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About The Department

The Department of Artificial Intelligence & Data Science at Jyothi Engineering College was established in 2020 and is affiliated with KTU University, marking it as one of the first departments to introduce this course. Here, we seamlessly integrate Computer Science fundamentals with the cutting-edge realms of AI and Data Science.

Our accomplished faculty, seasoned experts in both AI and Computer Science, ensure a well-rounded education, bringing a perfect blend of theoretical knowledge and practical industry insights to offer students a holistic understanding of technology in our dynamic department.

Immerse yourself in a dynamic learning environment at our department, where well-established labs, equipped with state-of-the-art technology, cater to both Computer Science and AI requirements. Benefit from air-conditioned classrooms fostering academic excellence, ensuring mastery of fundamentals while staying at the forefront of technological advancements. Engage in groundbreaking research projects led by faculty members excelling in both AI and Computer Science, showcasing our commitment to innovation and offering diverse exploration, from classic algorithms to the latest advancements in artificial intelligence.

Join student associations and professional bodies providing a platform for collaboration, workshops, and networking opportunities. At Jyothi Engineering College, we believe in nurturing well-rounded professionals equipped with a robust foundation in Computer Science and the specialized skills needed in the AI landscape.

We are bridging the gap between academia and industry for providing our students with enhanced placement opportunities. Your journey in the Department of Artificial Intelligence & Data Science encompasses the best of both worlds – a solid foundation in Computer Science and the dynamic possibilities of AI. Embrace a future where innovation meets tradition, and success knows no boundaries.

Message From HOD

BINEESH M

Welcome to the Department of Artificial Intelligence & Data Science at Jyothi Engineering College!As the Head of the department, it is my privilege to lead a team of dedicated faculty members who are not only experts in their respective fields but are also committed to providing an exceptional learning experience. Our goal is to prepare students for the rapidly evolving technological landscape by providing a strong foundation in Computer Science principles and immersing them in the exciting domains of Artificial Intelligence and Data Science.

We foster a culture of active student involvement by encouraging participation in research projects, engagement with student associations, and connections with professional bodies dedicated to AI and Computer Science. Additionally, our department organizes expert talks, workshops, hackathons, and other technical events, providing valuable experiences. Through our holistic education approach, these experiences empower our graduates to excel in both academia and industry, ensuring a well-rounded and successful journey beyond the classroom.

Best regards,
BINEESH M
HOD
Department of Artificial Intelligence & Data Science
Jyothi Engineering College

Vision

Strengthening basic competencies in the domains of Artificial Intelligence and Data Science. Providing high-quality, value-based technical education and developing technology professionals with creative ideas and compelling leadership abilities. Using logical thinking to create and develop cutting-edge products in collaboration with industry stakeholders in order to meet global expectations and requirements. Enabling graduates to adapt to new technologies via strong fundamentals and lifetime learning

Mission

Creating ethical leaders in the domain of Artificial intelligence and data Science through effectual teaching and learning process to develop emerging technology solutions for the benefits of industry and society with a focus on holistic learning and excellence.



Course
Programme Educational Objectives

  1. PEO1: To disseminate in-depth technical knowledge in the field of artificial intelligence.
  2. PEO2: To gain a broad grasp of computer science and engineering at many abstraction levels, including computer architecture and design, operating systems, database management, algorithms, and applications.
  3. PEO3: To provide students with a solid foundation in math and engineering foundations, which will enable them to examine and assess real-world engineering challenges connected to data science and artificial intelligence, as well as to further prepare them for further education and R&D.
  4. PEO4: To inspire students, a desire to learn for the rest of their lives and to make them aware of their professional and societal responsibilities.
  5. PEO5: To inculcate in students an awareness of how to use their computer engineering and mathematical theory skills to addr

Course
Programme Specific Outcomes

  • The students upon completion of Programme will be able:
  1. PSO1: Understand and develop computer programs in the areas related to algorithms, system software, multimedia, web design, big data analytics and networking by identifying, demonstrating and analyzing the knowledge of engineering in efficient design of computer-based systems of varying complexity.
  2. PSO2: Applying algorithmic principles, innovative Computer science and engineering design and implementation skills to propose optimal solutions to complex problems by choosing a better platform for research in AI and data science.
  3. PSO3: Identify standard Software Engineering practices and strategies by applying software project development methods using open-source programming environment to design and evaluate a quality product for business success.
  4. PSO4: Demonstrate and examine basic understanding of engineering fundamentals, professional/social ethics and apply mathematical foundations to design and solve computational problems.



Course
Programme Outcomes

Students in the programme at the time of their graduation are expected to possess the following capabilities:

  1.  Ability to apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  2.  Ability to Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  3.  Ability to 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.  Ability to 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.  Ability to 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.
  6.  Ability to 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.  Ability to understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
  8.  Ability to apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  9. Ability to function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings
  10.  Ability to 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.  Ability to 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.  Ability to 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.

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