B.Tech Computer Science and Engineering
Course Overview
The B.Tech - Computer Science and Engineering specialization is a 4-year undergraduate course ideal for students eager to leverage technology to solve challenging problems and innovate for the future. It provides a comprehensive understanding of computer programming, algorithms, data structures, and software engineering. The curriculum emphasizes cutting-edge technologies like cloud computing, blockchain, and artificial intelligence to meet industry demands. Hands-on learning through projects, hackathons, and internships helps students apply theoretical knowledge to real-world scenarios. Graduates are equipped to design systems, develop secure software solutions, and drive technological advancements.
Course Objectives
- To equip students with advanced programming and problem-solving skills.
- To introduce emerging technologies like blockchain, IoT, and cloud computing.
- To foster analytical thinking and system design capabilities.
- To enable practical application of theoretical knowledge through internships and projects.
Learning Outcomes
- Ability to design, develop, and maintain software systems.
- Proficiency in modern programming languages and frameworks.
- Expertise in leveraging emerging technologies for innovative solutions.
- Strong teamwork, communication, and project management skills.
Curriculum
Semester 1
Practical
- Physics Lab
- Chemistry Lab
- Programming Lab (Python/C)
- Workshop Practices
- Electrical and Electronics Engineering
Theory
- Communication Skills I
- Mathematics I (Calculus and Linear Algebra)
- Physics for Computer Science
- Environmental Science
- Fundamentals of Computer Engineering
- Introduction to Programming (Python/C)
Semester 2
Practical
- Data Structures Lab
- Object-Oriented Programming Lab
- Communication Skills Lab
Theory
- Communication Skills II
- Mathematics II (Probability and Statistics)
- Data Structures and Algorithms
- Object-Oriented Programming (OOP) using Java
- Computer Organization and Architecture
- Engineering Graphics
Semester 3
Practical
- Digital Logic Design Lab
- Algorithms Lab
- Operating Systems Lab
Theory
- Discrete Mathematics
- Digital Logic and Computer Organization
- Programming Paradigms
- Design and Analysis of Algorithms
- Operating Systems
- Economics for Engineers
Semester 4
Practical
- Database Management Lab
- Computer Networks Lab
- Software Engineering Lab
Theory
- Mathematics III (Graph Theory and Numerical Methods)
- Database Management Systems (DBMS)
- Computer Networks
- Software Engineering
- Signals and Systems
- Professional Ethics and Human Values
Semester 5
Practical
- Artificial Intelligence Lab
- Web Technologies Lab
- Cybersecurity Lab
Theory
- Operation Research
- Artificial Intelligence (AI)
- Web Technologies
- Cybersecurity
- Compiler Design
- Professional Elective I (e.g., Cloud Computing, Internet of Things)
Semester 6
Practical
- Machine Learning Lab
- Mobile App Development Lab
- Big Data Lab
Theory
- Machine Learning (ML)
- Mobile Application Development
- Big Data Analytics
- Professional Elective II (e.g., Blockchain Technology, Natural Language Processing)
- Open Elective (e.g., Ethics in AI, Environmental Studies)
Semester 7
Practical
- Project Phase I
- Deep Learning Lab
Theory
- Deep Learning
- Professional Elective III (e.g., Robotics, Advanced Algorithms)
- Professional Elective IV (e.g., Advanced Cryptography, Quantum Computing)
- Open Elective II (e.g., Entrepreneurship Development)
- Professional Elective V (e.g., Game Development, Edge Computing)
Semester 8
Project
- Project Phase II
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