Research on Mining Course Structure
Project Description

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).

Supervisor
WONG Raymond Chi Wing
Quota
3
Course type
UROP1000
UROP1100
UROP2100
UROP3100
UROP4100
Applicant's Roles

- 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

Complexity of the project
Challenging