Department of Artificial Intelligence and Machine Learning

About the Department

Vision and Mission

Prog. Edu Objectives & Outcomes

HOD Profile

Faculty List

Highlights

Activities & Professional Society

NPTEL Programme

Clubs

Value Added Courses

Library Resources

Events Participated

Question Bank

About the Department

  • The department of Artificial Intelligence and Machine Learning has been established in the year 2022, recognized by AICTE. Artificial Intelligence specialization will create engineers, who can build solutions, with intelligence as humans.
  • The Department conducts co-curricular activities such as Guest Lectures, Seminars, Training programs, Workshops, etc. The Department also organizes industrial visits to help students to update their knowledge.
  • An exclusive Training and Placement cell is functioning for providing continuous training and placement assistance to the students during their course of study. The students are trained by internal trainers and industry experts with various training partners to improve their employability skills like soft skills, technical, analytical and logical skills. Apart from training, to enhance the innovative thinking and managerial skills of young minds, they are encouraged to organize and participate in various events like paper presentations, technical symposia and project presentations.
  • Currently, the world is being driven digitally with technology and data being present everywhere. It is because many leading companies in the world today, such as Face book, Google and Uber, make machine learning as a central part of their operations. The machine learning market size has been steadily growing. It is a type of data mining that allows computers to learn on their own experience.
  • Nowadays, it's not an exaggeration to say that each of us encounters machine learning multiple times daily. Until the 1960s AI and ML were more or less synonymous, but thereafter they diverged and now they are rampant in the tech industry, mass media and academia.
  • Data scientists and machine-learning engineers are two of the top-ranked jobs globally. Professionals with critical expertise in the domain of data science and machine learning are highly sought after by tech and finance organizations.
  • This course dives deep into the foundational as well as advanced concepts of data science and machine learning to enable students to devise practical solutions in real context.
  • The department provides state-of-the-art computing facilities to the students enabling them to stay a step ahead. They are exposed to various opportunities such as in plant training, internships, and workshops during their course of study.

Vision and Mission

VISION

To be a center of excellence in the field of Artificial Intelligence and Machine Learning applications through appropriate use and diffusion of emerging techniques.

MISSION

  • To develop students with strong capabilities in Artificial Intelligence by continuously enhancing teaching and learning with state-of-the-art technologies.
  • To provide high-quality, value-based education to gain competence in Artificial Intelligence and Machine learning in terms of research and innovation activities.
  • To implement engineering solutions for the benefit of society by the use of AI and ML.

Programme Educational Objectives(PEOs)

  • PEO 1: To perform well in their professional career by acquiring enough knowledge in the domain of Artificial Intelligence and Machine Learning.
  • PEO 2: To enable graduates to research, design and implement AI/ML products and services with effective Communication and Entrepreneurial Skills.
  • PEO 3: To modernize the students with evolving technology and use it for career advancement.

Programme Outcomes (POs)

  • 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.
  • PO 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.
  • PO 5: 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.
  • PO 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.
  • PO 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.
  • PO 8: 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.
  • PO 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.
  • 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.

Programme Specific Outcomes (PSOs)

  • PSO1: Develop models in Data Science, Machine learning, Deep learning and Big data technologies, using AI and modern tools.
  • PSO2: Create solutions for interdisciplinary AI problems through acquired programming knowledge in the respective domains fulfilling with real-time constraints.

HOD Profile

Dr.B.Anni Princy M.E, Ph.D.,

Professor and Head of the Department in Artificial Intelligence & Machine Learning

She received M.E., degree in Computer Science & Engineering in the year 2004 and Ph.D in Computer Science & Engineering in the year 2015 from Sathyabama University, Chennai,. She has a total teaching experience of 27 years. She has published several research articles in National and International Conferences and Journals. Her areas of interest include Software Reliability Engineering, Networking. She has published three Patents. She is the member of the professional societies IEEE & CSI. She received fund from AICTE for MODROB.

