B.E in AI & Machine Learning | Engineering College in Tamil Nadu

B.E CSE (Artificial Intelligence) in Pudukkottai, Tamil Nadu

Department of Artificial Intelligence & Machine Learning

Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. Machine Learning (ML) is a subset of AI that involves the use of algorithms and statistical models to enable machines to improve their performance with experience.
We will provide the students with knowledge, expertise and training resources for these new technologies so that students can leverage this expertise in the field of computing. Students will be provided learning opportunities in real world work situations that will keep them abreast of the latest skills and knowledge . To adequately prepare themselves for the Industry, students will be given ample opportunities to participate in the technical activities, competitions, internships and placements.
Artificial Intelligence and Machine Learning undergraduate engineering course has been started by the institute from the academic year July 2023 with the intake capacity of 60 seats.

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

IT LAB-01

SYSTEM CONFIGURATION

NO OF SYSTEMS:35
HP 280 G4 MT CORE i7/9700/3.00GHz/16GB RAM/512 SSD/WIN11 PRO
LENOVO L22e-40 21.45’’ MONITOR
HP KEYBOARD
HP MOUSE

REGULATION 2025
S.No.	SUBJECT NAME	SOFTWARE
1	Essentials of Computing	Ms Office, Scratch Programming( Online Compiler)
2	Computer Programming: C	Turbo C
3	Object Oriented Programming	Turbo C++
4	Re-Engineering for Innovation	Arduino Uno
5	Object Oriented Software Engineering	StartUML
6	Data Structures	Turbo C
7	Java Programming	Eclipse IDE
8	Operating Systems	Telnet
9	English Communication Skills Laboratory – II	Globarina
10	Compiler Design(Integrated)	Flex Windows
11	Database Management Systems	PostgreSQL
12	Python for Data Science	Python IDLE
13	English Communication Skills Laboratory – III	Globarina

REGULATION 2021
S.No.	SUBJECT NAME	SOFTWARE
1	Data Warehousing	Weka 3.8.6
2	Deep Learning For Vision	Anaconda
3	Cloud Computing	Virtualbox, Hadoop, Gae
4	Natural Language Processing	Python
5	Data Warehousing	Weka 3.8.6
6	Network Security	Python Jupitor Notebook
7	Cloud Service Management	Aws, Open Vepula, Oracle
8	Multimedia & Animation	Inkscape, Openshot, Audacity, Word Press Online, Sprites Blenter,Edapp
9	Embedded Systems & Iot	Keil Micro Vision, Arduino Ide
10	Object Oriented Software Engineering	Star Uml

Library Details of Mechanical Engineering

Mechanical Engineers require a solid understanding of key concepts including mechanics, kinematics, thermodynamics, energy and manufacturing. They use these principles in the design and analysis of automobiles, aircraft, heating and cooling systems, buildings and bridges, industrial equipment & machinery, and many more. The Library exhibit inside the Mechanical Engineering Department has been played a vital role to assist student for fulfilling their demand of knowledge. It consist all books which are adverted as per Anna University syllabus.

1.Books

To assists the improvement of student knowledge Department Library consist over 300 books which covers the syllabus of Anna University, Chennai. Also the Library having important books for reference.

2.Journals

Department Library plays a vital role to provide vast knowledge to students to upgrade their technical points via National and International Journals. It has around 100 national and international journals to facilitate to enrich students analytical skills for their final year projects and mini projects.

3.CD's VCD's and Multimedia

Students are encouraged by e-teaching through Aakash Tablets. The idea is motivated by IIT-Bombay via Aakash Project. Most of the students has been worked out their subject related works via Aakash tablets and over 50 types of CD's VCD's. Students were provided over 100 tablets for their academic purpose in Mechanical Engineering Department.

PROGRAM EDUCATIONAL OBJECTIVES (PEOs)

Apply their technical competence in computer science to solve real world problems, with technical and people leadership.
Conduct cutting edge research and develop solutions on problems of social relevance.
Work in a business environment, exhibiting team skills, work ethics, adaptability and lifelong learning.

PROGRAM SPECIFIC OUTCOMES (PSOs)

The students will be able to:

Design and develop intelligent computing solutions by applying AI and machine learning techniques to solve real-world problems.
Employ modern AI tools, frameworks, and innovative methods to analyze data, build predictive models, and deliver effective solutions for industrial and societal applications.
Enhance competence in advancements in AI and ML, engage in responsible research, and uphold ethical and professional standards in developing intelligent systems.

PROGRAM OUTCOMES (POs)

Engineering Knowledge: Apply math, science, and engineering fundamentals to complex problems.
Problem Analysis: Identify and analyze complex problems using research and sustainability principles.
Design Solutions: Design systems and processes considering health, safety, cost, culture, and environment.
Investigations: Use experiments, modelling, and data analysis to reach valid conclusions.
Engineering Tools: Apply modern tools for modelling and problem- solving, recognizing their limits.
Society & Environment: Assess societal, legal, and environmental impacts of engineering solutions.
Ethics: Commit to ethics, human values, diversity, and legal compliance.
Teamwork: Work effectively as an individual and in multidisciplinary teams.
Communication: Communicate clearly in reports, presentations, and documentation across diverse groups.
Management & Finance: Apply management and economic principles in projects and teamwork.
Lifelong Learning: Engage in continuous learning, adapt to new technologies, and think critically.

COURSE OUTCOMES (POs)

Course Outcome 2021

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Course Outcome 2025

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R & D Cell

Title	Cost ₹	Sanctioned by
Modernization of Foundry Laboratory	8.6 Lakhs	AICTE, New Delhi
Modernization of Welding Laboratory	8.1 Lakhs	AICTE, New Delhi
Seminar grant on Composite materials	Air-conditioner unit	AICTE, New Delhi

Faculty

Sl.No.	Name Of The Faculty	Designation	Qualification
1	MRS.KAVITHA.R	ASSISTANT PROFESSOR & HEAD OF THE DEPARTMENT	B.TECH INFORMATION TECHNOLOGY M.TECH INFORMATION TECHNOLOGY PH.D. IN INFORMATION AND COMMUNICATION ENGINEERING
2	MS.GANGA LAKSHMI.M	ASSISTANT PROFESSOR	B.E COMPUTER SCIENCE AND ENGINEERING M.E COMPUTER SCIENCE AND ENGINEERING
3	MS.SUHASINI.C	ASSISTANT PROFESSOR	B.E ELECTRONICS AND COMMUNICATION ENGINEERING M.E COMPUTER SCIENCE AND ENGINEERING
4	MRS.MARY JANSI RANI.A	ASSISTANT PROFESSOR	B.E COMPUTER SCIENCE AND ENGINEERING M.E COMPUTER SCIENCE AND ENGINEERING