Syllabus of CSE PGCET

Can you provide me the Syllabus for CSE (Computer Science Engineering) course in PGCET (Post Graduate Engineering Common Entrance Test)?

[Kiran Chandar]

The Syllabus for CSE (Computer Science Engineering) course in PGCET (Post Graduate Engineering Common Entrance Test) is as follows:

Engineering Mathematics

Probability and Statistics: Conditional Probability; Mean, Median, Mode and Standard Deviation; Random
Variables; Distributions; uniform, normal, exponential, Poisson, Binomial.
Set Theory & Algebra: Sets; Relations; Functions; Groups; Partial Orders; Lattice; Boolean Algebra.

Combinatorics: Permutations; Combinations; Counting; Summation; generating functions; recurrence relations;
asymptotic.

Linear Algebra: Algebra of matrices, determinants, systems of linear equations, Eigen values and Eigen vectors.

Numerical Methods: LU decomposition for systems of linear equations; numerical solutions of non-linear
algebraic equations by Secant, Bisection and Newton-Raphson Methods; Numerical integration by trapezoidal and
Simpson's rules.

Calculus: Limit, Continuity & differentiability, Mean value Theorems, Theorems of integral calculus, evaluation of
definite & improper integrals, Partial derivatives, Total derivatives, maxima & minima.
Computer Science and Information Technology

Graph Theory: Connectivity; spanning trees; Cut vertices & edges; covering; matching; independent sets;
Colouring; Planarity; Isomorphism.

Mathematical Logic: Propositional Logic; First Order Logic.
Digital Logic: Logic functions, Minimization, Design and synthesis of combinational and sequential circuits;
Number representation and computer arithmetic (fixed and floating point).
Computer Organization and Architecture: Machine instructions and addressing modes, ALU and data-path,
CPU control design, Memory interface, I/O interface (Interrupt and DMA mode), Instruction pipelining, Cache and
main memory, Secondary storage.

Programming and Data Structures: Programming in C; Functions, Recursion, Parameter passing, Scope,
Binding; Abstract data types, Arrays, Stacks, Queues, Linked Lists, Trees, Binary search trees, Binary heaps.
Algorithms: Analysis, Asymptotic notation, Notions of space and time complexity, Worst and average case
analysis; Design: Greedy approach, Dynamic programming, Divide-and conquer; Tree and graph traversals,
Connected components, Spanning trees, Shortest paths; Hashing, Sorting, Searching. Asymptotic analysis (best,
worst, average cases) of time and space, upper and lower bounds, Basic concepts of complexity classes P, NP, NPhard,
NP-complete.

Theory of Computation: Regular languages and finite automata, Context free languages and Push-down automata,
Recursively enumerable sets and Turing machines, Undecidability.
Compiler Design: Lexical analysis, Parsing, Syntax directed translation, Runtime environments, Intermediate and
target code generation, Basics of code optimization.

Will you provide me the syllabus of the PGCET for M.Tech Computer Science Engineering (CSE) admission conducted by Osmania university ?

[Raman Vij]

As you want I am here providing you the syllabus of the PGCET for M.Tech Computer Science Engineering (CSE) admission conducted by Osmania university.

Syllabus:

Engineering Mathematics
Probability and Statistics: Conditional Probability; Mean, Median, Mode and Standard Deviation; Random
Variables; Distributions; uniform, normal, exponential, Poisson, Binomial.
Set Theory & Algebra: Sets; Relations; Functions; Groups; Partial Orders; Lattice; Boolean Algebra.
Combinatorics: Permutations; Combinations; Counting; Summation; generating functions; recurrence relations;
asymptotic.
Linear Algebra: Algebra of matrices, determinants, systems of linear equations, Eigen values and Eigen vectors.
Numerical Methods: LU decomposition for systems of linear equations; numerical solutions of non-linear
algebraic equations by Secant, Bisection and Newton-Raphson Methods; Numerical integration by trapezoidal and
Simpson's rules.
Calculus: Limit, Continuity & differentiability, Mean value Theorems, Theorems of integral calculus, evaluation of
definite & improper integrals, Partial derivatives, Total derivatives, maxima & minima.
Computer Science and Information Technology
Graph Theory: Connectivity; spanning trees; Cut vertices & edges; covering; matching; independent sets;
Colouring; Planarity; Isomorphism.
Mathematical Logic: Propositional Logic; First Order Logic.
Digital Logic: Logic functions, Minimization, Design and synthesis of combinational and sequential circuits;
Number representation and computer arithmetic (fixed and floating point).
Computer Organization and Architecture: Machine instructions and addressing modes, ALU and data-path,
CPU control design, Memory interface, I/O interface (Interrupt and DMA mode), Instruction pipelining, Cache and
main memory, Secondary storage.
Programming and Data Structures: Programming in C; Functions, Recursion, Parameter passing, Scope,
Binding; Abstract data types, Arrays, Stacks, Queues, Linked Lists, Trees, Binary search trees, Binary heaps.
Algorithms: Analysis, Asymptotic notation, Notions of space and time complexity, Worst and average case
analysis; Design: Greedy approach, Dynamic programming, Divide-and conquer; Tree and graph traversals,
Connected components, Spanning trees, Shortest paths; Hashing, Sorting, Searching. Asymptotic analysis (best,
worst, average cases) of time and space, upper and lower bounds, Basic concepts of complexity classes P, NP, NPhard,
NP-complete.
Theory of Computation: Regular languages and finite automata, Context free languages and Push-down automata,
Recursively enumerable sets and Turing machines, Undecidability.
Compiler Design: Lexical analysis, Parsing, Syntax directed translation, Runtime environments, Intermediate and
target code generation, Basics of code optimization.

Operating System: Processes, Threads, Inter-process communication, Concurrency, Synchronization, Deadlock,
CPU scheduling, Memory management and virtual memory, File systems, I/O systems, Protection and security.
Databases: ER-model, Relational model (relational algebra, tuple calculus), Database design (integrity constraints,
normal forms), Query languages (SQL), File structures (sequential files, indexing, B and B+ trees), Transactions
and concurrency control.
Information Systems and Software Engineering: information gathering, requirement and feasibility analysis,
data flow diagrams, process specifications, input/output design, process life cycle, planning and managing the
project, design, coding, testing, implementation, maintenance.
Computer Networks: ISO/OSI stack, LAN technologies (Ethernet, Token ring), Flow and error control
techniques, Routing algorithms, Congestion control, TCP/UDP and sockets, IP(v4), Application layer protocols
(icmp, dns, smtp, pop, ftp, http); Basic concepts of hubs, switches, gateways, and routers. Network security basic
concepts of public key and private key cryptography, digital signature, firewalls.
Web technologies: HTML, XML, basic concepts of client-server computing.


PGCET M.Tech CSE Sample paper