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 accomplish outstanding standards of quality education and global recognition in the area of Artificial Intelligence and Data Science through innovation and research excellence for serving societal needs.
MISSION OF DEPARTMENT
- To develop competent and industry-ready professionals skilled in the area of Artificial Intelligence and Data science
- To Enrich and Empower skills and values that benefit and serve the needs of the society.
- To build a conducive environment aiming for research and entrepreneurship in order to meet global challenges.
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.
Program Educational Objectives (PEO's)
PEO1 : Develop and outshine in their chosen profession on technical aspect and aim towards progressing in advanced trending education or Inter-disciplinary Research and Entrepreneurship.
PEO2 : Become a reputed innovative problem solver proficient in solving complex system problems or towards research or challenges pertinent to Artificial Intelligence and Machine learning.
PEO3 : Advance as skilled team members accomplishing leadership abilities with trust and professional ethics, proactive citizens for progress and complete welfare of the society.
Program Outcomes (PO's)
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.