Department of Artificial Intelligence and Machine Learning
Vision of the Institute
To become a leading Institute in Technical education fostering innovation, research, ethical values, and sustainable development for the betterment of society.
Mission of the Institute
To impart high quality Technical Education through:
- M1. Innovative and Interactive learning process and high quality, globally recognized instructional programs.
- M2. Fostering a collaborative scientific temper among students with ethical responsibility towards the society.
- M3. Preparing students from diverse backgrounds to have aptitude for employment, entrepreneurship and research with a spirit of Professionalism.
- M4. To contribute to nation’s sustainable development.
Vision of the Department
Fostering technical excellence in Artificial Intelligence and Machine Learning through ethics, innovative research, and sustainable education.
Mission of the Department
- M1 Innovative and interactive learning processes with high-quality instructional programs in Artificial Intelligence and Machine Learning.
- M2 Fostering a collaborative scientific temper among students with ethical responsibility towards society in AI and ML applications.
- M3 Preparing students from diverse backgrounds to develop aptitude for employment, entrepreneurship, and research in AI and ML with a spirit of professionalism.
Program Educational Objectives (PEOs) of the Department
- PEO1 Graduates will apply engineering knowledge and innovation to solve complex problems in Electronics and Telecommunication domains.
- PEO2 Graduates will demonstrate ethical and social values while adapting to technological advancements for sustainable societal progress.
- PEO3 Graduates will pursue careers through employment, entrepreneurship, or research, embracing professionalism and continuous learning throughout life.
Program Specific Outcomes (PSOs)
- PSO 1 Apply programming concepts, algorithms, data structures to develop data driven software and Web solutions.
- PSO 2 Develop Intelligent Solutions using Machine Learning, data analysis and cloud technologies for Practical Problem-solving.
