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Fees
₹1,20,000
Placement
92.0%
Avg Package
₹4,00,000
Highest Package
₹8,00,000
Fees
₹1,20,000
Placement
92.0%
Avg Package
₹4,00,000
Highest Package
₹8,00,000
Seats
120
Students
1,200
Seats
120
Students
1,200
The Bachelor of Computer Applications (BCA) program at Sri Gayatri Vidya Parishd Dgree College Prakasam is designed to provide a robust and comprehensive educational experience over three years. The curriculum is carefully structured to ensure that students gain both theoretical knowledge and practical skills in the field of computer applications. The program is divided into six semesters, with each semester consisting of core subjects, departmental electives, science electives, and lab sessions.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | BCA101 | Introduction to Computer Science | 3-0-0-3 | None |
| 1 | BCA102 | Programming in C | 3-0-0-3 | None |
| 1 | BCA103 | Mathematics for Computer Applications | 3-0-0-3 | None |
| 1 | BCA104 | English Communication | 3-0-0-3 | None |
| 1 | BCA105 | Introduction to Web Technologies | 3-0-0-3 | None |
| 1 | BCA106 | Computer Organization | 3-0-0-3 | None |
| 1 | BCA107 | Lab: Programming in C | 0-0-3-1 | None |
| 1 | BCA108 | Lab: Computer Organization | 0-0-3-1 | None |
| 2 | BCA201 | Data Structures and Algorithms | 3-0-0-3 | BCA102 |
| 2 | BCA202 | Database Management Systems | 3-0-0-3 | None |
| 2 | BCA203 | Object-Oriented Programming in Java | 3-0-0-3 | BCA102 |
| 2 | BCA204 | Software Engineering | 3-0-0-3 | None |
| 2 | BCA205 | Computer Networks | 3-0-0-3 | BCA106 |
| 2 | BCA206 | Lab: Data Structures and Algorithms | 0-0-3-1 | BCA201 |
| 2 | BCA207 | Lab: Database Management Systems | 0-0-3-1 | BCA202 |
| 2 | BCA208 | Lab: Object-Oriented Programming in Java | 0-0-3-1 | BCA203 |
| 3 | BCA301 | Operating Systems | 3-0-0-3 | BCA201 |
| 3 | BCA302 | Artificial Intelligence and Machine Learning | 3-0-0-3 | BCA201 |
| 3 | BCA303 | Cybersecurity Fundamentals | 3-0-0-3 | BCA205 |
| 3 | BCA304 | Web Development Technologies | 3-0-0-3 | BCA105 |
| 3 | BCA305 | Mobile Application Development | 3-0-0-3 | BCA203 |
| 3 | BCA306 | Lab: Operating Systems | 0-0-3-1 | BCA301 |
| 3 | BCA307 | Lab: Artificial Intelligence and Machine Learning | 0-0-3-1 | BCA302 |
| 3 | BCA308 | Lab: Cybersecurity Fundamentals | 0-0-3-1 | BCA303 |
| 4 | BCA401 | Cloud Computing | 3-0-0-3 | BCA301 |
| 4 | BCA402 | Data Science and Analytics | 3-0-0-3 | BCA201 |
| 4 | BCA403 | Advanced Web Technologies | 3-0-0-3 | BCA304 |
| 4 | BCA404 | Project Management | 3-0-0-3 | None |
| 4 | BCA405 | Capstone Project | 3-0-0-3 | BCA301, BCA302 |
| 4 | BCA406 | Lab: Cloud Computing | 0-0-3-1 | BCA401 |
| 4 | BCA407 | Lab: Data Science and Analytics | 0-0-3-1 | BCA402 |
| 4 | BCA408 | Lab: Advanced Web Technologies | 0-0-3-1 | BCA403 |
| 5 | BCA501 | Research Methodology | 3-0-0-3 | None |
| 5 | BCA502 | Specialized Elective I | 3-0-0-3 | None |
| 5 | BCA503 | Specialized Elective II | 3-0-0-3 | None |
| 5 | BCA504 | Internship | 0-0-0-3 | None |
| 5 | BCA505 | Research Project | 0-0-0-3 | BCA501 |
| 6 | BCA601 | Advanced Elective I | 3-0-0-3 | None |
| 6 | BCA602 | Advanced Elective II | 3-0-0-3 | None |
| 6 | BCA603 | Capstone Project | 3-0-0-3 | BCA505 |
| 6 | BCA604 | Final Project | 0-0-0-3 | BCA603 |
Advanced departmental elective courses in the BCA program are designed to provide students with in-depth knowledge and practical skills in specialized areas of computer applications. These courses are offered in the later semesters and are tailored to meet the evolving demands of the industry.
This course introduces students to the fundamental concepts of artificial intelligence and machine learning. It covers topics such as neural networks, deep learning, natural language processing, and computer vision. Students will gain hands-on experience in building AI models and applying them to real-world problems.
The course provides a comprehensive overview of cybersecurity principles and practices. It covers network security, cryptography, risk management, and incident response. Students will learn how to protect digital systems and data from cyber threats.
This course explores the architecture and implementation of scalable cloud-based systems. It covers virtualization, containerization, and cloud platforms such as AWS and Azure. Students will gain practical experience in deploying and managing cloud applications.
This course emphasizes statistical analysis, data mining, and visualization techniques. Students will learn how to analyze large datasets and derive actionable insights for business decision-making. The course includes hands-on projects using tools such as Python, R, and SQL.
This course focuses on developing mobile applications for iOS and Android platforms. Students will learn about mobile UI/UX design, app development frameworks, and deployment strategies. The course includes practical projects using tools such as React Native and Flutter.
This course covers modern web development technologies and frameworks. Students will learn how to build responsive websites and web applications using HTML, CSS, JavaScript, and backend technologies such as Node.js and Django.
This course provides an in-depth understanding of operating systems concepts and design principles. It covers process management, memory management, file systems, and security mechanisms. Students will gain practical experience in system programming and OS internals.
This course focuses on the principles and practices of software engineering. It covers software design, testing, maintenance, and project management. Students will learn how to develop high-quality software systems using agile methodologies and tools.
This course introduces students to database concepts and technologies. It covers relational databases, SQL, normalization, and transaction management. Students will gain hands-on experience in designing and implementing database systems.
This course explores the principles and protocols of computer networks. It covers network architecture, routing, switching, and security. Students will learn how to design and implement network solutions for various applications.
The department's philosophy on project-based learning is rooted in the belief that hands-on experience is essential for developing practical skills and deep understanding. Projects are designed to simulate real-world challenges and encourage students to apply their knowledge in innovative ways.
The structure of project-based learning includes mini-projects in the early semesters, which are typically completed in groups and focus on specific technical skills. As students progress, they are encouraged to choose more complex and independent projects, culminating in a final-year thesis or capstone project.
Projects are evaluated based on multiple criteria, including technical execution, creativity, documentation, and presentation. Faculty mentors guide students throughout the project lifecycle, providing feedback and support to ensure successful outcomes.
Students select their projects based on their interests and career goals, with faculty mentors available to provide guidance and resources. The department also facilitates collaboration with industry partners, offering students opportunities to work on real-world projects and gain exposure to current industry trends.
