Modelling and Simulation in Data Science and Computing Engineering

MH6551 — NTU Learn

Course details

Contact information
Assessments

Project details

Suggested Repositories
  • Format: PDF document (LaTeX strongly encouraged)
  • Layout: A4, font size 10-12pt, margins at most 1 inch
  • Main report: 2 pages maximum, text only
  • Appendix: 1-4 pages, figures/tables belong here, minimal text
  • Describe the objective of your project (cover at least two course topics)
  • Detail your methodology: (e.g. nature of the data, preprocessing, model or architecture, training procedure, validation and testing methods, etc.)
  • Justify why you followed this methodology (ideally with references to the lecture; optionally to textbooks or research papers but not a must)
  • Describe the challenges you encountered and how you overcame them
  • Describe your use of LLMs and their impact on the project
  • Include a contribution/responsibility statement for each group member
  • Include visuals in the appendix (e.g. loss curves, accuracy plots, etc.) and reference them in the main report
  • Do not include code in the report, the aim of your report is to communicate your understanding of the material

Lecture material

The slides will be uploaded on a rolling basis on NTU Learn. The Jupyter notebooks can be accessed online in Google Colab through the links below. If you want to open them locally on your computer, you can download them as well as the datasets from NTU Learn.

References