ANNA university lecturer eligibility for computer science and engineering - 2018-2019 StudyChaCha

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Old December 25th, 2013, 11:55 AM
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Default ANNA university lecturer eligibility for computer science and engineering

Any buddy, please tell me the ANNA university lecturer eligibility for computer science and engineering after MCA and ME……..
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Old December 25th, 2013, 03:06 PM
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Join Date: Jun 2013
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Default Re: ANNA university lecturer eligibility for computer science and engineering

To join ANNA University as a lecturer for computer science and engineering you need to clear the UGC NET exam. To appear for this exam you must have a Master's degree with minimum of 55% in the Master's Degree. Since you have completed your Master's degree you are eligible to appear for the test.

According to AICTE norms, the minimum eligibility criteria to join the engg department as a lecturer, is to have a first class M.E/M.Tech degree in respective engineering trend.

If you want to know more about it then contact to the address mentioned below:


ANNA University
Pudukottai Main Road, University Rd, Mandaiyur, Tamil Nadu 622515 ‎
0431 240 7946 ‎
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Old January 6th, 2015, 02:37 PM
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Default Re: ANNA university lecturer eligibility for computer science and engineering

As according to AICTE norms, the minimum eligibility criteria to join as a lecturer in Anna University one has to clear the UGC NET exam. And to appear for the exam it is a must to have a Master's degree.

Also another eligibility criterion is to have a minimum of 55% in the Master's Degree.
You have to select the optional subjects based on what you pursued during Master's degree.

After clearing the exam keeps a check for notifications from the university regarding job vacancies and apply based on what your qualification is. Since you will be joining after the NET exam you will be eligible to receive the UGC pay scale.

UGC NET CS Syllabus

1. Discrete Structures :

Sets, Relations, Functions. Pigeonhole Principle, Inclusion-Exclusion Principle, Equivalence and Partial Orderings, Elementary Counting Techniques, Probability. Measure ( s ) for information and Mutual information.

Computability : Models of computation-Finite Automata, Pushdown Automata, Non determinism and NFA, DPDA and PDAs and Languages accepted by these structures. Grammars, Languages, Non computability and Examples of non computable problems.

Graph : Definition, walks, paths, trails, connected graphs, regular and bipartite graphs, cycles and circuits. Tree and rooted tree. Spanning trees. Eccentricity of a vertex radius and diameter of a graph. Central Graphs. Centres of a tree. Hamiltonian and Eulerian graphs, Planar graphs.

Groups : Finite fields and Error correcting / detecting codes.

2. Computer Arithmetic :

Propositional ( Boolean ) Logic, Predicate Logic, Well formed formulae ( WFF ), Satisfiability and Tautology.

Logic Families : TTL, ECL and C MOS gates. Boolean algebra and Minimization of Boolean functions. Flip-flops types, race condition and comparison. Design of combinational and sequential circuits.

Representation of Integers : Octal, Hex, Decimal, and Binary. 2′s complement and 1′s complement arithmetic. Floating point representation.

3. Programming in C and C++ :

Programming in C : Elements of C Tokens, identifiers, data types in C. Control structures in C. Sequence, selection and iteration(s). Structured data types in C-arrays, struct, union, string, and pointers.

O O Programming Concepts : Class, object, instantiation. Inheritance, polymorphism and overloading.

C++ Programming : Elements of C++ Tokens, identifiers. Variables and constants, Datatypes, Operators, Control statements. Functions parameter passing. Class and objects. Constructors and destructors. Overloading, Inheritance, Templates, Exception handling.

4. Relational Database Design and SQL :

E-R diagrams and their transformation to relational design, normalization INF, 2NF, 3NF, BCNF and 4NF. Limitations of 4NF and BCNF.

SQL : Data Definition Language ( DDL ), Data Manipulation Language ( DML ), Data Control Language ( DCL ) commands. Database objects like-Views, indexes, sequences, synonyms, data dictionary.

5. Data and File structures :

Data, Information, Definition of data structure. Arrays, stacks, queues, linked lists, trees, graphs, priority queues and heaps.

File Structures : Fields, records and files. Sequential, direct, index-sequential and relative files. Hashing, inverted lists and multi lists. B trees and B+ trees.
UGC NET CS Syllabus

Answered By StudyChaCha Member
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