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Knowledge Discovery from Data of an Insurance Company
Kříž, Ondřej ; Burgetová, Ivana (referee) ; Bartík, Vladimír (advisor)
This bachelor thesis deals with the issue of knowledge discovery from databases. Its aim is to compile algorithmically processable datasets from operational data of an unnamed insurance company, which will subsequently be analyzed by functions of the scikit-learn library in the Python language using various classification algorithms and the FP-growth algorithm in the area of creating strong association rules and subsequent evaluation of results.
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Knowledge Discovery from Time Series
Krutý, Peter ; Burget, Radek (referee) ; Bartík, Vladimír (advisor)
This thesis is focused on the field of knowledge discovery from data, specifically from time series. Main objective is to research Python programming language support in this area and then design and implement an application that will allow to demonstrate and compare selected methods. Methods are demonstrated in experiments using appropriate data set. The output of the thesis is a comparison of methods for specific tasks and the application implementing selected methods.
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Teaching Advanced Python through Automatic Feedback to Student Codes
John, Petr ; Dočekal, Martin (referee) ; Smrž, Pavel (advisor)
This bachelor thesis focuses on the topic of teaching Python programming language assisted by automated system that can provide feedback to submitted solutions. The goal of this thesis was creation of automated system that could evaluate student solutions and provide feedback. The main emphasis was on provided feedback and options for limiting resources that can be used. Created system provides feedback based on the analysis of abstract syntax trees assembled from submitted solutions, allows an administrator to attach tips from third party programs and set restrictions on resources, libraries and functions, that can be used. System was used during summer semester in ISJ course and 60 % of students improved their solution based on feedback given by system. This suggests that created system can be used during Python tuition.
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Knowledge Discovery from Time Series
Krutý, Peter ; Burget, Radek (referee) ; Bartík, Vladimír (advisor)
This thesis is focused on the field of knowledge discovery from data, specifically from time series. Main objective is to research Python programming language support in this area and then design and implement an application that will allow to demonstrate and compare selected methods. Methods are demonstrated in experiments using appropriate data set. The output of the thesis is a comparison of methods for specific tasks and the application implementing selected methods.
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Teaching Advanced Python through Automatic Feedback to Student Codes
John, Petr ; Dočekal, Martin (referee) ; Smrž, Pavel (advisor)
This bachelor thesis focuses on the topic of teaching Python programming language assisted by automated system that can provide feedback to submitted solutions. The goal of this thesis was creation of automated system that could evaluate student solutions and provide feedback. The main emphasis was on provided feedback and options for limiting resources that can be used. Created system provides feedback based on the analysis of abstract syntax trees assembled from submitted solutions, allows an administrator to attach tips from third party programs and set restrictions on resources, libraries and functions, that can be used. System was used during summer semester in ISJ course and 60 % of students improved their solution based on feedback given by system. This suggests that created system can be used during Python tuition.
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