Artificial Intelligence

Last updated on May 17th, 2025 at 11:42 am

Artificial Intelligence and Machine Learning

HOD’s Desk

Dr. M. A. Ali (I/c)

Artificial Intelligence and Machine Learning

People

Faculty

[show-faculty department=”Artificial Intelligence (AI) and Machine Learning”]
Vision

To develop globally competent and ethical professionals, in the field of Artificial Intelligence and Machine Learning, ready pursue entrepreneurship along with digitization of society

Mission

M1. To impart cutting-edge technology skills and competencies in the field of Artificial Intelligence and Machine Learning, thus producing industry-ready professionals and entrepreneurs.
M2. To collaborate with the leading industries to exhilarate innovative research and development in Artificial Intelligence and Machine Learning and its allied technologies.
M3. To inculcate ethical values amongst students who are always eager to address global issues for life-long learning.

Programme Educational Objectives(PEO’s)

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Programme Outcomes(PO’s)

1. Basic and Discipline specific knowledge: Apply knowledge of basic mathematics, science and engineering fundamentals and engineering specialization to solve Engineering problems.

2. Problem Analysis : Identify and analyze well defined engineering problems using codified standard method.

3. Design/development of solutions: Design solutions for well defined technical problems and assist with the design of systems components or processes to meet specific needs.

4. Engineering tools, Experimentation and Testing: Apply modern engineering tools and appropriate technique to conduct standard tests and measurements.

5. Engineering practices for society, sustainability and Environment: Apply appropriate technology in context of society, sustainability, environment and ethical practices.

6. Project Management: use engineering management principles individually, as a team member or a leader to manage projects and effectively communicate about well defined engineering activities

7. Life-long learning: Ability to analyze individual needs and engage in updating in the learning in the context of technological changes.

Programme Specific Outcomes(PSO’s)

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Program Wise Committee (PBOs Committee)

Sr.No. Name of Member Designation Experience Organization
1        

Laboratories

Sr. No. Name of the Lab. Name of Major Equipment’s Available floor area (in sq.m) Cost (in Rs.) Remarks
1 COMPUTER CENTER LAB PC- 10, Scanner   9,80,405  
2

HARDWARE LAB PC- 10, Scanner   9,95,069   
3 SOFTWARE LAB PC- 10   8,27,291  
4 MICROPROCESSOR LAB PC- 10   10,26,260  
5 PROGRAMMING LAB PC- 10   8,92,327  
6 MSBTE LAB – 1 PC – 25      
7 MSBTE LAB – 2 PC – 25