======Discrete Structures 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. =====Numeric Stats on Deliverables===== ======================================================================================= DISCRETE btt0 pct2 abc0 msi0 got+bns/totl tlly prjct+prtcp+jrnal=results ( grade ) ======================================================================================= lowscore: 0 0 69 0 ............. 6.999% ......................... ( 69.229) avgscore: 75 88 96 74 ............. 111% ......................... ( 59.554) median: 100 100 100 83 ............. 78% ......................... (119.710) hiscore: 100 100 100 100 ............. 125% ......................... (160.256) mode: 100 100 100 100 range: 100 100 31 100 ======================================================================================= # passed: 8 9 10 8 ............. 9 ......................... 10 (100%) # of As: 6 7 9 5 ............. 9 ......................... 9 ( 90%) # of Bs: 2 2 0 0 ............. 0 ......................... 0 ( 0%) # of Cs: 0 0 1 3 ............. 0 ......................... 1 ( 10%) # of Ds: 0 0 0 0 ............. 0 ......................... 0 ( 0%) # of Fs: 2 1 0 2 ............. 1 ......................... 0 ( 0%) # submit: 8 9 10 8 # early: 8 9 10 5 # onday: 1 1 1 3 # late: 1 1 1 1 # missing: 2 1 1 1 % passed: 80% 90% 100% 80% % of As: 60% 70% 90% 50% % of Bs: 20% 20% 0% 0% % of Cs: 0% 0% 10% 30% % of Ds: 0% 0% 0% 0% % of Fs: 20% 10% 0% 20% % submit: 80% 90% 100% 80% % early: 80% 90% 100% 50% % onday: 10% 10% 10% 30% % late: 10% 10% 10% 10% % missing: 20% 10% 10% 10% ======================================================================================= =====Class Project Progress===== 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). ====Project Metrics==== {{ https://lab46.g7n.org/~wedge/content/images/fall2024.discrete.attr.png |Project Metrics graph}} ====Class Ranking==== {{ https://lab46.g7n.org/~wedge/content/images/fall2024.discrete.rank.png |Project Ranking graph}}