Registration End Date : 9 July 2024
Rayat Bahra Institute of Engineering & Nano-Technology, affiliated with IKG Punjab Technical University and approved by AICTE offers a specialized B.Tech in Computer Science Engineering with a focus on Artificial Intelligence and Machine Learning. This program provides advanced training in AI and ML technologies, equipping students with the skills to drive innovation and excel in cutting-edge tech fields.
| Semester | Batch Name | Category | Intake | Total Sem Fee |
|---|---|---|---|---|
| Per Semester | 2024-2028 | General | 60 | 60000 |
Eligibility: 10+2 Non-Medical
3 years Diploma, Pass in qualifying exam as per Uni. guidelines, BSc Non Med. from UGC Recognised University with 45% Marks for Gen & 40 % for Reserve Category.
Duration: 4 years
Affiliated to: IKG Punjab Technical University, Kapurthala
Approved by : AICTE
The Artificial Intelligence (AI) program focuses on developing intelligent systems that replicate human cognitive functions, utilizing techniques such as machine learning, natural language processing, and robotics. Students engage in hands-on projects and theoretical studies to understand how AI technologies can be implemented across various industries. Career opportunities in this field are rapidly expanding, with roles like AI engineers and data scientists in high demand. Sectors such as healthcare, finance, automotive, and robotics are increasingly leveraging AI to improve efficiency and innovation, making this a promising area for aspiring professionals.
In the 1st semester, students will voyage on a foundational journey through essential disciplines. The curriculum includes Engineering Physics and Engineering Mathematics, which provide critical analytical skills and a solid understanding of physical principles. Complementing these are hands-on experiences in the Engineering Physics Lab and Basic Electrical Engineering Lab, fostering practical application of theoretical concepts. Additionally, students will engage in Engineering Graphics and Design, enhancing their visualisation and design skills. This semester is designed to establish a robust groundwork for future engineering studies, preparing students for the challenges ahead.
In the 2nd semester, students will build on their foundational knowledge with a diverse curriculum. The Basic Science component includes Chemistry 1 and its accompanying lab, fostering a strong understanding of chemical principles relevant to engineering. Engineering Mathematics 1 will enhance analytical skills essential for problem-solving. Students will also explore Programming for Problem-Solving, complemented by a practical lab, to develop computational skills critical for modern engineering challenges. Additionally, the Workshop/Manufacturing Practices course will provide hands-on experience in fabrication techniques. Humanities courses, including English and its lab, will enhance communication skills, preparing students for professional environments.
In the 3rd semester, students will build a strong foundation in essential computing concepts. Core courses include Data Structures & Algorithms and Object-Oriented Programming, complemented by hands-on lab sessions to enhance practical skills. The Engineering Science course, Digital Electronics, along with its lab, will provide insights into electronic systems crucial for AI applications. Students will also engage with Mathematics III (Probability and Statistics) to develop analytical skills vital for data-driven decision-making. Additionally, a Foundation Course in Humanities (Development of Societies/Philosophy) and an IT Workshop will enrich their understanding of societal impacts and technical proficiencies, preparing them for future challenges in AIML.
In the 5th semester, students will deepen their understanding of foundational concepts critical to computing and AI. Core courses include Discrete Mathematics, Operating Systems, and Design & Analysis of Algorithms, each paired with practical lab sessions to reinforce theoretical knowledge. The Engineering Science course, Computer Organization & Architecture, and its lab will provide insights into hardware-software interactions essential for efficient algorithm implementation. A mandatory Environmental Sciences course will foster awareness of ecological impacts, while the Universal Human Values 2 course will encourage ethical considerations in technology, preparing students for responsible innovation in AIML.
In the 5th semester, students will deepen their understanding of foundational concepts critical to computing and AI. Core courses include Discrete Mathematics, Operating Systems, and Design & Analysis of Algorithms, each paired with practical lab sessions to reinforce theoretical knowledge. The Engineering Science course, Computer Organization & Architecture, and its lab will provide insights into hardware-software interactions essential for efficient algorithm implementation. A mandatory Environmental Sciences course will foster awareness of ecological impacts, while the Universal Human Values 2 course will encourage ethical considerations in technology, preparing students for responsible innovation in AIML.
In the 6th semester, students will explore advanced topics in networking and machine learning. Core courses include Computer Networks and Machine Learning, each supported by dedicated lab sessions to enhance practical skills in data transmission and algorithm implementation. Students will select two Professional Elective courses and their corresponding labs, allowing for specialised study in emerging areas of interest. A comprehensive project will enable students to apply their knowledge to real-world challenges, while an Open Elective course will broaden their academic horizons, fostering a well-rounded educational experience in AIML.
