Sequential Circuits :
- Number Representation and Computer Airthmetic :
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Digital Logic :
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Digital Logic :
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