Artificial Intelligence & Machine Learning

Overview:


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

Vision:

To develop competent professionals with human values.

Mission:

  • 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)

PEO 1To prepare students for successful careers in Industry, Research and Institutions of higher learning.
PEO 2To encourage students to work in teams to address industrial and socially relevant problems / projects.
PEO 3To provide students with a sound mathematical, scientific and engineering fundamentals necessary to formulate, analyse and solve engineering problems.
PEO 4To promote student awareness and commitment to lifelong learning and professional ethics during the course of professional practice.
Programme Outcomes(POs)

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.

POShort Title of the PODescription of the Programme Outcome (PO)
Engineering Graduates will be able to:
PO-1Engineering knowledgeApply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO-2Problem analysisIdentify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
PO-3Design/development of solutionsDesign 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-4Conduct investigations of complex problemsUse 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-5Modern tool usageCreate, 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-6The engineer and societyApply 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-7Environment and sustainabilityUnderstand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO-8EthicsApply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO-9Individual and team workFunction effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO-10CommunicationCommunicate 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-11Project management and financeDemonstrate 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-12Life-long learningRecognize 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)

Faculty

Department Tour

3000 +
Students

160 +
Faculty

950 +
Placement

300 +
Support Staff

300 +
No. of Companies Visited