DEPARTMENT : Computer Science & Engineering (AI & ML)

About Us

Department of Computer Science & Engineering (AI & ML)

The Department of Computer Science & Engineering (AI & ML) is a well established department with well-equipped labs with cutting-edge computers required for performing experiments, projects in the area of AI & ML. These state-of-the-art facilities provide a dynamic environment for hands-on learning and project development. Our highly qualified and talented faculty members are not just educators, they are passionate mentors with extensive experience.

Under the strategic leadership of Dr. Mahavir Arjun Devmane, the faculty members bring a wealth of knowledge and real-world experiences into the classroom. The exciting learning environment and guidance encourages the young students for out of the box thinking and complex problem-solving.

Vision of Computer Science & Engineering (AI & ML)

To impart quality education in the field of Computer Science & Engineering (AI & ML) to meet the challenging needs of the society and industry.

Mission of Department of Computer Science & Engineering (AI & ML)

1.To provide quality education to students by including Problem Solving, Teamwork and Leadership Skills to achieve their goals in the field of Computer Science & Engineering (AI & ML)

2.To educate students for global development including entrepreneurship, employability and the ability to apply technology to real life problems.

3.To develop skilled IT professionals with moral principles and empower them in lifelong learning.

Program Outcomes (POs)

PO1
Engineering knowledge
Apply the knowledge of mathematics, science, engineering fundamentals, and Artificial Intelligence and Data Science basics to the solution of complex engineering problems.
PO2
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.
PO3
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.
PO4
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.
PO5
Modern tool usage
Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
PO6
The engineer and society
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.
PO7
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
PO8:
Ethics
Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9
Individual and teamwork
Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10
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.
PO11
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.
PO12 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.

Department Summary
Branch started in the year
2024-2025
Intake Capacity(2024-25)
60
Intake Capacity(2025-26)
120

Departmental Advisory Board (DAB)

Sr. No.
Name of Member
Designation
1
Dr. Alam N. Shaikh
Chairperson
2
Dr. Mahavir Devmane
Convener
3
Dr. Seema Ladhe
Member
4
Prof. Gitanjali Korgaonkar
Member
5
Dr. Ashok M. Kanthe
Member
6
Mr. Srikant Bagewadi
Member
7
Varhadi Siddhesh Sandesh Neha
Member
8
Patil Sneha Santosh
Member
9
Wavhal Shreya
Member
10
Sonal Limbare
Member

Program Assessment & Quality Improvement Committee (PAQIC)

Sr. No.
Name of Member
Designation
1
Dr. Mahavir A. Devmane
Chairperson , Head of Department
2
Dr. Seema Ladhe
Academic Committee Member
3
Prof. Geetanjali Korgaonkar
Member Faculty
4
Prof. Devita Ghanekar
Member Faculty
5
Prof. Srushti Jadhav
Member Faculty
6
Prof.Seema Pawar
Member Faculty

Professional Bodies affiliated to the Department

Sr. No.
List of professional bodies
1
AI&ML Students Association
2
IETE