Objectives of Programme's Learning Outcomes

• Have acquired highly specialised and integrated knowledge and broad skills in the various disciplines of computer science, which come after those within the Bachelor's in computer science.
• Apply scientific methodology.
• Demonstrate thoroughness, independence, creativity, intellectual honesty, and ethical values.

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

• Presentation and/or works
• Written examination

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

• Presentation and/or works
• Written examination

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.