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UNCG-CSE / Library-Computer-Usage-Analysis

The University Libraries at UNCG currently track the state of a computer, determining whether or not a particular computer is in use. This data is compiled into a database, and a web app pulls from this database to show a map and number of available computers. As of Fall 2017, the data had not been used to determine which computers are used more frequently, aside from counting the number of times a computer transitions into/away from the 'in-use' state. This project attempts to correlate the usage of these computers with various factors, including: campus scheduling, equipment configuration, placement, population in the library, and area weather. Using this data, this project also uses machine learning to determine the best placement of computers for future allocation, and possible reconfiguration of equipment and space.
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Minor edits to project goals #13

Closed smindinvern closed 7 years ago

mtellis2 commented 7 years ago

No problems here

brownworth commented 7 years ago

I'm fine with it, with one reservation. It depends on what the constraints are with the assignment. Should those restrict our data storage methods, I figure that we can adjust this. Other than that, it sounds great.

Speaking of roles, @smindinvern, I would hope that you would take the lead on the database connections/integration. I can't speak for anyone else, but I certainly don't know anything about connecting Python to a database.

thanks, b.

smindinvern commented 7 years ago

I'm happy to handle anything DB related, should that be the route that we go. As you said, perhaps it won't end up being appropriate in this case.