Module #11 Simulation Fundamentals Introduction to simulation, discrete-event simulation, and simulation models
Module #12 Discrete-Event Simulation Simulation of queuing systems, inventory systems, and supply chains
Module #13 Monte Carlo Simulation Introduction to Monte Carlo methods, random number generation, and stochastic simulation
Module #14 Simulation Modeling Modeling complex systems, system dynamics, and system thinking
Module #15 Object-Oriented Programming for Simulation Introduction to OOP concepts, classes, objects, and inheritance for simulation
Module #16 Algorithms for Simulation Algorithms for event scheduling, entity management, and statistical analysis
Module #17 Simulation Software and Tools Overview of simulation software, such as Simul8, Arena, and AnyLogic
Module #18 Case Studies in Simulation Real-world applications of simulation in healthcare, finance, and logistics
Module #19 Design and Analysis of Experiments Design of experiments, response surface methodology, and sensitivity analysis
Module #20 Verification and Validation Verification, validation, and accreditation of simulation models
Module #21 Advanced Topics in Algorithmic Design Machine learning, deep learning, and AI applications in simulation
Module #22 Cloud Computing and Simulation Cloud-based simulation, high-performance computing, and distributed simulation
Module #23 Real-World Applications of Algorithmic Design and Simulation Applications in healthcare, finance, transportation, and other industries
Module #24 Ethics and Professionalism in Algorithmic Design and Simulation Ethical considerations, bias, and professionalism in algorithmic design and simulation
Module #25 Course Wrap-Up & Conclusion Planning next steps in Algorithmic Design and Simulation career
