GATE-Computer Science Engineering

After the candidate completes his graduation in computer science and engineering, he can appear for GATE. GATE is an examination that primarily tests the comprehensive understanding of candidates in various undergraduate subjects of engineering and science for admission into the Master’s Program of institutes as well as jobs at Public Sector Companies. The syllabus of GATE for computer science and engineering mainly includes the following:

Discrete Mathematics: Propositional and first order logic. Sets, relations, functions, partial orders and lattices. Groups. Graphs: connectivity, matching, coloring. Combinatorics: counting, recurrence relations, generating functions. Linear Algebra: Matrices, determinants, system of linear equations, eigenvalues and eigenvectors, LU decomposition. Calculus: Limits, continuity and differentiability. Maxima and minima. Mean value theorem. Integration. Probability: Random variables. Uniform, normal, exponential, Poisson and binomial distributions. Mean, median, mode and standard deviation. Conditional probability and Bayes theorem.

Boolean algebra. Combinational and sequential circuits. Minimization. Number representations and computer arithmetic (fixed and floating point).

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).

Programming in C. Recursion. Arrays, stacks, queues, linked lists, trees, binary search trees, binary heaps, graphs.

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, and shortest paths.

Regular expressions and finite automata. Context-free grammars and push-down automata. Regular and context-free languages, pumping lemma. Turing machines and undecidability.

Lexical analysis, parsing, syntax-directed translation. Runtime environments. Intermediate code generation.

Processes, threads, inter – process communication, concurrency and synchronization. Deadlock. CPU scheduling. Memory management and virtual memory. File systems.

ER – model. Relational model: relational algebra, tuple calculus, SQL. Integrity constraints, normal forms. File organization, indexing (e.g., B and B+ trees). Transactions and concurrency control.

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.

Mentioned above is the outlined syllabus for GATE. There are minor changes being introduced frequently in the syllabus as well as the nature and weightage of questions.

After qualifying GATE, the candidate can go for further studies like post-graduation and Ph. D. from top tier institutes including IITs and NITs and receive stipend and fellowships based on the performance in the respective course or can apply for job in a PSU. Many PSUs (Public Sector Undertakings) prefer candidates from computer science and engineering background among some other selected branches owing to the nature of services they provide and the nature of products they manufacture or deal with.

Some such PSUs that prefer candidates from computer science and engineering as their major field of study include:

Some PSUs recruit candidates directly on the basis of their GATE scores with some specific required cutoff or percentile while some shortlist the candidates on the basis of their GATE scores for further stages of assessment that may include group discussion, descriptive examination or personal interview or all of these varying from company to company. Every PSU releases its own notification for the job.

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