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TNEA CODE 2723

DEPARTMENT OF ARTIFICIAL INTELLIGENCE AND DATA SCIENCE

Programme Highlights
Artificial Intelligence and Data Science is the current technology which are rapidly changing the world at very high rate. The basic objectives of this Programme is to train students with the next age of Intelligence and analytics generated by machines, influencing the human lives to help improve efficiencies and augment human capabilities, influencing consumer products with significant breakthroughs in healthcare, manufacturing, finance and retail industries. Curriculum and Infrastructure

 Well scrutinized and outcome based curriculum is designed to equip students with emerging trends in AI&DS.
 Project based learning through well equipped laboratories.
 Flexible programme with industry research collaborations.
 Course delivery through real world applications.

Training and placement
 Training for all students to enhance their skills to face Campus drives by organizing training in Quantitative Aptitude, Logical Reasoning, Verbal, Soft Skill, Technical Training, future skills through expert trainers and Corporate Officials.
 Support and career guidance will be provided by organizing guest lectures by eminent personalities from corporate and academics.
 Company specific trainings by experts.
 Placement opportunities in top-tier companies like Wipro, Infosys, TCS, CTS, Robert Bosch, Capgemini, Accenture etc.,

Value Additions
 Industrial Visits,Inplant trainings and Internship for all students
 Seminars, webinars, Value Added Courses and hands on training in current trends.
 Self learning courses through Swayam NPTEL Portal.

Industry Interaction
MoUs with leading companies like Wipro, Infosys, VMWare IT Academy, ICT Academy and many more.

VISION
To produce competent professionals in Artificial Intelligence and Data Science by focusing excellence in knowledge-centric education, innovation and research to address the needs of industry and society.

MISSION
  • M1:Impart knowledge in Artificial Intelligence and Data Science technologies in par with industrial standards.
  • M2:Excel in Teaching-Learning process using modern infrastructure and innovative components.
  • M3:Foster research attitude through project-based learning.
  • M4:Enhance employability and entrepreneurial skills in the field of AI & DS through training and self- learning.



  • More About Department

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    AI&DS Students Association

    THRIVE'IN AI write up 2024-2025

    AI&DS Laboratories

    A well-equipped computer lab with advanced facilities is established for the benefit of the AI&DS students.

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    HOD Profile

    Dr. S. Sadesh

    Professor & Head, Artificial Intelligence and Data Science
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    Faculty Members

    faculty

    Ms. K. Keerthana

    Assistant Professor

    ADS

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    faculty

    Ms. Thivya Rajkumar

    Assistant Professor

    ADS

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    faculty

    Mr. V. Manoj Praveen

    Assistant Professor

    ADS

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    faculty

    Ms. T. Dhivya

    Assistant Professor

    ADS

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    faculty

    Ms. M. Sathyapriya

    Assistant Professor

    ADS

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    faculty

    Mr. P. Prabhu Ranjith

    Assistant Professor

    ADS

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    faculty

    Ms. A. S. Harina

    Assistant Professor

    ADS

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    faculty

    Ms. A. Aiswarya

    Assistant Professor

    ADS

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    faculty

    Ms. A.Dhivya

    Assistant Professor

    ADS

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    Technical Staff Members

    faculty

    Mr. S. Hemanth

    Laboratory Assistant

    ADS

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    faculty

    Mr.K. R. Dhivin

    Laboratory Assistant

    ADS

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