Stochastic Modeling and Simulation

    Course Code: 
    8167
    Semester: 
    7th
    Specialization Courses
    Professor: 

    MOURTOS IOANNIS, ZISIS DIMITRIOS

    Course Description

    • Introduction to Game Theory
    • Stochastic Models in Operations Research
    • Modeling of Discrete Systems
    • Activity Cycle Diagram
    • Simulation Methodologies
    • Input Analysis
    • Simulation and Industry 4.0Simulation Program

    Learning Outcomes

    Upon successful completion of the module "Stochastic Modelling and Simulation," students will have acquired both basic and advanced knowledge of the techniques of stochastic modelling and simulation. Specifically, they will be able to understand and apply methods of modelling and stochastic processes, such as Markov chains and Poisson processes. Furthermore, students will develop skills in using specialised simulation software (Simul8), be able to design and conduct simulation experiments, and analyse their results to make decisions under uncertainty. They will also acquire critical thinking and problem-solving abilities, enabling them to formulate and evaluate stochastic models in various management fields