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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.
-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}}
-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]]