Comprehensive Course Listing Across 8 Semesters
| Semester | Course Code | Course Title | Credit Structure (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| I | CS101 | Introduction to Computer Science | 3-0-0-3 | - |
| I | CS102 | Programming in C | 3-0-0-3 | - |
| I | MATH101 | Calculus I | 4-0-0-4 | - |
| I | MATH102 | Linear Algebra | 3-0-0-3 | - |
| I | PHY101 | Physics for Computer Science | 3-0-0-3 | - |
| I | BIO101 | Biology for Computing | 2-0-0-2 | - |
| I | LAB101 | C Programming Lab | 0-0-3-1 | - |
| II | CS201 | Data Structures and Algorithms | 4-0-0-4 | CS102 |
| II | CS202 | Object-Oriented Programming | 3-0-0-3 | CS102 |
| II | MATH201 | Calculus II | 4-0-0-4 | MATH101 |
| II | STAT201 | Probability and Statistics | 3-0-0-3 | - |
| II | PHY201 | Modern Physics | 3-0-0-3 | PHY101 |
| II | CS203 | Computer Organization | 3-0-0-3 | - |
| II | LAB201 | Data Structures Lab | 0-0-3-1 | CS201 |
| III | CS301 | Database Management Systems | 3-0-0-3 | CS201 |
| III | CS302 | Operating Systems | 3-0-0-3 | CS201 |
| III | CS303 | Web Technologies | 3-0-0-3 | CS202 |
| III | CS304 | Software Engineering | 3-0-0-3 | CS201 |
| III | MATH301 | Differential Equations | 3-0-0-3 | MATH201 |
| III | CS305 | Networks and Security | 3-0-0-3 | CS201 |
| III | LAB301 | Database Lab | 0-0-3-1 | CS301 |
| IV | CS401 | Advanced Web Development | 3-0-0-3 | CS303 |
| IV | CS402 | Mobile Application Development | 3-0-0-3 | CS303 |
| IV | CS403 | Cloud Computing | 3-0-0-3 | CS301 |
| IV | CS404 | Machine Learning | 3-0-0-3 | MATH201 |
| IV | CS405 | Big Data Analytics | 3-0-0-3 | CS301 |
| IV | CS406 | Project Management | 2-0-0-2 | - |
| IV | LAB401 | Web Development Lab | 0-0-3-1 | CS401 |
| V | CS501 | Advanced Database Systems | 3-0-0-3 | CS301 |
| V | CS502 | Distributed Systems | 3-0-0-3 | CS302 |
| V | CS503 | Web Security and Penetration Testing | 3-0-0-3 | CS305 |
| V | CS504 | Human-Computer Interaction | 2-0-0-2 | - |
| V | CS505 | Research Methodology | 2-0-0-2 | - |
| V | CS506 | Capstone Project I | 0-0-6-3 | - |
| VI | CS601 | Artificial Intelligence in Web Applications | 3-0-0-3 | CS404 |
| VI | CS602 | Blockchain and Smart Contracts | 3-0-0-3 | CS303 |
| VI | CS603 | Internet of Things (IoT) Integration | 3-0-0-3 | CS402 |
| VI | CS604 | DevOps and CI/CD Pipelines | 3-0-0-3 | CS401 |
| VI | CS605 | Enterprise Architecture | 3-0-0-3 | CS502 |
| VI | CS606 | Capstone Project II | 0-0-6-3 | - |
| VII | CS701 | Internship | 0-0-0-3 | - |
| VIII | CS801 | Thesis Research | 0-0-0-6 | - |
Advanced Departmental Electives
The advanced departmental electives in the Web Development program are designed to provide specialized knowledge and practical skills in emerging areas of technology. These courses allow students to explore cutting-edge topics and apply theoretical concepts to real-world scenarios.
1. Advanced Web Technologies (CS601)
This course delves into the latest trends and advancements in web technologies, including progressive web apps (PWAs), serverless architectures, GraphQL APIs, microservices, and edge computing. Students will learn how to build scalable, high-performance web applications using modern frameworks and tools such as Next.js, Gatsby, and WebAssembly.
