Lee, Kiseop
compare →Avg GPA 3.63 unweighted, all sections
A range 48.1%
DFW 5.5% D/F/withdraw
Courses 10
Sections 24
Courses
A range B range C range D range E/F Withdrew Other
| Course | Distribution | GPA | vs course | Terms | Sections |
|---|---|---|---|---|---|
| STAT 59800 Stochastic Optimize Mach Learn | A+ · 4.4% A · 33.6% A- · 1.8% B+ · 0.9% D · 0.4% W · 2.9% P · 55.2% N · 0.7% | 3.93 | +0.06 | 8 | 9 |
| STAT 51100 Statistical Methods | A+ · 1.7% A · 49.5% A- · 1.5% B+ · 1.8% B · 22.4% B- · 1.6% C · 14.1% D · 3.0% F · 2.2% W · 2.1% | 3.26 | -0.08 | 4 | 4 |
| STAT 54000 Computation Finance I | A+ · 11.7% A · 76.2% A- · 2.1% B · 1.7% B- · 1.3% C · 1.7% W · 1.7% AU · 3.8% | 3.92 | +0.00 | 3 | 3 |
| STAT 51900 Intro To Probability | A+ · 10.8% A · 25.9% A- · 8.8% B · 33.3% B- · 2.1% C+ · 5.5% C · 2.1% W · 9.6% I · 2.1% | 3.41 | +0.15 | 2 | 2 |
| MA 51500 Mathematics Of Finance | A · 33.3% B+ · 6.7% B · 26.7% B- · 6.7% C · 13.3% W · 6.7% AU · 6.7% | 3.23 | +0.00 | 1 | 1 |
| STAT 69200 Research Colloquium | P · 100.0% | — | — | 1 | 1 |
| STAT 69500 Deep Learning And Statistics | A+ · 18.2% A · 63.6% W · 18.2% | 4.00 | +0.14 | 1 | 1 |
| STAT 69900 Research PhD Thesis | W · 16.7% I · 83.3% | — | — | 1 | 1 |
| STAT 54100 Computational Finance II | A · 38.5% B · 30.8% C · 30.8% | 3.08 | +0.00 | 1 | 1 |
| STAT 57900 Found Of Stat Machine Learning | A+ · 47.1% A · 17.6% A- · 5.9% B+ · 11.8% B · 5.9% B- · 5.9% W · 5.9% | 3.75 | +0.00 | 1 | 1 |