Artificial Intelligence & Data Science
OVERVIEW
Artificial Intelligence and Data Science, as branches of engineering, blend methodologies from statistics, cognitive science, computing, and information science to extract insights from data. This knowledge drives intelligent business decisions by collecting, categorizing, strategizing, analyzing, and interpreting data. These fields specialize in developing data-driven solutions, data visualization tools, and techniques for handling big data, incorporating machine learning and deep learning to solve computational problems.
Suitable for those interested in creating intelligent business solutions, AI and Data Science offer lucrative career opportunities. Graduates can design and implement AI and DS-based software solutions, utilizing the latest tools and technologies to solve real-world problems. They acquire skills in data handling, knowledge extraction, and various application developments, contributing significantly to industries like manufacturing, e-commerce, finance, and healthcare.
Vision and Mission
- DM1: Emphasize project based learning by employing the state-of art technologies, algorithms in software development for the problems in Data science using AI.
- DM2: Involve stakeholders to make the students industry ready with training in skill-oriented computer application software.
- DM3: Facilitate to learn the theoretical nuances of AI techniques, Computer Engineering courses and motivate to carry out research in both core and applied areas of AI.
PEO's and PSO's
- PEO 1: Work effectively in inter-disciplinary field with the knowledge of Artificial Intelligence and Machine Learning to develop solutions to the real-world problems.
- PEO 2: To communicate and work effectively on team based engineering projects and will practice the ethics of their profession consistent with a sense of social responsibility.
- PEO 3: Excel as socially committed engineers or entrepreneurs with high ethical and moral values.
- PSO-1 Apply fundamental concepts of Data Sciences, Artificial Intelligence and Machine Learning to solve multidisciplinary engineering problems.
- PSO-2 To communicate and work effectively on team based engineering projects and will practice the ethics of their profession.