Artificial Intelligence & Data Science

About AI&DS Department

Artificial Intelligence and Data Science are transforming the way machines think and learn. Earlier, computers followed fixed instructions, but today they can analyze data, learn patterns, and make intelligent decisions. This evolution led to the emergence of AI & Data Science, one of the most exciting fields in engineering.

For engineering students, AI & DS combines programming, mathematics, statistics, and domain knowledge. Students learn how raw data is collected, processed, and converted into meaningful insights using machine learning, deep learning, and data analytics techniques.

AI & Data Science power modern technologies such as chatbots, recommendation systems, medical diagnosis, smart cities, autonomous vehicles, and business analytics. With the rapid growth of data and intelligent systems, AI & DS offers excellent career opportunities in technology, research, and innovation, enabling students to shape the future of smart and data-driven solutions.

Vision

Excellence in the domain of Artificial Intelligence and Data Science for sustainable development.


Mission

  • To impart quality education with regard to existing and evolving AI & DS techniques.
  • To groom students technologically superior and ethically strong.
  • To equip students with interdisciplinary skill sets required to cater the needs of society
  • To collaborate with various Industries to make students industry-ready.

Programmes Offered

Under Graduate Programmes Intake
B.Tech. Artificial Intelligence & Data Science
60

Students On-Roll

II - Year
S.No Register Number Name of the Student
1 112424243001 ABINESH N
2 112424243002 ABISHEKRAJ R
3 112424243003 AJAY C
4 112424243004 DHANASEKAR S
5 112424243006 GAYATHRI P
6 112424243007 GLADWIN W
7 112424243008 HARINE A
8 112424243009 HARISH M
9 112424243010 JAYASURIYA K
10 112424243011 JOTHI J
11 112424243012 KANIGAV
12 112424243013 MARIYA AYESHA A
13 112424243015 MOHAMMED DILNAWAZ M
14 112424243016 PAUL HARRISH U J
15 112424243017 POOVARASU S
16 112424243018 PRASANTHPRABUS M
17 112424243022 ROHITH ROSHAN D
18 112424243023 SARATHI V
19 112424243024 SASIKALA C
20 112424243025 SUDHANA SUVIHARAN M
21 112424243026 VEERAMUTHU A
22 112424243027 YESHWANTH S
23 112424243301 KEERTHANA S
III - Year
S.No Register Number Name of the Student
1 112423243001 ABITHA.M
2 112423243002 AVINASH.S
3 112423243003 DEENA.K
4 112423243004 DEEPIKA.V
5 112423243005 DHANUSH.M
6 112423243006 DINAKARAN.P
7 112423243007 DIVYA.M
8 112423243008 DIVYA.M
9 112423243009 ESWARAPRASATH.A
10 112423243010 GOKUL.M
11 112423243011 GOPIKA.N
12 112423243012 GOWTHAM P
13 112423243013 GOWTHAM V
14 112423243014 HARIHARAN.V
15 112423243015 HARIHARASUDHAN S
16 112423243016 JAGADEESH.J
17 112423243017 JOTHILAKSHMI.M.R
18 112423243018 KAMESH.K
19 112423243019 KARTHICK.J
20 112423243020 KARTHICK.P
21 112423243021 KISHORE.P
22 112423243022 KISHORE.R
23 112423243023 LOGESH RAJ.N
24 112423243024 MADHU SRI .C
25 112423243025 MALAVI.M
26 112423243026 NARESH.D
27 112423243027 NAVEENA.N
28 112423243028 POOVARASAN.K
29 112423243029 PRIYA.R
30 112423243030 PRIYADHARSHAN.R
31 112423243031 RANJITHKUMAR.S
32 112423243032 RATHI K P
33 112423243033 RESHMA.M
34 112423243034 RISHI CHARAN.R
35 112423243036 SAIKUMAR.G
36 112423243037 SAMEERA BANU.M
37 112423243038 SANJAY E
38 112423243041 SATHISH.G
39 112423243042 SHANMUGAPETCHI.P
40 112423243043 SHARMILA.M
41 112423243044 SWETHA.K
42 112423243045 THIRUMALAI.D.T
43 112423243046 TRILOK.R
44 112423243048 VISHVA.V
45 112423243049 VISHWA.K
46 112423243050 YOGESHWARAN.S
47 112423243301 MOHANA KRISHNAN.P.V
48 112423243303 SUNIL RAJ.R

Syllabus

COURSES R17 Regulation R21 Regulation
B.Tech. Artificial Intelligence & Data Science --- Download

List Of Laboratories

  • Database Design and Management Laboratory
  • Artificial Intelligence Laboratory
  • Data Science and Analytics Laboratory
  • Machine Learning Laboratory
  • Deep Learning Laboratory

PEOs, PSOs, and POs — B. TECH- ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

I. PROGRAMME EDUCATIONAL OBJECTIVES (PEOs)

Graduates of the programme B. TECH - AI & DS will:

  • 01

    Utilize their proficiencies in the fundamental knowledge of basic sciences, mathematics, Artificial Intelligence, data science and statistics to build systems that require management and analysis of large volumes of data.

  • 02

    Advance their technical skills to pursue pioneering research in the field of AI and Data Science and create disruptive and sustainable solutions for the welfare of ecosystems.

  • 03

    Think logically, pursue lifelong learning and collaborate with an ethical attitude in a multidisciplinary team.

  • 04

    Design and model AI based solutions to critical problem domains in the real world.

  • 05

    Exhibit innovative thoughts and creative ideas for effective contribution towards economy building.

II PROGRAM OUTCOMES (POs)

Engineering Graduates will be able to

  1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  2. 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.
  3. 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.
  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.
  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.
  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.
  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.
  8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  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.
  11. 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.
  12. 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.

III. PROGRAM SPECIFIC OUTCOMES (PSOs)

Graduates should be able to:

  • Evolve AI-based efficient domain specific processes for effective decision making in several domains such as business and governance domains.
  • Arrive at actionable Foresight, Insight, hindsight from data for solving business and engineering problems
  • Create, select and apply the theoretical knowledge of AI and Data Analytics along with practical industrial tools and techniques to manage and solve wicked societal problems
  • Develop data analytics and data visualization skills, skills pertaining to knowledge acquisition, knowledge representation and knowledge engineering, and hence be capable of coordinating complex projects.
  • Able to carry out fundamental research to cater the critical needs of society through cutting-edge technologies of AI.