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
KursübersichtAllgemeine Informationen, die auch im Vorlesungsverzeichnis (Stundenplan) zu finden sind.
|Studiengang||AITM Automation and IT Master|
|Fach||Case Study: Implementation of an Open Source Event Detection System|
|Raum||1518 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 https://software.sandia.gov/trac/canary. We are planning to transfer parts of the software to the open source software GNU Octave (https://www.gnu.org/software/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
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
T. Bartz-Beielstein, S. Chandrasekaran, SPOTSeven Lab Team
Flexible start. Case study can be prepared during the summer months.
IMProvT research project
OWOS research project