B.Tech Information Technology
Course Overview
The B.Tech - Information Technology specialization is a 4-year undergraduate course focused on building and managing IT systems that power businesses and organizations worldwide. Students gain an in-depth understanding of database management, networking, cybersecurity, and IT infrastructure. The curriculum integrates theoretical learning with practical exposure through live projects, industry internships, and case studies. With a focus on cloud computing and emerging IT trends, students are prepared to tackle challenges in digital transformation. Graduates are ready for rewarding careers in IT services, system administration, and network management.
Course Objectives
- To provide a thorough understanding of IT systems and infrastructure.
- To develop skills in cybersecurity and data management.
- To train students in designing efficient and secure IT architectures.
- To encourage practical problem-solving through real-world projects.
Learning Outcomes
- Proficiency in managing IT infrastructures and networks.
- In-depth knowledge of cybersecurity and data protection.
- Ability to design and implement efficient IT solutions.
- Readiness to adapt to evolving technological demands in the IT industry.
Curriculum
Semester 1
Practical
- Physics Lab
- Chemistry Lab
- Basic Electrical Engineering Lab
- Programming Lab (Python/C)
Theory
- Communication Skills I
- Mathematics I (Calculus and Linear Algebra)
- Physics for Computer Science and Technology
- Environmental Science
- Information Technology Essentials
- Introduction to Programming (Python/C)
- Engineering Graphics
Semester 2
Practical
- Data Structures Lab
- Object-Oriented Programming Lab
- Workshop Practices
- Electronic Devices and Circuits Lab
Theory
- Communication Skills II
- Mathematics II (Probability and Statistics)
- Data Structures and Algorithms
- Object-Oriented Programming (OOP) in Java
- Applied Physics for Semiconductor Devices
Semester 3
Practical
- Digital Logic Lab
- Database Management Lab
- Operating Systems Lab
Theory
- Discrete Mathematics
- Digital Logic and Computer Organization
- Database Management Systems (DBMS)
- Operating Systems
- Software Engineering
- Machine Learning Fundamentals
Semester 4
Practical
- Computer Networks Lab
- Web Technologies Lab
- Algorithms Lab
Theory
- Mathematics III (Graph Theory and Numerical Methods)
- Computer Networks
- Web Technologies
- Design and Analysis of Algorithms
- Human-Computer Interaction
- Economics for Engineers
Semester 5
Practical
- Artificial Intelligence Lab
- Mobile Application Development Lab
- Cybersecurity Lab
Theory
- Operation Research
- Artificial Intelligence (AI)
- Cybersecurity and Cryptography
- Mobile Application Development
- Professional Elective I
- Open Elective I
Semester 6
Practical
- Machine Learning Lab
- Big Data Lab
- Software Testing Lab
Theory
- Machine Learning
- Big Data Analytics
- Software Testing and Quality Assurance
- Professional Elective II
- Open Elective II
Semester 7
Practical
- Project Phase I
- Deep Learning Lab
Theory
- Deep Learning
- Professional Elective III
- Professional Elective IV
- Open Elective III
- Professional Elective V
Semester 8
Project
- Project Phase II
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