ANNOUNCEMENT

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING


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The Department of CSE (Artificial Intelligence & Machine Learning) at East Point College of Engineering and Technology (EPCET), established in 2023 and the Institute is affiliated with VTU, Belagavi. Department offers a four-year B.E. program with 60 student intake. Its mission is to provide students with a strong foundation in artificial intelligence, Machine learning, computer science, programming, and emerging technologies. The curriculum covers a wide range of subjects, including artificial intelligence, programming languages, algorithms, operating systems, machine learning, Natural Language Processing & Generative AI . The department has well-equipped labs, and a dedicated faculty involved in research and teaching.

About the program

Year of Establishment - 2023-24
Name of the Program offered - BE- CSE (Artificial Intelligence & Machine Learning)
Intake - 60

Program Specific Outcomes (PSOs):

PSO 1. Adapt, contribute and innovate new technologies in computing profession by working in teams to design, implement, and maintain in the key domains of Artificial Intelligence & Machine Learning.

PSO 2. Apply the skills in the areas of Health care, Education, Agriculture, Environment, Smart Systems & in the multi-disciplinary area of Artificial Intelligence & Machine Learning.

PSO 3. Develop many successful applications based on Machine Learning methods, AI methods in different fields, including Neural networks, Natural Language Processing, Generative AI and data Analytics.

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

To develop competent professionals in the field of Artificial Intelligence and Machine Learning to serve best to the society.


MISSION

M1. To achieve academic excellence through innovative teaching-learning practices that will best serve the society.
M2. To nurture successful Computer Science Engineering graduates with a specialization in AI&ML with professional responsibilities and commitment to lifelong learning.
M3. To establish Center of Excellence in areas of Computing, Artificial Intelligence & Machine Learning to inculcate strong ethical values, applied research capabilities.

Program Educational Objectives (PEOs)

PEO 1 : To enable students to build Intelligent Machines and applications with a cutting – edge combination of machine learning, analytics and visualization.
PEO 2 : To enable technocrats to pursue higher education and research, and have a successful career in industries related to AIML.
PEO 3 : To produce graduate professionals with ethics, who will contribute to industrial growth and social transformation as responsible citizens.


HoD’s Message

Welcome to the Department of CSE (Artificial Intelligence and Machine Learning) at East Point College of Engineering & Technology.

The field of AI and ML is rapidly transforming industries, redefining careers, and creating unprecedented opportunities in technology and innovation. Our department is committed to equipping students with the knowledge, skills, and mindset to lead in this exciting and evolving domain.

At East Point College of Engineering & Technology, we offer a robust curriculum designed to blend foundational computer science principles with cutting-edge advancements in AI and ML. Beyond theoretical concepts, we emphasize hands-on learning, research, and industry collaboration to ensure our students are ready to solve real-world challenges.

AI & DS HoD

Dr. Vedavathi G R

Professor & I/C Head

Our dedicated faculty members bring a wealth of academic and industry expertise to foster a nurturing environment for learning, innovation, and exploration. We take pride in our state-of-the-art infrastructure, labs, and collaborative projects, which empower students to excel in both academic and professional spheres. To bridge the gap between industry and academia a number of courses are offered through Industry Institute Integrated Learning programs. Students are trained in life-skills focusing on communication skills, behavioural skills, ethics, and human rights and environmental aspects.

We actively encourage students to engage in hackathons, workshops, internships, and research initiatives that build critical thinking, teamwork, and creativity. By fostering an environment of innovation and continuous learning, we aim to shape the next generation of leaders in AI and ML.

I invite you to explore the opportunities and resources our department offers and join us on this remarkable journey toward creating a better future through technology.

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