TDT4300 - Data Warehousing and Data Mining

About

Examination arrangement

Examination arrangement: Written examination
Grade: Letters

Evaluation form Weighting Duration Examination aids Grade deviation
Written examination 100/100 4 hours D

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

If there is a re-sit examination, the examination form may change from written to oral.

Specific conditions

Exam registration requires that class registration is approved in the same semester. Compulsory activities from previous semester may be approved by the department.

Course materials

Will be given at the start of the semester.

Timetable

Detailed timetable

Examination

Examination arrangement: Written examination

Term Statuskode Evaluation form Weighting Examination aids Date Time Room *
Spring ORD Written examination 100/100 D 2019-05-25 09:00
  • * The location (room) for a written examination is published 3 days before examination date.
If more than one room is listed, you will find your room at Studentweb.