B.E., Computer Science and Engineering (Artificial Intelligence and Machine Learning

Vision :

• To build globally competent industry-ready graduates in the field of Artificial Intelligence and Machine Learning to solve societal problems through creative thinking and entrepreneurship skills with values and ethics.

Mission :

• To develop competent industry-ready professionals with right attitude, values and ethics.
• To inculcate innovation and creativity through experiential learning with the modern infrastructure and technologies.
• To promote research, innovation and entrepreneurial skills through industry and academic collaboration.
• Foster the spirit of lifelong learning in students through practical and social exposure beyond the classroom.

PROGRAMME EDUCATIONAL OBJECTIVES (PEO_s)

• PEO1: To build highly skilled graduates equipped with a strong knowledge in Artificial intelligence and Machine learning (AIML) for creating innovative solutions to society’s pressing challenges.
• PEO2: To Exhibit professional and ethical mentality and address challenges with social awareness, demonstrates cooperation, communication and leadership skills.
• PEO3: To engage in constructive research, professional development and life-long learning to conversant with emerging technologies.

PROGRAMME  SPECIFIC  OUTCOMES (PSO_s)

• PSO1: Demonstrate the knowledge of Artificial Intelligence and machine learning for designing and developing intelligent systems for effective decision making in several domains.
• PSO1: Interpret, analyze, design and implement Artificial Intelligence driven solutions using learning algorithms and methodologies to serve society.

Programme Outcomes (PO_s)

• Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
• Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
• 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.
• 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.
• 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.

S.No.	NAME OF THE FACULTY	QUALIFICATION	DESIGNATION
1	Mrs. MEENA V	B.TECH.,M.E.,	ASSISTANT PROFESSOR
2	Mrs. REVATHI S	B.TECH., M.TECH.,	ASSISTANT PROFESSOR
3	Mrs. JAYASUTHA P	B.TECH.,M.E.,	ASSISTANT PROFESSOR
4	Mr. SUGANPRIYAN S	B.E., M.E.,	ASSISTANT PROFESSOR
5	Mr. DIVYA BHARATHI G	B.E., M.E.,	ASSISTANT PROFESSOR
6	Mrs. YAAZHINI M A	B.E., M.E.,	ASSISTANT PROFESSOR

S.No.	NAME OF THE FACULTY	NO.OF PUBLICATION
1	Mrs. MEENA V	5
2	Mrs. REVATHI S	3
3	Mrs. JAYASUTHA P	9
4	Mr. SUGANPRIYAN S	6
5	Mr. DIVYA BHARATHI G	6
6	Mrs. YAAZHINI M A	1

S.No.	TYPE OF THE EVENT	DATE	EVENT NAME	RESOURCE PERSON
1	Workshop	30.01.2024 & 31.01.2024	Augment Reality and Virtual Reality	Mr.Jebaraj, 3D Generalist, Arena Animation, Erode
2	Seminar	06.11.2023	My Story – Motivational by Successful Entrepreneur	Dr. A.Aravind, Proprietor , A.R.Engineering, Hosur.
3	Hands on Training	16.10.2023  &  17.10.2023	Artificial Intelligence and Data Science	Mr.Ranjit  Prasath Sivakumar, Team Leader, Imagecon India Pvt Ltd, Bangalore, Karnataka
4	Seminar	10.08.2023	Machine Learning for Real Time Applications & Recent Trends and Advancements in Social Media & Journalism	Dr. Miguel Garcia Torres , Universidad Pablo de Olavide, Spain Prof. Olga Granado, University of Seville, Spain

Department of Artificial Intelligence and Machine Learning
Mahendra Institute of Technology
Salem- Thiruchengode Highway,
Mahendhirapuri,
Mallasamudram,
Namakkal-637503,
Phone: 04288 325 777