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“INDUSTRY INCUBATION INTERNSHIP PROGRAM 2022”

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Three day faculty development program “No Code And Low Code Machine Learning Techniques” in association with Mindtree (A Larsen & Toubro Group Company) from 19th Dec 2022 till 21st Dec 2022

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DEPARTMENT OF INFORMATION TECHNOLOGY ORGANIZEDSEMINAR ON “DECAREER OPPORTUNITIES IN DATA ANALYTICS AND DATA SCIENCE INDUSTRY ” IN ASSOCIATIONWITH IMARTICUS LEARNING ON 10.05.22

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The Department of Information Technology organized a Three Days Industry Sponsored Virtual Faculty Development Programme on “Predictive Healthcare Data Analytics” in association with CIRF (Computational Intelligence Research Foundation) on 07.03.2022 to 09.03.2022 .

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The Department of Information Technology organized a Five Days Virtual Faculty Development Programme on “Artificial Intelligence in Healthcare” on 21.02.2022 to 25.02.2022.

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SEMINAR ON OPPORTUNITIES OF PRODUCT MANAGEMENT

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Webinar on Deliberation on OBE

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Department of Information Technology organized a Seminar on Oppurtunities in Innovation, Start – ups and Entrepreneur on 06.12.21.

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Department of Information Technolgoy ,IEEE Computer Society SBC in Association with IEEE TEMS SBC Celebrated IEEE DAY 2021 on 13.10.2021

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DEPARTMENT OF INFORMATION TECHNOLOGY organized an online webinar on “ COMPETITIVE PROGRAMMING ” by Mr. Shantanu Shubham , Software Development Engineering, Associated with Coding Ninjas, Schlumberger on 21.09.21.

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Department of Information Technology has signed a MoU with Imarticus Learning and organized a workshop on “Deep Neural Networks” on 19.8.21.

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Department of Information Technology in association with ISTE Student Branch Chapter has conducted a 5 Days Virtual FDP on Research Perspectives on Data Science. The event was marked with the presence of expertise resource persons who enlightened the enthusiastic Participants to explore more in the fields of Data Science.

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Technovaciòn’21 – Lets Deep Dive into Technological Innovations

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Department of Information Technology organised Webinar in association with IEI on 30.4.21. On the topic Introduction to Machine Learning

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