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courses:ae4m33bia:evaluation [2013/10/04 13:02]
127.0.0.1 external edit
courses:ae4m33bia:evaluation [2015/03/08 21:00]
kubalik
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-==== Actual Credit Score ==== 
- 
-^ Name  ^ ANN report (max. 10p)  ^ Comments ​ ^ EA implementation (max. 10p)  ^ EA report (max. 10p)  ^ Comments ​ ^ Midterm test (max. 25p)  ^ Final exam  ^ Total  ^ 
-| Cardoso Bruno  |   | template not used, no results (graphs tables), experiments should be repeated, assignment report must be rewritten, otherwise will not be accepted ​ |   ​| ​  ​| ​  ​| ​  ​| ​  ​| ​  | 
-| da Costa Simoes Catarina Maria  |   ​| ​  ​| ​  ​| ​  ​| ​  ​| ​  ​| ​  ​| ​  | 
-| García López Álvaro ​ |  8  |   ​| ​ 10  |  5  | -2 required template is not used, not formatted as a tech. report, references; -1 no crossover is used, evolutionary model is not described clearly; -2 experimental evaluation is missing ​ |  18  |  31.5  |   | 
-| Nejc Novak  |   ​| ​  ​| ​  ​| ​  ​| ​  ​| ​ 25  |   ​| ​  | 
-| Yusupov Mukhiddin ​ |  8  | -2 misspellings,​ less understandable text, not sure how many times (and if ever) the experiments were repeated - significance of the results can't be even estimated ​ |  10  |  8  | -1 required template is not used; -1 uclear issues regrading the crossover and mutation operators and the experimental setup  |  17  |  37  |   | 
-| Sędzielewska Olga  |  7  | -1 misspellings,​ for several figures, I was unable to understand what they show. They should have better descriptions;​ -2 no parameter setup (e.g., number of clusters for k-means, size of SOM, etc.)  |  -  |  14  | -2 required template is not used, the text does not work with the references; -4 uclear issues regrading the evolutionary model, selection and mutation ​ |  17  |   ​| ​  | 
-|   ​| ​  ​| ​  ​| ​  ​| ​  ​| ​  ​| ​  ​| ​  ​| ​  | 
- 
- 
-==== Credit Allowance Conditions ==== 
- 
-  * Participation and active work at all seminars. 
- 
-  * Delivering both assignments. 
- 
-  * Gathering of at least 50% of all points. 
- 
-==== Evaluation ==== 
- 
-Maximal amount of points, which can be recieved during the course, is 100. 
- 
-55 points can be recieved during the semester: 
-  * written report on the analysis of artificial neural networks: 10 points (min 5 points) 
-  * written report on application of an evolutionary algorithm: 10 points (min 5 points) 
-  * working program of the evolutionary algorithm: 10 points (min 5 points) ​ 
-  * oral presentation of the evolutionary algorithm: 5 points 
-  * midterm test: 20 points (min 10 points) {{:​courses:​ae4m33bia:​varianta2010_ed.pdf|example test}} 
- 
-45 points can be recieved at the final exam: 
-  * written exam test: 40 points (can be passed only with at least 20 points) 
-  * optional oral exam: < -5, +5 > points 
- 
-Extra points can be gotten through exceptional performance in the assignments. 
- 
 \\ \\
-**Points for each mark:**  +[[courses:a4m33bia:start|Back to the startpage]]
- +
-^ Points ​     ^ Grade ECTS       ^ Evaluation ​   ^ +
-|  100 - 90    |  A  | excellent | +
-|  89 - 80    |  B  | very good | +
-|  79 - 70    |  C  | good | +
-|  69 - 60    |  D  | satisfactory | +
-|  59 - 50    |  E  | sufficient | +
-|  49 and less   ​| ​ F  | failed | +
- +
-\\ +
-[[courses:ae4m33bia:start|Back to the startpage]]+
  
courses/ae4m33bia/evaluation.txt · Last modified: 2015/03/08 21:00 by kubalik