Study programme 2018-2019 | Français | ||
Datawarehousing and Datamining | |||
Programme component of Master's Degree in Computer Science à la Faculty of Science |
Code | Type | Head of UE | Department’s contact details | Teacher(s) |
---|---|---|---|---|
US-M1-SCINFO-005-M | Optional UE | WIJSEN Jef | S832 - Systèmes d'information |
|
Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
---|---|---|---|---|---|---|---|---|---|
| Français | 30 | 0 | 30 | 0 | 0 | 6 | 6.00 | 2nd term |
AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
---|---|---|---|---|---|---|---|---|
S-INFO-027 | Datawarehousing and Datamining | 30 | 0 | 0 | 0 | 0 | Q2 | |
S-INFO-888 | Datawarehousing and Datamining: Practical Work | 0 | 0 | 30 | 0 | 0 | Q2 |
Programme component |
---|
Objectives of Programme's Learning Outcomes
Learning Outcomes of UE
Understand the goals and technology of data mining.
Content of UE
Data warehousing
Data quality
Data cleaning and data integration
Classification
Association reules
Clustering
Prior Experience
Not applicable
Type of Assessment for UE in Q2
Q2 UE Assessment Comments
The weight of the personal assignment can vary between 10% and 40% of the final mark; the weight that is most favorable to the student will be applied.
Type of Assessment for UE in Q3
Q3 UE Assessment Comments
The weight of the personal assignment can vary between 10% and 40% of the final mark; the weight that is most favorable to the student will be applied.
Type of Teaching Activity/Activities
AA | Type of Teaching Activity/Activities |
---|---|
S-INFO-027 |
|
S-INFO-888 |
|
Mode of delivery
AA | Mode of delivery |
---|---|
S-INFO-027 |
|
S-INFO-888 |
|
Required Reading
AA | |
---|---|
S-INFO-027 | |
S-INFO-888 |
Required Learning Resources/Tools
AA | Required Learning Resources/Tools |
---|---|
S-INFO-027 | Web site with course notes, slides, and past examinations. Pang-Ning Tan, Michael Steinbach, Vipin Kumar: Introduction to Data Mining. Addison-Wesley 2005, ISBN 0-321-32136-7 (chapters available online) Weka data mining software |
S-INFO-888 | Not applicable |
Recommended Reading
AA | |
---|---|
S-INFO-027 | |
S-INFO-888 |
Recommended Learning Resources/Tools
AA | Recommended Learning Resources/Tools |
---|---|
S-INFO-027 | Not applicable |
S-INFO-888 | Not applicable |
Other Recommended Reading
AA | Other Recommended Reading |
---|---|
S-INFO-027 | Not applicable |
S-INFO-888 | Not applicable |