TU Delft
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2011/2012 Technology, Policy and Management Master Complex Systems Engineering and Management
Fundamentals of Data Analytics
Module Manager
Name E-mail
Prof.dr.ir. J. van den Berg    J.vandenBerg@tudelft.nl
Contact Hours / Week x/x/x/x
Education Period
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Exam Period
Course Language
Course Contents
The current Information and Communication Technology enables organisations to monitor all their activities at any detailed level. In this way, large amounts of data are collected.

Intelligent organisations bring their data together in big datawarehouses and integrate them to information and knowledge, based on which operational activities can be optimized and strategic decisions underpinned. The transformation of data into information and knowledge is based on the use of a broad spectrum of intelligent methods in combination with sophisticated visualization techniques.

The intelligent organization is characterized by its efficiency and effectiveness of the realization of its business goals and, in addition to that, by its agility and resilience, i.e., its flexibility to deal with changing market conditions and other unexpected difficulties at both strategic, tactic and operational level.

BI software applications include decision support systems, query languages (with, among others, search functionality) rapporting tools (like dashboards and google maps), online analytical processing, statistical analysis, (intelligent) software for classification and prediction, and data mining/machine learning.

BI software tools also concern methods for the consolidation of data in datawarehouses and datamarts.

During the course, all these aspects are discussed at a fundamental level. Most emphasis is put on advanced methods for intelligent data analysis.

Course Contents Continuation
This course (having code SPM4450 and 5 ects) is the replacement of the similar, older course Fundamentals of BI (having code SPM4424 and 6 ects).
Students willing to follow this course in the older fashion (as SPM4424) need to inform the module manager about this.
Study Goals
The learning objectives of this course are
a) to get an overview of the Business Intelligence field;
b) to understand the fundamental principles that underly
1) the realization of an intelligent organisation
2) the transformation of data into information and knowledge
c) to obtain some experience with basis BI tools and/or applications.

In practice, the learning goals of different student groups are somewhat different. The course allows students with different backgrounds to focus on different aspects in the huge field called Business Intelligence. Three perspectives can be chosen from:
(a) the business perspective;
(b) the computer science perspective;
(c) the intelligent data analysis perspective.
Education Method
Classical lectures and discussions: around 14.
Course Relations
This course is truly an advanced version of the introductory BSc course "Business Intelligence" (there is little overlap and all topics are treated at much more fundamental level).
Literature and Study Materials
Intelligent Data Analysis: see http://www.springer.com/computer/image+processing/book/978-3-540-43060-5

A (legal) soft copy of this book is made available.

Very many other materials (slides, books, articles, references to software packages, etc.) will be made available as well.
Groups of (in principal two) students are composed who work on a self-chosen practical assignment while choosing one of the possible perspectives on BI (see learning goals = leerdoelen).

The deliverable of the assignment is a scientific report that includes, among others, a literature review related to the topic of choice.

Groups of students work separately and get supervision and feedback on their work progress from the lecturer(s).