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Artificial Intelligence & Data Science (AI&DS)
VISION
To be the center of excellence in empowering girl students with quality education to make lifelong global innovators & contributors in the ever-advancing field of Artificial Intelligence & Data Science.
MISSION
To provide a student-centric education that aims to focus on a four tiered strategy of Education, Research, Development and Innovation by formulating a meaningful curriculum that combines theory and practical skills.
To Foster industry collaborations for impactful applications, industry readiness & encourage students in research, innovations and inventions through quality internships, hackathons & other technical events.
To let our young minds flourish in any industry by promoting continuous learning and develop employability skills through quality training programs.
To produce competent and ethical engineers who will design, develop, innovate & invent ethical AI systems, leaving a remarkable impact on the technological needs of the society and achieve self-sustainability.
Artificial Intelligence & Data Science (AI&DS)
B.E in Computer Science ( Artificial Learning and Data Science is an undergraduate program me offered by the Dept of Computer Science, with advanced learning solutions imparting knowledge of advanced innovations like machine learning, often called deep learning and artificial intelligence.
This specialization is designed to enable students to build intelligent machines, software, or applications with a cutting-edge combination of machine learning, analytics and visualization technologies. The main goal of artificial intelligence (AI) and machine learning is to program computers to use example data or experience to solve a given problem. Many successful applications based on machine learning exist already, including facial recognition technology, driverless cars, systems that analyze past sales data to predict customer behaviour (financial management), optimize robot behaviour so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data.
This programme discusses AI methods based in different fields, including neural networks, signal processing, control, and data mining, in order to present a unified treatment of machine learning problems and solutions.
