SGU University

About School Of Engineering & Technology

Director’s Desk

Engineering and technology are transforming rapidly, creating new opportunities as well as challenges for the next generation of engineers. At the School of Engineering & Technology, Sanjay Ghodawat University, our endeavour is to create an academic environment that promotes excellence, innovation, research, industry readiness and holistic development.

The School offers a diverse range of undergraduate, postgraduate and doctoral programmes designed to meet the evolving needs of industry, academia and society. At the undergraduate level, we offer B.Tech. programs in Computer Science & Engineering (CSE), Artificial Intelligence & Machine Learning (AIML), Artificial Intelligence & Data Science (AIDS), Civil Engineering, Electronics & Communication Engineering and Aerospace Engineering.

At the postgraduate level, the School offers M.Tech. programmes in Artificial Intelligence & Data Science (AIDS), Civil Engineering and Aerospace Engineering. The School also provides opportunities for advanced research through Ph.D. programmes in Computer Science & Engineering, Civil Engineering, Electronics Engineering and Aerospace Engineering.

We believe that engineering education must go beyond theoretical knowledge. Our focus is on Outcome-Based Education, experiential and project-based learning, emerging technologies, internships, industry interaction and skill development, enabling students to apply their knowledge to real-world problems.

Research and innovation are integral to our academic culture. We encourage students and faculty to pursue research, patents, consultancy, interdisciplinary projects, entrepreneurship and technology-driven solutions that create meaningful societal impact.

We are equally committed to developing engineers with professional competence, leadership, communication skills, ethical values and social responsibility. Through mentoring, technical activities, co-curricular initiatives and industry exposure, we strive to prepare our students for successful careers and lifelong learning.

We are committed to continuous improvement in teaching, learning, research and industry engagement, while providing our students with the knowledge, skills and confidence required to contribute effectively to society and the rapidly evolving technological landscape.

I invite our students, faculty, industry partners, alumni and all stakeholders to join us in this journey of continuous improvement, innovation and excellence.

“Educate to Innovate. Innovate to Lead. Lead to Transform.”

Prof. Dr. Santaji K. Shinde
Director
School of Engineering & Technology
Sanjay Ghodawat University, Kolhapur

About Department

HOD'S Desk

It gives me immense pleasure to welcome you to the Department of Artificial Intelligence & Machine Learning (AIML) at Sanjay Ghodawat University.

The future belongs to those who are willing to learn, adapt, innovate and create. AI and Machine Learning are transforming every sector, and our responsibility is to prepare our students to become confident professionals and innovators who can shape this transformation.

At the Department of AIML, we focus on student-centric, outcome-based and experiential learning, combining strong fundamentals with hands-on experience in Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Generative AI, Natural Language Processing, Computer Vision, Robotics and emerging technologies.

We encourage every student to question, explore, experiment and learn beyond the classroom through projects, internships, industry interaction, technical activities, research and innovation.

More importantly, we want our students to develop not only technical competence, but also creativity, communication, leadership, ethical values, teamwork and the confidence to face real-world challenges.

Every student who enters our department brings a unique dream and potential. Our commitment is to provide the knowledge, mentorship, opportunities and environment that help transform those aspirations into achievement.

I encourage our students to embrace every opportunity, learn continuously, take calculated risks, learn from failures and never stop improving.

“Learn. Explore. Innovate. Lead.”

Dr. Santaji Shinde
Head of Department of Artificial Intelligence & Machine Learning
Sanjay Ghodawat University, Kolhapur

Vision

To be a leading department in AI and ML through fostering academic excellence, innovative research, and entrepreneurial skills to create globally recognized professionals.

Mission

To provide a robust curriculum and hands-on learning in AI and ML that enhances academic excellence.
To provide mentorship and resources that support student-led research, startups, and innovative projects, fostering a culture of entrepreneurship.
To collaborate with industry partners and research institutions, offering students exposure to cutting-edge technologies in AI and ML.
To encourage students for lifelong learning and adaptability in the AI and ML world.

PEO, PO and PSO

Program Educational Objectives (PEOs)

Program Outcomes (POs)

Program Specific Outcomes (PSO)

Program Educational Objectives (PEOs)

To prepare students for placement ,higher education, research and development (R&D) in AI and ML by providing value-based quality education.
To develop students to work on multidisciplinary projects with teamwork, effective communications skills and ethical principles.
To cultivate students to provide acceptable solutions to real world problems utilizing problem-solving skills, knowledge of mathematics and engineering fundamentals.
To expose students to emerging AI and ML technologies and provide ample opportunities to work on interdisciplinary projects, enhancing teamwork, leadership, and effective communication skills.

Program Outcome (POs)

Engineering knowledge : Apply the knowledge of mathematics, science, engineering fundamentals, and specialized AI and ML principles to solve complex engineering problems.
Problem analysis : Identify, formulate, and analyze complex engineering problems using data-driven methods, AI/ML algorithms, and first principles of mathematics, natural sciences, and engineering sciences.
Design/development of solutions : Design innovative solutions for complex engineering problems and develop system components or processes that meet specified needs, considering public health and safety, as well as cultural, societal, and environmental factors.
Conduct investigations of complex problems : Utilize research-based knowledge and methodologies, including experimental design, data analysis, and information synthesis, to provide valid conclusions.
Modern tool usage Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including AI/ML modeling and prediction, to complex engineering activities, understanding their limitations.
The engineer and society : Apply contextual knowledge to assess societal, health, safety, legal, and cultural issues, understanding the responsibilities relevant to professional engineering practice.
Environment and sustainability : Understand the impact of professional engineering solutions in societal and environmental contexts, demonstrating knowledge of, and commitment to, sustainable development.
Ethics : Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.
Individual and team work : Function effectively as an individual, and as a member or leader in diverse teams and multidisciplinary settings.
Communication : Communicate effectively on complex engineering activities with the engineering community and society at large, including comprehending and writing effective reports and design documentation, making effective presentations, and giving and receiving clear instructions.
Project management and finance : Demonstrate knowledge and understanding of engineering and management principles and apply these to one's work, as a member and leader in a team, to manage projects in multidisciplinary environments.
Life-long learning : Adapt to rapid advancements in AI/ML technologies, tools, and ethical standards through continuous learning and skill development

Program Specific Outcomes(PSOs)

PSO 1 : Develop and deploy AI/ML solutions using industry-standard tools, frameworks, and technologies.
PSO 2 : Apply AI/ML concepts with core computing domains to solve real-world and futuristic challenges.

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About School Of Engineering & Technology

Director’s Desk

I invite our students, faculty, industry partners, alumni and all stakeholders to join us in this journey of continuous improvement, innovation and excellence.

“Educate to Innovate. Innovate to Lead. Lead to Transform.”

Prof. Dr. Santaji K. Shinde
Director
School of Engineering & Technology
Sanjay Ghodawat University, Kolhapur