ABOUT THE DEPARTMENT
To face the intelligent analysis of the numerous real world applications and problems, students require the skills from both Artificial Intelligence and Data science. Since intelligence is beyond universe and the data is the new oil, the combination of both makes a powerful combination for the present era. Data has always been a crucial part of life, and thus in the recent times it has come under a highlight as one of the most lucrative careers. This course is not limited to just artificial intelligence and data science but gathers the scope with data mining, modeling, machine learning and big data analytics to name a few. The career opportunity is vast for the one equipped with the intelligence and data skills, namely in healthcare, IT industry, biotechnology, business and others.
VISION OF DEPARTMENT
To deliver a quality and responsive education in the field of artificial intelligence and data science emphasizing professional skills to face global challenges in the evolving IT paradigm.
MISSION OF DEPARTMENT
- Leverage multiple pedagogical approaches to impart knowledge on the current and emerging AI
technologies. - Develop an inclusive and holistic ambiance that bolsters problem solving, cognitive abilities and critical thinking.
- Enable students to develop trust worthiness, team spirit, understanding law-of-the-land, social
behavior to be a global stake holder
HOD'S MESSAGE
Welcome to the Department of Artificial Intelligence and Data Science. AI and DS is the skill of the century and has had a massive impact on the society. AI and DS have seen enormous progress and significant breakthrough innovations in practically every field over the last decade. Keeping this in mind, the AI and DS Department was established in the year 2020 with the aim of providing leadership in the field of AI & DS Engineering with an intake of 60 students. The Department is focused on delivering innovative and high-quality technical education in the field of Artificial Intelligence and Data Science. We use the most efficient teaching strategies and promote an inquisitive ethos among the students. We have an outstanding team of talented, and skilled faculty members that are passionate about enhancing students’ learning experiences. It is our constant endeavor to give a strong foundation in areas of computer engineering along with cross disciplinary skills like statistics, mathematical and logical reasoning, knowledge discovery, visualization, big data analytics etc., to our students Aside from cutting-edge curriculum, significant focus has been placed on building a research oriented environment and expanding students’ experiential learning through value-added courses, skill-development programs, and participation in various training programmes offered by reputable organizations and individuals. Students are encouraged to embrace a “desire to learn” culture by the Department. As the Head of department, I am confident that our students will be well-prepared to meet the new and exciting challenges that this new digital era brings.
Prof. Sagar Birje
HOD, AI & DS
Program Educational Objectives (PEOs)
PEO1 : Build a strong foundation in mathematics, core programming, artificial intelligence, machine learning, and data science to enable graduates to analyze, design, and implement intelligent systems for solving complex real-world problems.
PEO2 : Foster creativity, cognitive and research skills to analyze the requirements and technical specifications of software to articulate novel engineering solutions for an efficient product design.
PEO3 : Prepare graduates for dynamic career opportunities in AI and Data Science by equipping them with interdisciplinary knowledge, adaptability, and practical exposure to tools and techniques required for industry and research.
PEO4 : Instill a strong sense of ethics, professional responsibility, and human values, empowering graduates to contribute positively to society and lead with integrity in their professional domains.
PEO5 : Encourage graduates to pursue higher education, certification program, entrepreneurial ventures, etc. by nurturing a mindset of continuous learning and awareness of global trends and challenges.
Program Outcomes (POs)
PO 1: Engineering Knowledge: Apply the Knowledge of Mathematics, Science, Engineering Fundamentals, and an Engineering specialization to the solution of complex Engineering problems.
PO 2: 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.
PO 3: 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 conditions.
PO 4: Conduct investigations on complex problems: Use research based knowledge and research methods including design of Experiments, analysis and interpretation of data, and synthesis of Information to provide valid conclusions.
PO 5: Modern tool usage: Create, select, and apply appropriate technique, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
PO 6: The Engineer and Society: Apply reasoning informed by the contextual knowledge to assess society, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
PO 7: 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.
PO 8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO 9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO 10: 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.
PO 11: 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.
PO 12: Lifelong 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.
Program Outcomes (PSOs)
PSO 1: To apply core knowledge of Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Big Data Analytics and Statistical Learning to develop effective solutions for real-world problems.
PSO 2: To demonstrate proficiency in specialized and emerging technologies such as Natural Language Processing, Cloud Computing, Robotic Process Automation, Storage Area Networks and the Internet of Things to meet the stringent and diverse professional challenges.
PSO 3: To imbibe managerial skills, social responsibility, ethical and moral values through courses in Management and Entrepreneurship, Software Engineering Principles, Universal Human Values and Ability Enhancement Programs to meet the industry and societal expectations.
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