Project #52327 - Data Science Curriculum

Due dates:

PRESENTATION: Wednesday 2014 December 17 15:00-18:00 (PST) WRITE-UP: Friday 2014 December 19 23:59:59 (PST)


  • MUST work in groups of three or four people

  • Groups must include a paragraph outlining each individual’s contribution


  • 45% of overall course grade (15% presentation, 30% write-up)

  • Everyone in the group will earn the same score on this assignment

  • On the day of the final, your group will give a short (5-7-minute) presentation about your

    project idea, which we will all then discuss as a collective group.


    Think of this as simply an extended, more thorough version of the previous assignments.

    For this final project you will give a 5-7 minute presentation on the day of the final exam (Wednesday). This presentation will be a general overview of the project’s aims and methods, and we will discuss them as a group to give time for you to make a few adjustments before the final write-up is due.

    The primary difference between this project and the previous (aside from the presentation) is that you are now required to integrate a variety of data scientific methods and theories.

    Specifically, you are required to incorporate at least three different methods, exploring ideas from a combination of:

  • Data mining/dredging

  • Text-mining

  • Human-based computation

  • Crowdsourcing

  • Wisdom of the crowds

  • Culturomics

  • Automated science

  • Data visualization

    Remember you are not expected to actually do these analyses, simply write a report in the style of a peer reviewed publication about how you might approach your question of interest.

    Per usual, every paper must contain four sections: 1) Hypothesis, 2) Introduction, 3) Proposed Methods, 4) Discussion, using the following guidelines:

  • Hypothesis: What is your question and what is your educated guess as to what you will find?

  • Introduction: Why is this question of interest, and what background information led you to your hypothesis?

  • Proposed Methods: How might you go about gathering the data that you will use for your analyses? DO YOUR BEST TO FIND ACTUAL SOURCES OF DATAand include links as references. For example, if you want to look at music preferences, perhaps use spotify?

  • Discussion: What are the pitfalls and potential confounds of your methods, or biases in your data sources? For example, how does the selection of the sources of your crowds affect your outcomes?

    Additional Requirements:

 You will be required to submit a minimum 4-page (double-spaced, 12-point font, Times New Roman), maximum 6 page report.

Subject Computer
Due By (Pacific Time) 12/18/2014 12:00 am
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