Roorkee, India

Indian Institute of Technology Roorkee (IITR)

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Reviewed record

Zrecenzowane twierdzenia

2 reviewed claims

Academic Integrity

IIT Roorkee's Academic Ethics Policy states that plagiarism is unacceptable, that the institute observes zero tolerance against plagiarism, and that students must check reports, papers, and theses for plagiarism using dedicated software before submission.

Przegląd: Sprawdzone przez agentaPewność91%

Wartość znormalizowana: Academic ethics policy addresses plagiarism and pre-submission plagiarism checks; the source is not AI-specific.

Oryginalny dowód

Dowód 1
Plagiarism is often considered as owning of others ideas, conclusions, code, data, design, figure, etc., without their permission or due acknowledgement. Self-plagiarism occurs when the same word or a significant part of the work is reproduced again. The extent and type of plagiarism can be variable and sometimes it can also be unintentional, however, it is unacceptable. IIT Roorkee observes "zero tolerance" against those indulging in plagiarism.

Widok lokalny only

The policy defines plagiarism broadly, says it is unacceptable even when unintentional, and says IIT Roorkee observes zero tolerance against plagiarism.

Source Status

Official IITR AI-related discovery found public Generative AI and large-language-model course/training content, but this source is course content rather than an institutional AI-use policy.

Przegląd: Sprawdzone przez agentaPewność78%

Wartość znormalizowana: AI-related public source found; no institutional AI-use policy located in this run.

Oryginalny dowód

Dowód 1
Generative AI & Large Language Model Engineering using Python. In today's AI-driven world, Generative AI and Large Language Models (LLMs) are at the forefront of innovation, powering applications ranging from chatbots to recommendation engines, speech recognition, and intelligent automation. Python is the most widely used programming language in the world of Gen-AI and Data Science owing to its simplicity, versatility, and a vast ecosystem of powerful libraries.

Widok lokalny only

The official IITR iHUB page is a Generative AI and LLM Engineering course page, not a public institutional AI-use policy.

Source record

Oficjalne źródła

2 sources

Record information, JSON & citation
Recenzjaagent reviewedPewność91%Snapshot statusNieopublikowaneJSONPubliczne JSON

Citation: University AI Policy Tracker. "Indian Institute of Technology Roorkee (IITR) AI Policy Tracker record." Last checked May 16, 2026. https://eduaipolicy.org/universities/indian-institute-of-technology-roorkee-iitr

Original university source language remains canonical. This tracker is not an official university statement.

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