Syllabus for Master in Computer Application (M.C.A)
Syllabus for Master in Computer Application (M.C.A)
Course Details
Eligibility Criteria
  • A candidate shall have passed the qualifying examination with minimum of 50% marks (45% marks in case SC/ST/OBC category) of grand total.
  • A candidate shall have passed the Higher Secondary School Examination (Standard XII, 10+2 pattern) and Bachelor's degree with Mathematics or Business Mathematics or Statistics as one of the subjects.
  • A candidate shall have appeared in the CMAT (Common Management Aptitude Test) as prescribed by AICTE.
Intake

180 Seats

Duration

The duration of the course shall be Full time two academic years (i.e.,4 semesters).

Evaluation Scheme
  • The Credit allotted for each semester as follows:
    Semester 1 2 3 4 5 6 Total
    Credits 30 30 30 30 30 30 180
  • The academic performance evaluation of a student is according to a letter grading system based on Continuous Internal Assessment (CIA) and Semester End Examinations (SEE).
  • Based on the performance in CIA and SEE the letter grade is awarded to a student in a course. A student should secure minimum of 40% in CIA and 60% in SEE in Theory and Practical, including Project viva, if any and minimum of 50% in CIA and SEE together.
  • The distribution of weightage among different parameters of CIA is as follows:
    Parameter Frequency Weightage (in each course)
    Internal Test One  Duration 2 hours of test.
    Internal test has 37.5% weightage in CIA score.
    Unit test At least Three Duration may be from 40 to 50 minutes. Unit tests have 30% weightage in CIA score. Question paper shall include answer of descriptive nature. Questions should test analytical ability to analyze a scenario and apply theory for the solution.
    Quiz At least Two Duration may be from 40 to 50 minutes. This parameter has 20% weightage in CIA score. It includes very short answer questions like MCQ, Fill in the blanks, Match the following, True/False, Program error and output, etc.
    Any one from following parameters can be taken as Self Creation Parameter
    Sr. No. Self Creation Parameter Constraints  
    1 Presentation Minimum 30 Sides Not for first year Students
    2 Website Development Minimum 30 Web Pages
    3 Preparation of Video At Least of 20 Mins.
    4 Preparation of Mini-question Bank At Least 50 MCQ/T-F/Fill in the Blanks
    5 Short answer questions alongwith answer At Least 35  
    6 Long answer questions alongwith answer At Least 20  
    Note: Self Creation Parameter has 12.5% weightage in CIA score and frequency is one.
    [For Sr. No. 4,5 and 6, softcopy as well as hardcopy submission is must]
  • The student shall have at least 90% attendance during the semester so as to appear in the SEE.
  • SEE would be of 3 hours for theory and 2 hours for practical.
  • The Question paper format for SEE for a course would be as follows:
    Section- I - 30 marks
    Question 1: Short Type Question (10 out of 14)
    [Each of 1 marks]
    10 marks
    Question 2: Practical/Scenario based Problem (2) with Internal Option
    [Each of 5 marks]
    10 marks
    Question 3: Theory Question (2 out of 3)
    [Each of 5 marks]
    10 marks
    Section: II - 30 marks
    Question 4: Short Type Question (10 out of 14)
    [Each of 1 marks]
    10 marks
    Question 5: Practical/Scenario based Problem (2) with Internal Option
    [Each of 5 marks]
    10 marks
    Question 6: Theory Question (2 out of 3)
    [Each of 5 marks]
    10 marks
    • Question 1 and 4 includes very short answer questions whose answer can be given in one statement,which may also include to idenitify program error, find out program output etc.
    • Question 2 and 5 includes question of short answer of 20-25 words based on the basic introductory facts, objectives, and functions to test the understanding of the subject matter. Further the question items may includes parameters like advantages, disadvantages, comparison, effectiveness, etc. of concepts.
    • Question 3 and 6 include question of long answer of 150 words test the analytical ability to analyze a scenario and apply theory for the solution.
  • The letter grade awarded to a student in a course shall be based on CIE and SEE. The letter grades AA AB AC BB BC CC FF indicate level of academic achievement assessed on a 10 point scale.
    Letter Grades: AA AB AC BB BC CC FF
    Grade Points: 10 9 8 7 6 5 0
    Raw Score: 90% and above  89.99% to  80% 79.99% to 70% 69.99% to 60% 59.99% to 55% 54.99% to 50% Below 50%
  • The overall performance of a student will be indicated by two indices:
    SGPA (Semester Grade Point Average) and CGPA (Cumulative Grade Point Average).
    SGPA is calculated on the basis of course credit and grade point of all courses in that semester. CGPA is cumulative in nature.
Curriculum
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SEMESTER - 1
