Computer Applications (MCA)

Eligibility Criteria

1. Bachelor’s degree with 50% marks
2. Admission is entrance based (PGCET or KMAT entrance exam mandatory)
3. Candidates should have studied Mathematics / Statistics / Computer Science / Business Mathematics / Business Statistics at 10+2 stage or at graduation level.

Procedure:

1. Application forms and prospectus are to be obtained from the college office on payment of the prescribed fee of Rs.300/- by DD favoring principal KLE MCA College, payable at Bangalore.
2. The duly filled-in application form must be submitted to the college office with a Photostat copy of marks statement of qualifying examination before the stipulated date.
3. The belated and incomplete application forms will not be considered.
4. Admissions are made subject to the approval of Bangalore University.
5. Admission will be made according to the Government reservation policy.
6. The list of selected candidates will be notified on the College notice board.
7. The selected candidates must meet the admission committee with original documents along with 2 Photostat copies of each of the following:
8. Marks Statement
9. Transfer Certificate (T.C)
10. Migration Certificate (for non-Karnataka candidates only)
11. Date of Birth Certificate
12. Caste/Category Certificate
13. Photographs –4 passport size
14. A Copy of the income/ salary certificate (For SC/ST students only)
15. The candidates cannot claim the admission as a matter of right by buying the application form.

 When to apply:

The admission process commences during the month of July of every year and extends till the last date of admission as per the university regulations or availability of seats, whichever is earlier.

To meet the online technical educational needs, the department is facilitated with state-of-the-art infrastructure which includes,

1. Fully enabled Wi-Fi campus
2. Digital Library
3. Modern Auditorium
4. Modern Audio-Visual Aids
5. Industry component Laboratories
6. e-Lecture halls

auditorium

library

classroom

Computer-lab

Students Profile:

Academic Results:

University Ranks

Sl. No	Department	Name of the student and Register Number	Rank	International/ State / university	Photo
01	MCA	SARANYA V (MC190810)	I	Bengaluru City University 2022
02	MCA	PRIYANKA PATIL (MC190809)	II	Bengaluru City University 2022
03	MCA	VARNITHA D (MC190812)	V	Bengaluru City University 2022
04	MCA	PAVITHRA M (MC200830)	I	Bengaluru City University 2022
05	MCA	ARCHANA J (MC200803)	IV	Bengaluru City University 2022
06	MCA	SUSHMA S R (MC200830)	V	Bengaluru City University 2022

PROGRAM OUTCOMES (POs)

PO 1 –  Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of computer science engineering problems.

PO 2 –  Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO 3 –  Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

PO 4 –  Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

PO 5 –  Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

PO 6 – The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

PO 7 –  Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

PO 8 –  Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO 9 –  Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO 10 –  Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

PO 11 – Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

PO 12 – Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change

Course Outcome

 Program Specific Outcome (Objectives) – PSOs

PSO 1 – An ability to understand the core concepts of computer science and engineering and to enrich problem solving skills to analyze, design and implement software and hardware based systems of varying complexity.

PSO 2 – To interpret real-time problems with analytical skills and to arrive at cost effective and optimal solution using advanced tools and techniques.

PSO 3 – An understanding of social awareness and professional ethics with practical proficiency in the broad area of programming concepts by lifelong learning to inculcate employment and entrepreneurship skills.

PSO 4 – Ability to pursue careers in IT industry/ consultancy/ research and development, teaching and allied areas related to computer science.

PSO 5 – 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.

MINOR RESEARCH PROJECT on “Overcoming the Societal Challenges in implementing e-Governance “ by Prof. Parvati N. Angadi

A lockdown initiative had been taken by the MCA Department by participating in LEARNTHON 2020 and conducting Webinar series on “Technology for Future” by ICT Academy and the details are as follows:

STRIDE Component – 1:

STRIDE Component – 2: Minor Research Project

 Publications

1. Virtual Intelligence and Component Security in Cloud Infrastructure” at SJES College of Management Studies in International Conference
2. “Wireless Security and Technical Challenges” presented at S.E.A College Science Commerce and Arts in UGC Sponsored National Conference
3. “E-Governance: Bridging the Digital divide” – ISBN:978-1-5136-1658-2 presented at Adarsh Institute of Management and Information Technology, Bangalore in International Conference on “Science and Technology for National Development – SMAC: An Emerging tool – 2016”
4. “Challenges for e–Governance in India” – ISBN: 978-93-84494-72-8 presented at KLE Society’s S Nijalingappa College Bangalore in UGC Sponsored National Conference on “Corporate Governance and CSR under new Companies ACT,2013”
5. “E-Governance: Opportunities and Challenges – ISBN: 978-93-85629-14-3 presented at Basaweshwara College of Commerce, Arts and Science, Bangalore in UGC Sponsored National Conference on “Evolving Trends and Challenges in Science Education and Research – an Exploration”.
6. “Bridging the Digital divide in India: Challenges and Opportunities” presented at Surana College, Bangalore in Two days Interdisciplinary National Conference on “Digital Transformation”
7. “A novel framework for efficient identification of brain cancer region from brain MRI” an International Journal of Emerging Technology and Advanced Engineering www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 8, Issue 1, January 2018)
8. “Efficient Early Detection of Breast Cancer Detection using ANN and DWT” Communications on Applied Electronics, (CAE) Foundation of Computer Science FCS, Newyork, USA ISSN: 2394-4714 Volume 7–No. 13, F 2018
9. “A neural classifier approach for the prediction of optimal breast cancer attributes” an International Journal of Current Research ISSN: 0975-833X
10. “Automatic mass classification of breast cancer using ANN” International Journal of Current Research ISSN: 0975-833X
11. “Cumulative Techniques for Early Detection of Breast Cancer: A Review” International Journal of Emerging Technologies in Computational and Applied Sciences (IJETCAS) ISSN (Print): 2279-0047 ISSN (Online): 2279-0055.
12. “DODOR: Dual Optimization for Detection of Oncological Region in Radiological Image” an IEEE Journal 978-1-4673-9563-2/15/$31.00 ©2015 IEEE
13. “Network Security” at Nehru Arts and Science College, Coimbatore at National Level Conference.
14. “Strategic Value Creation in Higher Education” at Malleswaram ladies Association, First Grade College for Women in National Level Conference.
15. “Automatic mass classification of breast Cancer using ANN” at Sun College of Engineering, Nagercoil, Tamil Nadu in International Level Conference.
16. “Role of Mathematics and Software Tools in Image Capturing Digital Technologies” at Basaveshwara College of Commerce, Arts, and Science, Bangalore in National Level Conference.
17. “Review on PET Molecular Imaging Technology in the Field of Nanotechnology” at Department of Bio-Technology, KLESNC Bangalore in National Level Conference
18. “Comparative Analysis on Magnetic Strip & RFID digital card technologies ” at Adarsh Institute of Management and Information Technology Bangalore in International Level Conference

MANDATORY DISCLOSURE 2023-2024