Programmes

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Course Name: B.E in Artificial Intelligence and Machine Learning
Level: UG (Intake 360) started in 2020 with an intake 60. Intake increased to 120 seats for AY: 2021-22. Intake increased to 138 seats for AY: 2022-23. Intake increased to 198 seats for AY: 2023-24.
Year of Approval: 2020
Accreditation Status: Yet to be accredited, in progress.
Doctoral Courses: -
Foreign Collaborations : -
Professional Society Memberships : IEEE, ACM, CSI, ISTE, BITES, IEI
Professional Activities : Department Co-Curricular Affinity Groups: Gradient Club.
Seminars and workshops are conducted regularly in association with IEEE BMSCE student chapter and ACM student chapter.
Consultancy Activities : 1. Title: Inspection and Certification of 523 No. of Dell Computers at Bangalore Institute of Technology (BIT).
Address: K R Road, V V Puram, Bengaluru - 560 004
Period : 03 days (10 Jan 2024 to 12 Jan 2024)
Amount earned: Rs. 50,000/-

2. Value Added Course "DL Parallel Programming in Python" was conducted for BCA Students of BMS College of Commerce and Management Address: No. 97, Kavi Lakshmisha Road, Opp to Jain College, Bangalore - 560 004
Duration : 20 days ( Oct 2023 - June 2024 )
Amount earned: Rs. 1,80,000/-

3. Student Development Program on "Hands on Mastery: Deep Drive into Machine Learning and Deep Learning Techniques" for students of Dr. T Thimmaiah Institute of Technology.
Duration: 2 weeks ( 03 June 2024 to 14 June 2024 )
Amount earned: Rs. 1,00,000/-
Grants Fetched : Project Title : DEEP NEURAL NETWORK PATH TO MULTIPHYSICS MODELING OF HEAT TRANSFER IN POROUS MEDIA
Sanctioned Year : 2023
Amount : INR 36,72,000/-
Funding/Sanction Agency : Ministry of Education, Govt. of India
Status : Ongoing
Principal Investigators (PI):
Dr. BANDARU MALLIKARJUNA (B.M.S.COLLEGE OF ENGINEERING)
CoPI(s):
Dr Sandeep Varma Nadimpalli ( B.M.S.COLLEGE OF ENGINEERING)
Prof BVRKUMAR (IIT Kanpur)
Departmental Achievements : Six Days Faculty Development Programme on "Generative AI with Large Language Models: Practical Insights & Future Directions from 23 - 28, September 2024". Jointly Organized by RNS Institute of Technology & B.M.S. College of Engineering Sponsored by Visvesvaraya Technological University, Belagavi and Indian Society for Technical Education.

MOU Details:
1. 21 March 2023 to 21 March 2024 by Dr. Sowmya Lakshmi B.S -Orthodontic Treatment Planning Using AI -Government Dental College and Research Institute, Bengaluru.
2. 22 June 2023 to 21 June 2026 by Dr. Gowrishankar & Dr. Monika P-Incorporate experience & knowledge of industrial standards and technical skills in the domain of AI & ML to
the students of BMSCE, BMSIT&M and General public- BMS Educational Trust and Metropolitan Media Company Ltd.
3. 22 June 2023 to 21 June 2026 by Dr. Gowrishankar & Dr. Monika P- Incorporate experience & knowledge of industrial standards and technical skills in the domain of AI & ML to the students of BMSCE, BMSIT&M and General public.- BMS Educational Trust and PW Skills.
4. 15 Nov 2023 to 14 Nov 2026 by Dr. Gowrishankar & Dr. Monika P- Incorporate experience &knowledge of industrial standards and technical skills in the domain of AI&ML to
the students of BMSCE, BMSIT&M and General public-BMS Educational Trust and BOSTON IT Solutions India Pvt. Ltd.
5. 02-02-2024 to 02-02-2025 by Dr Seemanthini K- MOU between BMSCE and AECC global-AECC global.

Programme Educational Objectives (PEOs)

PEO1Acquire fundamentals and expertise in data engineering skills for professional career in industry, government, academia as innovative engineers.
PEO2Pursue higher studies with research potential.
PEO3Demonstrate professional ethics and attitude as an individual or team member at workplace and function professionally in a global competent world.

Programme Specific Objectives (PSOs)

PSO1Software Systems: Apply the skills of cognitive computing, artificial intelligence and machine learning in the field of data engineering to develop intelligent systems.
PSO2 Recommendation Systems: Demonstrate Computational knowledge, practical competency and innovative ideas in Artificial Intelligence & Machine Learning.
PSO3Data Driven Systems: Use modern tools and techniques to solve problems in Machine Learning, Deep Learning, Computer Vision and Natural Language Processing.

Programme Outcomes (POs)

PO1Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO2Problem Analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
PO3Design/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.
PO4Conduct 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.
PO5Modern 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.
PO6The 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
PO7Environment 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.
PO8Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9 Individual and Team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10Communication: 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.
PO11Project 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.
PO12Life-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.