Artificial Intelligence & Machine Learning
ARTIFICIAL INTELLIGENCE & MACHINE LEARNING
Department of Artificial Intelligence & Machine Learning, established in the year of 2022, is running one undergraduate program B.E. (Artificial Intelligence & Machine Learning).
- Year of Establishment: 2022
- Head of Department: Dr. S. R. Biradar
- Current Intake: 60
- Phone Number: 9741421201
To develop competent professionals with human values.
- To have contextually relevant Curricula.
- To promote effective Teaching Learning Practices supported by Modern Educational Tools and Techniques.
- To enhance Research Culture.
- To involve the Industrial Expertise for connecting Classroom contents to real-life situations.
- To inculcate Ethics and soft-skills leading to overall personality development.
PEOs & POs
Programme Educational Objectives(PEOs)
UG – Artificial Intelligence & Machine Learning: PROGRAM EDUCATIONAL OUTCOMES (PEOs)
|To prepare students for successful careers in Industry, Research and Institutions of higher learning.
|To encourage students to work in teams to address industrial and socially relevant problems / projects.
|To provide students with a sound mathematical, scientific and engineering fundamentals necessary to formulate, analyse and solve engineering problems.
|To promote student awareness and commitment to lifelong learning and professional ethics during the course of professional practice.
UG – Artificial Intelligence & Machine Learning: PROGRAM OUTCOMES (POs)
Outcomes are the skills and knowledge which the students have at the time of graduation.This will indicate what student can do from subject-wise knowledge acquired during the programme.
|Short Title of the PO
|Description of the Programme Outcome (PO)
Engineering Graduates will be able to:
|Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
|Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
|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.
|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.
|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.
|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.
|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.
|Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
|Individual and team work
|Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
|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.
|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.
|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.
Programme Specific Outcomes (PSOs)
UG – Artificial Intelligence & Machine Learning: PROGRAM EDUCATIONAL OUTCOMES(PEOs)
Dr. Sangappa Ramachandra Biradar
Professor in ISE and i/c
Dr. Leena I. Sakri
Dr. Ramchandranayak N Yadawad
Dr. Vandana S. Bhat
Artificial Intelligence & Machine Learning Scheme
I Year AIML Syllabus – 2022-23
I Year AIML Syllabus – 2023-24
II Year AIML Syllabus – 2023-24
No. of Companies Visited