Professor's Pet: You are just a number
Professor's Pet is a numerical model that will be able to rank classes within an academic department at UIUC, using Prof. Fagen-Ulmschneider's dataset of grade point averages of offered classes.
Our algorithm is a adaption from the chess ELO rating, as we matched classes between each other as well as students against each other. We call our metric the competitiveness rating.
Input Data Models:
A general purpose algorithm that calculates the competitiveness index, a pseudo-elo based score that objectively determines the difficulty of a class or professor or the ability of a student to perform in their respective major.
Using the average GPA of 114 past and present ECE classes, we were able to come up with a competitiveness rating for each of them, and in the graph below show that there is a trend that classes with higher average GPAs tend to have higher ratings:
Among present classes, these are some of the hardest and easiest ECE classes, with higher ratings being easier, and lower ratings being harder. With a cursory glance, we can see that some notorious classes have a low rating due to low average GPA, and advanced graduate seminars are easier:
|Class Number and Name||Competitiveness Rating||Average GPA|
|ECE 586: Game Theory||1224.629613||3.738095238|
|ECE 590: Grad Seminar in Special Topics||1213.443122||3.7111233|
|ECE 544: Topics in Signal Processing||1201.389846||3.609375|
|ECE 391: Computer Systems Engineering||762.7012135||2.459546926|
|ECE 313: Probability w/ Engineering Applications||674.8997736||2.095202585|
|ECE 210: Analog Signal Processing||652.7759941||2.088134569|
We also took a look at the competitive rating by professor:
Derived update rule