Am I Eligible For NTPC Exam After Engineering In IT

Please tell me is I am eligible for NTPC exam after completing B.Tech in Information technology ?

[Quick Sam]

Yes you are eligible for the NTPC . NTPC recruits the candidates who have completed their Bachelor's degree in Engineering or Technology. For applying for the NTPC you have to appear in GATE exam.

Recruitment is also depend on the vacant post in the company.

Eligibility:
Applicant must have completed a full time Bachelor’s Degree in Engineering or Technology/AMIE with a minimum of 65% marks in aggregate.

Final year/semester students are also eligible provided they obtain at least 65% marks in their engineering degree.

Applicant must have qualified in GATE

Age: not more than 27 years.

Selection Process:-
Written Exam (GATE exam)
Personal Interview.


GATE syllabus for IT student :

ENGINEERING MATHEMATIC

Mathematical Logic: Propositional Logic; First Order Logic.

Probability: 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; asymptotics.

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

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

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, NP-hard, 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.

Can you tell me I am eligible for a job in National Thermal Power Corporation Limited (NTPC) after completing Engineering in IT (Information Technology)?

[Quick Sam]

National Thermal Power Corporation Limited (NTPC) considers engineering Graduates for the post of Graduate Engineer trainee.

It is one of the leading PSU's in power sector. The criterion followed by it for recruiting freshers is given below-

So candidates must have obtained the qualification from any recognized institution with 60% to 65% marks.

Age of the candidate must be less than 30 years.

For senior level positions experienced candidates are often preferred.

Selection process is carried out on the basis of GATE score and a placement test.

The placement test in NTPC includes a written test which consists of objective type multiple choice questions. The questions are structured in GRE/CAT examination format.
Questions are designed from analytical, technical, verbal reasoning and quantitative sections.

There are no negative markings for the wrong answers. A total time of 90 minutes are allotted to answer 120 questions.

The placement test is carried out to test the reasoning, basic technical knowledge, aptitude and mental ability of the candidate.

There is a cut off mark for this examination and the candidates those who score more than the prescribed cut off marks are selected for the interview.