DE

Modul

Theory and Practice of Data Warehousing and Mining [M-INFO-101256]

Credits
9
Recurrence
Jedes Semester
Duration
1 Semester
Language
Level
4
Version
8

Responsible

Organisation

  • KIT-Fakultät für Informatik

Part of

Bricks

Identifier Name LP
T-INFO-101306 Datamanagement in the Cloud 5
T-INFO-111400 Database as a Service 5
T-INFO-112844 Practical Course: Data Science for Scientific Data 6
T-INFO-113124 Data Science 8
T-INFO-111622 Data Science 1 5
T-INFO-105796 Practical Course: Analysis of Complex Data Sets 4
T-INFO-103201 Practical Course: Database Systems 4
T-INFO-108377 Data Privacy: From Anonymization to Access Control 3
T-INFO-105742 Big Data Analytics 2 3
T-INFO-101317 Deployment of Database Systems 5
T-INFO-106219 Practical Course: Implementation and Evaluation of Advanced Data Mining Approaches for Semi-Structured Data 4
T-INFO-111626 Data Science 2 3
T-INFO-103202 Analyzing Big Data - Laboratory Course 6
T-INFO-111262 Practical Course: Data Science 6
T-INFO-101305 Big Data Analytics 5

Competence Goal

The students

  • know the research area of information systems in its various facets and are able to do scientific work in this area,
  • are able to explain and to discuss complex aspects of the topics covered by this module with both experts and informed outsiders,
  • know the concepts, algorithms, techniques and selected tools in the areas of data warehousing and data mining,
  • are familiar with the practical challenges of data analysis and are able to develop respective solutions on their own.

Prerequisites

None

Content

This module aims at exposing students to modern information management, both, in 'breadth´ and 'depth´. We achieve 'breadth´ by means of a close inspection and comparison of different systems and their respective aims. We achieve 'depth´ by means of an extensive examination of the underlying concepts and design alternatives, their assessment as well as by discussing applications. In particular, we look at data warehousing and mining techniques not only from a theoretical point of view but deploy and realise such technologies in a practical course.