This page is online until end of September, 2022.Īrtificial Intelligence’s (AI) primary aim in a health-related environment is to provide clinical decision and diagnostic support by analyzing relationships between treatment options and patient outcomes. Tutorial participants get the login for this page on Monday, July 25, evening, via e-mail. Registered Tutorial Participants get access to scripts and recordings of the tutorials at webpage This page provides scripts, hand-outs, slides, and links for the tutorials (before), and the recordings of the tutorials (after).
#Mathmod app registration
For the tutorials, a separate registration (independent from conference registration) is necessary - please use the link in the menu above (Participants may register also for parallel tutorials, and for 'late participation', as tutorials are recorded). Tutorials are open only to MATHMOD 2022 participants (confirmed conference registration), ASIM 2022 participants (confirmed conference registration), and TU Wien members (tutorial r egistration only with TU Wien Email). Recorded tutorials and tutorial handouts will allow registered tutorial participants to have access also 'after' the tutorial - ideal for tutorials in paralell, 'late participation', etc. In order to allow participation at 'parallel' tutorials and 'later' participation, tutorials will be recorded (partly). Reinforcement Learning with Applications Matthias Wastian, Dominik Brunmeir, dwh Wien & TU Wien (B2).Agent-based Modelling for Health Science Dominik Rothschedl, Jakob Rosenberger, dwh Wien & TU Wien (B1).Modelica System Dynamics Library Peter Junglas, PHWT Vechta (B2).Modelica Thermofluid Stream Library Dirk Zimmer, DLR (B1).MATLAB DEVS - Discrete Event Simulation Christina Deatcu, Univ.MATLAB Biomedical Signals - AI Hands-On Workshop Kathi Kugler, The MathWorks (B2).Teaching with MATLAB Kathi Kugler, The MathWorks Clara Horvath, Iris Feldhammer, Andreas Körner, TU Wien (B1).On Tuesday,, in the afternoon Tutorials for MATHMOD 2022, for ASIM 2022 and for TU Vienna people are organised: MATLAB, Modelica, System Dynamics, DEVs, and Agent-based Modelling and Reinforcement Learning - in modelling and applications (B1 Block1 13.30-15.30, B2 Block 2 16.00-18.00)
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