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Dept. of Computer Applications
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Dept. of Computer Applications

  • Programme Description
  • Programme Structure
  • Programme Enquiry

Programme Educational Objectives (PEOs)

PEO1: To prepare the graduates as successful professionals ready for Industry, Government sectors, Academia, Research, Entrepreneurial Pursuit and Consultancy firms.

PEO2: To prepare the graduates with Ethical Attitude, Effective Communication Skills and admitthemselves as ethical and responsible citizens with social commitments.

PEO3: To prepare the graduates with excellent computing ability so that to Comprehend, Analyse, Design and Create computing solutions for the real-time problems.

Programme Specific Outcomes (PSOs)

PSO1: Ability to pursue careers in IT industry/ consultancy/ research and development, teaching and allied areas related to computer science.

PSO2: Comprehend, explore and build up computer programs in the areas allied to Algorithms, System Software, Multimedia, Web Design and Big Data Analytics for efficient design of computer-based systems of varying complexity.

Programme Outcomes (POs)

PO1: Computational Knowledge: Understand and apply mathematical foundation, computing and domain knowledge for the conceptualization of computing models from defined problems.

PO2: Problem Analysis: Ability to identify, critically analyze and formulate complex computing problems using fundamentals of computer science and application domains.

PO3: Design / Development of Solutions: Ability to transform complex business scenarios and contemporary issues into problems, investigate, understand and propose integrated solutions using emerging technologies

PO4: Conduct Investigations of Complex Computing Problems: Ability to devise and conduct experiments, interpret data and provide well informed conclusions.

PO5: Modern Tool Usage: Ability to select modern computing tools, skills and techniques necessary for innovative software solutions

PO6: Professional Ethics: Ability to apply and commit professional ethics and cyber regulations in a global economic environment.

PO7: Life-long Learning: Recognize the need for and develop the ability to engage in continuous learning as a Computing professional.

PO8: Project Management and Finance: Ability to understand, management and computing principles with computing knowledge to manage projects in multidisciplinary environments.

PO9: Communication Efficacy: Communicate effectively with the computing community as well as society by being able to comprehend effective documentations and presentations.

PO10: Societal & Environmental Concern: Ability to recognize economical, environmental, social, health, legal, ethical issues involved in the use of computer technology and other consequential responsibilities relevant to professional practice.

PO11: Individual & Teamwork: Ability to work as a member or leader in diverse teams in multidisciplinary environment.

PO12: Innovation and Entrepreneurship: Identify opportunities, entrepreneurship vision and use of innovative ideas to create value and wealth for the betterment of the individual and society.


I Year (R20 Regulation)

I Semester

Code Course Title L P C

20MC101

Computer Programming and Data Structures

3

3

5

20MC103

Database Management Systems

3

3

5

20MC105

Programming through Python

3

3

5

20MC107

Computer Organization

3

-

3

20MC109

Software Engineering

3

-

3

20MC111

Probability and Statistics

3

-

3

20MC113

Technical English Communication

3

-

3

Total

18

9

24

 

I Year (R20 Regulation)

II Semester

Code Course Title L P C

20MC102

Operating Systems

3

-

3

20MC104

Object Oriented Programming through Java

3

3

5

20MC106

Web Scripting Through PHP & MYSQL

3

3

5

20MC110

Computer Networks

3

-

3

20MC112

Software Project Management

3

-

3

20MC114

Soft Skills Lab

-

3

2

20MC116

Mini Project – I

-

3

2

Total

18

12

26


II Year (R20 Regulation)

III Semester

Code Course Title L P C

20MC201

Internet of Things

3

-

3

20MC203

Data Mining

3

3

5

20MC205

Mobile Application Development

3

3

5

20MC207

Cryptography and Network Security

3

-

3

Elective – I (one of two chosen)

20MC209

Big data Analytics

3

-

3

20MC211

Cloud Computing

3

-

3

Elective – II (one of two chosen)

20MC213

Machine Learning

3

-

3

20MC215

Data Science using Python

3

-

3

Total

18

6

22


II Year (R20 Regulation)

IV Semester

Code Course Title L P C

20MC202

Internship/Project Work

-

-

15

Total

-

-

15

                  
    L=Lecture;    T=Tutorial;    P=Practicals;    To=Total; C=Credits;
Programme Name 1. Master Of Computer Applications
2. Ph.D in Computer Applications
Level Post Graduation
Programme Specific Enquiries 0863-2344765
Admission Enrollment and General Enquiries 0863-2344777, 1800-425-2529
HoD Contact Number 9347162038
Coordinator Contact Number 9347162038