courses:ae4m33bia:evaluation [CourseWare Wiki]

This is an old revision of the document!

Name	ANN report (max. 10p)	Comments	EA implementation (max. 10p)	EA report (max. 10p)	Comments	Midterm test (max. 25p)	Final exam
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

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) example test

45 points can be recieved at the final exam:

Extra points can be gotten through exceptional performance in the assignments.

Points for each mark: