Would you please provide here PGCET Computer Science and Engineering syllabus as Study material???

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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.