B.TECH. COMPUTER ENGINEERING (AI & ML) (4 YEARS)

Vision

• To develop skilled professionals who can effectively tackle various challenges, equipped with advanced capabilities and ethical principles to innovate responsibly for the benefit of society.

Mission

• To provide top-notch, value-based technical education in all areas of computer engineering by utilizing cutting-edge tools and creative methods.
• To develop the ability of innovative thinking, analyzing and making decisions for offering techno-commercially feasible and socially acceptable solutions to real life problems by applying AI and data Science.
• To transmit the capacity to work both individually and together on simple to complicated challenges.

Program Educational Objectives (PEOs)

• PEO1: To provide theoretical and practical knowledge of Data Science and Artificial Intelligence for leading successful career in industries as well as pursuing higher studies.
• PEO2: To provide scope to learn, apply skills, techniques and competency to use modern engineering tools to solve computational problems.
• PEO3: To develop lifelong learning, professional and ethical attitude for embracing global challenges and make positive impact on environment and society.

Program Outcomes (POs)

• PO1 Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
• PO2 Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
• PO3 Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
• PO4 Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
• PO5 Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
• PO6 The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
• PO7 Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
• PO8 Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
• PO9 Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
• PO10 Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
• PO11 Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
• PO12 Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Program Specific Outcomes (PSOs)

• PSO1: Develop advanced proficiency in designing and implementing AI algorithms and models to address complex real-world challenges across diverse domains, showcasing a deep understanding of human cognition and data engineering principles.
• PSO2: Cultivate expertise in leveraging cutting-edge tools and techniques in AI and Machine Learning, with a focus on industrial demands, innovation and practical application, to devise optimized solutions for computationally intensive applications and interdisciplinary problems, fostering a holistic approach to problem-solving.