The Department of B. Tech. in Artificial Intelligence and Machine Learning (AI and ML) at the Faculty of Engineering and Technology (Exclusively for Women) was established in the year 2021 with an intake of 60 students. It is a four-year full-time undergraduate program recognized by the All-India Council for Technical Education (AICTE). Artificial Intelligence and Machine Learning aim to develop a strong foundation by using principles and technologies that consist of many facets of Artificial Intelligence, including logic, knowledge representation, probabilistic models, and machine learning.
To nourish the young minds, the department has a team of dedicated and experienced faculty with good infrastructure, curriculum, comprehensive hands-on experience, and conducting research in the field of Artificial Intelligence & Machine Learning.
The department has well-equipped laboratories with higher configuration systems along with a smartboard available in the laboratory to provide the best to the students. The department has a wide technical spectrum through the centre of excellence, special labs, industrial tie-ups, collaborations, MOUs, and online forums.
VISION
To train women professionals to create sustainable, intelligent solutions that work with natural intelligence to empower future generations digitally while protecting social ethics.
MISSION
To provide female students with the necessary foundational skills to pursue a successful career in the field of computer science and engineering, with a focus on artificial intelligence and machine learning.
To Improve academic outcomes through location-based education and relationships with established research laboratories and enterprises.
To Inspire young women to pursue entrepreneurial endeavours and help them grow into influential leaders.
Program Educational Outcomes (PEOs)
After a few years of graduation with a B. Tech. in Artificial Intelligence and Machine Learning, the girl graduates will be able:
PEO-1: To analyse the problems by applying the principles of computer science, mathematics, and scientific investigation to build intelligent machines, software, or applications using the latest technologies to solve problems of the real world.
PEO-2: To start an enterprise to improve the economy of the country by providing support to the customer for a lifelong learning attitude.
PEO-3: To Pursue higher studies with research potential in the field of Artificial intelligence, Engineering in allied areas and continue to learn by participating in conferences, and seminars, etc.
Program Outcomes (POs)
On successful completion of the program, the graduates of the B. Tech. in Artificial Intelligence and Machine Learning program will be able to:
PO 1: Engineering knowledge: Apply the knowledge of mathematics, science, and engineering fundamentals for the solution of complex problems in Artificial Intelligence & Data Science.
PO 2: Problem analysis: Identity, formulate, research literature, and analyze engineering problems to arrive at substantiated conclusions using the first principles of mathematics, nature, and engineering sciences.
PO 3: Design/development of solution: Design solutions for complex engineering problems and design system components, and processes to meet the specifications with consideration for public health and safety, and cultural, societal, and environmental considerations.
PO 4: Conduct Investigation of a complex problem: Use research-based knowledge including design of experiments, analysis, and interpretation of data, and synthesis of the information to provide valid conclusions.
PO 5: Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
PO 6: Engineering 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.
PO 7: Environment and sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO 8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice
PO 9: Individual and Teamwork: Function effectively as an individual, and as a member or leader in teams, and multidisciplinary settings.
PO 10: Communication: Communicate effectively with the engineering community and with society at large. Be able to comprehend and write effective report documentation. Make effective presentations and give and receive clear instructions.
PO 11: Project management and finance: Demonstrate knowledge and understanding of engineering and management principles and apply these to one’s work, as a member and leader in a team. Manage projects in multidisciplinary environments.
PO 12: 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 change.
Program-Specific Outcomes (PSOs)
Upon successful completion of the B. Tech. in Artificial Intelligence and Machine Learning (AI and ML) program, graduates will possess the following abilities:
PSO 1: Understand, analyze, and develop vital skills in areas related to computer science and artificial intelligence, with a focus on underlying statistical and computational principles. Apply this knowledge to solve practical problems.
PSO 2: Demonstrate the ability to implement AI and ML techniques, including search algorithms, neural networks, machine learning, and data analytics, for solving problems and designing novel algorithms. Develop skills essential for a successful career and entrepreneurship.
PSO 3: Utilize modern tools and techniques in computer science, artificial intelligence, and data science.
