Course Structure Overview
The Bachelor of Computer Applications (BCA) program at Government Degree College Puttur Chittoor spans three years, divided into six semesters. The curriculum is designed to provide students with a strong foundation in computer science principles while allowing flexibility for specialization and practical application through laboratory sessions, mini-projects, and capstone research.
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| I | BSC101 | Introduction to Computers | 3-0-0-2 | - |
| I | BSC102 | Programming in C | 3-0-0-2 | - |
| I | BSC103 | Mathematics for Computer Science | 4-0-0-2 | - |
| I | BSC104 | Computer Fundamentals | 3-0-0-2 | - |
| I | BSC105 | English Communication Skills | 3-0-0-2 | - |
| I | BSC106 | Lab: Programming in C | 0-0-3-1 | BSC102 |
| II | BSC201 | Data Structures and Algorithms | 4-0-0-2 | BSC102 |
| II | BSC202 | Object-Oriented Programming in Java | 3-0-0-2 | BSC102 |
| II | BSC203 | Digital Logic and Computer Organization | 3-0-0-2 | BSC104 |
| II | BSC204 | Database Management Systems | 3-0-0-2 | BSC201 |
| II | BSC205 | Computer Networks | 3-0-0-2 | BSC203 |
| II | BSC206 | Lab: Object-Oriented Programming in Java | 0-0-3-1 | BSC202 |
| III | BSC301 | Operating Systems | 3-0-0-2 | BSC201 |
| III | BSC302 | Software Engineering | 3-0-0-2 | BSC201 |
| III | BSC303 | Web Technologies | 3-0-0-2 | BSC202 |
| III | BSC304 | Mobile Application Development | 3-0-0-2 | BSC202 |
| III | BSC305 | Statistical Methods for Computing | 3-0-0-2 | BSC103 |
| III | BSC306 | Lab: Web Technologies | 0-0-3-1 | BSC303 |
| IV | BSC401 | Artificial Intelligence and Machine Learning | 3-0-0-2 | BSC305 |
| IV | BSC402 | Cybersecurity Fundamentals | 3-0-0-2 | BSC205 |
| IV | BSC403 | Data Mining and Warehousing | 3-0-0-2 | BSC304 |
| IV | BSC404 | Cloud Computing | 3-0-0-2 | BSC205 |
| IV | BSC405 | Human Computer Interaction | 3-0-0-2 | BSC303 |
| IV | BSC406 | Lab: Artificial Intelligence and Machine Learning | 0-0-3-1 | BSC401 |
| V | BSC501 | Advanced Database Systems | 3-0-0-2 | BSC204 |
| V | BSC502 | Project Management | 3-0-0-2 | BSC302 |
| V | BSC503 | Research Methodology | 3-0-0-2 | - |
| V | BSC504 | Internship Training | 0-0-0-2 | - |
| V | BSC505 | Elective: Game Development | 3-0-0-2 | BSC304 |
| V | BSC506 | Lab: Internship Training | 0-0-3-1 | BSC504 |
| VI | BSC601 | Capstone Project | 0-0-0-4 | BSC503 |
| VI | BSC602 | Elective: Blockchain Technologies | 3-0-0-2 | BSC401 |
| VI | BSC603 | Elective: Mobile Application Development | 3-0-0-2 | BSC304 |
| VI | BSC604 | Elective: UX Design | 3-0-0-2 | BSC303 |
| VI | BSC605 | Elective: Cloud Computing | 3-0-0-2 | BSC404 |
| VI | BSC606 | Lab: Capstone Project | 0-0-3-2 | BSC601 |
Advanced Departmental Elective Courses
The department offers a range of advanced elective courses that allow students to deepen their expertise in specialized areas. These courses are designed by faculty members with industry experience and are aligned with current trends in the field.
- Artificial Intelligence and Machine Learning: This course introduces students to the fundamentals of AI, including machine learning algorithms, neural networks, deep learning, and natural language processing. Students will gain hands-on experience with frameworks like TensorFlow and PyTorch.
- Cybersecurity Fundamentals: Covering topics such as cryptography, network security, system administration, and ethical hacking, this course prepares students for careers in digital security. Practical labs simulate real-world scenarios to enhance understanding.
- Data Mining and Warehousing: Focused on extracting valuable insights from large datasets, this course covers data warehouse design, ETL processes, clustering, classification, and association rule mining using tools like Python and SQL.
- Cloud Computing: This course explores cloud infrastructure, deployment models, service offerings (IaaS, PaaS, SaaS), and virtualization technologies. Students will work with platforms like AWS, Azure, and Google Cloud Platform.
- Human Computer Interaction: Designed to teach students how to design intuitive interfaces and improve user experience through usability testing, prototyping, and interaction design principles.
- Mobile Application Development: This course covers cross-platform development using frameworks like React Native and Flutter. Students will learn to build responsive apps for iOS and Android devices.
- Game Development: Introducing students to game design principles, 3D modeling, animation, and scripting languages used in game engines like Unity and Unreal Engine.
- Database Management Systems: Advanced topics in database architecture, normalization, indexing, transaction processing, and performance tuning are covered in this course.
- Software Engineering: This course emphasizes software development lifecycle, agile methodologies, testing strategies, documentation, and project management techniques.
- Internet of Things (IoT): Exploring sensor networks, embedded systems, communication protocols, and IoT architecture, this course prepares students for building smart devices and systems.
Project-Based Learning Philosophy
The department's philosophy on project-based learning is rooted in the belief that real-world experience enhances theoretical knowledge and develops critical thinking skills. The program includes mandatory mini-projects in the second and third years, followed by a final-year capstone project.
Mini-projects are assigned based on student interest and faculty availability. Each project has clear learning objectives, deliverables, and evaluation criteria. Students work in teams to solve practical problems related to their specialization area, guided by faculty mentors who provide technical support and feedback throughout the process.
The final-year capstone project is a comprehensive endeavor that integrates all aspects of the BCA curriculum. Students propose projects aligned with industry needs or personal research interests, often collaborating with companies or research institutions. The project involves extensive planning, execution, documentation, and presentation, culminating in an oral defense before a panel of faculty members and external experts.
Faculty mentors are selected based on their expertise in the relevant domain and availability to guide students through the project lifecycle. Regular meetings, progress reviews, and milestone assessments ensure that projects stay on track and meet quality standards. This approach fosters innovation, leadership, and collaboration among students while providing them with tangible outcomes that enhance their portfolios and job prospects.