Department of Artificial Intelligence and Data Science

Department of Artificial Intelligence and Data Science

        The department of Artificial Intelligence and Data Science [AI&DS] is established in 2021. To provide hands on practice to enrich the confidence among the students to make themselves experts in the field of Artificial Intelligence and Data science with state-of-art laboratory facilities. The department offers Industry collaborative curriculum to assist students to work for international projects. To produce highly competent AI engineers, Data scientist and entrepreneurs to work in top reputed industries around the globe.

Degree Courses Intake Duration
B.Tech Artificial Intelligence and Data Science 120 4 Years

Vision :

dart13  To build quality engineers with diversified knowledge to compete globally with innovations in the domain of Artificial Intelligence and Data Science.

Mission :

service_right_icon2 To impart technical content in latest technologies through industry collaborative Curriculum

service_right_icon2 To produce young engineers with expert knowledge to hoist industry’s growth

service_right_icon2 To foster ethical engineers for resolving community issues through automation solutions

service_right_icon2 To motivate engineers to employ ethical conduct of research for societal benefits

Faculty Details

S.No

Name

Qualification

Designation

Date of Joining

Date on which designated as Professor/Associate Professor

Nature of Association (Regular/Contract / Adjunct)

1
Dr. N.Suba Rani

M.E., Ph.D

Associate Professor & HoD i/c

03.07.2017

01.04.2022

Regular

2
Dr. M.Balakrishnan

M.E., Ph.D

Associate Professor

03.07.2017

01.04.2022

Regular

3
Dr. S.Nithya

M.E., Ph.D

Assistant Professor (SS)

24.06.2009

 

Regular

4
Mr. D.Hari

M.E

Assistant Professor (SS)

04.06.2015

 

Regular

5
Ms.K.Ananthi

M.E

Assistant Professor

02.03.2022

 

Regular

6
Ms.S.R.Indurekaa

M.E

Assistant Professor

07.03.2022

 

Regular

7
Ms.R.Geetha Rajakumari

M.E

Assistant Professor

06.04.2022

 

Regular

Laboratory Details

service_right_icon2 Artificial Intelligence Lab

service_right_icon2 Data Science Lab

service_right_icon2 Machine learning Lab

Programme Educational Objectives (PEOs)

B.Tech. Artificial Intelligence and Data Science graduates will:

PEO1. Domain Knowledge: Possess diversified knowledge and expertise in the domain of Artificial Intelligence and Data Science.

PEO2.Problem solving skills and Ethics:Apply computing skills to identify the challenges and to develop creative ethical solutions

PEO3. Lifelong Learning and development:Involve in lifelong learning, research and development to fulfill social needs using latest technology.

Programme Outcomes (POs)

On successful completion of B.Tech. Artificial Intelligence and Data Science, graduating students/graduates will be able to:

PO 1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, concepts of Artificial Intelligence and data science to solve complex engineering problems

PO 2. Problem analysis: Identify, review literature, formulate and analyze complex engineering problems using first principles of mathematics and engineering sciences.

PO 3. Design and Development of Solutions: Design and develop AI based solutions for complex engineering problems with societal and environmental awareness.

PO 4. Complex problem Investigation: Investigate complex problems by employing skills pertaining to knowledge acquisition, knowledge representation and knowledge engineering to arrive at valid conclusions.

PO 5. Modern Tool Usage:Evaluate and use Data analysis tools and AI based techniques for effective decision making in business and engineering domains.

PO 6. Societal contribution:Follow professional engineering practice by applying contextual knowledge to assess societal and legal issues .

PO 7. Environment and Sustainability:Understand and provide professional engineering solutions taking into consideration environmental and economic sustainability.

PO 8. Ethics:Follow ethical principles and norms in engineering practice.

PO 9. Individual and Team work:Function effectively as an individual, team member or leader in diversified environments.

PO 10. Communication:Communicate and present the actionable insights of data using reports through various modes for all professional activities.

PO 11.Project Management and Finance :Apply Engineering knowledge and management principles for effective project management in multi-disciplinary environments.

PO 12. Life-long Learning:Engage in independent life-long learning and skill development for professional and social well being.

Programme Specific Outcomes (PSOs)

PSO 1. Software Automation : Develop customized automation solutions for Engineering and business problems using intelligent techniques.

PSO 2. Data Engineering : Predict significant information and visualize large scale data using latest technologies.

Publications

S.No.

Type of Publications/Journals
No. of publications

Name of the publisher

1.

Books Published

Books: 1

  • Lambert Publishing
  • Germany

2.

Patent Filed

Patent:1

  • Indian Patent office

3.

Articles published in journals

Journal articles: 3

  • Springer
  • Scopus

4.

Paper published in International Conferences

International Conference papers: 2

  • IEEE
  • Springer

Workshop/Conference/FDP/Seminars Organized:

Academic Year

No.of Workshops Organized
No.of FDP/Seminar
Programmes Organized
2021-2022

1

1

Workshop/FDP/Seminars Attended by Faculty:

Academic Year

No. of Programmes attended @ other Colleges
No. of Programmes attended @ MCET

13

12

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