Kalpataru Institute of Technology, Tiptur

Artificial Intelligence and Machine Learning

AI & ML Information Hod Message Faculties Circulars Laboratory

Department Profile

The Department of Artificial Intelligence and Machine Learning (AI&ML) at Kalpataru Institute of Technology is dedicated for advanced knowledge and innovation in the rapidly evolving fields of AI and ML. Our department aims to equip students with a deep understanding of transformative technologies and prepare them for Excellent academic performance and successful careers in industry and research. The AI&ML department was established in the year 2023. The Department offers UG with an intake of 60. The department boasts highly qualified, experienced, and dedicated faculty committed to delivering industry-aligned education to the students. The Department Infrastructure fulfils the requirements of academics, supports research and learning skills on the latest technologies. Department has laboratories equipped with high end computer systems to carry out the lab sessions, projects and research activities. Special care is taken for each student by implementing mentor scheme. Our department is committed to creating a stimulating learning environment that inspires innovation, fosters critical thinking, and prepares students to become leaders in the field of artificial intelligence and machine learning.

Intake: 60 Students ( Academic year: 2023-2024 onwards)

To create a community of AI and ML specialists distinguished by their technical excellence and moral principles, who champion responsible innovation and honor our country's spiritual and cultural traditions, advancing technology for the betterment of society.

M1: To advance AI and ML through ground-breaking development, encouraging students and faculty to pursue innovative solutions that address global challenges and drive societal progress.
M2: To Provide a supportive and inclusive environment that nurtures the intellectual and personal growth of our students, preparing them to become leaders in AI&ML
M3: To integrate the nation's spiritual and cultural values into the AI and ML curriculum, fostering respect for our heritage and guiding students to consider the cultural impacts of their innovations.

Program Educational Objectives (PEO’s) for UG Bachelor Degree Program in Artificial Intelligence and Machine Learning (AI) :

PEO1: Achieve mastery and excel in your chosen technical profession while advancing in continuing education, interdisciplinary research, or entrepreneurship.
PEO2: Establish a reputation as an innovative solution provider for complex system problems and challenges related to Artificial Intelligence and Machine Learning.
PEO3: Advance as skilled team members who embody leadership qualities, trust, and professional ethics, becoming proactive citizens dedicated to societal progress and overall welfare.

Programme Specific Outcomes (PSO’s)

PSO1: The ability to comprehend, analyse, and apply knowledge of human cognition, Artificial Intelligence, Machine Learning, and data engineering to real-world problems, addressing future challenges.

PSO2: The ability to cultivate computational knowledge and project development skills, utilizing innovative tools and techniques to address problems in Deep Learning, Machine Learning, and Artificial Intelligence.

Program Outcomes (PO’s)

Computer Science and Engineering Graduates will be able to:

PO 1.

Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO 2.

Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO 3.

Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

PO 4.

Conduct investigations of complex problems: Use research-based knowledge and research methods 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.

The engineer 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 the 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 team work: Function effectively as an individual, and as a member or leaderin diverse teams, and in multidisciplinary settings.

PO 10.

Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

PO 11.

Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and 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.