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DETAILS ON DELIVERABLES FOR THE COURSE:

Intermediate Deliverables

  1. Progress Report I

  2. Progress Report II

Details: The progress reports can build from the Project Plan. They should include the same sections at a minimum, listed here:

  • Stakeholder Names and Roles
  • Project Title
  • Abstract
  • Outline of the Project
  • Success Criteria
  • Assumptions and Limitations
  • Background Literature and Resources
  • Brief Outline of the Data
  • Overview of Data Modeling and Processing
    • What is working / not working
  • Overview of Modeling Approaches
    • What is working / not working
  • Computing
    • What resources are you using for compute? (e.g., Rivanna, sponsor resources)
    • How are you storing data (e.g., RDS database on AWS, flat files on Rivanna)
  • Concerns and Blockers
  • Work plan with timeline

NOTE:
Concerns are things to keep in mind but might not yet impede progress
Blockers indicate that you are stuck and need help

Final Deliverables

3. Package containing all data products and research artifacts

  • To be shared with clients and other stakeholders
  • Students should coordinate with stakeholders to determine best method for delivery
  • Students to answer sponsor questions about deliverables

4. Publishable paper

  • Length: 6 pages maximum
  • The paper will summarize the research and findings
  • Submit the file on Canvas
  • Publication is not a requirement but it is encouraged!
  • See paper rubric for grading breakdown

Authors

  • Clients are cited as authors only if they make a direct contribution to the paper
  • Capstone advisors are occasionally listed as authors. If so, they are listed last. Include them only if they made a direct contribution to the paper and if they wish to be included.

Acknowledgments

  • All contributors not listed authors should be mentioned in an acknowledgments note.
  • Clients may opt out of this. Be sure to ask your clients if they want to be acknowledged.

Citing Work

  • As a rule, all written or presented material must be your own unless you explicitly cite the work of others
  • You may not copy or use the work of anyone else without proper citation

Voice and Style

  • Do not use the first person. Use either second person plural (“we”) of passive voice where appropriate.
  • Use direct and simple language.

Code

  • Name all important code packages used

Figures and Tables

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

Outline
The sections listed below are often included in capstone papers.
In some cases, you may consolidate the sections.

  • Introduction / Project Goal / Research Questions
  • Literature Review / Background / Related Work
  • Data Description
  • Methodology
  • Results
  • Discussion
  • Conclusion / Future Work / Recommendations
  • Acknowledgements

Example Papers

Template

  • This template may be helpful if you write the paper in doc format.

5. Slide deck for presentation

  • Presented by all students at the Capstone Presentation event
  • Please use the SDS-branded .ppt template
  • Submit the file on Teams here. You will be granted access upon request.
  • This information should be included at a minimum:
    • Stakeholders
    • Table of Contents
    • Project Purpose and Background
    • Brief Sponsor Background
    • Data Discussion
    • Assumptions and Limitations
    • Methods Discussion:
      • Data Pipelines and Processing
      • Modeling
    • Discussion on Benefits of this Work (why it is important)
  • See presentation rubric for grading breakdown

6. Poster of your work

  • Brief, visual summarization of research
  • To be displayed at the Capstone Presentation event
  • Please use this SDS-branded .ppt template. You can modify as appropriate.
  • Submit the file on Teams
  • SDS will print the poster for you and cover the cost
  • See poster rubric for grading breakdown

7. Code Repository

  • Submit the link to your GitHub repository containing all finalized, documented code
  • Check with the sponsor if this repo can be public; otherwise it can be kept private to stakeholders
  • For future use, students to ensure that sponsor can run the code