Faculty List

S.No. Name of the Faculty Designation

Dr. ANNI PRINCY.B

Professor & Head

Dr. ANAND BABU. R

Professor

Mr. MUTHU .V

Associate Professor

Mrs. RAMATHILAGAM. A

Associate Professor

Mr. ARUL.K

Associate Professor

Mrs. VANIPRIYA.B

Assistant Professor

Mrs. PANDI KUMARI. M.R

Assistant Professor

Mrs. ABITHA .P

Assistant Professor

Mrs. NITHYA .K

Assistant Professor

10 

Mrs. SARANYA. A

Assistant Professor

11 

Mr. VENKATESAN.R

Assistant Professor

12 

Mrs. KAMESHWARI.N

Assistant Professor

13 

Mrs. AZHAKESHWARI N R

Assistant Professor

14 

Mrs. ABIRAMA SUNDARI

Assistant Professor

15 

Mrs. NEVEDHA.P

Assistant Professor

16 

Ms. VIJAYALAKSHMI.R

Assistant Professor

Department Highlights

Name of the Department Start Year Sanctioned Intake
AI & ML 2022-23 60
2023-24 Intake revised from 60 to 240

Professional Society activity details

S.No. Professional Society Number of students Enrolled Present Student Strength Faculty Coordinator
1 IEEE 24 66 Dr.B.Anni Princy

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

TECHNICAL EVENT:
CODE WIZARD: Python coding challenge

IEEE Student Branch in collaboration with Panimalar Engineering College together in association with IEEE Computer Society conducted an event titled Code wizard on 10.10.23 which aimed at providing students with an opportunity to showcase their coding skills. The competition was designed to test the participants’ coding skills and their ability to solve complex problems using Python. The Student Coordinators Pavan JP, Ajay A coordinated the event successfully along with the Staff Coordinator Dr.R.Anand Babu AP(G-1)/AIML.

LET’S FIND THE BUG: Python Debugging Challenging

IEEE Student Branch in collaboration with Panimalar Engineering College together in association with IEEE Computer Society conducted an event titled let’s find the bug on 10.10.23 which aimed at providing students with an opportunity to showcase their debugging skills. The competition was designed to test the participants’ debugging skills and their ability to analyse complex problems using Python. The Student Coordinators Samyuktha G.O , Priya C coordinated the event successfully along with the Staff Coordinator Dr. R .Anand Babu AP(G-1)/AIML.

NON TECHNICAL EVENT
LINK MASTERS: CONNECTIONS

IEEE Student Branch in collaboration with Panimalar Engineering College together in association with IEEE Computer Society conducted an event titled ‘Link masters’ on 10.10.23 which aimed at providing students to showcase their keen observation to uncover words concealed behind a series of intriguing images. This word-based puzzle game invited the players to decipher the underlying connections between the visual clues and the hidden words. The competition was designed to test the participants’ debugging skills and their ability to analyse complex problems using Python. The Student Coordinators Jenita C, Mahalakshmi S coordinated the event successfully along with the Staff Coordinator Dr .R. Anand Babu AP(G-1)/AIML.

GAMERS ASSEMBLE:

IEEE Student Branch in collaboration with Panimalar Engineering College together in association with IEEE Computer Society conducted an event titled ‘Gamers Assemble’ on 10.10.23 which aimed at providing students with an opportunity to unleash their gaming prowess in an electrifying showdown of skill and strategy. The event emphasized an adrenaline-fueled gaming competition where champions are forged in the fires of virtual battle.

It enabled the participants to face off against the best, prove their mettle, and seize glory in the ultimate gaming showdown.The Student Coordinators Sudharsana Kabilesh.S.S,Sanjay.N coordinated the event successfully along with the Staff Coordinator Dr. R. Anand Babu AP(G-1)/AIML.

