*Semester 1: Foundation Basics* 

1. *Mathematics-I* (Calculus, Discrete Mathematics) 

2. *Programming Fundamentals* (Python/C, Problem Solving) 

3. *Digital Logic Design* (Boolean Algebra, Combinational Circuits) 

4. *Introduction to Software Engineering* (SDLC, Agile, Waterfall) 

5. *Communication Skills* 

6. *Environmental Science* 

*Lab*: Python/C Programming Lab, Logic Design (Logisim) 

 

*Semester 2: Core Programming & Systems* 

1. *Mathematics-II* (Probability, Linear Algebra) 

2. *Data Structures & Algorithms* (Arrays, Linked Lists, Sorting) 

3. *Object-Oriented Programming* (Java/C++) 

4. *Computer Organization* (CPU Architecture, Memory Hierarchy) 

5. *Web Technologies Basics* (HTML, CSS, JavaScript) 

*Lab*: Java/C++ Projects, Web Development Lab 

 

*Semester 3: Software Development Fundamentals* 

1. *Database Management Systems* (SQL, NoSQL, Normalization) 

2. *Operating Systems* (Process Scheduling, File Systems) 

3. *Software Requirements Engineering* (SRS, Use Cases) 

4. *Algorithms Analysis & Design* (Dynamic Programming, Greedy Algorithms) 

5. *Human-Computer Interaction* (UI/UX Principles) 

*Lab*: SQL/NoSQL Database Lab, UI Prototyping (Figma) 

 

*Semester 4: Advanced Programming & Design* 

1. *Software Design & Architecture* (Design Patterns, MVC, Microservices) 

2. *Computer Networks* (TCP/IP, HTTP, Socket Programming) 

3. *Full-Stack Development* (React, Node.js, REST APIs) 

4. *Software Testing & QA* (Unit Testing, Selenium, JUnit) 

5. *Open-Source Contributions* (Git, GitHub Workflows) 

*Lab*: Full-Stack Project, Automated Testing Lab 

 

*Semester 5: DevOps & Cloud Engineering* 

1. *Cloud Computing* (AWS/Azure Basics, Serverless Architecture) 

2. *DevOps Practices* (CI/CD, Jenkins, Docker, Kubernetes) 

3. *Software Project Management* (Agile, Scrum, Jira) 

4. *Cyber Security Fundamentals* (Encryption, OWASP Top 10) 

5. *Elective-I* (e.g., Mobile App Development) 

*Lab*: DevOps Pipeline Deployment, Cloud App Development 

 

*Semester 6: AI/ML & Scalable Systems* 

1. *Machine Learning Basics* (Regression, Classification, Scikit-learn) 

2. *Distributed Systems* (Scalability, CAP Theorem, REST/gRPC) 

3. *Big Data Technologies* (Hadoop, Spark, Kafka) 

4. *Software Security & Ethics* (GDPR, Secure Coding) 

5. *Elective-II* (e.g., Blockchain Development) 

*Lab*: ML Model Integration, Distributed System Simulation 

 

*Semester 7: Specialization & Capstone Projects* 

1. *Advanced Software Engineering* (Refactoring, Legacy Systems) 

2. *AI-Driven Development* (GitHub Copilot, Code Generation) 

3. *Elective-III* (e.g., Game Development with Unity) 

4. *Elective-IV* (e.g., Quantum Computing Basics) 

5. *Capstone Project-I* (Industry-Scale Software Product, e.g., SaaS Platform) 

*Lab*: AI Code Assistants, Game Engine Development 

 

*Semester 8: Industry Integration* 

1. *Industrial Internship* (6–8 Weeks at Tech Firms) 

2. *Capstone Project-II* (Open-Source Contribution/Startup Idea) 

3. *Professional Ethics* 

4. *Elective-V* (e.g., AR/VR Development) 

 

*Electives (Sample)* 

- *Cloud-Native Development* (AWS Lambda, Serverless) 

- *Low-Code/No-Code Platforms* 

- *Embedded Systems Programming* 

- *AI Ethics in Software* 

- *Enterprise Software (ERP, CRM)* 

 

*Key Tools & Certifications* 

- *Languages*: Python, Java, JavaScript, C++, SQL. 

- *Frameworks*: React, Angular, Spring Boot, .NET. 

- *Cloud/DevOps*: AWS, Azure, Docker, Kubernetes, Terraform. 

- *Certifications*: AWS Certified Developer, Scrum Master (CSM), Google Cloud Associate. 

- *Workshops*: Hackathons, Git/GitHub Collaboration, Agile Sprint Simulations.