An Autonomous Institution
The Department of Artificial Intelligence and Data Science has student chapters from the following Professional Societies .Every year the department organizes many events through these chapters. The Indian Society for Technical Education (ISTE) Institute of Electronic and Electrical Engineers(IEEE)
B.Tech – Artificial Intelligence and Data Science
The Department has spacious classrooms, air-conditioned seminar hall, and a well-equipped laboratory. It has three dedicated fully air-conditioned computer labs with 60 systems, all in a networked environment with uninterrupted power supply. These systems have the most updated software and they run on various platforms such as Windows, Linux, Sun. The department offers free high-speed… Continue reading Infrastructure
Machine Learning Techniques Machine Learning Laboratory Deep Learning Data Warehousing and Data Mining Biomedical Signal & Image Processing R Programming Laboratory Biomedical Signal & Image Processing Laboratory Artificial Intelligence Embedded and Real Time Systems Robotics & Intelligent Systems IoT & Sensors Technologies Artificial Intelligence Laboratory Embedded Systems Laboratory Computer Vision and Data Visualization Natural Language… Continue reading Laboratory
List of faculty : List of Supporting Staff:
PEO 1 Analyze the problems by applying the principles of computer science, mathematics, and scientific investigation to build intelligent machines, software, or applications using latest technologies to identify new opportunities. PEO 2 Embrace lifelong learning to meet ever changing developments in Artificial Intelligence and Data science PEO 3 Work productively in supportive and leadership roles… Continue reading Program Educational Objectives (PEO)
PSO 1 Apply the concepts and practical knowledge in analysis, design and development of computing systems and applications to multi-disciplinary problems. PSO2 To provide a concrete foundation and enrich their abilities to qualify for Employment, Higher studies and Research in Artificial Intelligence and Data science with ethical values
PO 1. Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems. PO 2. 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. PO 3. Design/Development of Solutions:… Continue reading Program Outcomes (PO’s)
