Business Intelligence en Process Modeling

Vakbeschrijving Business Intelligence en Process Modeling
Collegejaar: 2015-2016
Studiegidsnummer: 4032IEBIP
Docent(en):
  • dr. F.W. Takes
Voertaal: Nederlands
Blackboard: Nee
EC: 6.0
Niveau: 300
Periode: Semester 2
Onderwijstijd in uren
(excl. zelfstudie):
59:00 uur
  • Wel Keuzevak
  • Wel Contractonderwijs
  • Geen Exchange
  • Geen Study Abroad
  • Geen Avondonderwijs
  • Geen A-la-Carte en Aanschuifonderwijs
  • Geen Honours Class

Toegangseisen

Niet van toepassing

Beschrijving

In a dynamic world organizations must constantly optimize, update, and monitor the execution of their processes to stay competitive and efficient. These processes are developed on the basis of organizational targets and strategic goals, but of course the underlying IT landscape is also of influence on process design, development, implementation, and execution. In this course business and IT come together in a data-driven approach to understanding business process management.

Leerdoelen

By the end of the course, the student should be able to:

  1. Be aware of the most relevant concepts and achievements in this research area.
  2. Be able to model a business process in a common notation and
  3. Understand the differences, strengths, and weaknesses of specific modeling languages.
  4. Be able to undertake an independent research project into business process mining.
  5. Be able to apply data mining methods in an organizational context.

Rooster

Het meest recente rooster is te vinden op de Liacs website

Onderwijsvorm

Per week 2 uur hoorcollege gevolgd door 2 uur werkcollege

Toetsing

Tentamen (60%) en practicum (40%).

Literatuur

The following book is compulsary for the course:
Process Mining: Discovery, Conformance and Enhancement of Business Processes by Wil van der Aalst.
Furthermore, the literature for the course will take the form of a collection of scientific articles that are discussed during the lectures. For the practical part we will make use of open source tools.

Aanmelden

Aanmelden via Usis: Selfservice > Sudentencentrum > Inschrijven
Activiteitencodes te vinden via de facultaire website

Voor studenten die niet staan ingeschreven voor de bachelor Informatica is er een beperkte capaciteit. Neem contact op met de studieadviseur.

Contact

Onderwijscoördinator Informatica en Economie

Website

Business Intelligence & Process Modeling

Talen