[SOLVED] ISyE6420 Course Project

Project Deliverables

Including the data with your submission is optional. There are two required deliverables which will be uploaded to Canvas:

1. A pdf or html write-up of your project similar to the homework is required. You are free to create this in L^ATEX, MS Word or whichever other editor you like. You are required to export the report to pdf (html also works if pdf doesn’t). There is no specific page requirement, but 4-7 page projects are fairly common.
2. Any code files related to your project. You can use any programming language to create these, but keep in mind they should be well-formatted and human readable.

Example Projects

• There is a sample project available on the course website. Please read it and observe the format of the paper. Other examples will be provided that highlight previous student projects.
• You may reference the Unit 10 lectures in the course, where Brani discusses and analyzes several different case studies using Bayesian methods. These also serve as examples of good project topics.
• You may look at the examples BUGS provides (these are located in the BUGS install directory). From the ’Examples Vol 1’ directory, the following are good references:

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ISyE 6420

Greg Schreiter                              Project Guidelines                           Spring 2024

Rats:Normalhierarchicalmodel

Pump:conjugategamma-Poissonhierarchicalmodel

Dogs:loglinearbinarymodel

Seeds:randomeffectslogisticregression

Surgical:institutionalranking

Magnesiummeta-analysispriorsensitivity

Salm:extra-Poissonvariationindose-responsestudy

• You are of course not limited to these. Any type of Bayesian analysis can serve as inspiration for this project. Please choose data and a topic that are interesting to you.

Grading and Evaluation

The Project is evaluated from 0 to 100 points. Creativity and originality are factors in high scores on the project. Typically the following rough guidelines are used:

• 100 points: Highly original work with good motivation and results clearly presented. May touch on topics outside of class, just like the sample project
• 95 points: Good project relying on ideas from the class or previous work to perform an analysis. May be a bit simpler than the above but the analysis is correct and results clearly presented.
• 90 points or lower: Very basic short project and/or there are errors in approach, techniques or conclusions.

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