Format

  • 6 pages maximum
  • See Templates below for details on fonts, line spacing, etc.

Abstracts

  • Abstracts should describe the paper in condensed form. It should address the following four topics:
    • Motivation (Why): Provide context for the work and reasons it is important. 

    • Focus (What): Write a short statement of the specific focus of the work presented.??

    • Methodology (How): Describe the methodology used to approach the problem of interest. If the focus of your work is on designing a system, this section frequently focuses on your design (“how” the focus of the work is addressed).

    • Results: Identify results.? If results are forthcoming, state what you expect to have as results by the time the final paper is due.? If the focus of your work is on designing a system, then Results frequently focuses on validation/testing results.??

  • Your abstract should be 100-500 words.

Authors

  • Clients are rarely authors.
  • List authors alphabetically by last name.
  • Capstone advisors are occasionally listed as authors. If so, they are listed last.

Acknowledgments

  • All contributors not listed authors should be mentioned in an acknowledgments note.
  • Clients may opt out of this – see Anonymity

Anonymity

  • Clients may not wish to be mentioned. In such cases, use generic nouns.

Voice and Style

  • Do not use the first person. Use either second plural ("we") of passive voice where appropriate.
  • Do not narrate trials and errors. Describe a state of affairs.
  • Use direct and simple language. Avoid superfluous constructions. Prune sentences.
    • Example: Instead of "We developed a model with the purpose of establishing a foundation for ..." say "Our model established ..."

Code

  • Cite all important code packages used.

Figures and Tables

  • Use block diagrams to describe data flow (pipeline).
  • Show mathematical formulae for core methods.
  • Tables should be legible and within the page's columns.
  • Diagrams should be labeled clearly, crisp, and readable.

Generic Outline

  1. Introduction / Project Goal / Research Questions
  2. Literature Review / Background / Related Work
  3. Data Description
  4. Methodology
  5. Results
  6. Discussion
  7. Conclusion / Future Work / Recommendations
  8. Acknowledgements

Examples

Template

Dataflow diagrams



Raiker, J. Latayan, S. Pagsuyoin and A. Mathieu, "Use of biomarkers in depression diagnostics," 2016 IEEE Systems and Information Engineering Design Symposium (SIEDS), Charlottesville, VA, USA, 2016, pp. 245-249, doi: 10.1109/SIEDS.2016.7489307.


Arrivillaga, D. Greenleaf, M. Hawthorn and R. Alvarado, "Revealing the landscape: Detecting trends in a scientific corpus," 2016 IEEE Systems and Information Engineering Design Symposium (SIEDS), Charlottesville, VA, USA, 2016, pp. 292-297, doi: 10.1109/SIEDS.2016.7489317.



Cruser, A. C. Haworth, L. P. Alonzi and R. C. Alvarado, "Quiet agent detection through simulation and classification," 2018 Systems and Information Engineering Design Symposium (SIEDS), Charlottesville, VA, 2018, pp. 282-286, doi: 10.1109/SIEDS.2018.8374752.


 



  • No labels