C for Engineers Fall 2024 Status

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.

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C4ENG     pct2 abc0 gtf0 dtr0 pct4 stl0 gfo0 pct6 stl1 stl2 pct8 ptb0 ptb1 gfo1 pctA ptb2 wus0 pctC wus1 wus2  got+bns/totl tlly prjct+prtcp+jrnal=results ( grade )
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 lowscore:   0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0    0 ............. 999999% ......................... ( 999999)
 avgscore:  58   67   61   42   51   68   29   40   46   45   51   59   38   36   52   36   27   43   50   49 
   median:  76   69   74   63   84   80    0    0   66   42   82   75   11    0   82   10   27    0   66   76 
  hiscore: 100  100  100  100  100  100  100  100   83  100  100  100  100  100  100  100   90  100  100  100 .............   0% ......................... (      0)
     mode: 100   69  100    0    0   80    0    0   83    0    0   75    0    0    0    0    0    0    0    0 
    range: 100  100  100  100  100  100  100  100   83  100  100  100  100  100  100  100   90  100  100  100 
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 # passed:   7    9    7    6    6    8    4    5    6    4    6    8    5    4    6    4    2    5    6    6 .............    6 .........................  6 ( 54%)
  # of As:   5    4    5    1    4    3    1    3    0    2    4    2    2    4    4    2    0    4    3    3 .............    3 .........................  2 ( 18%)
  # of Bs:   1    0    0    1    2    5    0    1    4    2    2    1    0    0    2    0    2    1    2    3 .............    2 .........................  4 ( 36%)
  # of Cs:   1    5    2    2    0    0    3    1    2    0    0    4    3    0    0    1    0    0    1    0 .............    1 .........................  0 (  0%)
  # of Ds:   0    0    0    2    0    0    0    0    0    0    0    1    0    0    0    1    0    0    0    0 .............    0 .........................  0 (  0%)
  # of Fs:   4    2    4    5    5    3    7    6    5    7    5    3    6    7    5    7    9    6    5    5 .............    5 .........................  5 ( 45%)
 # submit:   6   11    7    6    6   12    5    4    6    7    7    8    7    6    7    5    6    5    5    6 
  # early:   5   10    2    5    5   10    2    3    3    6    4    6    4    5    5    3    3    5    5    3 
  # onday:   1    1    5    1    1    2    3    1    3    1    3    2    3    1    2    2    3    1    1    3 
   # late:   1    1    3    1    1    1    1    1    2    1    1    1    1    1    1    1    1    1    2    1 
# missing:   8    4    5    8    8    3   10   10    7    8    7    6    8    8    7    9    5    6    4    5 
 % passed:  63%  81%  63%  54%  54%  72%  36%  45%  54%  36%  54%  72%  45%  36%  54%  36%  18%  45%  54%  54%
  % of As:  45%  36%  45%   9%  36%  27%   9%  27%   0%  18%  36%  18%  18%  36%  36%  18%   0%  36%  27%  27%
  % of Bs:   9%   0%   0%   9%  18%  45%   0%   9%  36%  18%  18%   9%   0%   0%  18%   0%  18%   9%  18%  27%
  % of Cs:   9%  45%  18%  18%   0%   0%  27%   9%  18%   0%   0%  36%  27%   0%   0%   9%   0%   0%   9%   0%
  % of Ds:   0%   0%   0%  18%   0%   0%   0%   0%   0%   0%   0%   9%   0%   0%   0%   9%   0%   0%   0%   0%
  % of Fs:  36%  18%  36%  45%  45%  27%  63%  54%  45%  63%  45%  27%  54%  63%  45%  63%  81%  54%  45%  45%
 % submit:  54% 100%  63%  54%  54% 109%  45%  36%  54%  63%  63%  72%  63%  54%  63%  45%  54%  45%  45%  54%
  % early:  45%  90%  18%  45%  45%  90%  18%  27%  27%  54%  36%  54%  36%  45%  45%  27%  27%  45%  45%  27%
  % onday:   9%   9%  45%   9%   9%  18%  27%   9%  27%   9%  27%  18%  27%   9%  18%  18%  27%   9%   9%  27%
   % late:   9%   9%  27%   9%   9%   9%   9%   9%  18%   9%   9%   9%   9%   9%   9%   9%   9%   9%  18%   9%
% missing:  72%  36%  45%  72%  72%  27%  90%  90%  63%  72%  63%  54%  72%  72%  63%  81%  45%  54%  36%  45%
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Of the various all-class metrics we can analyze:

• low score
• average score
• median score
• high score
• submission rate
• late/missing rate

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).