Skip to content

Home

Jump to bottom
Jen Wilson edited this page Nov 5, 2024 · 9 revisions

Final Paper writeup

Final project

569: lead a project

469: assist a 569 project

The final project will be a research-style project that will leverage the materials covered and apply them to new data in geosciences. The students will be evaluated on the following items:

  1. Formulation of an Outstanding Research Question: an argument for the scientific inquiry based on Literature Review
  2. Design and deploy a scientific workflow using appropriate computing resources.
  3. Gather or curate a data set to be AI-ready (e.g., well-formatted, clean/r labels)
  4. Present first-order analysis of their data with basic statistical distributions and correlations.
  5. Develop and deploy a Classic Machine Learning algorithm
  6. Develop and deploy a Deep Learning algorithm.
  7. Assess the performance of the ML models and assess generalizability.
  8. Ensure the reproducibility of the results
  9. Demonstrate the scientific advances of the analysis.

The deliverables of the final projects are:

  • A 5-page report (35% grade) with the 7 items described above. The report must have a section that describes each author's contribution statement following CRediT: https://credit.niso.org/. A template will be provided in the form of a Word doc and of a Latex file. Place the name of the students responsible for each figure. 569 students are expected to oversee the report in its entirety. 469 students are expected to contribute to at least 1 figure and roughly 2 pages of text in the first iteration of the report.
  • A GitHub repository with documentation on the data and codes (30% grade). 569 and 469 students will be expected to commit to the GitHub repository, with the frequency of the commits being counted as assessments.
  • A 15-min presentation (35% grade). 569 students are expected to present ~70% of the presentation, 469 students are expected to present ~30% of the presentation. Every member is expected to present.

569 project leaders perform all listed tasks. 469 project assistants help project leaders, in particular in tasks 4, 5, 6, 7. The collaboration between project leaders and assistants is similar to what can be expected during an undergraduate research experience. Every group member is expected to speak at the presentation.

The team will provide a brief progress report (½ page PDF to submit on canvas) at the dates TBD, which will help make progress during the quarter.

Clone this wiki locally