To excel in the field of Artificial Intelligence & Machine learning by developing an innovative mindset through effective teaching and learning process.
About Department
The Department of Artificial Intelligence & Machine Learning is a part of IES Institute of Technology and Management, a constituent unit under the IES University. The university has well furnished laboratories and digital class rooms, software and library with more than 15000 volumes of text books and reference books with subscribed e-journals. The Department of Artificial Intelligence and Machine Learning explores the nature of intelligence and the ways in which computation can be used to explain and engineer it. Work in AI combines the scale afforded by machine learning with the expressive and organizational power of semantic information-processing and knowledge-based reasoning.
To provide appropriate facilities and environment for effective teaching learning process. To ensure availability of intellectual assets in terms of qualified faculty committed for developing competent students. To enhance the technical skills of students by practical approaches like workshops, expert lectures and Industry-Institute interactions. To organize extra- curricular and co-curricular activities for positive contribution to the society.
- To apply professional skills to design and solving cyber related problems.
- To develop Cyber technocrats expert in AI & Machine leaning with moral & ethical values.
Students will be skilled with:
- Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, computer sciences and core engineering knowledge to the solution of complex engineering problems in Cyber Security.
- Design/Development of Solutions: Design solutions for complex problems in area Digital and Cyber Security that meet the specified needs with appropriate consideration.
- Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern Artificial intelligence and Machine learning IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
- Cyber security and Society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice in the domain of Artificial Intelligence & machine learning.
- Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological changes in the Artificial intelligence and Machine learning.
