B.E – CSE – Artificial Intelligence and Machine Learning

About the Department

The Paavai Engineering College offers four year under-graduate B.E.,AI&ML course with specialization in Artificial Intelligence and Machine Learning. The UG program’s objective is to create exceptionally well AI and ML engineers who will transform the world through creative AI and ML solutions. This course is designed to the students who are looking for bright career and challenging jobs in industrial world. AI and ML engineers are the highly paid professionals in the world and there is a tremendous demand of AI & ML experts in most of areas which needs transformation.

Along with courses that provide specialization in AI, students will also have options to explore some applied domains such as computer vision, natural language processing, robotics, data analytics, and computer security. This enables the B.E. in AI graduates to take up careers in R&D positions in Industry, academia, and research laboratories. The 4-year undergraduate program is divided into 8 semesters, with each year containing 2 semesters.

The department Is typically staffed with experienced faculty members who specialize in AI and ML. These professors and instructors have expertise in various subfields and can provide guidance and mentorship to students pursuing their academic and research interests.

To facilitate hands-on learning and experimentation, the department maintains well-equipped laboratories and infrastructure. These facilities often include high-performance computing systems, IoT development kits, sensors, and software tools required for AI and ML projects.

The Department of AI & ML actively collaborates with industry partners and organizations. This collaboration provides students with opportunities for internships, industry projects, and guest lectures from experts in the field. It also helps in aligning the curriculum with the latest industry trends and requirements.

Vision and Mission

Vision

To provide quality technical education and prepare the students to become sustainable well qualified Engineers competent to face global challenges and to serve the society by acquiring adequate professional knowledge and skills by training.  

Mission

  • Quality Education: To produce innovative, competent and goal-oriented computer science engineers through cutting-edge technology and educational experience.
  • Technology Updation: To enrich the knowledge of students by imparting state-of- the- art technology so that they will satisfactorily serve the society.
  • Employability: To improve the employability of students through Industry-Institution relationship and make them industry ready.
  • Research & Development: To widen the knowledge of the faculty members continuously through research and development initiatives.

PEO, PO & PSO

Programme Educational Objectives (PEOs)

PEO1

Global reputation

To create value added, disciplined, high profile Computer Science and Engineering professionals for successful careers in their related Industry that makes them globally reputed.

PEO2

Fundamental Knowledge

To develop the students with a sound foundation in mathematical, scientific and engineering fundamentals necessary to synthesize the technical core concepts focusing on skill development and knowledge up gradation which will lead to technical innovations.

PEO3

Continuous learning To practice and demonstrate the ability to use the domain knowledge and expertise through periodic assignments performances and projects to continuously prove the functionality of computer science and engineering learning in social and environmental aspects and to make allowances for further improvements.

Programme Outcomes (pos) Engineering Graduates will be able to:

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 analyse 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 modelling 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 and need for sustainable development.

PO8

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

PO9

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 multi disciplinary 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.

Programme Specific Outcomes (PSOs)

PSO1

Foundation of Computer System and Software development: Ability to understand the principles and working of computer systems for the development of software solutions.

PSO2

Applications of Computing and Research Ability: Ability to use knowledge in various domains to identify research gaps and hence to provide solution with new ideas and innovations.

Head of the Department

Dr.P.Srinivasan,
HOD,
Department of Artificial Intelligence and Machine Learning

Dr. P. Srinivasan has been serving as a Professor and Head of the Department of Computer Science and Engineering (AI and ML) at Paavai Engineering College since June 2023. Before this, he held several notable academic and administrative roles, including Professor and Head of the Department of Artificial Intelligence and Data Science at Muthayammal Engineering College and Coordinator for NBA and NAAC from 2005 to 2023. He earned his Ph.D. in Computer Science and Engineering from Anna University, following his Master’s and Bachelor’s degrees in the same field.

Professionally, Dr.P. Srinivasan completed a research project funded by the Tamil Nadu State Council for Science and Technology (TNSCST) and received seminar grants from the DST (SERB) and ISTE for advancements in Artificial Intelligence technology.

Dr.P. Srinivasan’s research interests include Machine Learning, Deep Learning, Data Science, and Computer Vision. His current pioneering research focuses on Artificial Intelligence in agriculture and Deep Learning for crop health care. He actively shares his knowledge through seminars, workshops, and guest lectures at various esteemed forums. He has authored over 28 research articles in international journals, published 25 papers at international conferences, and guided four research scholars as a Doctoral Committee (DC) member, promoting academic excellence within the AI department.

Beyond academia, Dr.P.Srinivasan is a lifetime member of nine professional societies, has received two awards from prominent professional organizations, and holds several certifications. He has secured nine patents from his research. As of 2024, his work has garnered over 96 citations on Google Scholar, with an h-index of 3 and an i10-index of 2.

Laboratory Facility

S.NoName of The EquipmentQuantityConfiguration
1Computers (Make : WIPRO)

60Model : WIPRO-Evolv-E7600 CPU : Core2 Duo 3.06GHz RAM : 2GB HDD : Sata320 Speed : 3.06 GHz Monitor : 19.5”TFT Keyborad, Optical Mouse
2Computers (Make :HP)

60Model : HP-DC5800-E7500 CPU : Dual Core Duo 3.06GHz RAM : 2GB HDD : Sata250 Speed : 3.06 GHz Monitor : 19.5”TFT Keyborad, Optical Mouse
2Computers (Make :HP)

60Model : HP-DC5800-E7500 CPU : Intel i7 11th Gen 3.06GHz RAM : 8GB SSD : 512 Speed : 3.06 GHz Monitor : HP 21”TFT Keyborad, Optical Mouse
3Printers3
4UPS (Compact)110 KVA
5UPS (Compact)15 KVA
6Switch3Make : D-LINK Rack : 12 U Model : 1400 24(3) Patch Panel : 2
7Air Conditioner4LG 2 TON

Department Library

S.NoParticularsQuantity
1No. of Volumes6050
2No. of Titles1164
3No. of Journals24
4No. of e-Books450
5No. of System with Internet Facility & IEEE Access01

Value Added Courses

2022-2023

S.NO.  Software Course
1 Machine Learning With Python
2 Data Analytics With R
3 SAP
4 IOS App Development
5 Amazon Web Services
6 Android

Value Added Courses

2022-2023

S.NO.  Software Course
1 Machine Learning With Python
2 Data Analytics With R
3 SAP
4 IOS App Development
5 Amazon Web Services
6 Android