Artificial Intelligence &emdash; Results 2018-2019

Results:

Assignment #1
Name Matricola Grade Notes
Marco Roetta 876884 10/10 Very good background and analysis
Christian Bernabe Cabrera 843382 9.5/10 Good Background, analysis is there, but could have been developed more
Francesco Busolin 851884 9.5/10 Good Background, good analysis, but almost no conlcusions
Martina De Zan 846036 9/10 Good Background, limited analysis
Andrea Furlan 877704 8/10 The Background places a bit too emphasis on computaiona alspects (how) rather than what it is doing and why (theoretical background). The evaluation is a bit limited.
Fabio Rosada 851772 10/10 Good background and analysis
Filippo Bisconcin 852144 10/10 Good background and analysis
Duc Duong 871492 8.5/10 Very good background, analysis does not take into consideration speed/optimality tradeoff at all
Lorenzo Soligo 875566 10/10 Very good background and analysis
Mauro Noris 877632 9.5/10 Good Background, analysis is there with good pro/cons tables, but results are not presented and conclusions could have been developed more
Emanuele Motto 875565 9.5/10 Good Background, analysis is there with good pro/cons tables, but results are not presented and conclusions could have been developed more
Arapi Andi 860889 8/10 Acceptable background, limited evaluation. Conclusions not drawn from presented results
Francesco Benvenuto 858843 7.5/10 Acceptable background, almost no analysis
Alessio Ragazzo 860550 8/10 Acceptable background, very limited analysis
Daniele Crosariol 847056 9/10 Good background, very basic analysis
Sara Ferro 858974 9/10 Good background, very basic analysis
Fatjona Ismailaj 860833 9/10 Good background, very basic analysis
Woldeyohannes, Habtamu Desalegn 877159 9/10 Good background, very basic analysis
Filippo Maganza 858532 9/10 Good background and analysis, but limited analysis of speed/optimality tradeoff
Gianmarco Callegher 854612 10/10 Good background and analysis
Marco Marangoni 858450 9/10 Good background and analysis, but limited analysis of speed/optimality tradeoff
Emile Njodzefon Wirsiy 877322 7.5/10 Acceptable background, very limited analysis, some conclusions are unjustified and quite wrong
Zahida Parveen 874172 7/10 Limited background and almost no analysis
Arnaldo Santoro 822274 8/10 The Background places a bit too emphasis on computaiona alspects (how) rather than what it is doing and why (theoretical background). The evaluation is a bit limited
Leonardo Veronese 852057 9/10 Good background, very basic analysis

Assignment #2

Name Matricola Grade Notes
Lorenzo Soligo 875566 10/10 Good background and analysis
Marco Roetta 876884 10/10 Good background and analysis
Martina De Zan 846036 9/10 Good Background and analysis
Fabio Rosada 851772 10/10 Good background and analysis
Andrea Furlan 877704 10/10 Good background and analysis
Zahida Parveen 874172 6/10 Very limited background, more concerned with code rather than what it is doing and why (theoretical background). Almost no analysis
Francesco Busolin 851884 10/10 Good Background and analysis
Emanuele Motto 875565 9/10 (Developed with Noris) Good Background and analysis, but basically no conclusions
Mauro Noris 877632 10/10 (Developed with Motto) Good Background and analysis
Leonardo Veronese 852057 10/10 Good background and analysis
Emile Njodzefon Wirsiy 877322 10/10 Good background and conclusions
Marco Marangoni 858450 9.5/10 Good background and analysis, but conclusions/analysis of differences are limited
Filippo Maganza 858532 10/10 Good background and analysis
Francesco Benvenuto 858843 9.5/10 Good background and analysis, but conclusions/analysis of differences are limited
Arnaldo Santoro 822274 9/10 Good background, the evaluation is a bit limited
Gianmarco Callegher 854612 10/10 Good background and analysis
Alessio Ragazzo 860550 9.5/10 Good background and analysis, but conclusions/analysis of differences are a bit limited
Woldeyohannes, Habtamu Desalegn 877159 9.5/10 Good background and analysis, but conclusions/analysis of differences are a bit limited
Christian Bernabe Cabrera 843382 10/10 Good Background and analysis
Filippo Bisconcin 852144 9.5/10 Good background and analysis, but conclusions/analysis of differences are a bit limited
Sara Ferro 858974 10/10 Good background and analysis
Duc Duong 871492 9/10 Good background. The evaluation, in particular the conclusions, is a bit limited
Fatjona Ismailaj 860833 8/10 Good background, basically no results/analysis with very limited conclusions
Daniele Crosariol 847056 8/10 Good background, basically no results/analysis with very limited conclusions

Assignment #3

Name Matricola Grade Notes
Duc Duong 871492 10/10 Good background and analysis
Lorenzo Soligo 875566 10/10 Good background and analysis
Christian Bernabe Cabrera 843382 10/10 Good background and analysis
Marco Roetta 876884 10/10 Good background and analysis
Andrea Furlan 877704 10/10 Good background and analysis
Mauro Noris 877632 10/10 Good background and analysis
Emanuele Motto 875565 10/10 Good background and analysis
Alessio Ragazzo 860550 10/10 Good background and analysis
Gianmarco Callegher 854612 10/10 Good background and analysis
Marco Marangoni 858450 10/10 Good background and analysis
Francesco Busolin 851884 10/10 Good Background and analysis
Sara Ferro 858974 9/10 Good background, the evaluation is a bit limited
Fatjona Ismailaj 860833 9/10 Developed with Sara Ferro
Martina De Zan 846036 9/10 Good background, the evaluation is a bit limited
Leonardo Veronese 852057 9.5/10 Good background, the evaluation is a bit limited
Filippo Maganza 858532 10/10 Good background and analysis
Arnaldo Santoro 822274 10/10 Good background and analysis
Woldeyohannes, Habtamu Desalegn 877159 9.5/10 Good background and analysis, but conclusions/analysis of differences are a bit limited
Zahida Parveen 874172 7/10 Limited background and almost no analysis
Emile Njodzefon Wirsiy 877322 8.5/10 Good background, but limited analysis

FINAL MARK

Name Matricola Grade Notes
Duc Duong 871492 28/30
Lorenzo Soligo 875566 30/30 L
Christian Bernabe Cabrera 843382 30/30 L
Marco Roetta 876884 30/30 L
Andrea Furlan 877704 29/30
Mauro Noris 877632 30/30
Emanuele Motto 875565 29/30
Alessio Ragazzo 860550 29/30
Gianmarco Callegher 854612 30/30 L
Marco Marangoni 858450 30/30
Francesco Busolin 851884 30/30 L
Sara Ferro 858974 29/30
Martina De Zan 846036 28/30
Leonardo Veronese 852057 30/30
Fatjona Ismailaj 860833 27/30
Filippo Maganza 858532 30/30
Arnaldo Santoro 822274 28/30
Woldeyohannes, Habtamu Desalegn 877159 29/30
Zahida Parveen 874172 21/30
Emile Njodzefon Wirsiy 877322 27/30