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PHRM-Pharmacy

PHRM 49500 · Deep Learning In Drug Research

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Avg GPA 3.90 unweighted, all terms
A range 84.1%
DFW 8.0% D/F/withdraw
Sections 51

Distribution by term

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

By instructor

InstructorGPAvs courseA %DFW %Sections
Yang, Yang4.00+0.1085.714.37
Matosevic, Sandro4.00+0.1053.326.75
Li, Jianing3.67-0.2366.70.03
Sheehan, Amy H.2.00-1.9050.050.02
Yeo, Yoon4.00+0.10100.00.02
Rochet, Jean-Christophe4.00+0.10100.00.02
Watts, Val J.4.00+0.10100.00.02
Davisson, Vincent J.4.00+0.1093.80.02
Byrn, Stephen R.4.00+0.10100.00.02
Hockerman, Gregory H.4.00+0.1075.00.02
Pinal, Rodolfo4.00+0.1075.025.02
Zhou, Qi4.00+0.1075.00.02
Schneebeli, Severin T.4.00+0.10100.00.02
Yoo, Ye-Eun4.00+0.10100.00.02
Low, Philip S.4.00+0.10100.00.01
Li, Tonglei4.00+0.10100.00.01
Darbishire, Patricia L.4.00+0.1050.025.01
Dykhuizen, Emily C.4.00+0.10100.00.01
Hudmon, Andy4.00+0.10100.00.01
Yang, Danzhou4.00+0.10100.00.01
Koh-Knox Sharp, Cynthia P.4.00+0.10100.00.01
Huang, Rong4.00+0.10100.00.01
Flaherty, Daniel P.4.00+0.1033.30.01
Ostafe, Raluca4.00+0.10100.00.01
Lim, Seung-Oe4.00+0.10100.00.01
Zhang, Zhong-Yin4.00+0.10100.00.01
Olatunde, Omolola A.4.00+0.10100.00.01
O'Brien, Valerie P.4.00+0.10100.00.01
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