Program Overview
The Bachelor of Computer Applications (BCA) program at Surana Educational Institutions is a dynamic undergraduate program designed to equip students with the foundational knowledge and practical skills required to excel in the field of Information Technology. Blending academic rigor with hands-on learning and industry exposure, the program prepares students for diverse careers in software development, IT consulting, and emerging technology fields.
Key Features
Modern Computing Infrastructure: Access to state-of-the-art computer labs and advanced technology to meet the dynamic demands of the IT industry.- Industry-Aligned Curriculum: Courses designed to reflect current trends in technology, ensuring students gain relevant and in-demand skills.
- Skill-Based Training: Opportunities for certifications in cutting-edge technologies, such as Python, Cloud Computing, AI, Data Visualization, and Cybersecurity.
- Experienced Faculty: A team of highly qualified educators and industry practitioners committed to mentoring students through innovative teaching methods and real-world projects.
- Pre-Placement Training: Specialized programs, including collaborations with industry leaders to enhance employability and prepare students for competitive job markets.
Eligibility
- A pass at the +2 level (Karnataka PUC / ISC / CBSE / State Boards) from any recognized Board in India.
- Students must have a minimum of 50% marks in class 12 to be eligible for admission.
- The merit is calculated based on the candidate’s performance in the qualifying exam (12th).
Specialisation
- 1. Artificial Intelligence and Machine Learning
- 2. Full Stack Development
- 3. Data Science
VISION
To give quality individuals to the society as useful resource in nation building.
MISSION
Empowering Young Minds to the changing needs.
Program Outcomes
- PO 1: Explain the principal theories and concepts in core disciplines of study.
- PO 2: Decipher real time problems to offer feasible solutions
- PO 3: Apply critical thinking, analytical skills and domain specific knowledge for data driven decisions
- PO 4: Exhibit leadership qualities and effectively collaborate with diverse teams to achieve the set outcomes
- PO 5: Communicate proficiently in both oral and written format for professional and personal needs
- PO 6: Design and participate in activities to promote ethical practices and social sensitivity.
- PO 7: Adapt emerging tools and technologies to address industry requirements
- PO 8:Develop and deliver software solutions that prioritizes user requirements.
Value Added Courses
- 1. MERN Stack Development
- 2. Internet of Things
- 3. Cloud Services and AWS
- 4. Generative AI
- 5. Advanced Excel with AI
- 6. Data Engineering
Name: Mrs. Vidya A
Designation: Assistant Professor
Qualification: MCA
Teaching Experience: 25 Years
Name: Mrs. Ashwini. S. Diwakar
Designation: Assistant Professor
Qualification: MSc(CS), MTch(IT), (PhD)
Teaching Experience: 18 Years
Name: Mrs.Shravani.B
Designation: Assistant Professor
Qualification: MCA, (PhD)
Teaching Experience:14 Years
Name: Ms. Asha H
Designation: Assistant Professor
Qualification: MCA, (PhD)
Teaching Experience: 2 Years
Name: Mrs. Spoorthi K S
Designation: Assistant Professor
Qualification: MCA
Teaching Experience: 10 Years
Name: Mrs. Pankaja Benkal
Designation: Assistant Professor
Qualification: MCA, B.Ed
Teaching Experience: 13 Years
Name: Mrs. Madhushree B S
Designation: Assistant Professor
Qualification: MSC(CS), B.Ed
Teaching Experience: 3 Years
Name: Mrs. Geetha A.M
Designation: Assistant Professor & IQAC-Convenor
Qualification: MSc, MPhil, NET, [PhD]
Teaching Experience: 19 Years
Name: Dr. Govindaraj Pandith TG
Designation: Associate Professor
Qualification: M.Sc, PGDCA, Ph.D
Teaching Experience:
Name: Ms. Vidhya H B
Designation: Assistant Professor
Qualification: MCA
Teaching Experience:
Name: Briti Deb
Designation: Assistant Professor
Qualification: M.Sc, M.Tech
Teaching Experience:
| Sl No | Event Name | Date | Brochure |
| 1 | Think Code Optimize Repeat | 13-02-2025 | View |
| 2 | “Think Before You Click: Cyber Awareness in Everyday Life" | 01-02-2025 | View |
| 3 | Mobile Application Development | 10-01-2025 | View |
| 4 | INDUSTRIAL VISIT TO eMUDHR | 12-11-2024 | View |
