Master the essentials of system simulation, probability, Python, and Rockwell Arena to solve real-world challenges.

What you'll learn

Understand the Fundamentals of System Simulation: Define key simulation concepts, differentiate between modeling and simulation, and classify simulation models.
Use probability theory, statistical distributions, and random number generation methods to support simulation stu
Develop and analyze simulations with Rockwell Arena and Python, Julia, Java leveraging modules like SimPy for advanced problem-solving.
Verify and validate simulation models while interpreting the results to make informed decisions in real-world scenarios.

Requirements

Basic knowledge of mathematics and statistics.
Familiarity with basic programming concepts (optional but helpful).
A computer with internet access for installing required software like Python, Jupyter, or Rockwell Arena.

Description

Are you ready to explore the exciting world of system simulation? This comprehensive course is designed to provide you with a strong foundation in simulation modeling, probability, and practical tools to analyze and optimize real-world systems. Whether you are a student, engineer, or professional, this course will equip you with the skills needed to tackle complex decision-making problems using simulation techniques.The course begins with an introduction to system simulation, including terminology, model classification, and data collection techniques. You will learn how to set up, verify, and validate simulation models while exploring popular tools in the industry.Next, you'll dive into the mathematical foundations of simulation, covering probability theory, statistical distributions, and random number generation. These concepts are essential for building accurate and reliable simulation models.The course also features practical applications, including modules on Rockwell Arena, Julia programming, Python programming, and the SimPy library. You'll learn how to use these tools to create simulations for real-world scenarios like bank teller systems and car wash operations.By the end of this course, you'll have a clear understanding of system simulation and the confidence to apply it in your projects. Join us today and take the first step towards mastering this valuable skill set!

Who this course is for

Students and professionals interested in learning the fundamentals of system simulation
Beginner to intermediate learners looking to explore discrete event simulation and Python-based simulation tools.
Engineers, data analysts, and decision-makers seeking practical knowledge to implement simulation in real-world scenarios.
Homepage:

https://www.udemy.com/course/system-simulation/