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  #2  
31st January 2013, 04:41 PM
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Join Date: May 2012
Re: MG university MCA syllabus

The MG University offers MCA. The syllabus of III semester is based on the following papers:

MCA 301 Java and Web Programming
MCA 302 Software Engineering
MCA 303 System Software
MCA 304 Database Management Systems
MCA 305 Data Communications
MCA 306 Java Programming LAB
MCA 307 DBMS Lab

Here is the syllabus of 301 paper:
Module I
Introduction to object oriented programming-Features of Java – Data types,
variables and arrays – Operators – Control statements – Classes and Methods –
Inheritance

The full syllabus is available in the attached file so download the file and get the syllabus.
Attached Files
File Type: pdf MGU MCA 301 syllabus.pdf (28.0 KB, 157 views)
File Type: pdf MGU MCA 302 syllabus.pdf (21.9 KB, 154 views)
File Type: pdf MGU MCA 303 syllabus.pdf (20.7 KB, 154 views)
  #3  
22nd September 2014, 06:54 PM
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Re: MG university MCA syllabus

mg university off campus mca 5th and 6th semester syllabus
  #4  
5th December 2015, 04:29 PM
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Quote:
Originally Posted by Unregistered View Post
mg university off campus mca 5th and 6th semester syllabus




i want full MCA syllabus in pdf ?pls.
  #5  
27th January 2016, 09:45 PM
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Re: MG university MCA syllabus

i want syllabus for semester 1 mca 2015
  #6  
18th October 2016, 08:47 PM
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Re: MG university MCA syllabus

i want ddmca 2016 full syllabus
  #7  
26th November 2019, 09:25 AM
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Re: MG university MCA syllabus

Can you provide me the syllabus of MCA (Master of Computer Applications) Program offered by Mahatma Gandhi University, Kottayam, Kerala?
  #8  
26th November 2019, 09:28 AM
Super Moderator
 
Join Date: Oct 2019
Re: MG university MCA syllabus

The syllabus of MCA (Master of Computer Applications) Program offered by Mahatma Gandhi University, Kottayam, Kerala is as follows:


MCA 101T DISCRETE MATHEMATICS & STATISTICS


UNIT I

Mathematical Logic: Statements and notations, Connectives, Well-formed formulas, Truth Tables, tautology, equivalence implication, Normal forms, Theory of inference for the statement calculus; Rules of inference, Consistency of premises and indirect method of proof, Automatic Theorem Proving ; Predicate calculus: Predicates, statement functions, variables and quantifiers, predicate formulas, free & bound variables, universe of discourse, inference theory of predicate calculus



UNIT II
Set theory & Relations: Introduction, Relations and ordering, Properties of binary Relations,
Equivalence, Compatibility Relations, Partial ordering; Elementary Combinatorics: Basis of counting, Enumeration of Combinations & Permutations, Enumerating of Combinations & Permutations with repetitions and constrained repetitions, Binomial Coefficients, Binomial Multinomial theorems, principles of Inclusion – Exclusion.



UNIT III
Recurrence Relations: Generating Function of Sequences, Calculating Coefficient of generating functions, Recurrence relations, Solving recurrence relation by substitution and Generating functions, The method of Characteristic roots, Solution of Inhomogeneous Recurrence Relation.
Graph Theory: Representation of Graph, Spanning Trees, BFS, DFS, Kruskals Algorithm, Binary trees, Planar Graphs Graph Theory and Applications, Basic Concepts, Isomorphism and Sub graphs, Multi graphs and Euler circuits, Hamiltonian graphs, Chromatic Numbers



UNIT IV
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



UNIT V
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- Snedecor’s F distribution.



REFERENCES
• Discrete Mathematical Structures with Applications to CS; Tremblery, R.Manohar, TMH
• Discrete Mathematical for computer Scientists & Mathematicians , Molt, Kandel, Baker, PHI
• T.Veerarajan-Probability , Statistics and Random process(Third edition ,TMH)
• Sundarapandian - Probability, Statistics and Queueing theory, PHI
• Purna Chandrta Biswal – Probability and Statistics , PHI
• Elements of Discrete Mathematics, C L Liu, D P Mohanpatra,TMH
• Discrete Mathematical Structures, Kolman, Busby, Ross, 6th ed., PHI, 2009



Syllabus MCA Mahatma Gandhi University, Kottayam, Kerala








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