MCA Course Structure and Syllabus

(Applicable to the candidates admitted from the academic year 2017-2018 onwards)

MCA PROGRAMME COURSE STRUCTURE UNDER CBCS

Course Code

Course Type

Course Name

L

T

P

C

Marks

Int.

Extn.

Total

   

Semester I

             

MCA17101

Core Course I

Discrete Mathematics

5

0

0

4

40

60

100

MCA17102

Core Course II

Computer Organization

5

0

0

4

40

60

100

MCA17103

Core Course III

Data Structure and

Algorithms

5

0

0

4

40

60

100

MCA17104

Core Course IV

Database Systems

5

0

0

4

40

60

100

MCA17105

Core Course V

Accounting and Financial

Management

4

0

0

4

40

60

100

MCA17106

Core Course VI

Data Structures Lab using C++

0

0

3

2

40

60

100

MCA17107

Core Course VII

Database Lab

0

0

3

2

40

60

100

   

Total

30

24

-

-

700

   

Semester II

         

MCA17201

Core Course VIII

Optimization Techniques

4

0

0

4

40

60

100

MCA17202

Core Course IX

Operating System

4

0

0

4

40

60

100

MCA17203

Core Course X

Java Programming

4

0

0

4

40

60

100

MCA17204

Core Course XI

Computer Networks

4

0

0

4

40

60

100

MCA17205

Elective Course I

Bio Informatics / Business

Intelligence / Management Information System

4

0

0

4

40

60

100

MCA17206

Core Course XII

Java Programming Lab

0

0

3

2

40

60

100

MCA17207

Core Course XIII

Networks Lab

0

0

3

2

40

60

100

 

EDC

Extra Disciplinary Course  I

4

0

0

2

40

60

100

   

Total

30

26

-

-

800

   

Internship Period

         
   

Semester III

         

MCA17301

Core Course XIV

Computer Graphics and Digital Experience

4

0

0

4

40

60

100

MCA17302

Core Course XV

Data Warehousing and Data Mining

4

0

0

4

40

60

100

MCA17303

Core Course XVI

Software Engineering

4

0

0

4

40

60

100

MCA17304

Core Course XVII

OOAD and UML

4

0

0

4

40

60

100

MCA17305

Elective Course II

Artificial Intelligence and Expert System / Simulation and Modeling / Parallel Processing

4

0

0

4

40

60

100

MCA17306

Core Course XVIII

Computer Graphics and Digital Experience Lab

0

0

3

2

40

60

100

MCA17307

Core Course XIX

Software Engineering Lab

0

0

3

2

40

60

100

 

EDC

Extra Disciplinary Course II

4

0

0

2

40

60

100

   

Total

30

26

-

-

800

   

Semester IV

         

MCA17401

Core Course XX

Web Technologies

5

0

0

4

40

60

100

MCA17402

Core Course XXI

Mobile Application Development

5

0

0

4

40

60

100

MCA17403

Core Course XXII

Visual Programming

5

0

0

4

40

60

100

MCA17404

Core Course XXIII

Software  Quality Assurance

5

0

0

4

40

60

100

MCA17405

Elective Course III

Soft Computing /  Cloud Computing / Robotic Automation

4

0

0

4

40

60

100

MCA17406

Core Course XXIV

Mobile Application Development Lab

0

0

3

2

40

60

100

MCA17407

Core Course XXV

Visual Programming Lab

0

0

3

2

40

60

100

   

Total

30

24

-

-

700

   

Project Phase I Review

         
   

Semester V

         

MCA17501

Core Course XXVI

Big Data Analytics

5

0

0

4

40

60

100

MCA17502

Core Course XXVII

Organizational Behaviour and Professional Ethics

5

0

0

4

40

60

100

MCA17503

Core Course XXVIII

Security in Computing

5

0

0

4

40

60

100

MCA17504

Elective Course IV

Embedded Systems / Human Computer Interaction / Real Time Operating Systems

5

0

0

4

40

60

100

MCA17505

Elective Course V

Internet of Things  / Digital Image Processing /

Introduction to Industry Domains

4

0

0

4

40

60

100

MCA17506

Core Course XXIX

Data Analytics Lab

0

0

3

2

40

60

100

MCA17507

Core Course XXX

Security Lab

0

0

3

2

40

60

100

   

Total

30

24

-

-

700

               
   

Semester VI

         

MCA17601

Core Course XXXI

Major Project *

-

-

-

16

-

-

200

   

Grand Total

-

-

-

140

-

-

3800

List of Elective Courses (For 2017 – 2018)

 

  Elective I

1

 Bio Informatics

2

 Business Intelligence

3

 Management Information System

   
 

 Elective II

1

 Artificial Intelligence 

2

 Simulation and Modeling 

3

 Parallel Processing

   
 

 Elective III

1

 Grid computing

2

 Soft Computing 

3

 Cloud Computing

   
 

 Elective IV

1

 Embedded Systems

2

 Human Computer Interaction

3

 Real Time Operating Systems

   
 

 Elective V

1

 IOT – Internet of Things

2

 Digital Image Processing

3

 Introduction to Industry Domains

   

 

Recommended Credits Distribution: (Total should not be less than 140 Credits)

Course Type

Course

Credits

Total Credits

 Core (Theory)

20

4

80

 Core (Practical)

10

2

20

 Core (Major Project )

1

16

16

 Elective

5

4

20

 Extra Disciplinary Course

2

2

4

 Total 

38

 

140

Note:

1. Theory Internal 40 marks External 60 marks

2. Practical Internal 40 marksExternal 60 marks

3.Separate passing minimum is prescribed for Internal and External

$1a)  The passing minimum for CIA shall be 40% out of 40 marks (i.e. 16 marks)

$1b)  The passing minimum for Semester Examinations shall be 40% out of 60 marks (i.e. 24 marks)

$1c)   The passing minimum not less than 50% in the aggregate.

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