Department of Artificial Intelligence and Machine Learning conducted Seminar on Importance of IEEE – A Brainstorming Session on 23.08.2023 Wednesday by Mr.M.Arun Assistant Professor, ECE, Chairman, IEEE Madras Young Professionals along with the Staff Coordinator Dr. R. Anand Babu AP(G-1)/AIML.

Artificial Intelligence and machine Learning department - II year Students attended 2 days Workshop on FDM basic Knowledge and Development for AI & ML From 24.08.23 to 25.08.23 in the PEC- AICTE IDEA LAB Organized by the Faculty Coordinator Dr.S.Malathi, ME., Ph.D.,

NPTEL/SWAYAM Courses participation by faculty and student

S.No. Name of the Faculty/Student Course Name Period(month & year) Grade Topper

1

Dr.B.ANNI PRINCY

Cloud Computing

JULY-OCT 2018

Elite

 

2

Dr.B.ANNI PRINCY

Programming in JAVA

JAN-APRIL 2019

Elite + Silver

 

3

Dr.B.ANNI PRINCY

Introduction to Internet of Things

JAN-JUN 2018

Elite

 

DETAILS OF NEW CHAPTERS / CLUBS

Name of the Chapter / Club Date of Inauguration Objective of the Chapter / Club
Artificial Intelligence &
Machine Learning (AIML)Club
13.09.23 To raise awareness and empower members to harness the power of AI through social good projects.
Generative AI Club 18.10.23 Automating monotonous tasks, freeing up human resources for more strategic and complex endeavors.
Neural Networks Club 25.10.23 To equip the students with the ability and skills to
analyze, design and develop computer systems and their applications.

Certificate/Value Added Courses

S.No. Name of Certificate/Value Added Courses Semester & Year of study
1 Generative AI III & II Year
2 NASSCOM Certification III & II Year
3 TCSiON III & II Year

Participation in Inter Institute Events for the Academic Year 2023-2024

S.No. Roll Number Name of the Student Name of the Event Title Institute / Organization

1.

2022PECML149

MOHAMED ASLAM A L M

certification courses

Artificial Intelligence

TCS iON

2.

2022PECML156

SARVESHWARAN V

certification courses

Artificial Intelligence

TCS iON

3.

2022PECML143

LAKSHMI RAJAN S

certification courses

Artificial Intelligence

TCS iON

4.

2022PECML139

KAMALA KANNAN S

certification courses

Artificial Intelligence

TCS iON

5.

2022PECML135

HARWIN S

certification courses

Artificial Intelligence

TCS iON

6.

2022PECML130

DHARUN M

certification courses

Artificial Intelligence

TCS iON

7.

2022PECML129

AVINASH S

certification courses

Artificial Intelligence

TCS iON

8.

2022PECML110

PRIYADHARSINI M

certification courses

Artificial Intelligence

TCS iON

9.

2022PECML111

SAKTHI M

certification courses

Artificial Intelligence

TCS iON

10.

2022PECML155

SANTHOSH S

certification courses

Artificial Intelligence

TCS iON

11.

2022PECML115

SHIVANI-S

certification courses

Artificial Intelligence

TCS iON

12.

2022PECML118

JAYASRI K

certification courses

Artificial Intelligence

TCS iON

13.

2022PECML160

SRICHARAN J

certification courses

Artificial Intelligence

TCS iON

14.

2022PECML101

ABINAYA K

certification course

Big data analysis

NASSCOM

15.

2022PECML139

S KAMALA KANNAN

certification course

SQL
Fundamentals by Accenture

NASSCOM

16.

 

 

2022PECML129

AVINASH S

certification course

Build with Python & Play along: Your own angry birds game- Future Skills Prime Virtual Lab Course

NASSCOM

17.

2022PECML156

SARVESHWARAN V

certification course

SQL
Fundamentals by Accenture

NASSCOM

18.