2. Cybersecurity for Web Platforms (CS602)
This course focuses on the security challenges inherent in web development environments. It covers topics such as secure coding practices, vulnerability assessment, penetration testing, encryption techniques, authentication mechanisms, and compliance with international standards like ISO 27001 and NIST SP 800-53.
3. Mobile Web Integration (CS603)
This elective explores the intersection of mobile development and web technologies. Students will learn how to develop responsive websites that seamlessly integrate with mobile applications, focusing on cross-platform compatibility, progressive enhancement, and mobile-first design principles using frameworks like React Native and Flutter.
4. Machine Learning in Web Applications (CS604)
This course introduces students to integrating machine learning models into web applications. Topics include neural networks, deep learning architectures, natural language processing (NLP), computer vision, model deployment on web platforms, and API integration with ML services like TensorFlow.js and Azure Cognitive Services.
5. Blockchain & Smart Contracts (CS605)
This course provides an in-depth exploration of blockchain technology and smart contract development. Students will learn about consensus algorithms, Ethereum platform, Solidity programming language, tokenomics, decentralized applications (dApps), and practical use cases in web development such as digital identity verification and supply chain tracking.
6. Internet of Things (IoT) & Web Integration (CS606)
This elective bridges the gap between IoT devices and web platforms. Students will explore sensor data collection, real-time communication protocols, cloud integration, and visualization techniques for IoT-based web applications. The course includes hands-on labs using platforms like Arduino, Raspberry Pi, and AWS IoT Core.
7. DevOps & CI/CD Pipelines (CS607)
This course teaches students how to automate software delivery processes using DevOps methodologies. It covers continuous integration, continuous deployment, containerization with Docker, orchestration with Kubernetes, infrastructure as code (IaC), and monitoring tools like Prometheus and Grafana.
8. Enterprise Web Architecture & Scalability (CS608)
This course focuses on designing and implementing large-scale web systems. Students will study system design principles, load balancing, caching strategies, database scaling techniques, microservices architecture, and performance optimization methods using technologies like Redis, Apache Kafka, and Elasticsearch.
9. Advanced UX/UI Design for Web Applications (CS609)
This elective combines design theory with practical application in web development. Students will learn advanced prototyping techniques, user research methodologies, accessibility standards, interaction design patterns, and design systems. The course emphasizes creating inclusive, intuitive, and engaging web experiences.
10. Digital Marketing Analytics & SEO (CS610)
This course bridges the gap between web development and digital marketing. Students will learn how to optimize websites for search engines, analyze user behavior through tools like Google Analytics, implement conversion rate optimization strategies, and integrate marketing automation platforms with web applications.
Project-Based Learning Approach
The program emphasizes project-based learning as a core component of the curriculum, ensuring that students develop practical skills through real-world problem-solving experiences. The approach is structured to progressively increase in complexity and scope throughout the four-year program.
Mini Projects (Year 1-2)
Mini projects are introduced in the early semesters to help students apply theoretical concepts learned in class to practical tasks. These projects typically involve building simple web applications, implementing basic algorithms, or solving small-scale problems related to database management or network programming.
Capstone Projects (Year 3-4)
The capstone project phase begins in the third year and culminates in the final year. Students are expected to work on comprehensive projects that address complex challenges in web development. These projects involve collaboration with industry partners, research into emerging technologies, and presentation of solutions to a panel of faculty members and external experts.
Project Selection Process
Students select their capstone project topics based on their interests, faculty availability, and alignment with current industry trends. The selection process involves proposal submissions, mentor assignments, and regular progress reviews. Faculty mentors guide students through the entire development lifecycle, from ideation to implementation and final presentation.
Evaluation Criteria
Projects are evaluated based on multiple criteria including technical execution, innovation, usability, documentation quality, and presentation skills. A rubric-based assessment system ensures consistent evaluation across all projects, with feedback provided at various stages of development.