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courses:ae4m33bia:evaluation [2013/06/07 11:20]
kubalik
courses:ae4m33bia:evaluation [2015/03/08 21:00]
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==== Actual Credit Score ====
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^ Name ^ ANN report (max. 10p) ^ Comments ^ EA implementation (max. 10p) ^ EA report (max. 10p) ^ Comments ^ Midterm test (max. 25p) ^ Final exam ^ Total ^
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| Cardoso Bruno | | template not used, no results (graphs tables), experiments should be repeated, assignment report must be rewritten, otherwise will not be accepted | | | | | | |
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| da Costa Simoes Catarina Maria | | | | | | | | |
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| 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 | |
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| Nejc Novak | | | | | | 25 | | |
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| 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 | 36 | |
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| 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 | | |
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==== Credit Allowance Conditions ====
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* Participation and active work at all seminars.
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* Delivering both assignments.
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* Gathering of at least 50% of all points.
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==== Evaluation ====
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Maximal amount of points, which can be recieved during the course, is 100.
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55 points can be recieved during the semester:
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* written report on the analysis of artificial neural networks: 10 points (min 5 points)
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* written report on application of an evolutionary algorithm: 10 points (min 5 points)
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* working program of the evolutionary algorithm: 10 points (min 5 points)
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* oral presentation of the evolutionary algorithm: 5 points
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* midterm test: 20 points (min 10 points) {{:courses:ae4m33bia:varianta2010_ed.pdf|example test}}
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45 points can be recieved at the final exam:
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* written exam test: 40 points (can be passed only with at least 20 points)
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* optional oral exam: < -5, +5 > points
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Extra points can be gotten through exceptional performance in the assignments.
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**Points for each mark:**
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[[courses:
a4m33bia
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^ Points ^ Grade ECTS ^ Evaluation ^
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| 100 - 90 | A | excellent |
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| 89 - 80 | B | very good |
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| 79 - 70 | C | good |
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| 69 - 60 | D | satisfactory |
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| 59 - 50 | E | sufficient |
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| 49 and less | F | failed |
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courses/ae4m33bia/evaluation.1370596824.txt.gz
· Last modified: 2013/06/07 11:20 by
kubalik