Prof. Neha Sharma

Professor, CSE & IT

πŸ“ Bengaluru, Karnataka


Experience

15+ years of teaching Data Structures, Artificial Intelligence, Cloud Computing, and Software Engineering, with industry projects in IT consulting and product development.

Qualifications

Ph.D. in Computer Science, M.Tech in Information Technology, B.Tech in Computer Science & Engineering

Contact

neha.sharma@email.com

+91-98XXX56789

πŸ’» B.Tech in Computer Science & Information Technology

CSE & IT combines the theoretical foundations of computing with practical skills in software development, data management, and emerging technologies. It prepares graduates to innovate in IT-driven industries.

πŸ“Œ Summary

The program covers programming languages, algorithms, operating systems, computer networks, databases, AI, cybersecurity, IoT, and cloud computing. Students learn to build scalable, secure, and intelligent systems.

πŸ› οΈ Skills Taught
  • Programming in C, C++, Java, Python, JavaScript
  • Data structures & algorithm optimization
  • Database design & management (SQL, NoSQL)
  • Web & mobile app development
  • Cloud computing & DevOps
  • Machine learning & AI
  • Cybersecurity & ethical hacking
πŸ“š Teaching Methodologies
  • Project-based learning & real-world case studies
  • Hackathons & coding competitions
  • Hands-on labs in networking, AI, cloud platforms
  • Internships with software companies
  • Workshops on Blockchain, IoT & emerging tech
  • Guest lectures from IT industry professionals
πŸ“ Assessment Techniques
  • Code implementation & debugging tests
  • Capstone projects & product demos
  • Technical documentation & presentations
  • Mid-term & final exams
  • Viva on system architecture & design
🌐 Real-World Applications

Graduates work in software engineering, AI research, cloud architecture, data analytics, mobile app development, IT consulting, cybersecurity, and more across global tech industries.

πŸ”— Interdisciplinary Value

CSE & IT integrates with electronics for IoT systems, business analytics for intelligent decisions, and mechanical engineering for Industry 4.0 automation.

🎯 Learning Outcomes

By the end of the program, students will be able to:

  • Develop scalable & secure software systems
  • Apply AI & data science for innovative solutions
  • Design & deploy cloud-native applications
  • Create user-friendly digital platforms
  • Adapt to rapidly evolving technologies
Verified
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