Artificial Intelligence &emdash; Results 2013-2014 (a.a. 2012-2013)

Marks:

Assignment #1

Name Matricola Grade Notes
Andrea Lazzarotto 833897 9/10 Limited evaluation, upper bound on maximal alpha
Ismail Elezi 8/10 No evaluation
Tinsae Gebrechristos Dulecha 843867 8.5/10 limited evaluation
Eric Boscaro 835651 8.5/10 limited evaluation
Concina Alessandro 835543 8/10 Errors in code, limited evaluation,
Surafel Melaku Lakew 843907 10/10
Phung Nhu Kien 5.5/10 Uses only first 2 dimensions of the features, no evaluation,upper bound on maximal alpha
Yonatan Tariku Tesfaye 843100 10/10
Geeta 850897 unacceptable No report, no upper bound on dual, fixed training set
Kedir Hamid 850897 10/10
Nguyen Minh Phu 849289 8.5/10 Limited evaluation, upper bound on maximal alpha
Tarekegn Bertukan Yohannes 843310 8/10 Errors in code, limited evaluation
Mohamed Abdelhamied 849656 7.5/10 Only first part of the assignment, limited evaluation
Murat Karaman 7.5/10 Very terse report with no description of perceptron, no evaluation
Khurram Awan 6/10 No evaluation, description taken verbatim from references.
Ramesh Kolukuluri 850617 7/10 No evaluation, hardcoded classes
Chandra Sekhar Chaganti 850604 8/10 limited evaluation, fixed training set

Assignment #2

Name Matricola Grade Notes
Andrea Lazzarotto 833897 9/10 Limited analysis
Ismail Elezi 9/10 Limited analysis
Eric Boscaro 835651 9/10 Limited analysis
Kedir Hamid 850897 8.5/10 No attempt at analysis of differences, code identical to Kurram Awan and Chandra Sekhar Chaganti
Alessandro Concina 835543 9/10 Limited analysis
Surafel Melaku Lakew 843907 8.5/10 No attempt at analysis of differences
Tinsae Gebrechristos Dulecha 843867 8.5/10 Very limited attempt at analysis of differences.
Khurram Awan 7.5/10 No evaluation, code identical to Kedir Hamid and Chandra Sekhar Chaganti
Yonatan Tariku 843100 9/10 Limited analysis
Phung Nhu Kien unacceptable used built-in classifier code
Murat Karaman 7/10 Very terse report, no evaluation, no analysis
Chandra Sekhar Chaganti 850604 -/10 Terse report with no description of models, limited evaluation, no analysis, code identical to Kedir Hamid and Kurram Awan
Tarekegn Bertukan Yohannes 843310 8.5/10 No attempt at analysis of differences

Assignment #3

Name Matricola Grade Notes
Andrea Lazzarotto 833897 9/10 Limited analysis
Ismail Elezi 9/10 Limited analysis
Khurram Awan 9.5/10 Limited analysis
Yonatan Tariku 843100 8.5/10 Very limited analysis
Tinsae Gebrechristos Dulecha 843867 9/10 Limited analysis
Alessandro Concina 835543 10/10
Tarekegn Bertukan Yohannes 843310 8/10 Very limited analysis
Murat Karaman 7.5/10 No analysys
Kedir Hamid 850897 10/10
Surafel Melaku Lakew 843907 9.5/10 Limited analysis
Eric Boscaro 835651 10/10

Assignment #4

Name Matricola Grade Notes
Khurram Awan 10/10
Andrea Lazzarotto 833897 10/10
Alessandro Concina 835543 10/10
Eric Boscaro 835651 10/10
Tinsae Gebrechristos Dulecha 843867 8.5/10 Limited analysis
Yonatan Tariku 843100 8.5/10 Limited analysis
Surafel Melaku Lakew 843907 10/10
Kedir Hamid 850897 10/10
Ismail Elezi 10/10
Tarekegn Bertukan Yohannes 843310 8/10 Limited analysis

FINAL MARK

Name Matricola Grade Notes
Khurram Awan 27/30
Andrea Lazzarotto 833897 30/30
Alessandro Concina 835543 30/30
Eric Boscaro 835651 30/30
Tinsae Gebrechristos Dulecha 843867 28/30
Yonatan Tariku 843100 29/30
Surafel Melaku Lakew 843907 30/30
Kedir Hamid 850897 30/30
Ismail Elezi 29/30
Tarekegn Bertukan Yohannes 843310 24/10