M Kumarasamy College of Engineering (MKCE) proudly launches an innovative B.Tech - Artificial Intelligence and Machine Learning (AI & ML) Programme during the academic year 2021-22. AI & ML program provides you with a sound knowledge of Artificial Intelligence and machine learning principles and applications in scientific and engineering domains. Combining machine learning with AI and cognitive technologies of computer science more effectively, the students will apply the knowledge of science, mathematics and computer science & engineering to identify and solve complex engineering problems across a broad range of application areas.

Duration:
4 years (Regular) / 3 years (Lateral Entry)

No. of Semesters:
8 (Regular) / 6 (Lateral Entry)

No. of Seats:
Total - 60 ( NRI Approval Status - Yes , PIO / FN / GULF quota / OCI Approval Status - No)

Eligibility:
10+2 system of Education. Must have secured a pass in Physics, Chemistry and Mathematics in the qualifying examination.

Scope for Higher Studies:
M.E. / M.Tech. / M.B.A./ M.S.

The career path you can choose after the course
AI Engineer.
Machine Learning Engineer.
Robotic Scientist.
Research Scientist.
Computer Vision Engineer.

Vision

To create highly qualified competitive professionals in Artificial Intelligence and Machine Learning by designing intelligent solutions to solve problems in variety of business domains, applications such as natural language processing, text mining, robotics, reasoning and problem -solving that serves society with greater cause.

Mission

M1: Impart practical and technical knowledge along with applications of various integrated technologies.

M2: Design and develop various intelligent engineering projects to solve societal issues.

M3: Use of advanced engineering tools and equipment to enable research based learning to promote ethical values, lifelong learning and entrepreneurial skills.

Program Educational Objectives(PEO)

PEO1: Develop intelligent software solutions demonstrating reasoning, learning and decision support while handling uncertainty using domain knowledge.

PEO2: Create significant research towards social benefits and engineering improvement with a wide breadth knowledge of AI & ML technologies and their applications.

PEO3: Participate in life-long learning for effective professional growth and demonstrate leadership qualities in disruptive technologies along with a capacity to critically analyse and evaluate design proposals.

Program Outcomes(PO)

PO1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO2: 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.

PO3: 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.

PO4: 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.

PO5: Modern tool usage: 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.

PO6: 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.

PO7: 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.

PO8: 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.

PO10: 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.

PO11: 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.

PO12: 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.

Program Specific Outcomes(PSO)

PSO1: Utilize multidisciplinary knowledge along with Artificial intelligence and Machine Learning Principles to create innovative solutions for the development of society.

PSO2: Graduates will use Information and Communication Technology (ICT) tools and techniques to attain advance knowledge to exhibit state of the art technologies to overcome the demand of sustainable development to meet future business and society needs.