Dr. Rajashree V Biradar

Prof. & HOD

Department of CSE - Artificial Intelligence

As the Head of the Computer Science & Engineering (Artificial Intelligence) department, I want to extend my warmest greetings to all students enrolled in our program. Our department stands at the forefront of innovation, where we explore the ever-expanding frontiers of Artificial Intelligence (AI) and its applications in diverse fields.

CSE (Artificial Intelligence) department is stared in the academic year 2022-23 with the intake of 60. Subsequently in the academic year 2023-24, the intake has been increased to 120.Here at BITM, we offer a rigorous curriculum that blends the fundamentals of computer science with cutting-edge AI and Machine Learning (ML) techniques. You'll gain hands-on experience through coursework, projects, and potential internships, tackling real-world problems in areas like computer vision, natural language processing, robotics, and intelligent systems.

AI is not just a subject of study; it's a powerful tool that has the potential to revolutionize industries, improve lives, and solve some of the world's most pressing challenges. In our program, we strive to provide you with a comprehensive education that combines theoretical foundations with hands-on experience, enabling you to become proficient in the development and deployment of AI systems.

Our dedicated faculty consists of passionate researchers and industry experts who are committed to fostering your intellectual growth. They will guide you in developing the critical thinking, problem-solving, analytical, and research skills essential for success in AI. We also emphasize ethical considerations in AI development, ensuring you become responsible innovators who shape technology for a positive impact.

Finally, I want to remind you that your education extends beyond the classroom. Take advantage of research opportunities, internships, and extracurricular activities to deepen your understanding and broaden your skills. Collaborate with your peers, engage with faculty mentors, and immerse yourself in the vibrant community of AI enthusiasts.

Welcome again, and let's embark on this incredible exploration of Artificial Intelligence together!

VISION AND MISSION OF THE DEPARTMENT

Vision:

To contribute AI experts for global industries and organizations, fostering innovation while upholding social responsibility and ethical practices.

Mission:

• To nurture student with cutting-edge expertise through project based learning approaches.
• To foster industry-relevant design and development skills.
• To promote a culture of innovation and leadership skills while emphasizing ethical principles.

 

PEO-1: To harvest proficient AI professionals, contributing to major technological advancements and solutions in renowned companies or research institutions.

PEO-2: To exhibit professionalism through ethical innovation and leadership skills while encouraging interdisciplinary collaborations to address societal challenges.

PEO-3: To develop the ability to launch thriving AI based start-ups, and businesses across the world.

Program outcomes (POs)

PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO2: Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using the 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 public health and safety, and 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 modeling to complex engineering activities with an understanding of the limitations.

PO6: The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal & cultural issues and the consequent responsibilities relevant to the professional engineering practice.

PO7: Environment and sustainability: Understand the impact of 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 & 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 multi-disciplinary 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 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 & life-long learning in the broadest context of technological change.

Labs held in odd and even semesters:

• DS lab
• OS lab
• DBMS lab
• C & C++ lab
• Algorithms lab
• AI lab
• R programming
• Python programming