UUM Electronic Theses and Dissertation
UUM ETD | Universiti Utara Malaysian Electronic Theses and Dissertation
FAQs | Feedback | Search Tips | Sitemap

Rough Set Rules Extraction for Student Programming Skills

Kerwad, Mokhtar Massoud (2006) Rough Set Rules Extraction for Student Programming Skills. Masters thesis, Universiti Utara Malaysia.

[thumbnail of Mokhtar_Massoud_Kerwad_-_Rough_set_extraction_for_student_programming_skills.pdf] PDF
Restricted to Registered users only

Download (919kB) | Request a copy
[thumbnail of Mokhtar_Massoud_Kerwad_-_Rough_set_extraction_for_student_programming_skills.pdf]

Download (189kB) | Preview


Programming is a critical subject to computer science or information technology students. It is one of the fundamental skills they need to acquire during study. The aim of the study is to generate a compact set of rules using real data to predict student's performance. Not all variables as usual if good results are to be obtained. Data mining refers to one of the phases or step within the knowledge discovery in databases (KDD) processes for
extracting used rough set technique. The extracted rules will be a measurement of the students' performance in programming and give the insight to educators on what should
be help the students to master programming skills.

Item Type: Thesis (Masters)
Supervisor : UNSPECIFIED
Item ID: 1848
Uncontrolled Keywords: Computer Science, Data Mining, Rough Set Rules Extraction
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty and School System > Faculty of Information Technology
Date Deposited: 19 Jun 2010 08:31
Last Modified: 24 Jul 2013 12:13
Department: Faculty of Information Technology
URI: https://etd.uum.edu.my/id/eprint/1848

Actions (login required)

View Item
View Item