- The abstract is a succinct, one paragraph, summary of this writeup (from background to results and conclusions).
- This section is the background of the project. Describe the reason, client , coauthors, and why it is important.
- The problem statement should state clearly what your spreadsheet will be answering, with a little bit about
- The problem statement should state explicitly what metrics you will be using for
- If your excel sheet has thorough instructions, the instructions in the writeup can be brief and refer to the excel (and use a screenshot or two), otherwise, be very specific (and use screenshots). Make sure to link to your spreadsheet here.
- This section is a reference, thorough justification of your assumptions and values. Use references you gained during your literature review to back these up. Using automatic references in this section is best.
- Describe overall concrete results based upon assumptions. Use graphs throughout the results section.
- This should have metric (e.g. carbon, cost, etc) subsections to describe the results for each metric based on specific assumptions.
- What assumptions change the results the most? What are you surprised by? Whereas conclusions are concrete and quantitative, discussion is more qualitative.
- Describe things to change and ways to expand the model.