Class Project and Rules:

There will be NO Final Exam for this class. There will be a class project which is due on Friday June 13 at 10 pm . Note that this is the end of FINALS week, not the end of the term.

Upload your complete project as a single PDF document

Requirements:

  1. These projects should be collaborative - maximum team size = 4
  2. All projects need to produce a deliverable and not simply FAILed code. A deliverable is defined as an interactive interface into your research project that allows the user to do custom operations . This is similar to what the Earthquake exercise was about.
  3. You can design a project along your own research interests or the research interest of your group.
  4. All projects need to deal with large data; This data can, of course, be simulated data, but the project must demonstrate data management skills.
  5. Simulation based projects will be more difficult than data analysis projects.
  6. You must submit an Abstract of no more than 500 words via email to Hair/NoHair to get your proposed project approved. This should be done sometime early next week.


Overall, these projects are of your design and if you can't encapsulate the goals and deliverables of your proposed project in less than 500 words, then you should pick another project. A particular deliverable of your project, in addition to the PDF write up, would be some kind of interface (visualization, bootstrap, etc) where the user can interact with what you have produced.

Example Projects:



All of these examples incorporate elements of the weekly exercises and your proposed projects should include most of these elements.

NOTE: You should not plan to try some GIGANTIC computing intensive project that requires significant ACISS compute resources as we can not guarantee that you will get those resources allocated over the next 6 weeks.

NOTE: As you have already experienced, a significant effort is required to process raw data forms into forms useful for input to computing resources. You should know by now that this is not trivial and for many of you, this was your main failure point in some of the exerciss.

NOTE: This project requires a data analysis component. This is a deliverable. You need to Design your analysis initially. What is the research question? What data is relevant to the reserach question? How can we process the relevant data to inform the research question? These elements should all be part of your proposal abstract.