Sr.No Subjects Teaching Scheme Theory (Marks) Practical (Marks) Total (Marks)
Theory (Hours) Practical (Hours) Credit CIE SEE CIE SEE
Theory Practical
1 040010101-Fundamentals of Programming 4 3 4 2 40 60 20 30 150
2 040010102-Relational DBMS 4 3 4 2 40 60 20 30 150
3 040010103-Computer Organization and Architecture 4 - 4 - 40 60 - - 100
4 040010105-Discrete Mathematics 4 - 4 - 40 60 - - 100
5 040010106-Introduction to Web Development 4 3 4 2 40 60 20 30 150
6 Remedial Session / Continuous Evaluation 3 - - - - - - - -
Total 24 6 240 360 60 90 750
SEMESTER - 2
Sr.No Subjects Teaching Scheme Theory (Marks) Practical (Marks) Total (Marks)
Theory(Hours) Practical (Hours) Credit CIE SEE CIE SEE
Theory Practical
1 040010201-Data Structures 4 4 2 40 60 20 30 150
2 040010202-Operating Systems 4 3 4 2 40 60 20 30 150
3 040010203-Software Engineering 4 3 4 2 40 60 20 30 150
4 040010204-System Software 4 - 4 - 40 60 - - 100
5 040010205-Enterprise Resource Planning 4 - 4 - 40 60 - - 100
6 040010206-Graph Theory with Applications 4 - 4 - 40 60 - - 100
7 Remedial Session / Continuous Evaluation - - - - - - - -
Total 24 6 240 360 60 90 750
SEMESTER - 3
Sr.No Subjects Teaching Scheme Theory (Marks) Practical (Marks) Total (Marks)
Theory (Hours) Practical (Hours) Credit CIE SEE CIE SEE
Theory Practical
1 040010301-Application Development in Java 4 3 4 2 40 60 20 30 150
2 040010302-Visual Programming 4 3 4 2 40 60 20 30 150
3 040010303-Software Testing 4 3 4 2 40 60 20 30 150
4 040010304-Computer Networks 4 - 4 - 40 60 - - 100
5 040010305-Information Systems 4 - 4 - 40 60 - - 100
6 040010306-Statistical Methods 4 - 4 - 40 60 - - 100
7 Dissertation / Continuous Evaluation - - - - - - - -
Total 24 6 240 360 60 90 750
SEMESTER - 4
Sr.No Subjects Teaching Scheme Theory (Marks) Practical (Marks) Total (Marks)
Theory (Hours) Tutorial Practical (Hours) Credit CIE SEE CIE SEE
Theory Practical
1 040010401-UNIX Internals and Shell Programming 4 - 3 4 2 40 60 20 30 150
2 040010402-Web Application Development 4 - 3 4 2 40 60 20 30 150
3 040010403-Web Technology 4 - - 4 - 40 60 - - 100
4 040010404-Computer Oriented Operations Research Methods 4 - - 4 - 40 60 - - 100
5 040010405-Project - - - 4 - - 40 60 100
6 040010406-Dissertation - - 2 - 2 - - 20 30 50
7 Elective-I 4 - - 4 - 40 60 - - 100
8 Remedial Sessions / Continuous Evaluation / Presentation 3 - - - - - - - - -
Total 23 - 13 20 10 200 300 100 150 750
Elective-I
040010407-Database Administration
040010408-Network Administration
040010409-Search Engine Optimization
040010410-Knowledge Management
040010411-Information Security
SEMESTER - 5
2016 - 17
Sr.No Subjects Teaching Scheme Theory (Marks) Practical (Marks) Total (Marks)
Theory (Hours) Practical (Hours) Credit CIE SEE CIE SEE
Theory Practical
1 040010513 - Advanced Mobile Application Development 4 3 4 2 40 60 20 30 150
2 040010514 - MVC Frameworks 4 3 4 2 40 60 20 30 150
3 040010515 - Collaborative Content Management Systems 4 3 4 2 40 60 20 30 150
4 040010516 - Web Analytics 3 - 3 - 40 60 - - 100
List of Elective -III (Any 1)
5 040010506 - Project - 6 - 4 - - 40 60 100
040010507 - Dissertation - 6 - 4 - - 40 60 100
List of Elective -IV (Any 1)
6 040010517 - Advanced Information System 3 3 3 2 40 60 20 30 150
040010518 - Distributed Computing 3 3 3 2 40 60 20 30 150
040010519 - Fundamentals of Game Programming 3 3 3 2 40 60 20 30 150
040010520 - GIS Application Development 3 3 3 2 40 60 20 30 150
040010521 - Internet of Things 3 3 3 2 40 60 20 30 150
040010522 - Soft Computing Techniques 3 3 3 2 40 60 20 30 150
040010523 - Fundamentals of Data Science 3 3 3 2 40 60 20 30 150
040010524 - Software Project Management 3 3 3 2 40 60 20 30 150
040010525 - Digital Image Processing 3 3 3 2 40 60 20 30 150
Total 18 18 18 12 200 300 120 180 800
OLD
Sr.No Subjects Teaching Scheme Theory (Marks) Practical (Marks) Total (Marks)
Theory (Hours) Tutorial Practical (Hours) Credit CIE SEE CIE SEE
Theory Practical
1 040010501-Mobile Application Development 4 - 3 4 2 40 60 20 30 150
2 040010502-SharePoint Development 4 - 3 4 2 40 60 20 30 150
3 040010503-Content Management Systems 4 - - 4 - 40 60 - - 100
4 040010504-Cyber Security 3 - - 3 - 40 60 - - 100
5 040010505-Emerging Technologies 4 - - 4 - 40 60 - - 100
6 040010506-Project - - 3 - 2 - - 20 30 50
7 040010507-Dissertation - - 4 - 3 - - 40 60 100
8 Elective-I 4 - - 4 - 40 60 - - 100
Total           240 360 100 150 850
Elective-I
040010508-Data Mining Models and Methods
040010509-Wireless Communications
040010510-Cloud Computing
040010511-Intelligent Systems
040010512-Network Security
SEMESTER - 6
Sr.No Subjects Teaching Scheme Theory (Marks) Practical (Marks) Total (Marks)
Theory (Hours) Tutorial Practical (Hours) Credit CIE SEE CIE SEE
Theory Practical
1 040010601-Project                    
Total                    
Fee Structure
1. Tuition Fee