In the 7th/8th semester, students will engage with advanced topics that are pivotal for modern computing. Core courses include Compiler Design and Computer Vision, providing insights into language processing and visual data interpretation. Students will select two Professional Elective courses and their corresponding labs, allowing for specialisation in cutting-edge technologies. A comprehensive project will enable students to apply their knowledge to real-world challenges, fostering innovation and problem-solving skills. Additionally, an Open Elective course will broaden their academic perspective, ensuring a well-rounded education in AIML and preparing them for diverse career opportunities.
Servers
The College has its own mail server and mail accounts are given to all the students and faculty. Three high-end dual processor-based IBM servers with redundant power supply are totally dedicated to these services.
Campus Wide Networking
To provide access to the central computing facilities and Internet access throughout the campus, an optical fiber-based 100 Mbps backbone campus wide area network has been implemented in the college. This network connects all the departments, hostels and faculty residences. The latest managed layer-3 and layer-2 switches and optical fiber physical medium has been used to implement this project which currently serves some 300+ nodes in the college. The process of establishing wireless hotspots to make the campus Wi-Fi enabled is underway.
Computing Hardware
Department has around 300+ branded HP, Wipro and IBM desktop computers having the latest configurations to satisfy the computing requirements for various laboratories and project work of students. High-end workstations and servers have been made available for special applications like simulations and central computing in the department.
Software
Almost all the major software required by students and researchers has been made available in the department. This includes all the major server and desktop operating systems, databases, application software, Matlab, CASE tools like Rational Rose and software development platforms.
Data Structure & Programming Methodology Lab
The lab provides the students with a fairly good concept of the fundamentals of data structures and also of the commonly occurring algorithms. It presents the general approach towards analyzing and evaluating and implementing the database algorithms.
Relational Database Management System Lab
This lab provides exposure to use databases and build an RDBMS. For this, they are provided with the server based ORACLE software. To make them learn more effectively, students are given projects for implementation.
Computer Network Laboratory
The Computer Network Laboratory provides students with comprehensive training in various networking technologies, offering substantial exposure to both the design and implementation of networks. The lab features an extensive campus-wide network testbed that allows students to engage in real-time experiments. Through hands-on experience, students learn to design, implement, secure, analyze, and manage networks effectively.
System Programming Laboratory
The System Programming Laboratory focuses on the design and functionality of interpreters and compilers. The primary objective is to deepen students' understanding of the processes involved in parsing and analyzing source code. By working in this lab, students gain practical insights into the complexities of system programming and the mechanisms underlying code interpretation and compilation.
Operating System Lab
This lab allows the students to study and appreciate various features of popular operating system i.e. LINUX along with the features of the core and its kernel.
Software Engineering Lab
The students are acquainted with the repertoire of principles, tools, and techniques (like Rational Rose) and the approach being used in industry for software development.
Data Communication Lab
This lab provides students with in-depth knowledge of data communication technologies. The Lab is equipped with the latest data communication trainers, LAN trainers, simulators and test & measurement equipment.
Fundamentals of Computer Programming And Information Technology Lab
This lab provides the much-needed exposure to the basic programming language and information technology to help students to effectively exploit the potential of computers in the course of studies and their preparedness for professional life.
Computer Graphics Lab
This lab further hones the programming skills of the student by inculcating the knowledge of using graphics like Rendering, animation, and modeling for interactive computer graphics.
Internet of Things Lab
Class Rooms: A projector uses light to project an enlarged image on a screen allowing the view of a small document or picture to be shared with a large student.
Message from the Head of Computer Science Engineering Department
Welcome to the Department of Computer Science and Information Technology Engineering at Rayat Bahra Institute of Engineering and Nano Technology!
We are dedicated to fostering a dynamic learning environment that enhances creativity, critical thinking, and problem-solving skills. Our goal is to provide students with the expertise needed to thrive in the evolving fields of computer science and IT.
Our curriculum integrates theoretical knowledge with practical applications, preparing students for industry demands. With experienced faculty and state-of-the-art labs, including facilities for AI, machine learning, data science, cybersecurity, and IoT, students gain hands-on experience through projects, internships, hackathons, and workshops.
We take pride in our successful alumni and aim to continue this tradition by equipping the next generation of engineers and technologists to shape the future. Explore the opportunities in our department and join us in achieving excellence.
Best regards,
Er. Simarpreet Singh
Copyright © 2024 RAYAT BAHRA GROUP OF INSTITUTES, HOSHIARPUR
