Introduction to Computer Simulation Preliminaries Jonathan Thaler - PowerPoint PPT Presentation

Introduction to Computer Simulation Preliminaries Jonathan Thaler Department of Computer Science 1 / 15

Modeling, Simulation and Optimisation of complex Systems Overview and Motivation 2 / 15

Topics in this Specialisation 3 / 15

Competencies 4 / 15

Structure of Specialisation 1st Semester (WS 2020) : Overview and Introduction 1. Computational Intelligence I (Beyer) 2. Introduction to Computer Simulation of Complex Systems (Thaler) Overview over methods and application of modeling, simulation and optimisation and how they are related. Learn about basic techniques and methods for modeling, analysis and optimisation of complex systems . Learn about basic techniques of computational intelligence with Neuronal Networks. 5 / 15

Structure of Specialisation 1st Semester (WS 2020) Computational Intelligence I (Beyer) Basic methods and algorithms from the field of supervised neural network learning. Algorithms and methods to analyse the results. More about it by Prof. Beyer... 6 / 15

Structure of Specialisation 1st Semester (WS 2020) Introduction to Computer Simulation of Complex Systems (Thaler) Basics of the three simulation paradigms: continuous simulation, discrete simulation (Discrete Event Simulation), agent-based simulation. Modeling with System Dynamics, Queueing Models, Event Graphs, Agent Models. Experiment design and analysis of results, illustrated and exercised with concrete examples in various domains. 7 / 15

Structure Lecture : 2 SWS (3 ECTS) Assessment : Weekly / bi-weekly exercises Resources : Slides and Lecture Notes 1 1 https://homepages.fhv.at/thjo/lecturenotes/sim/index.html 8 / 15

Structure of Specialisation 2nd Semester (SS 2021) : Computational Intelligence II (Beyer) Advanced neural network learning techniques needed for deep learning. Evolutionary Strategies Genetic Algorithms More about it by Prof. Beyer... 9 / 15

Structure of Specialisation 3rd Semester (WS 2021) 1. Project Simulation and Optimization 2. Agent Based Computer Simulation Project in the context of a real problem. Inputs on advanced topics. Technical Report 10 / 15

Structure of Specialisation Goals of Project Simulation and Optimization Analysis and optimisation of a complex dynamic system. Critical evaluation of model validity, selection and adaption of modeling tools. Analysis of results based on data. Scientific discussion of results in class. Scientific evaluation and writing. 11 / 15

Structure of Specialisation Topics of Project Simulation and Optimization COVID-19 in Vorarlberg (this year). Industry 4.0 and IoT (digital twin, optimisation of factories,...). Traffic- and pedestrian dynamics (optimisation of traffic light sequences, pedestrian crossings,...). Macroeconomy such as market rules for renewable energies. Ecology (Settling, artificial societies, environmental pollution,...). Optimisation of distributed IT systems (protocols, computing capacity,...). 12 / 15

Corona Modalities Yellow Red Orange Green Lecture on site. Al- Lecture on- Lecture on Lecture on- ternative: line . site . line . participate online. 13 / 15

Contact Jonathan Thaler Room No.: S2 21 Phone: +43 5572 792 3012 Mail: jonathan.thaler@fhv.at Website: https://homepages.fhv.at/thjo/ 14 / 15

Questions Any Questions? 15 / 15