Case Study EDS

Im April 2018 wurde das Institut für Data Science, Engineering, and Analytics (IDE+A) an der TH Köln gegründet. Informationen zu Professor Bartz-Beielstein Vorlesungen sind ab sofort auf den Seiten des Instituts IDE+A zu finden:

Implementation of an Open Source Event Detection System

Here is the link to the official module description:
Modul: Case Study: Modelling, Simulation, Control and Optimization (MSCO) (English)

Kick-off Meeting: 25.10.2017, 12:00, room 1518


Allgemeine Informationen, die auch im Vorlesungsverzeichnis (Stundenplan) zu finden sind.
StudiengangAITM Automation and IT Master
DozentenBartz-Beielstein, Chandrasekaran
FachCase Study: Implementation of an Open Source Event Detection System
Raum1518 Steinmüllerallee 6

a. CANARY is an event detection software for water distribution networks, which is developed by leading research institutes (US environmental protection agency, Sandia National Labs). The software is available as an open source matlab toolbox, see We are planning to transfer parts of the software to the open source software GNU Octave (
During the first part of the study, you will learn about typical features of CANARY and select parts that will be translated to Octave. The second part is devoted to implementation and testing (especially comparing results from matlab and Octave).

b. What do you learn?
 Programing in a state-of- the-art scientific computing programming language
 Dealing with practical engineering problems from industry
 Documentation of software projects
 Working in teams

c. Requirements
 Good programming skills (matlab/octave)
 Scientific working and writing
 Interest in complex real-world problems
 Knowledge of data mining, process control, statistics as introduced in DDMO/APCO

e. Tutors:
T. Bartz-Beielstein, S. Chandrasekaran, SPOTSeven Lab Team

f. Duration:
Flexible start. Case study can be prepared during the summer months.
DDMO/APCO Partners:

d. Project
 Thüringer Fernwasserversorgung
 Aggerverband
 IMProvT research project
 OWOS research project