2022PECML 143

LAKSHMI RAJAN S

certification course

SQL
Fundamentals by Accenture

NASSCOM

19.

2022PECML108

NORAH JANE M

certification course

Future of AI

NASSCOM

20.

2022PECML117

R.THULASI

certification course

Industrial Internet of Things IIOT

NASSCOM

21.

 

2022PECML104

JENITA C

certification course

SQL
Fundamentals by Accenture

NASSCOM

22.

2022PECML104

JENITA C

certification course

Python Basics

NASSCOM

23.

2022PECML104

JENITA C

certification course

Data Structures & Algorithms

NASSCOM

24.

 

2022PECML111

SAKTHI M

certification course

SQL
Fundamentals by Accenture

NASSCOM

25.

2022PECML111

SAKTHI M

certification course

Starting with AI

NASSCOM

26.

2022PECML111

SAKTHI M

certification course

Python Basics by Accenture

NASSCOM

27.

 

2022PECML111

SAKTHI M

certification course

Acquiring Data( Level 1- AI Fundamentals of AI ASCEND) by
Accenture

NASSCOM

28.

 

2022PECML114

SEBISHA SEBI

certification course

SQL
Fundamentals by Accenture

NASSCOM

29.

2022PECML132

GIRIDHARAN P

certification course

SQL - by Accenture

NASSCOM

30.

2022PECML155

SANTHOSH

certification course

Python Basics by Accenture

NASSCOM

31.

 

2022PECML106

MAHALAKSHMI

certification course

SQL
Fundamentals by Accenture

NASSCOM

32.

2022PECML103

GOWTHAMI THANGADURAI

certification course

Future of AI

NASSCOM

33.

2022PECML135

HARWIN S

certification course

Open AI Tools

NASSCOM

34.

2022PECML141

KIRANSIDDARTH S

certification course

Overview of AI

NASSCOM

35.

2022PECML163

YASVANTH R

certification course

Overview of AI

NASSCOM

36.

2022PECML133

GUNALAN A

certification course

Overview of AI

NASSCOM

37.

2022PECML157

SUDHARSANA KABILESH

certification course

Acquiring Data( Level 1- AI Fundamentals of AI ASCEND) by
Accenture

NASSCOM

38.

2022PECML157

SUDHARSANA KABILESH

certification course

Open AI Tools: Text –to-Image Generator DALL- E

NASSCOM

39.

 

2022PECML119

 

APARNA M

certification course

Acquiring Data( Level 1- AI Fundamentals of AI ASCEND) by
Accenture

NASSCOM

40.

 

2022PECML119

 

APARNA M

certification course

SQL
Fundamentals by Accenture

NASSCOM

41.

2022PECML119

APARNA M

certification course

Python Basics by Accenture

NASSCOM

42.

 

2022PECML113

 

SANDRA IDA S

certification course

SQL
Fundamentals by Accenture

NASSCOM

43.

2022PECML113

SANDRA IDA S

certification course

Python Basics by Accenture

NASSCOM

Library Resources & Dept. Library

Item Details
Area 30 Sq.m.
No. of Titles 325
No. of Volumes 800
No. of Technical Magazines/Periodicals 02
No. of Total Technical Journals 06
No.of Computers 02
No. of E-Journals 04(IEEE-ASPP/IEEE- POP/ELSIVIER-SCOPUS/ DELNET
No.of E-Books 01 (MGH)

