Lectures Held on a Regular Basis

Please click here to find the lectures that are held on a regular basis. This information can be used to create a study plan. However, this information is tentative, i.e. always check the lectures of the current and next semester to keep the study plan up to date.

Lectures of the Current Semester

Module details on 'Data Warehousing and Data Mining Techniques - Data Warehousing and Data Mining Techniques'

CategoryData & Information
LecturerProf. Dr. Balke, Wolf-Tilo (Braunschweig)
Module Exam ID2005
Weekly Composition2L+1E
Required Hours of Work (presence / self-study)125 (42 / 83)
Semesterperiodically, according to student demand and staff specialisms
Teaching Methodsslide presentation, home work, discussions
Module DescriptionThis module will give a broad overview over all methods that are necessary for building and using data warehouses in large-scale applications. Besides typical techniques for warehouse design, indexing, and online analytical processing (OLAP), also advanced data mining techniques like frequent item set mining and association rules are covered in the lecture.
Module OutcomesOn completion of this module, the students know the basic designs, theoretical foundations, and practical applications of data warehouses. Also, they have deep understanding of employed data structures and algorithms. This enables students to identify and recognize typical data warehouse problems in common business cases. They are able to assess and analyse these problems, and based on their results and their technical proficiency with common tools, techniques, and concepts, they are able to develop requirements and designs for suitable data warehouse solutions. Furthermore, the students are aware of typical challenges arising from the introduction of data warehouse solutions, and are have an understanding of the impact of these solutions on a company’s workflows. Also, the students learn to deal with scientific source material by working with state-of-the art scientific publications which go far beyond typical capabilities of currently available tools.
Recommended Literature-W. Inmon: Building the Data Warehouse, Wiley, ISBN 0-7645-9944-5 -R. Kimball & M. Ross: The Data Warehouse Toolkit, Wiley, ISBN 0-471-20024-7 -Erik Thomsen: OLAP Solutions, Wiley, ISBN 0-471-40030-0 -Robert Wrembel & Christian Koncilia: Data Warehouses and OLAP, IRM Press, ISBN 1-59904364-5
PrerequisitesPrior knowledge in basic database technology (e.g. SQL, relational algebra, etc) is required.
ExamWritten or oral exam, graded (Written (120 min) / Oral (25min))
CommentsE-Teaching Modes: Video Recording, Live transmission to other Universities, Individual Streaming might be possible in the future

Available Course Modes

In the following document you can get an overview about the available course modes that are offered in the ITIS Master's program: Course Modes