Comprehensive Course Structure
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| 1 | MCA101 | Programming in C | 3-0-0-3 | None |
| 1 | MCA102 | Data Structures and Algorithms | 3-0-0-3 | MCA101 |
| 1 | MCA103 | Database Management Systems | 3-0-0-3 | MCA101 |
| 1 | MCA104 | Mathematics for Computer Applications | 3-0-0-3 | None |
| 1 | MCA105 | Computer Organization and Architecture | 3-0-0-3 | MCA101 |
| 1 | MCA106 | Lab: Programming in C | 0-0-3-1 | MCA101 |
| 1 | MCA107 | Lab: Data Structures and Algorithms | 0-0-3-1 | MCA102 |
| 2 | MCA201 | Object Oriented Programming in Java | 3-0-0-3 | MCA101 |
| 2 | MCA202 | Operating Systems | 3-0-0-3 | MCA105 |
| 2 | MCA203 | Computer Networks | 3-0-0-3 | MCA105 |
| 2 | MCA204 | Software Engineering | 3-0-0-3 | MCA201 |
| 2 | MCA205 | Web Technologies | 3-0-0-3 | MCA201 |
| 2 | MCA206 | Lab: Object Oriented Programming in Java | 0-0-3-1 | MCA201 |
| 2 | MCA207 | Lab: Web Technologies | 0-0-3-1 | MCA205 |
| 3 | MCA301 | Artificial Intelligence | 3-0-0-3 | MCA201 |
| 3 | MCA302 | Cybersecurity | 3-0-0-3 | MCA203 |
| 3 | MCA303 | Data Analytics | 3-0-0-3 | MCA104 |
| 3 | MCA304 | Cloud Computing | 3-0-0-3 | MCA203 |
| 3 | MCA305 | Mobile Application Development | 3-0-0-3 | MCA201 |
| 3 | MCA306 | Lab: Artificial Intelligence | 0-0-3-1 | MCA301 |
| 3 | MCA307 | Lab: Cybersecurity | 0-0-3-1 | MCA302 |
| 4 | MCA401 | Advanced Software Engineering | 3-0-0-3 | MCA204 |
| 4 | MCA402 | Human-Computer Interaction | 3-0-0-3 | MCA205 |
| 4 | MCA403 | Research Methodology | 3-0-0-3 | MCA104 |
| 4 | MCA404 | Project Management | 3-0-0-3 | MCA204 |
| 4 | MCA405 | Internship | 0-0-0-6 | None |
| 4 | MCA406 | Capstone Project | 0-0-0-12 | MCA301 |
Advanced Departmental Elective Courses
Artificial Intelligence: This course provides a comprehensive overview of artificial intelligence concepts and techniques. Students will learn about machine learning algorithms, neural networks, natural language processing, and computer vision. The course emphasizes practical implementation and includes hands-on projects using industry-standard tools and frameworks.
Cybersecurity: This course covers the fundamentals of cybersecurity and ethical hacking. Students will learn about network security, cryptography, penetration testing, and risk management. The course includes practical labs and simulations to provide hands-on experience in identifying and mitigating security threats.
Data Analytics: This course focuses on the analysis and interpretation of data to drive business decisions. Students will learn to use advanced tools and techniques for data visualization, statistical analysis, and predictive modeling. The course includes real-world projects and case studies to enhance practical skills.
Cloud Computing: This course covers the principles and practices of cloud computing. Students will learn about cloud architecture, virtualization, containerization, and DevOps practices. The course includes hands-on labs and projects using popular cloud platforms such as AWS, Azure, and Google Cloud.
Mobile Application Development: This course focuses on the development of mobile applications for iOS and Android platforms. Students will learn to design and develop applications using modern frameworks and tools. The course includes practical projects and real-world development challenges.
Software Engineering: This course covers the principles and practices of software engineering. Students will learn about software development life cycles, testing methodologies, and project management. The course includes hands-on projects and case studies to enhance practical skills.
Web Development: This course focuses on web development and full-stack engineering. Students will learn to build dynamic and responsive web applications using modern technologies and frameworks. The course includes practical projects and real-world development challenges.
Human-Computer Interaction: This course focuses on the design and evaluation of user interfaces and user experiences. Students will learn to design intuitive and user-friendly interfaces and conduct usability testing. The course includes practical projects and case studies to enhance practical skills.
Research Methodology: This course provides an introduction to research methodology and scientific inquiry. Students will learn about research design, data collection, and analysis techniques. The course includes practical projects and case studies to enhance research skills.
Project Management: This course covers the principles and practices of project management. Students will learn about project planning, execution, and monitoring. The course includes hands-on projects and case studies to enhance practical skills.
Project-Based Learning Philosophy
The department's philosophy on project-based learning is rooted in the belief that students learn best when they are actively engaged in solving real-world problems. The program emphasizes hands-on experience and practical application of theoretical concepts. Students are encouraged to work on projects that are relevant to current industry trends and challenges.
Mini-Projects
Mini-projects are undertaken in the second and third semesters to provide students with early exposure to practical problem-solving. These projects are typically small-scale and focus on specific aspects of a broader topic. Students work in teams to develop solutions, with guidance from faculty members. The projects are evaluated based on technical implementation, creativity, and presentation skills.
Final-Year Thesis/Capstone Project
The final-year capstone project is a comprehensive endeavor that integrates all the knowledge and skills acquired throughout the program. Students work on a significant project under the guidance of a faculty mentor. The project is typically conducted in collaboration with industry partners and involves real-world problem-solving. Students are required to present their work and defend their findings in a formal presentation.
Project Selection and Mentorship
Students are encouraged to select projects that align with their interests and career aspirations. The department provides a list of project ideas and opportunities, and students can also propose their own projects. Faculty members are assigned as mentors based on their expertise and availability. The mentorship process ensures that students receive guidance and support throughout their project journey.