28 Assignment 4

* Due between November 20th at 8:30 a.m. and December 1st at 4:30 p.m. *

The assignment is worth 10% of your final grade. Your assignment should be submitted through Moodle.

CONTENT

  • In-Class Presentation [Team] – 10 points

This is a team assignment. Everyone is expected to contribute.

Be sure to keep meeting minutes that clearly describe each team member’s responsibilities. This includes outlining who has agreed to do what, and when everyone has agreed to share work so that it can be collated and prepared for final submission. As a team, you should also consider discussing and documenting the expectations you have of each other. These notes will help you should you have any issues arise throughout the semester.

Prepare a 12 to 15-minute long presentation with slides that:

  • [1%] Clearly state the research questions you are attempting to answer.
  • [3%] Clearly describes at least two of the more advanced methods that were discussed in class (or identified in the literature). Be sure to discuss the methods from the point of view of the data. That is, did the data meet the assumptions of the methods you used? Convince the audience that the method was appropriate to answer the question and given the data you have on hand. Be sure to use appropriate references from the literature. That is, consider which methods have been used for these or similar types of data by other researchers.
  • [2%] Outline your findings and your dashboard (A sample dashboard that I created during the early months of the COVID-19 pandemic can be found here). Be sure to use clear visuals, and clear language. Do not overstate your results; simply answer the questions you began with. Be sure to describe what the findings mean to the audience.
  • [2%] Are well organized, clear, concise, aesthetically interesting, and engaging.

There will be approximately 3 to 5 minutes after each presentation for questions:

  • [2%] Ability to answer questions.

Link to evaluation survey: click here.

License

Community Engaged Data Science Copyright © 2023 by Daniel Gillis. All Rights Reserved.

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