In this project, students are expected to perform data mining tasks to extract the structure of all important components of a course from a given list of courses and to extract the correlation of all important components among different courses in the given list of courses.
Data Mining (or Knowledge Discovery) is a well-studied field, which can find interesting patterns from past history. For example, one interesting pattern in a US supermarket is that "diapers" and "beers" are usually bought together. Apparently, "diapers" and "beers" are not related. However, it is found that an American male who likes drinking beers usually buy diapers for his baby after his daily work.
Requirement: Students are required to have their GPA/CGA at least 3.7 (out of 4.0).
UROP1000 UROP1100 UROP2100 UROP3100 UROP4100
- to study some important problems in the field
- to implement some important algorithms in the field
- to conduct research
Applicant's Learning Objectives:
- to know how to implement some important algorithms in the field
- to know how to conduct research