Course - Data Warehousing and Data Mining - TDT4300
Data Warehousing and Data Mining
About
About the course
Course content
This course gives an introduction to methods and theory for development of data warehouses and data analysis using data mining.
Data quality and methods and techniques for preprocessing of data.
Modeling and design of data warehouses.
Algorithms for classification, clustering and association rule analysis.
Practical use of software for data analysis.
Learning outcome
Knowledge: The candidate will get knowledge of: - Data preprocessing and data quality. - Modeling and design of data warehouses. - Algorithms for data mining.
Skills: - Be able to design data warehouses. - Ability to apply acquired knowledge for understanding data and select suitable methods for data analysis.
Learning methods and activities
Lectures and exercises.
Compulsory assignments
- Exercises
Further on evaluation
The exam is given in English.
If there is a re-sit examination, the examination form may change from written to oral. The re-sit examination is held in August.
Recommended previous knowledge
TDT4145 Data Modelling, Databases and Database Management Systems, or equivalent.
Course materials
Will be given at the start of the semester.
Subject areas
- Computer and Information Science
- Database technology
- Information Systems
- Computer Systems
- Computer Systems
- Informatics