PARTICIPATION IN INTER INSTITUTE EVENTS FOR THE ACADEMIC YEAR 2023-2024

S.No. Roll No. Name of the Student Name of the Event Title Institute / Organization
1. 2022PECML149 MOHAMED ASLAM A L M certification courses Artificial Intelligence TCS iON
2. 2022PECML156 SARVESHWARAN V certification
courses
Artificial Intelligence TCS iON
3. 2022PECML143 LAKSHMI RAJAN S certification courses Artificial Intelligence TCS iON
4. 2022PECML139 KAMALA KANNAN S certification
courses
Artificial Intelligence TCS iON
5. 2022PECML135 HARWIN S certification courses Artificial Intelligence TCS iON
6. 2022PECML130 DHARUN M certification
courses
Artificial Intelligence TCS iON
7. 2022PECML129 AVINASH S certification courses Artificial Intelligence TCS iON
8. 2022PECML110 PRIYADHARSINI M certification
courses
Artificial Intelligence TCS iON
9. 2022PECML111 SAKTHI M certification courses Artificial Intelligence TCS iON
10. 2022PECML155 SANTHOSH S certification
courses
Artificial Intelligence TCS iON
11. 2022PECML115 SHIVANI-S certification courses Artificial Intelligence TCS iON
12. 2022PECML118 JAYASRI K certification
courses
Artificial Intelligence TCS iON
13. 2022PECML160 SRICHARAN J certification courses Artificial Intelligence TCS iON
14. 2022PECML101 ABINAYA K certification
course
Big data analysis NASSCOM
15. 2022PECML139 S KAMALA KANNAN certification course SQL Fundamentals by Accenture NASSCOM
16. 2022PECML129 AVINASH S certification course Build with Python & Play along: Your own angry birds game- Future Skills Prime Virtual Lab
Course
NASSCOM
17. 2022PECML156 SARVESHWARAN V certification course SQL Fundamentals by Accenture NASSCOM
18. 2022PECML
143
LAKSHMI RAJAN S certification
course
SQL Fundamentals by Accenture NASSCOM
19. 2022PECML108 NORAH JANE M certification course Future of AI NASSCOM
20. 2022PECML117 R.THULASI certification
course
Industrial Internet of Things IIOT NASSCOM
21. 2022PECML104 JENITA C certification course SQL Fundamentals by Accenture NASSCOM
22. 2022PECML104 JENITA C certification course Python Basics NASSCOM
23. 2022PECML104 JENITA C certification course Data Structures & Algorithms NASSCOM
24. 2022PECML111 SAKTHI M certification course SQL Fundamentals by Accenture NASSCOM
25. 2022PECML111 SAKTHI M certification course Starting with AI NASSCOM
26. 2022PECML111 SAKTHI M certification course Python Basics by Accenture NASSCOM
27. 2022PECML111 SAKTHI M certification course Acquiring Data( Level 1- AI
Fundamentals of AI ASCEND) by Accenture
NASSCOM
28. 2022PECML114 SEBISHA SEBI certification course SQL Fundamentals by Accenture NASSCOM
29. 2022PECML132 GIRIDHARAN P certification course SQL - by Accenture NASSCOM
30. 2022PECML155 SANTHOSH certification course Python Basics by Accenture NASSCOM
31. 2022PECML106 MAHALAKSHMI certification course SQL Fundamentals by Accenture NASSCOM
32. 2022PECML103 GOWTHAMI
THANGADURAI
certification course Future of AI NASSCOM
33. 2022PECML135 HARWIN S certification course Open AI Tools NASSCOM
34. 2022PECML141 KIRANSIDDARTH S certification
course
Overview of AI NASSCOM
35. 2022PECML163 YASVANTH R certification course Overview of AI NASSCOM
36. 2022PECML133 GUNALAN A certification
course
Overview of AI NASSCOM
37. 2022PECML157 SUDHARSANA KABILESH certification course Acquiring Data( Level 1- AI Fundamentals of AI ASCEND) by
Accenture
NASSCOM
38. 2022PECML157 SUDHARSANA KABILESH certification course Open AI Tools: Text –to-Image
Generator DALL-E
NASSCOM
39. 2022PECML119 APARNA M certification course Acquiring Data( Level 1- AI
Fundamentals of AI ASCEND) by Accenture
NASSCOM
40. 2022PECML119 APARNA M certification course SQL Fundamentals by Accenture NASSCOM
41. 2022PECML119 APARNA M certification
course
Python Basics by Accenture NASSCOM
42. 2022PECML113 SANDRA IDA S certification course SQL Fundamentals by Accenture NASSCOM
43. 2022PECML113 SANDRA IDA S certification
course
Python Basics by Accenture NASSCOM

