CSE-ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

About the Department

Computer Science and Engineering - AI & ML is the Heart and soul of many engineering branches. The current state of the globe is largely due to these fields. The institution's Computer Science & Engineering - AIML (CSE - AIML) course began in 2022.

Artificial intelligence (Artificial Intelligence) and Machine Learning (Machine Learning) are two correlated concepts under Computer Science. These two technologies are the most trending ones for creating intelligent systems.

Artificial Intelligence courses are designed to provide knowledge in various topics in AI, including machine learning, deep learning, natural language processing, computer vision, robotics, and data analytics. Artificial Intelligence is a unique career path that can lead you to success.

 

 

Vision

Being a well-known department that specializes in teaching artificial intelligence & machine learning and preparing students to become professional engineers who uphold human values and strive for overall excellence.

 

Mission

· Educate students to be technically proficient by cultivating creativity and initiative.

    · Establish centers of excellence in advanced artificial intelligence and computer fields.

    · Develop a commitment to environmental maintenance, lifelong learning, social justice, and professional ethics.

 · To Provide focused teaching so that students can learn about the newest ideas and advancements in artificial intelligence.

PROGRAM OUTCOMES

Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

 Problem Analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

 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.

 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.

 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.

 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.

 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.

 Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

 Individual and Team Work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

 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.

 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.

 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.

 Design, implement, test and evaluate a computer system, component, or algorithm to meet desired needs and to solve a computational problem.

 Ability to analyze, design and implement hardware and software components