Comprehensive Course Listing
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Pre-requisites |
|---|---|---|---|---|
| 1 | CS101 | Programming Fundamentals | 3-0-0-3 | - |
| 1 | CS102 | Data Structures and Algorithms | 3-0-0-3 | CS101 |
| 1 | MATH101 | Mathematics for Computing | 3-0-0-3 | - |
| 1 | CS103 | Introduction to Computer Science | 3-0-0-3 | - |
| 2 | CS201 | Database Management Systems | 3-0-0-3 | CS102 |
| 2 | CS202 | Computer Organization and Architecture | 3-0-0-3 | CS103 |
| 2 | OS201 | Operating Systems | 3-0-0-3 | CS102 |
| 2 | CS203 | Web Technologies I (HTML/CSS) | 3-0-0-3 | CS101 |
| 3 | CS301 | Object-Oriented Programming using Java | 3-0-0-3 | CS203 |
| 3 | CS302 | Software Engineering | 3-0-0-3 | CS201 |
| 3 | CS303 | Web Technologies II (JavaScript, Node.js) | 3-0-0-3 | CS301 |
| 3 | CS304 | Database Systems | 3-0-0-3 | CS201 |
| 4 | CS401 | Software Testing | 3-0-0-3 | CS302 |
| 4 | CS402 | Cloud Computing | 3-0-0-3 | CS201 |
| 4 | CS403 | Web Security | 3-0-0-3 | CS303 |
| 4 | CS404 | Advanced Web Development | 3-0-0-3 | CS303 |
| 5 | CS501 | Mobile App Development | 3-0-0-3 | CS403 |
| 5 | CS502 | Machine Learning for Web Applications | 3-0-0-3 | CS304 |
| 5 | CS503 | UI/UX Design | 3-0-0-3 | CS301 |
| 5 | CS504 | Advanced Database Management | 3-0-0-3 | CS304 |
| 6 | CS601 | Microservices Architecture | 3-0-0-3 | CS504 |
| 6 | CS602 | API Design and Integration | 3-0-0-3 | CS501 |
| 6 | CS603 | DevOps Practices | 3-0-0-3 | CS402 |
| 6 | CS604 | E-Commerce Platform Development | 3-0-0-3 | CS501 |
| 7 | CS701 | Capstone Project I | 3-0-0-3 | - |
| 7 | CS702 | Research Methodology | 3-0-0-3 | CS604 |
| 7 | CS703 | Professional Skills Workshop | 3-0-0-3 | - |
| 7 | CS704 | Entrepreneurship and Innovation | 3-0-0-3 | - |
| 8 | CS801 | Capstone Project II | 6-0-0-6 | CS701 |
| 8 | CS802 | Internship Training | 3-0-0-3 | - |
| 8 | CS803 | Final Project Presentation | 3-0-0-3 | CS801 |
| 8 | CS804 | Career Preparation and Interview Skills | 3-0-0-3 | - |
Detailed Course Descriptions
The following departmental elective courses provide advanced knowledge in specialized areas of web development:
Advanced Web Technologies
This course explores emerging technologies in web development, including progressive web apps (PWAs), serverless architectures, and microservices. Students learn to build scalable applications using modern frameworks like React, Angular, Vue.js, and Node.js. The course includes practical projects involving cloud deployment and performance optimization.
Mobile Web Development
This course covers the development of mobile-optimized web applications using responsive design principles and hybrid frameworks. Students learn to create PWAs that function seamlessly across devices and platforms. Topics include device APIs, offline capabilities, and push notifications.
Web Security and Ethical Hacking
This course delves into cybersecurity aspects specific to web applications. Students study common vulnerabilities such as SQL injection, cross-site scripting (XSS), and session hijacking. The course includes hands-on labs where students practice penetration testing and secure coding techniques.
Cloud Computing for Web Applications
This course provides a comprehensive understanding of cloud platforms and their integration with web applications. Students learn to deploy applications on AWS, Azure, and GCP, manage containers using Docker, and implement infrastructure as code. The course emphasizes scalability, reliability, and cost optimization.
UI/UX Design for Web Applications
This course focuses on creating user-centered designs that enhance usability and engagement. Students learn design principles, prototyping tools (Figma, Adobe XD), and user research methodologies. The course includes real-world projects where students design interfaces for various web platforms.
Machine Learning for Web Applications
This course explores the application of machine learning in web development. Students study how to integrate ML models into web applications, build recommendation engines, and implement natural language processing features. The course includes practical labs using TensorFlow.js and scikit-learn.
DevOps Practices in Web Development
This course introduces DevOps principles and practices tailored for web development environments. Students learn CI/CD pipelines, containerization with Docker, orchestration with Kubernetes, and monitoring tools. The course emphasizes automation, collaboration, and deployment best practices.
E-Commerce Platform Development
This course focuses on building secure and scalable e-commerce platforms. Students learn about payment gateways, inventory management systems, SEO optimization, and analytics integration. The course includes projects involving real-world e-commerce scenarios and business models.
Advanced Database Management
This course covers advanced database concepts including NoSQL databases, data warehousing, and big data processing. Students learn to design complex schemas, optimize queries, and manage large datasets using tools like MongoDB, Cassandra, and Hadoop.
Web Performance Optimization
This course teaches techniques for optimizing web application performance and user experience. Students study caching strategies, content delivery networks (CDNs), asset optimization, and browser rendering processes. The course includes practical labs involving performance testing and debugging tools.
Blockchain Applications in Web Development
This course explores the integration of blockchain technology with web applications. Students learn about smart contracts, decentralized applications (dApps), and cryptographic protocols. The course includes projects involving Ethereum-based platforms and tokenomics.
Internet of Things (IoT) and Web Integration
This course examines how IoT devices interact with web applications. Students study sensor data collection, real-time communication protocols, and cloud integration for IoT platforms. The course includes hands-on labs using Raspberry Pi, Arduino, and Node-RED.
Advanced JavaScript Frameworks
This course provides in-depth knowledge of modern JavaScript frameworks including React, Angular, Vue.js, and Svelte. Students learn component architecture, state management, routing, and testing practices. The course includes large-scale project development and performance optimization techniques.
Responsive Web Design
This course covers the principles and practices of responsive design for cross-platform compatibility. Students learn CSS media queries, flexible grids, mobile-first design approaches, and browser testing strategies. The course includes projects involving complex layouts and interactive elements.
Accessibility and Inclusive Design
This course focuses on designing web applications that are accessible to users with disabilities. Students study WCAG guidelines, assistive technologies, keyboard navigation, and screen reader compatibility. The course includes real-world audits and remediation strategies.
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. Projects are designed to mirror industry challenges, encouraging students to apply theoretical knowledge in practical contexts.
The structure of projects begins with problem identification and analysis, followed by solution design and implementation. Students work in teams under the guidance of faculty mentors, ensuring mentorship and feedback throughout the process. Evaluation criteria include innovation, technical execution, documentation quality, and presentation skills.
Mini-projects are assigned during each semester, ranging from simple coding exercises to complex multi-module applications. These projects help students develop foundational skills and build confidence before tackling larger capstone projects. The final-year thesis or capstone project is a significant undertaking that integrates all learned concepts into a comprehensive solution.
Students select their projects based on interests and career goals, with faculty mentors guiding them through the selection process. The mentorship system ensures that students receive personalized attention and support throughout their academic journey.