About Us

About CSE (AI & ML)

B.Tech Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning (CSE–AI & ML) is one of the most promising and dynamic branches of engineering. Combining the core concepts of computer science with advanced AI & ML techniques, this program equips students with the expertise to innovate, design, and implement intelligent solutions that can enhance the way we live and work.

The Department of Computer Science and Engineering (AI & ML) was established in the year 2020 with an intake of 60 students in the B.Tech program. The Department is equipped with state-of-the-art laboratories, GPU-enabled computing systems, and high-speed internet infrastructure to support AI-driven experiments and research. The Department has been maintaining high standards of teaching, research, and skill-building, preparing students to excel in the competitive world of technology.

Our experienced, qualified, and research-oriented faculty, along with a team of committed technical staff, play a key role in guiding students toward academic excellence and professional success. The department aims to develop industry-ready graduates equipped with the latest trends and practices in artificial intelligence and machine learning, who can contribute effectively to the society and technological growth.

Program Outcomes (POs)

PO1: Engineering knowledge:
Apply knowledge of mathematics, computer science, engineering fundamentals, and AI & ML techniques to tackle complex engineering problems.

PO2: Problem analysis:
Identify, research, and analyze AI & ML problems and develop informed conclusions using logical reasoning, statistical tools, and data-driven techniques.

PO3: Design/development of solutions:
Design intelligent solutions for real-world problems that take into account safety, ethics, and sustainability, with a focus on delivering public and societal benefits.

PO4: Conduct investigations of complex problems:
Use research-oriented knowledge and state-of-the-art AI tools to explore data, conduct experiments, and validate solutions that draw actionable conclusions.

PO5: Modern tool usage:
Use and integrate AI & ML software, frameworks, programming languages, and computing tools for predictive modeling and simulation, acknowledging their scope and limitations.

PO6: The engineer and society:
Assess the impact of AI-based solutions on society, economy, health, safety, legal, and cultural aspects, fulfilling the responsibilities of a socially-conscious engineer.

PO7: Environment and sustainability:
Understand the need for sustainable development and evaluate the environmental implications of AI-driven engineering solutions.

PO8: Ethics:
Practice professional ethics, integrity, and data privacy principles in all AI & ML projects and research to ensure trust and accountability.

PO9: Individual and team work:
Work efficiently as an individual and collaboratively in teams across multidisciplinary areas, assuming leadership roles when required.

PO10: Communication:
Effectively communicate complex AI & ML concepts and findings in written, oral, and graphical forms to a diverse range of stakeholders.