Official course description, subject to change:
Preliminary info last published 27/06-19

Data Mining

Course info
Language:
English
ECTS points:
7.5
Course code:
KSDAMIN1KU
Offered to guest students:
yes
Offered as a single subject:
yes
Price (single subject):
10625 DKK (incl. vat)
Programme
Level:
MSc. Master
Programme:
Master of Science in Information Technology (Software Design)
Staff
Course semester
Semester
EfterÄr 2020
Start
24 August 2020
End
31 January 2021
Abbreviation
20202
Exam
Abstract

This course gives an introduction to the field of data mining. The course is relatively practically oriented, focusing on applicable algorithms. Practical exercises will involve both use of a freely available data mining package and individual implementation of algorithms.

Description

The course will cover the following main topics:

  • The data mining process
  • Cluster analysis
  • Data pre-processing
  • Pattern and association mining
  • Classification and prediction

Application examples will be given from domains including demographics, image processing and healthcare.

Intended learning outcomes

After the course, the student should be able to:

  • Analyze data mining problems and reason about the most appropriate methods to apply to a given dataset and knowledge extraction need.
  • Implement basic pre-processing, association mining, classification and clustering algorithms.
  • Apply and reflect on advanced pre-processing, association mining, classification and clustering algorithms.
  • Work efficiently in groups and evaluate the algorithms on real-world problems.
Ordinary exam
Exam type:
D: Submission of written work with following oral, external (7-trinsskala)
Exam variation:
D2G: Submission of written work for groups with following oral exam supplemented by the work submitted. The group has a shared responsibility for the content of the report.
Exam description:
Mixed exam 1
The students make a joint presentation followed by a group dialogue. Subsequently the students are having individual examination with presentation and / or dialogue with the supervisor and external examiner while the rest of the group is outside the room.
Duration: 20 minutes per student.
The oral exam will cover the entire course's material. The written hand-in is the result of a self-selected data mining project performed in a group of three. The written submission will allow for an allocation of effort in the group.