ANNOUNCEMENT

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE


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The Department of Artificial Intelligence and Data Science was established in the year 2021 with a vision of exploring the emerging trends in the domain of AI and training the students as professionals who can excel in the field and help for the betterment of the society. The Department has a team of well qualified and experienced faculty members who deliver the required skills to the students through a 360o teaching-learning environment. The faculty members are dedicated to impart not only the curriculum based formal education but also teaches beyond the curriculum to make the students ready for the upcoming challenges in the market. The Department faculty members have a good interest in research and have several publications in reputed journals, conferences and multiple patents to their name.

The students of the Department are continuously mentored and motivated by the faculty members for the continuous improvement and participation in different activities. The students are motivated not only for academic excellence but also for the research & development. Also, the students are facilitated with the placement training sessions for a better opportunity.

PSO:

PSO 1. To cater and enhance the analytical and technical skills of the graduates in order to be ready for the professional development, research and pursue higher education.

PSO 2. To formulate solutions for the real-world problems with the application of basic engineering principles and technical skills of Artificial Intelligence and Data Science.

Program Offered

  1. Under Graduate
    2. B.E.- Artificial Intelligence and Data Science
    • Program Overview

      • The Department of Artificial Intelligence and Data Science was established during the year 2021. The department offers BE program in “Artificial Intelligence and Data Science” with an intake of 60 students. The inaugural admissions for this program were successfully concluded in December 2021. Notably, the program holds approval from the All India Council for Technical Education (AICTE), and graduates receive their degrees from Visvesvaraya Technological University, Belgaum. The department has been diligent in the creation of essential classrooms, cutting-edge laboratories, and spacious seminar halls to facilitate an enriching learning environment with sufficient volumes of books in the library. With a commitment to excellence, the department is actively attracting top-tier talent for both teaching and research roles.

    • Program Duration – 4 Years / 8 Semesters
    • Eligibility Criteria

      • To be eligible for enrollment in the 4-year Bachelor of Engineering programs at Visvesvaraya Technological University, candidates must meet the following criteria:

      1. Successful completion of the two-year Pre-University Examination (Science) administered by the Karnataka State Pre-University Board or any other examination recognized by the University as equivalent.
      2. Attainment of a minimum aggregate score of 45% in three core subjects: Physics, Mathematics, and one of the following subjects - Chemistry, Computer Science, Biology and Electronics.
      3. Relaxation in the aggregate score requirement is applicable for specific categories:
        • 40% for candidates belonging to SC/ST SC/ST and OBC candidates from Karnataka.

      Meeting these eligibility requirements is essential for admission to the Bachelor of Engineering courses offered by Visvesvaraya Technological University.

      Admission to II year/ III semester Bachelor Degree in Engineering/ Technology (Lateral Entry) shall be open to the candidates who are holders of a diploma or equivalent qualification as recognized by university who have secured not less than forty-five percentage (45%) marks in the final year examination (fifth and sixth semesters) in the appropriate branch of engineering. Provided that, in case of SC/ST and OBC candidates from Karnataka, the minimum marks for eligibility shall be forty percent (40%). Provided further that, all the candidates seeking lateral entry shall also clear prescribed bridge courses as specified by the University.

    • Affiliation & Approvals

      • EPCET is affiliated to VTU, Belagavi, approved by AICTE & Recognized by Government of Karnataka

    • Career opportunities
      • Intelligent systems developer and analyst.
      • Artificial Intelligence Engineer.
      • Business Intelligence Developer and Analyst.
      • Robotics specialist.
      • Specialist in machine learning.
      • Data Analyst
      • Data Engineer
      • Big Data Engineer
      • Data Scientist
    • Scheme and Syllabus

PROGRAM OUTCOMES:


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

  2. Problem analysis: Identify, formulate, review research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

  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 considerations.

  4. 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.

  5. 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.

  6. 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.

  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.

  8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

  9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

  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.

  11. 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.

  12. 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.

VISION

The department orients towards identifying and exploring emerging global trends in the fields of Artificial Intelligence and Data Science through academic excellence and quality research, producing proficient professionals for a flourishing society.


MISSION

M1. To nurture students with quality education, life-long learning, values and ethics.
M2. To produce ethical and competent professionals through comprehensive and holistic methodologies that align with the global industry demands in Artificial Intelligence and Data Science.

Program Educational Objectives (PEOs)

PEO 1 : Graduates will possess the ability to apply their knowledge of fundamental engineering, Computer Science and Data Science.
PEO 2 : Graduates will have sound intercommunication skills, ethical values and responsibilities to work and serve for the development of the society.
PEO 3 : Graduates will be able to understand, interpret, model and implement the Artificial Intelligence and Data Science based solutions for real world problems.


HoD’s Message

Welcome and greetings to the Department of Artificial Intelligence and Data Science at EPCET!

I am delighted to welcome you to the Department of Artificial Intelligence and Data Science. It is with great enthusiasm that I lead this department, and I am committed to guiding our, academic community toward excellence in the dynamic and transformative fields of Artificial Intelligence and data science.

Artificial Intelligence and Data Science are characterized by rapid advancements, offering transformative opportunities across industries and domains. As these technologies continue to evolve, their integration into our daily lives will become increasingly seamless and impactful. However, it is crucial to address ethical and regulatory considerations to ensure their responsible and beneficial deployment. The present and future technologies are offering in field of Artificial Intelligence and Data Science in different sectors such as Automation and Efficiency, Data-Driven Decision Making, Personalization, Healthcare Advancements, Autonomous Systems, AI Augmentation, AI Education, Ethical AI, AI in Creativity, AI in Sustainability, AI in Sustainability, AI in Edge Computing and More.

AI & DS HoD

Dr. Anand R

HOD

Our department is dedicated to providing you with a world-class education, equipping you with the skills and knowledge required to excel in this rapidly evolving technological landscape. As we delve into the realms of artificial intelligence, machine learning, data analysis, and more, you will have the opportunity to explore cutting-edge technologies and methodologies that are reshaping industries and societies worldwide.

Our esteemed faculty members are experts in their respective fields, and they are passionate about sharing their expertise with you. Through their guidance, you will not only gain a deep understanding of theoretical concepts but also engage in practical, hands-on experiences that will prepare you for real-world challenges.

Furthermore, our commitment extends beyond the classroom. We encourage collaboration, innovation, and ethical considerations in all your endeavors. The skills you acquire here will not only empower you in your future careers but also enable you to make a positive impact on society.

The Department invite you to embrace this educational journey with curiosity, dedication, and a commitment to lifelong learning. Together, we will explore the frontiers of AI and data science, creating a brighter future for all.

I look forward to witnessing your growth and success during your time in our department.

Best regards,

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