Show/hide contentOpenClose All
Curricular information is subject to change
- Why Data Mining and what is Data Mining?
- What is Data Warehouse and its architecture?
- Understand multi-dimensional data model.
- Understand the data pre-processing phase.
- Understand core functions of Data Mining.
- Classification, clustering and association rules .
~
Student Effort Type | Hours |
---|---|
Lectures | 24 |
Practical | 24 |
Autonomous Student Learning | 76 |
Total | 124 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Practical Skills Assessment: The module has a weekly practical session. The students will be asked to submit some of the practical works. There will be two practical submissions during the semester. | n/a | Graded | No | 25 |
|
Exam (In-person): This final exam, which usually takes place by the end of the semester, is organised by the UCD exams office. | n/a | Graded | No | 50 |
|
Quizzes/Short Exercises: These are short assessments organized every five weeks. They consist of in-class exercises, quizzes, and MCQ-type questions. | n/a | Graded | No | 25 |
Resit In | Terminal Exam |
---|---|
Spring | Yes - 2 Hour |
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
• Online automated feedback
The students will be given feedback on their tutorial or practical work within 2 weeks following their submissions.