Rs. 32,500 Per Semester.

2. Other Fee

Rs. 3,250 Per Semester

(It includes Cultural Activities, Sports Activities, Internal Examination, Laboratory support, Books support, Student Welfare, Campus Development)

3. One Time Fee

Rs. 6,150 At time of admission

(It includes College Deposit, Registration, and I-Card)

Programme Outcome (PO) & Programme Specific Outcomes (PSO)
Programme Outcome (PO)

The student will have ;

  • Proficiency in and ability to identify problems related to computer science as well as design and apply computational knowledge to solve them.
  • Ability to design, develop, test and maintain system, component, product or process as per needs and specification.
  • Understanding of professional and ethical role and responsibility.
  • Recognition of the need for and an ability towards life-long learning.
  • Knowledge of programming languages, database systems, operating systems, software engineering, Web & Mobile technology and relevant modern issues.
  • Ability to demonstrate the use of modern tools, models and languages to solve problems related to software development
  • An ability to communicate and present knowledge effectively.
Programme Specific Outcomes (PSO)
  • PSO1: Practice principles of computer science for software development
  • PSO2: Design and develop Web and Mobile based computer applications with support of emerging technologies namely Big data analytics and IoT.
  • PSO3: Apply knowledge of software engineering, databases and state-of-art computing techniques to build computer applications that solves real world problems.
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