Kerala University MCA Syllabus pdf

I want to get admission in MCA in University of Kerala and for that I want to get the syllabus of MCA so can you provide me that?

[Kiran Chandar]

As you want to get the syllabus of MCA of University of Kerala so here is the information of the same for you:

Semester I:
Combinatorics and Graph Theory
Probability and Statistics
Digital Systems
Programming in C
Accounting andFINANCIAL
Management
Communicative English
C Programming Lab
Linux Lab

Semester II:
Data and File Structures
Computer Organization
Object Oriented Programming through C++
Principles of Management
Database Management Systems
Seminar
Data Structures Laboratory
Microprocessor Laboratory

Semester III:
Algorithm Analysis and Design
Software Engineering
Numerical Analysis and Optimization Techniques
Operating Systems
Java Programming
Seminar
Object Oriented Programming Lab
Database Laboratory

Semester IV:
Computer Graphics
Computer Networks
Object Oriented Analysis and Design
Elective I
Elective II
Seminar
Computer Graphics Laboratory
Web Applications Laboratory

Elective I
11.404.1 Software Project Management
11.404.2 Management Information Systems
11.404.3 Web Technology
11.404.4 Software Testing

Elective II
11.405.1 Systems Programming
11.405.2 Principles of Compiler Design
11.405.3 Theory of Computation
11.405.4 Computer Hardware Design

Semester V:
Internet Technology
Data Mining and Warehousing
Artificial Intelligence
Elective III
Elective IV
Case Study
Mini Project

Elective III
11.504.1 Bio Informatics
11.504.2 Soft Computing
11.504.3 Multimedia Systems
11.504.4 Image Processing
11.504.5 Unix and Shell Programming

Elective IV
11.505.1 Client Server Computing
11.505.2 Cryptography and Network Security
11.505.3 Distributed Systems
11.505.4 Parallel Algorithms
11.505.5 Distributed Database Systems

Semester VI:
Project Design and Implementation

COMBINATORICS AND GRAPH THEORY :
Module I
Fundamental principles of counting , permutation and combinations , binomial theorem , combination with repetition , principle of inclusion and exclusion , derangements , generating functions , the exponential generating function , recurrence relations-first order and second order- non homogeneous recurrence relations , method of generating functions

Module II
Introduction to graph – definition –sub graph-path cycles-matrix representation-graph isomorphism – Euler tour- planar graph-Euler’s formula-bipartite graph – application of kuratowski’s theorem (proof not required)cutest dual of a graph- Hamiltonian path and cycles-sufficient condition for the existence of Hamilton cycles-graph colouring, chromatic polynomials and map colouring

Module III
Tress-definition and properties-DFS algorithm (application only no need of proof) BFS algorithm (application only – no need of proof) biconnected components and articulation points-Dijkstra’s shortest path algorithm, minimal spanning tree-Kruskal and prims algorithm, max-flow-min-cut theorem (proof not required)

Text book
1. Discrete and Combinatorial Mathematics, An applied Introduction,3/e, Ralph P.Grimaldi, Pearson Education
Module I :-Sections:1.1 to 1.4,8.1,8.2,8.3,9.1,9.2,9.4,10.1,10.2,10.3,10.4
Module II:-Sections: 11.1 to 11.6
Module III:-Sections: 12.1, 12.2, 12.3, 12.5, 13.1, 13.2, 13.3

References:
1. Clark J Holten .D A, A first look at Graph Theory .Allied Publishers (World Scientific, New Delhi)
2. Corman T.H, Leisersion C.E & Rivest RL, Introduction to Algorithms , Prentice Hall of India
3. Mott.J.L.Kendel A & baker T P. Discrete Mathematics for Computer Scientists
4. Mathematicians ,2/e, Pretice Hall ofIndia
5. Liu.C.L, Elements of Discrete Mathematics,2/e,McGraw HillSingapore
6. Rosen K.H , Discrete Mathematics and its applications , 3/e , Mc Graw Hill Singapore
7. Balakrishnan R, Ranganathan, A text book of Graph theory, Springer International edition
8. Yadav S K, Elements of Graph Theory, Ane’s student edition,

PROBABILITY AND STATISTICS:
Module I
PROBABILITY THEORY - Random experiment-Conditional probability – independent event . Bayes theorem-Random variable - continuous and discrete – Probability density function – Distribution function – Special distributions – discrete and continuous distributions-TWO DIMENSIONAL RANDOM VARIABLE-Joint probability density – cumulative distribution – marginal probability – conditional probability . LINEAR CORRELATION – Correlation coefficient – properties of correlation coefficient-rank correlation coefficient – Regression – equations of linear regression – bounds for probability – Tcchebysheves inequality Central limit theorem

Module II
Special discrete distribution – Binomial distribution –mean , variance and central moments. Poisson-mean and variance and central moments . Hyper geometric – mean and variance. Special continuous distribution –Uniform distribution – moments . Normal distribution-standard normal distribution , - mean and variance and central moments of normal distribution-Moment generating function of N(0,1) and N(µ ,σ ).Normal distribution is the limiting case of Binomial distribution.

Module III
Tests of hypothesis- parameter and statistic-sampling distribution – Estimation and testing of hypothesis-critical region and level of significance-Errors in testing of hypothesis-one tailed and two tailed tests-procedure for testing hypothesis- confidence interval-tests of significance of large and small samples-Student’s t distribution-Sndecor’s F distribution.

Text Book:
T.Veerarajan-Probability , Statistics and Random process(Third edition, TataMc.Graw Hill, Chapters 1,2,4,5,8)

References:
Sundarapandian - Probability, Statistics and Queueing theory, PHI
S.M .Ross - Introduction to probability models-
Miller and Freunnds-Richard A. Johnson - Probability and statistics for Engineers
Purna Chandrta Biswal – Probability and Statistics , PHI
F M Dekking, C Kraaikamp – a modern introduction to probability and statistics, Springer

For more detailed information I am uploading a word file which is free to download:

Contact Details:
University of Kerala
Palayam
Thiruvananthapuram,
Kerala 695037
India

Map Location:
[MAP]University of Kerala[/MAP]