Masterstudium Business Informatics - Fakultät für Informatik, TU Wien
Masterstudium Business Informatics - Fakultät für Informatik, TU Wien
Masterstudium Business Informatics - Fakultät für Informatik, TU Wien
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BIN/MOS - Modeling and Simulation<br />
ECTS-Credits: 6.0<br />
Summary: This module oers a compact introduction into the art of modeling and into<br />
the technique of simulation. Students learn how to perform a simulation study correctly<br />
following all necessary steps from data acquisition, (mathematical) modeling, implementation,<br />
validation, identication, and result analysis. Dierent modeling techniques (from<br />
dierential and dierence equations via cellular automata to soft computing-based modeling<br />
techniques and discrete event modeling) are compared and appraised with respect<br />
to data availability. Using standard and experimental simulation systems students work<br />
on case studies in various application areas (from economics via production to physics<br />
and health care).<br />
Learning Outcomes:<br />
Knowledge:<br />
Skills:<br />
• Dierent methods for modeling dynamical processes<br />
• Choose of an appropriate model with respect to the available data<br />
• Technical knowledge to compare dierent possible modeling approaches and to<br />
decide for the most appropriate approach with respect to data and modeling goal<br />
• Skills trained cognitive and practically to perform a simulation study correctly,<br />
from denition and modeling via software choice and implementation and via<br />
model identication and model validation up to experiment design, experiment<br />
execution, and result analysis<br />
Competences:<br />
• Communication with experts in various application areas in order to gather information<br />
for appropriate modeling and for appropriate simulation documentation<br />
• Innovation in formulating dependencies in the model and for the design of communication<br />
of appropriate and creative results<br />
Syllabus: The module consists of partly independent lecture parts, which introduce into<br />
the technique of a simulations study, which impart knowledge for dierent modeling approaches<br />
and for appropriate and practical implementations (supported by an e-learning<br />
system), and which emphasize on model validation and identication.<br />
• Introduction into the technique of a simulation study sketching all steps from<br />
mathematical modeling via implementation and validation until experiment design<br />
and experiment execution<br />
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