boiler.tools

IE-Industrial Engineering

IE 49000 · Intro Machine Learning & Apps

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Avg GPA 3.74 unweighted, all terms
A range 80.2%
DFW 5.0% D/F/withdraw
Sections 49
GPA by term

Distribution by term

A range B range C range D range E/F Withdrew Other

By instructor

InstructorGPAvs courseA %DFW %Sections
Wu, Wenzhuo4.00+0.2692.97.114
Estrada Gomez, Ana M.3.29-0.4545.712.14
Martinez, Ramses3.55-0.1972.66.63
Duerstock, Bradley S.3.57-0.1866.50.03
Pitts, Brandon J.4.00+0.26100.00.03
Griffin, Paul M.2.88-0.8637.612.63
Biller, Stephan R.3.82+0.0886.70.63
Duffy, Vincent G.3.87+0.1388.50.02
Wan, Hong3.85+0.1187.73.82
Hass, Zachary J.4.00+0.26100.00.02
Pearson, Elizabeth3.71-0.0380.55.62
Brunese, Patrick A.3.60-0.1480.62.81
Kenley, Charles R.3.87+0.1291.70.01
Yu, Denny4.00+0.26100.00.01
Mustillo, Thomas J.3.62-0.1264.75.91
McComb, Sara A.3.47-0.2860.10.01
Sala De Medeiros, Marina3.91+0.1777.66.91
Salama, Mohamed3.77+0.0277.24.51
Huang, Congfang3.91+0.1792.30.01
Grade data comes from Purdue public records, collected by boiler-grades (boilergrades.com, Erik Duxstad). Averages are not weighted by class size. Terms before Fall 2021 exclude classes with 10 or fewer students. Give feedback