Computer Science & Engineering (AI & ML)

The Artificial Intelligence & Machine Learning (AI & ML) branch of the Department of Computer Science & Engineering at Rajadhani Institute of Engineering was introduced in 2023. This specialized program is designed to provide students with a deep understanding of two of the most transformative and in-demand fields in the world of technology today.

AI and ML are at the forefront of innovation, revolutionizing industries across the globe. From self-driving cars to personalized healthcare, AI and ML are reshaping the way we live and work. Our AI & ML program aims to equip students with the theoretical knowledge, practical skills, and cutting-edge tools required to design, develop, and implement intelligent systems that can learn from data and adapt to changing environments.

The curriculum is carefully crafted to cover core areas such as machine learning algorithms, data analytics, neural networks, natural language processing, computer vision, and deep learning. Students will also engage in hands-on projects, research, and internships, allowing them to apply their learning to solve real-world problems and stay ahead in this rapidly evolving field.

Our state-of-the-art labs, faculty expertise, and collaborations with industry leaders provide students with an immersive learning experience, preparing them to take on the challenges and opportunities in AI and ML. Graduates of the program will be well-equipped to contribute to diverse fields such as healthcare, finance, robotics, autonomous systems, and more.

We are proud to be at the forefront of this technological revolution, shaping the future of Artificial Intelligence and Machine Learning, and empowering the next generation of innovators and problem-solvers.

Vision

Empower students with cutting-edge knowledge and skills in Artificial Intelligence and Machine Learning, 

Mission

• M1 : To impart knowledge in cutting edge Artificial Intelligence technologies in par with industrial standards
• M2 : To collaborate with industry  to uplift innovative research and development in Artificial Intelligence and Machine Learning to serve the needs of society.
• M3 : To Foster critical thinking , teamwork, communication, and innovation in Artificial Intelligence and Machine Learning through collaborative learning

Program Educational Objective

• PEO 1: Demonstrate a strong foundation in core concepts of artificial intelligence and machine learning, enabling them to design, implement, and optimize AI-based solutions across various domains
• PEO2:  Ability to work effectively in multidisciplinary teams, showcasing their technical expertise while collaborating with professionals from other fields for developing innovative AI projects
• PEO3 : Understand the ethical implications and societal impact of AI technologies, demonstrating a commitment to responsible practices and advocating for fairness, accountability, and transparency in AI applications.

Network Programming Lab 

Configuration : Intel Dual Core Processor with 2GB RAM, 500GB HDD

Nos : 60

This lab is designed to facilitate hands-on learning and practical implementation of core concepts in Database Management Systems (DBMS) and Network Programming. Equipped with advanced computing resources and the latest software tools, it enables students to design, develop, and manage databases efficiently while also exploring the intricacies of network protocols, socket programming, and distributed systems. This lab serves as a hub for fostering technical expertise and problem-solving skills, preparing students for real-world challenges in database management and networking domains.

Programming Lab

Configuration : Intel Dual Core Processor with 2GB RAM, 500GB HDD

Nos : 44

This lab is designed to facilitate hands-on learning and practical implementation of programming concepts. It serves as a hub for conducting Data Structures, C Programming, and Python Labs, providing students with a robust environment to develop problem-solving skills and master essential coding techniques. Equipped with modern computing resources and guided by expert faculty, the lab empowers learners to build a strong foundation in programming and algorithm design.

SDPK Lab

Configuration : Intel Dual core Processor with 4GB RAM, 500GB HDD

Nos : 60

This lab serves as a hub for conducting Java Programming practical sessions, fostering hands-on learning and skill development. Equipped with Cisco Webex video conferencing technology, the lab enables seamless global connectivity, facilitating interactive two-way communication between students and experts from around the world. This advanced setup ensures an enriched learning environment, bridging geographical boundaries and providing students with invaluable exposure to real-world collaborations and knowledge exchange.

Application Development Lab

Configuration : Intel Dual Core Processor with 2GB RAM, 500GB HDD

Nos : 30

This lab is dedicated to conducting Java Programming Lab sessions, providing students with a hands-on environment to learn and apply core and advanced concepts of Java. Equipped with state-of-the-art systems and essential development tools, the lab enables students to develop, debug, and test Java applications effectively. It serves as a hub for fostering programming skills, logical thinking, and software development expertise.

iOS Lab

Configuration : : Intel Core i5 with 8 GB RAM ,1 TB HDD and Intel Core i5  with 4GB RAM, 500GB HDD

No : 32

This lab is dedicated to facilitating iOS application development and comprehensive training on iWork applications. Equipped with the latest Apple devices and software, the lab provides an ideal environment for students and professionals to enhance their skills in building innovative iOS apps and mastering productivity tools like Pages, Numbers, and Keynote. The facility supports hands-on learning, enabling participants to gain practical expertise and stay ahead in the ever-evolving world of Apple technologies.

Cyber Security Lab

Configuration : : Intel Core i5 with 16GB RAM, 1TB HDD,

No: 35

Our Cybersecurity Lab is dedicated to providing hands-on training in cutting-edge cybersecurity applications. Equipped with advanced tools and technologies, this lab enables students and professionals to gain practical experience in threat analysis, penetration testing, network security, and incident response. By simulating real-world scenarios, the lab fosters skill development in identifying vulnerabilities, mitigating risks, and securing digital infrastructures, preparing learners to excel in the ever-evolving field of cybersecurity.

S1 S2 2024 SCHEME

S3S4 KTU 2019 SCHEME

S5S6 KTU 2019 SCHEME

S7S8 KTU 2019 SCHEME

COMPUTER SCIENCE & ENGINEERING Curriculum 2019 Scheme

PROJECT DETAILS

2020-24 BATCH (CY)

2019-23 BATCH(CSE)

2018-22 BATCH (CSE)

CSE 20-24

CSE 21-25

CSE 19-23

CY 20-24

CY 21-25