Artificial Intelligence and Machine Learning
Overview
The Department of Artificial Intelligence was established in the year 2020 with an intake of 60 Students. Artificial Intelligence prepares students with the skills to perform intelligent data analysis which is a key component in numerous real-world applications. Apart from making them good technocrats, the Department also provides individual attention to make them good citizens of our nation and to serve the industry and society constructively to make them good technocrats through futuristic plans. The Department has state-of-the-art facilities for various labs, well equipped seminar halls, classrooms to support e-learning and a department library. By this course, the students will gain cross-disciplinary skills across fields such as statistics, computer science, machine learning, and logic, data scientists and may have career opportunities in healthcare, business, E-Commerce, social networking companies, climatology, biotechnology, genetics, and other important areas.
Vision and Mission
- DM1: Create centers of excellence in cutting-edge computing and artificial intelligence.
- DM2: Impart rigorous training to generate knowledge through the state-of-the-art concepts and technologies in Artificial Intelligence and Machine Learning.
- DM3: To enhance research in emerging areas by collaborating with industries and institutions at the national and international levels.
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 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 consistent with a sense of social responsibility.
Faculty Details
Courses
Syllabus
EResources
Projects
Research and Development
Academic Excellence
Infrastructure
Academic Facilities
Achievements
3rd Position in Project Expo hosted by CMR College of Engineering
Antra Hackathon at SOA University
Hackathon at St. Francis College for Women
A Team from the department of AI&ML represented our college and participated in a hackathon which was organized by Spectrum club of St. Francis college for women, they secured 2nd position and won a cash prize of 5000/- in the hackathon
First Place in MEDHANVESH 2K23 by Department of CSM
