projects
| wcp1 (due 20240828) |
| wcp2 (due 20240904) |
| pct0 (bonus; due 20240905) |
| pct1 (bonus; due 20240905) |
| pct2 (due 20240905) |
| abc0 (due 20240906) |
| gtf0 (due 20240911) |
| pct3 (bonus; due 20240911) |
| wcp3 (due 20240911) |
| dtr0 (due 20240918) |
| pct4 (due 20240918) |
| wcp4 (due 20240918) |
| mmf0 (due 20240925) |
| pct5 (bonus; due 20240925) |
| wcp5 (due 20240925) |
| cnv0 (due 20241002) |
| gfo0 (due 20241002) |
| pct6 (due 20241002) |
| wcp6 (due 20241002) |
Data and visualizations generated from class activity.
This information is provided to give you a better perspective on how the class as a whole is trending.
==================================================================================
CPROG pct2 abc0 gtf0 got+bns/totl tlly prjct+prtcp+jrnal=results ( grade )
==================================================================================
lowscore: 0 38 25 ............. 13.999% ......................... ( 22.114)
avgscore: 60 70 71 ............. 93% ......................... ( 22.644)
median: 100 69 100 ............. 125% ......................... ( 94.443)
hiscore: 100 100 100 ............. 125% ......................... (150.000)
mode: 100 100 100
range: 100 62 75
==================================================================================
# passed: 3 3 3 ............. 4 ......................... 4 ( 80%)
# of As: 3 2 3 ............. 3 ......................... 3 ( 60%)
# of Bs: 0 0 0 ............. 0 ......................... 0 ( 0%)
# of Cs: 0 1 0 ............. 1 ......................... 0 ( 0%)
# of Ds: 0 0 0 ............. 0 ......................... 1 ( 20%)
# of Fs: 2 2 2 ............. 1 ......................... 1 ( 20%)
# submit: 3 5 3
# early: 3 5 2
# onday: 1 1 1
# late: 1 1 2
# missing: 2 1 1
% passed: 60% 60% 60%
% of As: 60% 40% 60%
% of Bs: 0% 0% 0%
% of Cs: 0% 20% 0%
% of Ds: 0% 0% 0%
% of Fs: 40% 40% 40%
% submit: 60% 100% 60%
% early: 60% 100% 40%
% onday: 20% 20% 20%
% late: 20% 20% 40%
% missing: 40% 20% 20%
==================================================================================
Of the various all-class metrics we can analyze:
We can visualize the results to gain a big picture view. The more the data stays within a certain range, the less interesting the graphs will appear. In such cases, boring graphs indicate the class as a whole is staying relatively the same with respect to that metric (dips would tend to indicate problems, rises would tend to indicate improvements).
