Computer Science Engineering (AI & ML)

The Computer Science Engineering (AI&ML) program at R.R. Group of Institutions (RRGI) delves deep into the exciting world of artificial intelligence and machine learning, fields that are transforming industries globally. Covering a variety of topics, this program focuses on the development of intelligent systems through the analysis of algorithms, programming languages, data structures, deep learning, neural networks, and the integration of machine learning into real-world applications.

At RRGI, we pride ourselves on providing students with world-class infrastructure, including fully equipped labs, cutting-edge tools, and regular workshops that focus on the latest advancements in AI & ML. Our curriculum also includes industrial tours and hands-on projects, ensuring that students gain practical exposure and a competitive edge in the rapidly evolving tech landscape.

AI & ML have their roots in mathematics, computer science, and data science. While these fields were initially explored within specialized departments, they have now evolved into distinct branches of engineering. From the inception of the B. Tech program in Computer Science with a focus on AI & ML at RRGI, we have continuously adapted to emerging technologies, ensuring our students are at the forefront of innovation.

Our graduates from the CSE (AI&ML) department have demonstrated exceptional skills and have secured placements in top-tier IT and tech companies such as Wipro, Accenture, Capgemini, Zensar, and others, often with impressive salary packages. This achievement reflects our commitment to fostering professional excellence and producing industry-ready engineers who excel in the fields of Artificial Intelligence and Machine Learning.

To establish a scientific & technical environment which imparts quality education to achieve excellence in the field of Computer Science & Engineering specialised in Artificial Intelligence and Machine Learning to cater the evolving needs of the industry and society by maintaining human values, morals and ethics.

• M1-To provide quality education in the field of Computer Science & Engineering and latest concepts and techniques like Artificial Intelligence and Machine Learning by adopting high-quality academic practices which enable our students to meet the demands of academia, industry, nation and the world at large.
• M2-To motivate students for higher studies, employability and research activities for the betterment of society.
• M3-To induce students with professional behaviour, leadership, ethics, morality and Indian values.

• PEO1:- Graduate of the program will be able to apply theoretical and technical principles of Computer Science & especially latest technologies like Artificial Intelligence and Machine to analyze and provide innovative solutions to real-life problems.
• PEO2:- Graduate of the program will be technically and professionally competent for employability, research & development, higher education and entrepreneurship with a zeal for continuous learning in the field of Computer Science& Engineering and related domains.  
• PEO3:- Graduate of the program will be able to work individually as well as in teams with sound communicational skills.

• The graduates should have the excellent capability to solve the problems and do innovation in the area of algorithm, data sciences, network & securities, deep learning, and web application with the help of available tools, technologies, and resources.
• The graduates should have the ability to apply multidisciplinary approaches to formulate and develop products based on existing knowledge and research for the industry and societal real problems.

The Labs established by the department are as follows :

• Computer Networking Lab
• Numerical Technique Lab
• Software Engineering Lab
• Compiler Design Lab
• Artificial Intelligence/Distributed System Lab
• Design & Analysis Of Algorithms Lab
• Internet Lab
• Java Programming Lab

RRIMT adopts a comprehensive and student-centered approach to teaching and learning, ensuring that our students are equipped with both the theoretical foundation and practical skills necessary to succeed in the competitive field of software development. Our teaching-learning methodologies are designed to promote critical thinking, problem-solving, hands-on experience, and industry relevance.

1. Student-Centered Learning Approach

We follow a student-centered approach that encourages active participation, deep learning, and collaborative efforts. This methodology aligns with the current trends in education and enhances the overall learning experience by promoting greater engagement with the subject matter.

• • • Interactive Lectures

• • • Project-Based Learning

2. Blended Learning

A combination of traditional classroom learning and online resources is employed to cater to different learning styles and preferences. Blended learning ensures that students not only grasp foundational concepts but also have access to additional learning material such as online tutorials, videos, and software development tools.

• • • e-Learning Platforms

• • • Flipped Classroom Model

3. Hands-On Learning

In the software branches, practical learning is at the core of our methodology. We provide students with the necessary tools, platforms, and environments to apply the concepts they learn in real-time.

• • • Laboratory Work

• • • Industry Tools & Software

4. Collaborative Learning and Peer Interaction

We emphasize collaborative learning, where students work in teams, mimicking industry settings. This approach develops their interpersonal and communication skills, both of which are crucial in the software development field.

• • • Group Projects and Hackathons

• • • Peer Review & Code Sharing

5. Industry-Institute Interface

A key element of our teaching-learning methodology is maintaining close ties with the industry. This ensures that students are exposed to the latest trends, tools, and technologies used in the software industry.

• • • Industrial Visits

• • • Guest Lectures and Workshops

• • • Internships

6. Continuous Assessment and Feedback

Assessment is an ongoing process designed to evaluate both theoretical understanding and practical skills development.

• • • Formative Assessments: Regular quizzes, assignments, presentations, and coding challenges assess students’ understanding and progress throughout the course.
    • Summative Assessments: At the end of each semester, students undergo final exams and major projects to demonstrate their competency in software engineering concepts.
    • Feedback Mechanisms: Continuous feedback from faculty, industry mentors, and peer reviews is incorporated to guide students and improve their performance.

7. Industry-Relevant Curriculum

The curriculum is designed to match the current needs and trends of the software industry, ensuring that students are well-prepared to tackle real-world software engineering challenges.

• • • Modular Approach

• • • Capstone Projects

8. Outcome-Based Education (OBE)

Our teaching-learning methodology is in line with the Outcome-Based Education (OBE) framework, which focuses on the outcomes and results of the learning process. The curriculum and teaching methods are aligned with specific program outcomes (POs) and program educational objectives (PEOs), ensuring that graduates meet the professional, ethical, and technical expectations of the software industry.

At R.R. Group of Institutions, we are committed to delivering a high-quality education in Software Engineering through an innovative and effective teaching-learning methodology. Our approach integrates theoretical knowledge with practical experience, ensuring that our students are not only prepared to meet the challenges of the industry but also equipped to lead and innovate in the evolving field of software development.

• Design and develop software application for different industries
• Manages the software, hardware & networks in any industry
• Involves in the design and development of the hardware components of PCs & laptops
• Develop software for peripheral computing devices such as printers, modems and scanners
• Writes code and algorithms for operating systems like Windows, Linux, etc.

As the leading Computer Science college in Lucknow, R.R. Group of Institutions (RRGI) has strived consistently to create an atmosphere of uninhibited learning and practical application of curricula for the students of our B.Tech Computer Science Department.

• • Software Developers: Software developers are professionals who are concerned with facets of the software development process, which involves activities such as design and coding, computer programming, project management, etc.
  • Hardware Engineers: These professionals do research, design, develop, test, and oversee the installation of computer hardware which inter alia includes computer chips, circuit boards, systems, modems, keyboards, and printers.
  • System Designer: Professionals involved in system design, Logical & Physical design, wherein logical design can be enumerated as the structure & characteristics such as output, input, files, databases, procedures, etc.
  • System Analyst: Computer engineers who work as systems analyst do research about the existing problems and plan solutions for them. They also recommend software and system-related problems and coordinate development between business development teams.
  • Networking Engineers: Networking engineers are computer professionals involved in the design, implementation, and troubleshooting of computer networks.
  • DBA: DBAs, or Database administrators, are the professionals who are bestowed with the job to designing, implementing, maintaining, and repairing an organization’s database. Inter alia, DBA professionals are also known as Database Coordinator or Database Programmer in IT sector.