| 5 | GODOT Engine Workshop | 10-11-2024 | View |
| 6 | Guest Lecture | 01-02-2025 | View |
| 7 | Inauguration of Esoteric – The IT Club | 31-08-2024 | View |
| 8 | Person To Personality – An Interview with IT Professional | 10-08-2024 | View |
| 9 | MongoDB Self-certification course | 10-09-2024 | View |
| 10 | Bridge course for I Sem BCA Students | 26-07-2024 | View |
| 11 | Network Security: Trend and Challenges | 10-08-2024 | View |
| 12 | Design Lab – Figma workshop | 03-08-2024 | View |
| 13 | INTERNSHIP ORIENTATION FOR FINAL YEAR BCA STUDENT | 02-07-2024 | View |
I SEM BCA COURSE MATRIX
| Sl. No. | Course Title | Credits | CIE Marks | SEE Marks | Total Marks |
| 1 | Language 1 | 3 | 20 | 80 | 100 |
| 2 | Language 2 | 3 | 20 | 80 | 100 |
| 3 | Environmental Studies (EVS) | 2 | 10 | 40 | 50 |
| 4 | Discrete Structures | 3 | 20 | 80 | 100 |
| 5 | Problem-Solving Techniques | 3 | 20 | 80 | 100 |
| 6 | Computer Architecture | 3 | 20 | 80 | 100 |
| 7 | Problem-Solving Technique Lab | 2 | 10 | 40 | 50 |
| 8 | Computer Architecture Lab | 2 | 10 | 40 | 50 |
| 9 | Office Automation Tools (Lab) | 2 | 10 | 40 | 50 |
| Total | 25 | 190 | 560 | 750 |
II SEM BCA COURSE MATRIX
| Sl. No. | Course Title | Credits | CIE Marks | SEE Marks | Total Marks |
| 1 | Language 1 | 3 | 20 | 80 | 100 |
| 2 | Language 2 | 3 | 20 | 80 | 100 |
| 3 | Constitutional Values - I | 2 | 20 | 80 | 100 |
| 4 | Data Structures | 4 | 20 | 80 | 100 |
| 5 | Object-Oriented Programming using Java | 4 | 20 | 80 | 100 |
| 6 | Operating Systems | 4 | 20 | 80 | 100 |
| 7 | Data Structures Lab | 2 | 10 | 40 | 50 |
| 8 | Object Oriented Programming using Java Lab | 2 | 10 | 40 | 50 |
| 9 | Linux and Shell Programming Lab | 2 | 10 | 40 | 50 |
| Total | 26 | 140 | 560 | 700 |
III SEM BCA COURSE MATRIX
| Sl. No. | Course Title | Credits | CIE Marks | SEE Marks | Total Marks |
| 1 | Language 1 | 3 | 20 | 80 | 100 |
| 2 | Language 2 | 3 | 20 | 80 | 100 |
| 3 | Database Management System | 4 | 20 | 80 | 100 |
| 4 | Artificial Intelligence | 4 | 20 | 80 | 100 |
| 5 | Probability and Statistics | 4 | 20 | 80 | 100 |
| 6 | Artificial Intelligence Lab using Python | 2 | 10 | 40 | 50 |
| 7 | Database Management System Lab | 2 | 10 | 40 | 50 |
| 8 | Statistics using Spreadsheet Lab | 2 | 10 | 40 | 50 |
| 9 | Skill Enhancement Course | |
| Total | 24 | 140 | 560 | 700 |
IV SEM BCA COURSE MATRIX
| Sl. No. | Course Title | Credits | CIE Marks | SEE Marks | Total Marks |
| 1 | Language 1 | 3 | 20 | 80 | 100 |
| 2 | Language 2 | 3 | 20 | 80 | 100 |
| 3 | Database Management System | 4 | 20 | 80 | 100 |
| 4 | Artificial Intelligence | 4 | 20 | 80 | 100 |
| 5 | Probability and Statistics | 4 | 20 | 80 | 100 |
| 6 | Artificial Intelligence Lab using Python | 2 | 10 | 40 | 50 |
| 7 | Database Management System Lab | 2 | 10 | 40 | 50 |
| 8 | Statistics using Spreadsheet Lab | 2 | 10 | 40 | 50 |
| 9 | Skill Enhancement Course | |
| Total | 24 | 140 | 560 | 700 |
V SEM BCA COURSE MATRIX
| Sl. No. | Course Title | Credits | CIE Marks | SEE Marks | Total Marks |
| 1 | Internship | 2 | 50 | 50 | 100 |
| 2 | Discipline Elective-1: Data Mining | 3 | 40 | 60 | 100 |
| Discipline Elective-1: Computer Graphics | 3 | - | - | - |
| 3 | Discipline Vocational-1: Quantitative Techniques | 3 | 40 | 60 | 100 |
| 4 | DSC1: Artificial Intelligence | 4 | 40 | 60 | 100 |
| 5 | DSC2: Data Analytics | 4 | 40 | 60 | 100 |
| 6 | DSC3: Web Programming | 4 | 40 | 60 | 100 |
| 7 | DSC2 LAB: Data Analytics Lab | 2 | 25 | 25 | 50 |
| 8 | DSC3 LAB: Web Programming Lab | 2 | 25 | 25 | 50 |
| Total | 24 | 300 | 400 | 700 |
VI SEM BCA COURSE MATRIX
| Sl. No. | Course Name | Credits | CIE Marks | SEE Marks | Total Marks |
| 1 | Project | 4 | 40 | 60 | 100 |
| 2 | Discipline Elective-2: Operation Research | 3 | 40 | 60 | 100 |
| Discipline Elective-2: Software Testing | 3 | - | - | - |
| 3 | Discipline Vocational: Electronic Content Design | 3 | 40 | 60 | 100 |
| 4 | Cyber Crime, Cyber Law and Intellectual Property Right | 3 | 40 | 60 | 100 |
| 5 | Machine Learning | 4 | 40 | 60 | 100 |
| 6 | Mobile Application Development | 4 | 40 | 60 | 100 |
| 7 | Machine Learning Lab | 2 | 25 | 25 | 50 |
| 8 | Mobile Application Development Lab | 2 | 25 | 25 | 50 |
| Total | 25 | 290 | 410 | 700 |
