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Rules for MLE5003

Project

You must not do following except with permission from your supervisor:

  • Share this webpage with others.
  • Reveal anything of your project to other people.
  • Collaborate with other people without permission.
  • You must obey the law of Singapore and the Code of Conduct for both staff and student depends on your role.
  • You must not use our equipment or public HPC services for personal interest such as Bitcoin mining.

Academic Integrity

  • Committed to high standards of academic integrity.
  • Honest and accurate in data collection, analysis, and reporting.
  • Transparently acknowledge uncertainties and limitations.
  • Properly cite all sources to avoid plagiarism.
  • Encourage collaboration and mentorship on ethical practices.
  • Disclose and manage potential conflicts of interest.
  • Handle reports of academic integrity violations confidentially.
  • Aim to create a research environment based on trust, respect, and ethics.

Usage of Generative AI

Please see below for the policy from the university

UPDATED POLICY ON USE OF ARTIFICIAL INTELLIGENCE TOOLS IN ACADEMIC WORKS
As we commence a new academic year, we wish to inform you of the updated Policy for Use of Artificial Intelligence (AI) in Teaching and Learning, developed through consultation across the NUS community, including NUSSU. Please refer to the general message to students here and the guidelines on the use of AI tools in your academic work here.
We remind students of the importance of adhering to the highest standards of academic integrity. Taking the output of AI and presenting it as your own work, without proper acknowledgement, constitutes plagiarism. The University takes a serious view of plagiarism, which is a form of academic dishonesty. Guidelines to avoid plagiarism can be found here.
We also remind students, where use of AI tools is allowed, to always critically evaluate the output of AI for aspects such as engagement with the assignment, depth of analysis, clarity of reasoning, and appropriateness of tone and style, and refine the output appropriately for your submission.
If you have general queries on any of these guidelines, please contact askalib@nus.edu.sg. If you have any doubts about how they may apply to your course, please seek clarification with your course instructor or supervisor.