PARTICIPATION IN INTRA INSTITUTE EVENTS FOR THE ACADEMIC YEAR 2023-2024

S.No. Roll No. Name of the Student Name of the Event Title Institute / Organization From To
1. 2022PECML144 LOKESH J REVIL’23 Escape Room
Runners
Chennai Institute Of
Technology
23.09.23  
2. 2022PECML147 MEGANAATHAN G REVIL’23 Escape Room
Runners
Chennai Institute Of
Technology
23.09.23  
3. 2022PECML125 AJAY D MECHGUST 23 Robotics
Workshop
Chennai Institute Of
Technology
23.09.23 26.09.23
4. 2022PECML150 NOBLE JOHN J MECHGUST 23 Robotics
Workshop
Chennai Institute Of
Technology
23.09.23 26.09.23
5. 2022PECML130 DHARUN M MECHGUST 23 Robotics Workshop Chennai Institute Of Technology 23.09.23 26.09.23
6. 2022PECML138 JAHIR AHAMED S MECHGUST 23 Robotics
Workshop
Chennai Institute Of
Technology
23.09.23 26.09.23
7. 2022PECML119 APARNA M TROJANS-
Symposium
Machine Learning and Deep Learning
Workshop
Chennai Institute Of Technology 20.09.2023  
8. 2022PECML113 SANDRA IDA S TROJANS-
Symposium
Machine Learning and Deep Learning
Workshop
Chennai Institute Of Technology 20.09.2023  
9. 2022PECML118 JAYASRI K MECHGUST 23 DRONE Chennai Institute Of
Technology
23.09.23 26.09.23
10. 2022PECML134 HARIHARAN S TROJANS-
Symposium
Machine Learning and Deep
Learning Workshop
Chennai Institute Of Technology 20.09.2023  
11. 2022PECML137 HIRUTHIK TROJANS-
Symposium
Machine Learning and Deep
Learning Workshop
Chennai Institute Of Technology 20.09.2023  
12. 2022PECML139 HARI PRASATH J TROJANS-
Symposium
Machine Learning and Deep
Learning Workshop
Chennai Institute Of Technology 20.09.2023  
13. 2022PECML160 SANJNA R QUANTATHON 1.0 SRM Quantum Computing Club SRM Institute of Science &
Technology
18.08.23 19.08.23
14. 2022PECML155 MATHANGI
SUBRAMANIAM
QUANTATHON 1.0 SRM Quantum Computing Club SRM Institute of
Science & Technology
18.08.23 19.08.23
15. 2022PECML115 JANAVI S QUANTATHON 1.0 SRM Quantum Computing Club SRM Institute of
Science & Technology
18.08.23 19.08.23

Question Bank - Academic Year 2023 - 24 (Even Semester)

YEAR / SEM SUB CODE SUB TITLE GOOGLE SITES
II yr/
IV SEM
21MA1408 Probability and Statistical Models For Machine Learning https://sites.google.com/view/probability-and-statistical-mo/home
21CS1401 Database Management System https://sites.google.com/view/database-managemen/home
21CS1403 Computer Networks https://sites.google.com/view/computer-networks-ai/home
21ML1401 TOC and Compiler Design https://sites.google.com/view/21ml1401-toc/home
21AD1401 Machine Learning https://sites.google.com/view/21ad1401machine-learning-notes/home
21CS1303 Software Engineering https://sites.google.com/view/software-engg/home

For Admissions

Bangalore Trunk Road, Varadharajapuram, Poonamallee, Chennai – 600 123.

+044 -26490404 / 0505 / 0717

info@panimalar.ac.in